bluuebunny/crossref_metadata_2025 huggingface dataset:
ГЕНЕРАЦІЯ ПРОЦЕСІВ САМООРГАНІЗАЦІЇ ТА САМОЗБОРКИ В БІОЛОГІЧНІЙ ТКАНИННІЙ ІНЖЕНЕРІЇ ТА РЕГЕНЕРАТИВНІЙ МЕДИЦИНІ
Authors: Mintser O. P. , Zaliskyi V. M. , Babintseva L. Yu.
Published: December 2019

В аналітичному дослідженні розглядаються самоорганізація та самозборка як процеси безкаркасної тканинної інженерії. Описано характеристики та переваги кожного процесу, а також надано ключові приклади тканин, створених із використанням цих процесів на основі безкаркасних тканєінженерних платформ, з метою намітити рекомендації для майбутніх розробок тканинної інженерії в умовах клініки. Постулюється, що одним із найбільш перспективних напрямів досліджень слід визнати процес самозборки, який призводить до формування функціональної тканини клітинним способом, що не вимагає зовнішнього введення енергії. У той же час обґрунтування та ідентифікація оптимальної по заданому критерію системи формування складної тканини — вільної від скаффолда або заснованої на скаффолді — представляє нетривіальне завдання поєднання різних систем і незалежних типів клітин.
КОМБІНОВАНА ОБРОБКА ДАНИХ САМОСТІЙНОГО МОНІТОРИНГУ РІВНЯ ГЛЮКОЗИ В КРОВІ
Authors: Chuiko G. P. , Dvornik O. V. , Darnapuk Y. S.
Published: December 2019

Самостійний моніторинг рівня глюкози в крові протягом довгого періоду є одним із засобів моніторингу стану здоров'я. Дані представленого дослідження дозволяють корегувати лікування та спосіб життя людей, хворих на діабет. Тренди, мінливість та сезонність серій є базовими для запровадження таких рішень, для чого пропонується використовувати комбіновану обробку даних. Така обробка включає в себе сингулярно-спектральний аналіз (ССА) з використанням графіків Пуанкаре та дослідження статистичної автокореляційної функції (АКФ).

Об'єкт дослідження — 67-річний чоловік з довгою історією хвороби на діабет другого типу (T2D). Тести проводились три рази на тиждень за схемою «Понеділок-Середа-П'ятниця». Загальний час виміру складає 176 тижнів, тому часова серія має довжину в N=528 семплів.

У результаті автокореляційна функція спрогнозувала сезонність серії. Сума плавного тренду, найменші коливання та залишки (шуми) і є моделлю серії. Такий підхід є стандартним для ССА. Знайдено плавний тренд із зміною. Найменший період (плюс сезонність) близький до шести місяців. Аналіз графіку Пуанкаре показує випадкову природу короткострокової варіабельності серій, тоді як довгострокова має сезонність як основне джерело.

Тренд має випуклу форму. Виявлено затримку між початком лікування інсуліном та точкою зміни. Ця затримка близька до періоду найменших коливань (близько шести місяців). Результати сингулярно-спектрального аналізу, графіків Пуанкаре та досліджень автокореляційної функції узгоджуються між собою.
Prognostic Significance of Serum Cholinesterase Level in Patients With Acute Decompensated Heart Failure With Preserved Ejection Fraction: Insights From the PURSUIT‐HFpEF Registry
Authors: Seo Masahiro , Yamada Takahisa , Tamaki Shunsuke , Hikoso Shungo , Yasumura Yoshio , Higuchi Yoshiharu , Nakagawa Yusuke , Uematsu Masaaki , Abe Haruhiko , Fuji Hisakazu , Mano Toshiaki , Nakatani Daisaku , Fukunami Masatake , Sakata Yasushi
Published: December 2019

Background

Malnutrition is one of the most important comorbidities in patients with heart failure with preserved ejection fraction. We recently reported the prognostic significance of serum cholinesterase level and superior predictive power of
cholinesterase
level to other objective nutritional indices such as the controlling nutritional status score, prognostic nutritional index, and geriatric nutritional risk index in patients with acute decompensated heart failure. The aim of this study was to clarify the prognostic role of cholinesterase in patients with heart failure with preserved ejection fraction/acute decompensated heart failure and investigate incremental cholinesterase value.

Methods and Results

We prospectively studied 274 consecutive patients from the PURSUIT‐HFpEF (Prospective Multicenter Observational Study of Patients with Heart Failure With Preserved Ejection Fraction) study. During a follow‐up period of 1.2±0.6 years, 56 patients reached the composite end points (cardiovascular death and readmission for worsening heart failure). In the multivariable Cox analysis, cholinesterase level was significantly associated with the composite end points after adjustment for major confounders. A Kaplan–Meier analysis revealed that patients with low cholinesterase levels (stratified by tertile) had significantly greater risk of reaching the composite end points than those with middle or high cholinesterase levels (
P
=0.0025).
C
holinesterase level showed the best C‐statistics (0.703) for prediction of the composite end points among the objective nutritional indices. C‐statistics of the Meta‐Analysis Global Group in Chronic Heart Failure (MAGGIC) risk score for prediction of the composite end points were improved when cholinesterase level was added (C‐statistics, from 0.601 to 0.705;
P
=0.0408).

Conclusions

Cholinesterase
was a useful prognostic marker for prediction of adverse outcome in patients with heart failure with preserved ejection fraction/acute decompensated heart failure.
Anodal High-definition Transcranial Direct Current Stimulation over the Posterior Parietal Cortex Modulates Approximate Mental Arithmetic
Authors: Hartmann Matthias , Singer Sarah , Savic Branislav , Müri René M. , Mast Fred W.
Published: December 2019

The representation and processing of numerosity is a crucial cognitive capacity. Converging evidence points to the posterior parietal cortex (PPC) as primary “number” region. However, the exact role of the left and right PPC for different types of numerical and arithmetic tasks remains controversial. In this study, we used high-definition transcranial direct current stimulation (HD-tDCS) to further investigate the causal involvement of the PPC during approximative, nonsymbolic mental arithmetic. Eighteen healthy participants received three sessions of anodal HD-tDCS at 1-week intervals in counterbalanced order: left PPC, right PPC, and sham stimulation. Results showed an improved performance during online parietal HD-tDCS (vs. sham) for subtraction problems. Specifically, the general tendency to underestimate the results of subtraction problems (i.e., the “operational momentum effect”) was reduced during online parietal HD-tDCS. There was no difference between left and right stimulation. This study thus provides new evidence for a causal involvement of the left and right PPC for approximate nonsymbolic arithmetic and advances the promising use of noninvasive brain stimulation in increasing cognitive functions.
Steadily Attached to His Majesty? Varieties of Loyalism in Revolutionary New York
Authors: H. Jones Sophie
Published: December 2019

This paper responds to most recent works on the complexity of loyalist identities during the American Revolution. It forms a close reading of over 400 claims submitted by self-identified loyalist claimants from the former colony of New York to the Loyalist Claims Commission. Through a case study of three New York counties (the city and county of New York, Albany County and Tryon County), the paper demonstrates that the loyalist experience differed greatly between the three distinct geographic regions; different counties entered the war at different stages, while demonstrations of loyalism and the range of services provided by loyalists to advance the British cause varied considerably. The paper also outlines (and justifies the use of) the potential of three broad categories by which to analyze loyalist claimants: namely, ‘active’, ‘reluctant’ and ‘passive’. Ultimately, this paper concludes that the varying nature of loyalism was largely the product of local contextual circumstance.
Beyond Settler Colonialism
Authors: Prior Charles
Published: December 2019

This paper offers a critical reflection on the appropriateness of ‘settler colonialism’ as an analytic category for understanding the political dynamics of early America. It argues that the paradigm’s focus on the elimination of the native obscures the resilience of Indian power, and the mechanisms by which that power was exercised and defended. The paper positions settler colonialism in recent treatments of the history of colonial political thought, and then presents diplomacy as a site of both sovereign formation and negotiation that enhanced the power of colonies as much as it preserved the power of Indian confederations. The final section of the paper suggests that the ‘interior’ sovereignty of Native Americans continued to shape the powers of the new republican order of states.
Narrating Sovereignty: The Covenant Chain in Intercultural Diplomacy
Authors: Hatton Heather
Published: December 2019

This article considers Haudenosaunee recitals of the history of the Covenant Chain as a powerful communicative mechanism to define and assert sovereign identity and rights in the context of intercultural diplomacy. It reflects initially on the metaphorical language used to structure these historical narratives and how it enabled the Haudenosaunee to articulate self-understandings of their sovereignty. Contending that the narrative’s main power stemmed from its application in specific diplomatic contexts, the article then examines three instances when the Haudenosaunee recounted the entire history of the Chain during mid-eighteenth century treaty councils with the British. It explores the reasons underpinning the narrative’s use on these occasions and its overall implications. Finally, the article discusses the adoption of the narrative by one British diplomat, Sir William Johnson, considering his motivations for using the Covenant Chain and its intended effects.
Honest Scales
Authors: Kenny William
Published: December 2019

The decision in Alberta and Hutterite Brethren of Wilson Colony refocused attention on the role played by the final limb of the Oakes test when considering the proportionality of the limitation of a Charter right. This article seeks to re-examine this decision and challenge the structural discrimination it created by requiring minorities whose belief gives a religious value to a facially utilitarian practice which may not be apparent when considered from a secular perspective. In particular it examines the potential benefits of allowing a liberal perspective of group rights to inform the weight courts’ give to the detriment faced by a community and argues that this revised approach to balancing would result in outcomes more reflective of the values codified in the Charter.
When Black Female Presence in Beauvoir’s L’ Invitée Is (Seemingly) Not Invited to The Second Sex
Authors: Jones Janine
Published: December 2019

This paper argues that in L’ Invitée and in The Second Sex, Black presence, especially “Black female presence,” functions as the fundamental field against which White female consciousnesses are able to make sense of themselves as subjects and objects in their relationships with Others, including when the Others are themselves. Considering The Second Sex and L’ Invitée as together providing Beauvoir’s understanding of gender allows for an account of how “Black female presence”—in the form of the White imaginary’s idea of Black women—is present and operational in The Second Sex.
“The Past Is an Appeal”
Authors: Altman Meryl
Published: December 2019

As the International Simone de Beauvoir Society celebrates the relaunch of Simone de Beauvoir Studies, the author looks back with gratitude to longtime editor Yolanda Patterson and reviews what the journal’s thirty-year history has to tell us about Beauvoir scholarship, past, present, and future. Topics discussed include the history of the Society; engagements with Beauvoir from the perspectives of literary criticism, philosophy, and the social sciences; and controversies over Beauvoir’s character, her response to the Occupation, her relationship to Sartre, and her legacy for feminism.
Il “nome” nel Maqṣad di al-Ġazālī: Note di grammatica araba e logica aristotelica sulla tradizione dei commenti al Peri Hermeneias
Authors: la Martire Corrado
Published: December 2019

In his famous treatise “The ultimate scope in the explanation of the meanings of God’s beautiful names” (al-Maqṣad al-asnā fī šarḥ maʿānī asmāʾ Allāh al-ḥusnā), al-Ġazālī (d. 1111) presents a broad introduction on the concept of “name”. As is well known, the topic of the names of God represents an important moment in Muslim theology and mysticism. The argument uses philosophical concepts, starting from the discussion about the relationship between name and named subject. These concepts can be traced directly to the tradition of the commentaries on Aristotle’s De interpretatione (Περὶ ἑρµηνείας), which allowed al-Ġazālī to provide a logic-semantic solution to the identity between name and named subject, and subtends his indebtedness to the Peripatetic tradition.
Four new species of Goloboffia (Mygalomorphae: Migidae) from Chile
Authors: FERRETTI NELSON E. , RÍOS-TAMAYO DUNIESKY , GOLOBOFF PABLO A.
Published: December 2019

The spider family Migidae Simon, 1889 is represented in Chile by three genera: Calathotarsus Simon, 1903, Mallecomigas Goloboff & Platnick, 1987 and Goloboffia Griswold & Ledford, 2001. In the present study, four new species of Goloboffia from Chile are described, increasing the known diversity and geographic distribution of the genus. Goloboffia megadeth sp. nov. and G. pachelbeli sp. nov., are described based on males and females; Goloboffia griswoldi sp. nov. and G. biberi sp. nov. are known only by females.
Exosomes Based Geldanamycin Delivery to Cancer Cells with Increased Therapeutic Efficacy
Authors: Dhayapulay Akhila , Kanapathipillai Mathumai
Published: December 2019

HSP90 has been shown to promote oncogenic functions and cell proliferation during tumor progression. Geldanamycin is a potent inhibitor of HSP90, however therapeutic effects are often hampered due to its extreme hydrophobicity and systemic toxicity. Hence targeted delivery strategies
are needed to overcome these limitations and to improve the efficacy of the drug. Here we utilize a novel geldanamycin delivery approach by utilizing exosomes. For the study, exosomes were extracted from cancer cells, loaded with geldanamycin, and the therapeutic effects were tested in cancer
cells. Results show that cancer cells derived exosomes exhibit specificity to cancer cells. Further exosomes loaded geldanamycin show several fold increase in efficacy compared to free geldanamycin. Findings indicate exosomal formulations could be used for extremely hydrophobic HSP90 inhibitor
geldanamycin delivery for inhibiting cancer cell proliferation.
Systematic Intracellular Biocompatibility Assessments of Superparamagnetic Iron Oxide Nanoparticles in Human Umbilical Cord Mesenchyme Stem Cells in Testifying Its Reusability for Inner Cell Tracking by MRI
Authors: Xie Yuanyuan , Liu Wei , Zhang Bing , Wang Bin , Wang Liudi , Liu Shuo , Chen Bo , Mai Xiaoli , Zang Fengchao
Published: December 2019

Until now, there is no effective method for tracking transplanted stem cells in human. Ruicun (RC) is a new ultra-small SPIONs agent that has been approved by China Food and Drug Administration for iron supplementation but not as a stem cell tracer in clinic. In this study, we demonstrated
magnetic resonance imaging-based tracking of RC-labeled human umbilical cord derived mesenchymal stem cells (MSCs) transplanted to locally injured site of rat spinal cords. We then comprehensively evaluated the safety and quality of the RC-labeled MSCs under good manufacturing practicecompliant
conditions, to investigate the feasibility of SPIONs for inner tracking in stem cell-based therapy (SCT). Our results showed that RC labeling at appropriate dose (200 μg/mL) did not have evident impacts on characteristics of MSCs in vitro, demonstrating safety, non-carcinogenesis,
and non-tissue inflammation in vivo. The systematic assessments of intracellular biocompatibility indicated that the RC labeled MSCs met with mandatory requirements and standards for law-regulation systems regarding SCT, facilitating translation of cell-tracking technologies to clinical
trials.
Biocompatible and Biodegradable 3D Double-Network Fibrous Scaffold for Excellent Cell Growth
Authors: Li Zhanrong , Chu Dandan , Chen Genxin , Shi Liuqi , Jin Lin , Zhang Xingcai , Li Jingguo
Published: December 2019

Fibrous scaffold could provide extracellular matrix (ECM) like structure and desired network for cell growth; however, the mechanical performance of this type uni-structured fibrous scaffold cannot meet the requirement of tissue formation. Therefore, new strategies are needed for form
mechanical strength enhancement. In this study, we developed three dimensional double-network structured fibrous scaffold (3D DN-Fs) using self-assembly technology combined with electrospinning technology. Our 3D DN-Fs consists of two types of skeletons: the finer silk nanofibers which can
mimic biocompatible ECM structure; and the larger skeletal fibrous layers can greatly improve the mechanical strength and cellular loading ability, and provide good nutrition and excreta delivery system for cell growth. Therefore, our 3D DN-Fs displayed excellent mechanical performance (more
than 50% increment), biocompatibility, biodegradability, and a desirable microenvironment for cell growth. More importantly, cultured cells exhibited excellent viability and 3D growth. Our novel strategy greatly enhances the potential application of fibrous scaffold in the biomedical area,
such as 3D cell culture and tissue engineering.
A Nanobody Against Cytotoxic T-Lymphocyte Associated Antigen-4 Increases the Anti-Tumor Effects of Specific CD8+ T Cells
Authors: Tang Zhuoran , Mo Fengzhen , Liu Aiqun , Duan Siliang , Yang Xiaomei , Liang Liu , Hou Xiaoqiong , Yin Shihua , Jiang Xiaobing , Vasylieva Natalia , Dong Jiexian , Barnych Bogdan , Hammock Bruce D. , Lu Xiaoling
Published: December 2019

Adoptive cell-based immunotherapy typically utilizes cytotoxic T lymphocytes (CTLs), expanding these cells ex vivo. Such expansion is traditionally accomplished through the use of autologous APCs that are capable of interactions with T cells. However, incidental inhibitory program
such as CTLA-4 pathway can impair T cell proliferation. We therefore designed a nanobody which is specific for CTLA-4 (CTLA-4 Nb 16), and we then used this molecule to assess its ability to disrupt CTLA-4 signaling and thereby overcome negative costimulation of T cells. With CTLA-4 Nb16 stimulation,
dendritic cell/hepatocellular carcinoma fusion cells (DC/HepG2-FCs) enhanced autologous CD8+ T cell proliferation and production of IFN-γ in vitro, thereby leading to enhanced killing of tumor cells. Using this approach in the context of adoptive CD8+
immunotherapy led to a marked suppression of tumor growth in murine NOD/SCID hepatocarcinoma or breast cancer xenograft models. We also observed significantly increased tumor cell apoptosis, and corresponding increases in murine survival. These findings thus demonstrate that in response to
nanobody stimulation, DC/tumor cells-FC-induced specific CTLs exhibit superior anti-tumor efficacy, making this a potentially valuable means of achieving better adoptive immunotherapy outcomes in cancer patients.
Specimen Size and Shape Effects on the Concrete Properties, Thermal Conductivity and Heat Generation from Hydration for Different Concrete Types
Authors: Qasim Ola Adel
Published: December 2019

The environmental impact, manufacture and the application of concrete have many influences, some of which are influential and complex. Construction engineers are looking for modern ideas and methods that make the building more efficient in terms of functionality, cost, high strength,
reduced overloads and increased efficiency of unlimited geometric shapes. The main factor in the improvement and development of concrete structures rely on the engineering characteristics of the substances. The developments in the construction materials, mix proportions, dimensions, mixing,
and conditions (temperature) used to enhance the concrete technology, have important impacts on characteristics of concrete strength and heat development manner. The heat generation from concrete reveals the components of concrete materials and mix balances as well as the innovations in structure
and environmental circumstances. This research presented an experimental investigation of the significance of the specimen’s shape and the size of the concrete properties durability, thermal conductivity and heat generation. Cylinders, prisms, and cubes of different sizes and shapes
will be used. This research concluded that the effect of molds shape and size decreased when the (strength in compression, splitting tensile strength, flexural strength, and concrete density) increasing, that’s mean for ultra-high-strength concrete the difference is much smaller. The
concrete hydration due to heat increases with increasing of the concrete strength and size, and the difference in heat transfer with the increasing of specimen’s size decreasing with increasing of concrete size. It is completely identified that the deformation and intensity of reinforced
concrete beams depend on the size of the beam. Effect of concrete types (normal 26 MPa, high 46 MPa, and ultra-high-strength concrete 61 MPa) on the design of reinforced concrete beam was studied with three different depth (170, 155 and 150 mm). Results revealed that high strength and ultra-high-strength
concrete was able to substitute for the reduction in beams size with the same strength. For concrete that is high or ultra-high-strength a reduction in the beam depth of about (8.82%) and (11.76%) compared to the normal concrete beam where achieved.
Boosted Random Forest Learning Based Convolution Neural Network Model for Face Recognition System
Authors: Gupta Sheifali , Jain Pooja , Gupta Deepali , Chauhan Harsha
Published: December 2019

Convolution Neural Network (CNN) accommodates high dimension features and large amount of data with high computation. In this paper, a CNN model for face recognition system that is based upon random forest learning approach is presented. It extracts the convolution neural network based
linear and non-linear features of images. Random forest learns the linear and nonlinear features with different number of trees. The random forest learning is used with adaptive boosting algorithm for enhancing the recognition accuracy. It selects effective tree by boosting approach using
adaptive threshold at testing time. For performance evaluation, the proposed boosted random forest based CNN model is compared with the existing model of soft-max learner based CNN model. The YALE dataset is used that contains the images of 38 persons, having 64 images for each person. The
proposed approach achieves significant accuracy of 99.7%.
Offline Handwritten Gurumukhi Character Recognition System Using Convolution Neural Network
Authors: Gupta Sheifali , Jindal Udit , Gupta Deepali , Gupta Rupesh
Published: December 2019

A lot of literature is available on the recognition of handwriting on scripts other than Indians, but the number of articles related to Indian scripts recognition such as Gurumukhi are much less. Gurumukhi is a religion-specific language that ranks 14th frequently spoken language in
all languages of the world. In Gurumukhi script, some characters are alike to each other which makes recognition task very difficult. Therefore this article presents a novel approach for Gurumukhi character. This article lays emphasis on convolutional neural networks (CNN), which intend to
obtain the features of given data samples and then its mapping is being performed to the right observation. In this approach, a dataset has been prepared for 10 Gurumukhi characters. The proposed methodology obtains a recognition accuracy of 99.34% on Gurumukhi characters images without making
use of any post-processing method.
An Area and Energy Efficient RAM Cell Design in Quantum Dot Cellular Automata
Authors: Sandhu Amanpreet , Gupta Sheifali
Published: December 2019

The Conventional Complementary Metal oxide semiconductor (CMOS) technology has been revolutionized from the past few decades. However, the CMOS circuit faces serious constraints like short channel effects, quantum effects, doping fluctuations at the nanoscale which limits them to further
scaling down at nano meter range. Among various existing nanotechnologies, Quantum dot Cellular Automata (QCA) provides new solution at nanocircuit design. The technical advancement of the paper lies in designing a high performance RAM cell with less QCA cells, less occupational area and lower
power dissipation characteristics. The design occupies 12.5% lower area, 16.6% lower input to output delay, and dissipates 18.26% lesser energy than the designs in the literature. The proposed RAMcell is robust due to lesser noise variations. Also it has less fabrication cost due to absence
of rotated cells.
Stress Detection Using Machine Learning Classifiers in Internet of Things Environment
Authors: Sharma Richa , Rani Shalli , Gupta Deepali
Published: December 2019

Over the years, Recommender systems have emerged as a means to provide relevant content to the users, be it in the field of entertainment, social-network, health, education, travel, food or tourism. Further,with the expeditious development of Big Data and Internet of Things (IoT), technology
has successfully associated with our everyday life activities with smart healthcare being one. The global acceptance towards smart watches, wearable devices or wearable biosensors have paved the way for the evolution of novel applications for personalized eHealth and mHealth technologies.
The data gathered by wearables can further be interpreted using Machine learning algorithms and shared with healthcare experts to provide suitable recommendations. In this work, we study the role of recommender systems in IoT and Cloud and vice-versa. Further, we have analyzed the performance
of different machine learning techniques on SWELL dataset. Based on the results, it is observed that 2 Class Neural network performs the best with 98% accuracy.
Political Sentiment Analysis on Indian Perspective Using Twitter Data
Authors: Yadav Dharminder , Maheshwari Himani , Chandra Umesh
Published: December 2019

This paper aims to analyse the opinion of Indian people on the bases of tweets about the supreme leaders of party 1 (present government of Indian) and president of the second-largest party or leader of the opposition party is party 2. Researchers used Twitter API using R to get the
tweets. R is a language used for data analysis, data mining, sentiment analysis, and opinion mining. In this paper corpus-based and dictionary-based methods were used to explore the tweets. This paper tried to show the sentiments of Twitter users towards leader of party 1 and leader of party
2 individually and classified the same as positive, negative and neutral.
Design of Digital Video Watermarking Technique Based on Motion Frames
Authors: Purnima  , Ahuja Rakesh
Published: December 2019

The availability of high internet bandwidth instantaneously transfer the digital video multimedia object between two or work workstations. Additionally, the advent of digital technology can be mistreating by malicious user to replicate multiple identical copies of the original video
illegally. These capabilities introduce the issue of developing the methods for protecting the copyright of video multimedia objects. The proposed technique suggested detecting the motion part of the video by applying heuristic method of histogram difference between two consecutive frames.
Then powerful transformations, Singular Value Decomposition (SVD), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are used to insert the different segment of the scrambled watermarks into different motion frames of the video. The experimental results show that the scheme
is robust to unintentional and intentional video specific attacks which considered being frequently occurring attacks. The proposed algorithm has been contrasted with an existing DWT, DCT or hybrid-based approaches and is found to exhibit better robustness.
Issues and Concerns in Security of Cloud Environment in Internet of Things
Authors: Anand Sakshi , Sharma Avinash
Published: December 2019

Internet of Things (IoT) is a permeative affair that is gaining heights with every passing day thus changing the way society has been living till now. Living in an era where every “thing” will be connected to the Internet is no more a dream. Now we can see people using IoT
on daily basis like in the field of education, agriculture, transportation, healthcare, science and many more. Ranging from smart watches to automated machines in industries people have started using IoT for both personal and commercial purposes. With the talk of linking devices to the Internet
comes the concept of Cloud. Before IoT was revolutionized, the main purpose of Cloud was to act upon relentless task involving factors like scalability, elasticity, adaptability and multitenancy. But as Internet of Things started gaining heights, there was a need to fulfill the demand of responding
and managing issues and outcomes on the go, thus enhancing the features of Cloud making it omnipresent, nimble and flexible on demand. Now remotely tasks such as configuring, reviewing, updating, accessing the condition, extracting data etc. on IoT devices can be easily performed. But this
added ease from the IoT Cloud exposed the IoT devices to various risks. In this paper we will be discussing different security issues that arise in IoT devices if the IoT Cloud gets compromised.
A Framework for Assessing Security Strength of Cloud Computing Service
Authors: Goyal Mani , Sharma Avinash
Published: December 2019

Cloud computing is mentioned to evolve dynamically and cloud transformation is getting easier all the time. Different cloud aspects are emerging in an efficient manner and have the potential to transform the traditional way of computing. With the advent of data sharing in cloud computing,
the demand for outsourcing data has rapidly increased in the last decade. However, several security and privacy challenges exist impeding the acceptance of cloud computing. A highly secure system is required to guard an organizational entity, its resources, and assets. In this article, we
propose and implement a novel architecture, the first of its kind, providing an enhanced level of security for outsourcing data in a cloud computing environment consisting of multiple independent cloud providers. The framework consists of dual encryption combining Homomorphic encryption at
the client end and Blowfish cryptographic technique at the server side for authorization. The diverse security issues associated with information integrity, security, confidentiality, and authenticationmust be addressed. Simulations and analysis were performed on an Oracle virtual machine
Virtual-Box and a Fog environment on Ubuntu 12.04 platform. Extensive safety measures and performance analysis considering the Encrypted file size and Encryption time demonstrate that our projected proposal is vastly proficient and satisfies the requirements for secure data sharing.
Fast Network Path Restoration Through Modified Finite State Machine Model in Border Gateway Protocol
Authors: Baggan Vidhu , Prasad Devendra , Kaur Prabhjot
Published: December 2019

The interminable Internet Connectivity is imperative for the present style of living and the swelling size of network traffic has kindled challenges for establishing a no jitter network. The twists of Routing Protocols and underlying mechanisms were undercover and need to be explored
enough. In this paper, we review various dimensions of existing Network Path Restoration mechanisms and proposed a modification in the connection establishment process of Exterior Routing Protocol for quick network path restoration. The de-facto Routing Protocol for inter-autonomous systems
is the Border Gateway Routing Protocol (BGP). The connection establishment process of BGP must be modified for the quick recovery from a link failure in a network. The need for TCP/IP, 3 ways handshake process during connection re-establishment in BGP must be mitigated. The goal of this research
paper is to design a network, for the modification of the connection establishment process of BGP.
Hybrid of Cuckoo Search Algorithm with Lévy Flight and Neural Network for Crude Oil Prices Prediction
Authors: Gital Abdussalam Ya’u , Hamada Mohamed , Haruna Khalid , Hassan Mohammed , Shittu Fatima , Ilu Saratu Yusuf , Khan Abdullah , Adamu Iliya Musa , Muhammad Aliyu , Chiroma Haruna
Published: December 2019

Accurate prediction of crude oil price can successfully be used to deviate from the negative impact of the crude oil price hike. Limitations of previous studies prompt the proposal of an alternative approach for the hybridization of Cuckoo Search Algorithm with lévy flight and
Back-propagation neural network (CSBP) for the estimation of crude oil price to enhance convergence speed accuracy. To evaluate the effectiveness of the proposed CSBP, we used ABC to train BP neural network (ABCNN) and Levenberg-Marquardt neural network (ABCLM) to develop an approach for crude
oil price prediction. The outcomes of simulated comparative indicate that the proposed CSBP outperforms the ABCLM and ABCNN in both accuracy and convergence speed. Analysis of variance including post hoc multiple comparative test shows that the performance of the proposed CSBP is statistically
significant than the comparison algorithms. The negative side of the crude oil prices in the global market can be defeated with proper planning based on the crude oil prices predicted by the CSBP. The CSBP proposed in this paper could provide a new strategy for risk managers and analysts to
create an efficient risk management framework to formulate policies related to risk issues in the global crude oil market.
[Withdrawn Article]: Vibration Model Experiment and Vibration Time Domain Analysis of Three-Floating Wind Power Platform Tower
Authors: Wei Yu , Li Jun-Lai , Xie Yong-He , Yang Hai-Song
Published: December 2019

This article was withdrawn by the publisher in January 2020.
Mdm2 Promotes Odontoblast-like Differentiation by Ubiquitinating Dlx3 and p53
Authors: Zheng H. , Yang G. , Fu J. , Chen Z. , Yuan G.
Published: December 2019

Dentin is an important structural component of the tooth. Odontoblast differentiation is an essential biological process that guarantees normal dentin formation, which is precisely regulated by various proteins. Murine double minute 2 (Mdm2) is an E3 ubiquitin ligase, and it plays a pivotal role in the differentiation of different cell types, such as osteoblasts and myoblasts. However, whether Mdm2 plays a role in odontoblast differentiation remains unknown. Here, we investigated the spatiotemporal expression of Mdm2 by immunostaining and found that Mdm2 was highly expressed in the odontoblasts and slightly in the dental papilla cells of mouse incisors and molars. Gene knockdown and overexpression experiments verified that Mdm2 promoted the odontoblast-like differentiation of mouse dental papilla cells (mDPCs). Intranuclear colocalization and physical interaction between Mdm2 and distal-less 3 (Dlx3), a transcription factor important for odontoblast differentiation, was found during the odontoblast-like differentiation of mDPCs by double immunofluorescence and immunoprecipitation. Mdm2 was proved to monoubiquitinate Dlx3, which enhanced the expression of Dlx3 target gene Dspp. In addition, p53, the canonical substrate of Mdm2, was validated to be also ubiquitinated but degraded by Mdm2 during the odontoblast-like differentiation of mDPCs. Gene knockdown experiments confirmed that p53 inhibited the odontoblast-like differentiation of mDPCs. p53 and Mdm2 double knockdown partially rescued the reduced odontoblast-like differentiation by knockdown of Mdm2 alone. Taken together, our study revealed that Mdm2 promoted the odontoblast-like differentiation of mDPCs by ubiquitinating both Dlx3 and p53. On one hand, the monoubiquitination of Dlx3 by Mdm2 led to upregulation of Dspp, which is a marker of the odontoblast differentiation. On the other hand, ubiquitination of p53 by Mdm2 resulted in its degradation, which eliminated the inhibitory effect of p53 on the odontoblast-like differentiation of mDPCs.
Online monitoring scheme using principal component analysis through Kullback-Leibler divergence analysis technique for fault detection
Authors: Bounoua Wahiba , Benkara Amina B , Kouadri Abdelmalek , Bakdi Azzeddine
Published: December 2019

Principal component analysis (PCA) is a common tool in the literature and widely used for process monitoring and fault detection. Traditional PCA is associated with the two well-known control charts, the Hotelling’s T2 and the squared prediction error (SPE), as monitoring statistics. This paper develops the use of new measures based on a distribution dissimilarity technique named Kullback-Leibler divergence (KLD) through PCA by measuring the difference between online estimated and offline reference density functions. For processes with PCA scores following a multivariate Gaussian distribution, KLD is computed on both principal and residual subspaces defined by PCA in a moving window to extract the local disparity information. The potentials of the proposed algorithm are afterwards demonstrated through an application on two well-known processes in chemical industries; the Tennessee Eastman process as a reference benchmark and three tank system as an experimental validation. The monitoring performance was compared to recent results from other multivariate statistical process monitoring (MSPM) techniques. The proposed method showed superior robustness and effectiveness recording the lowest average missed detection rate and false alarm rates in process fault detection.
Identity work in entrepreneurship education: Activating, scripting and resisting the entrepreneurial self
Authors: Frederiksen Signe Hedeboe , Berglund Karin
Published: December 2019

Entrepreneurship education (EE) theory and practice show increasing interest in the concept of identity work as integral to entrepreneurial learning. EE offers various approaches to guiding students towards entrepreneurial identities, but critics note that these meet neoliberal manifestations of the entrepreneurial self, leaving little room for alternative identities to be cultivated in EE. Concerned with this critique, we aim to contribute to the EE literature through a detailed investigation of the identity work practices enacted in a case of EE, which explicitly seeks to facilitate the entrepreneurial identity construction of students. Through an in-depth analysis of teacher–student interactions, we identify three practices: setting new rules to activate the entrepreneurial self, playing by the rules by figuring the script and bending the rules protecting the self. Our analysis highlights the significance of resistance and notions of authenticity, which leads us to rethink the meaning and conditions of entrepreneurial identity work in EE.
Readiness for delivering early palliative care: A survey of primary care and specialised physicians
Authors: Sorensen Anna , Le Lisa W , Swami Nadia , Hannon Breffni , Krzyzanowska Monika K , Wentlandt Kirsten , Rodin Gary , Zimmermann Camilla
Published: December 2019

Background:

Evidence supporting early palliative care is based on trials of specialised palliative care, but a more sustainable model might involve mainly primary providers.

Aim:

The aim of this study was to compare the characteristics of physicians providing primary and specialised palliative care, their attitudes towards early palliative care and their perception of having sufficient resources for its provision.

Design:

Survey distributed by mail and e-mail. Specialised providers were defined as both receiving palliative care referrals from other physicians and not providing palliative care only for their own patients.

Setting/participants:

A total of 531 physicians providing palliative care in Canada (71% participation) participated in the study.

Results:

Of the participants, 257 (48.4%) provided specialised and 274 (51.6%) primary care. Specialists were more likely to have palliative care training (71.8% vs 35.2%), work in urban areas (94.1% vs 75.6%), academic centres (47.8% vs 26.0%) and on teams (82.4% vs 16.8%), and to provide mainly cancer care (84.4% vs 65.1%) (all p < 0.001). Despite strongly favouring early palliative care, only half in each group agreed they had resources to deliver it; agreement was stronger among family physicians, those working on teams and those with greater availability of community and psychosocial support. Primary providers were more likely to agree that renaming the specialty ‘supportive care’ would increase patient comfort with early palliative care referral (47.4% vs 35.5%, p < 0.001).

Conclusion:

Despite strongly favouring the concept, both specialists and primary providers lack resources to deliver early palliative care; its provision may be facilitated by team-based care with appropriate support. Opinions differ regarding the value of renaming palliative care.
Comparison of laparoscopic surgery versus traditional laparotomy for the treatment of emergency patients
Authors: Cui Ning , Liu Jun , Tan Haiyan
Published: December 2019

Objective

To investigate the clinical efficacy of laparoscopic gastrointestinal emergency surgery and postoperative complications.

Methods

Data for 604 patients undergoing emergency gastrointestinal surgery between January 2013 and December 2018 were analyzed retrospectively. Treatment efficacy and postoperative complications were compared between 300 patients (control group) undergoing traditional laparotomy and 304 patients (observation group) undergoing laparoscopic surgery.

Results

Clinical features were significantly better in the observation group than in the control group, including duration of surgery (59.12 ± 10.31 minutes vs. 70.34 ± 12.83 minutes), intraoperative blood loss (41.21 ± 10.45 mL vs. 61.38 ± 9.97 mL), postoperative pain score (1.25 ± 0.25 points. vs. 5.13 ± 0.43 points), length of hospital stay (5.13 ± 0.24 days vs. 7.05 ± 0.13 days), and time to free activity (13 ± 2.96 hours vs. 22 ± 3.02 hours). The total complication incidence in the observation group was 3.9%, compared with 16% in the control group (16%). No significant differences in direct medical costs were recorded between the observation and control groups.

Conclusions

For patients undergoing emergency gastrointestinal surgery, laparoscopic surgery resulted in better clinical outcomes than traditional laparotomy without incurring additional costs. The potential clinical benefits of emergency laparoscopic gastrointestinal surgery warrant further study.
Do Global Ability Composites Differentially Predict Academic Achievement Across Gender?
Authors: Lewno-Dumdie Brittany , Hajovsky Daniel B.
Published: December 2019

The present study examined whether global ability influences on reading, writing, and math achievement are generalizable across gender in children and adolescents in Grades 1 to 4 ( n = 1,276), 5 to 8 ( n = 1,265), and 9 to 12 ( n = 1,042) using multiple group structural equation modeling with the standardization samples for the Woodcock–Johnson IV. Results showed a small female advantage in writing achievement across grade levels. The General Intellectual Ability (GIA) composite showed some evidence of slope bias with math achievement, and the Fluid-Crystallized (G f-G c) composite showed some evidence of slope bias with math and reading achievement. The GIA and G f-G c composite scores showed evidence of intercept bias mostly in the area of writing achievement. Findings are generally consistent with previous research showing minimal gender bias in global intelligence predicting achievement.
Transversus Abdominis Plane Block Versus Local Anesthetic in Postoperative Abdominoplasty Patients on Pain Control
Authors: Gardner Vincent , Sturm Lindsay , Pazdernik Vanessa K.
Published: December 2019

The transversus abdominis plane (TAP) block provides analgesia to the parietal peritoneum as well as the skin and muscles of the anterior abdominal wall. These same muscles and skin are operated on during an abdominoplasty. The purpose of this study was to determine whether the use of the TAP block will lead to reduced use of narcotics during the acute postoperative (PO) period (PO day 1 and PO 1 week). The study used a prospective, comparative design. Twenty women between 25 and 65 years of age who underwent abdominoplasty with core liposuction were recruited to participate in this study. All women were given the same PO pain medication Percocet 7.5/325 mg (1-2 tabs by mouth Q4-6 hours PRN pain #20) and Valium 2 mg (1-3 tabs by mouth Q4-6 hours PRN pain #40) at the time of surgery. The women were randomly divided into 2 groups: 10 women received local anesthetic infiltrated along the rectus plication and along the edges of the incision and 10 women received a TAP block (15 cc of 0.25% Bupivacaine with 8 mg of Decadron per side) placed under ultrasound guidance prior to the start of the procedure in conjunction with the local anesthetic along the rectus plication. Each woman was asked to record the number of narcotic pills consumed during the first 24 hours and during the first week. Data from the 2 groups were compared to determine the number of narcotics consumed during the acute PO period. The mean age of participants was 43.8 years (range: 31-63 years) in the treatment group and 38.8 years (range: 26-56 years) in the control group. The mean number of narcotics used during the first 24 hours in the treatment group was 1.95 (1.5) pills, with several women requiring no narcotics within the first 24 hours. The mean number of narcotics used during the first 24 hours in the control group was 4.6 (2.3) pills. The mean number of narcotics used during the first PO week in the treatment group was 7.15 (7.26) pills, with several women requiring no narcotics during the first PO week. The mean number of narcotics used during the first PO week in the control group was 18.7 (7.7), with 1 woman requiring 38 narcotic pills during that first PO week. Statistically significant differences were found between groups ( P = .006) at 24 hours PO and ( P = .01) at 1 week. Our results suggested that receiving a TAP block prior to the start of the procedure significantly reduced the number of narcotics used during the acute PO period.
Supramolecular hydrogel containing multi-generation poly(L-lysine) dendrons for sustained co-delivery of docetaxel and matrix metallopeptidase-9 short hairpin RNA plasmid
Authors: Yang Yumeng , Liu Shixin , Cai Xiang , Ma Dong , Xu Jun
Published: December 2019

To obtain an efficient drug and gene co-delivery hydrogel, methoxy polyethylene glycol was reacted with the caprolactone units to form the MPEG-PCL block copolymer through the polymerization reaction, which is amphiphilic and can load the hydrophobic drugs. Then, MPEG-PCL conjugated with a multi-generation poly(L-lysine) dendron to form the guest molecule MPEG-PCL-PLLD. After interacted with α-cyclodextrin through host–guest inclusion, the drug and gene dual carrier of supramolecular hydrogel was obtained. The physical properties of the hydrogel, such as the gelation time, the hydrogel strength, or its shear viscosity, could be modulated by the hose molecule of α-cyclodextrin content. MPEG-PCL-PLLD could co-load the drug and gene effectively. After gelation, the loaded drug and gene could be released sustainedly, and the release rate of them was also modulated by the α-cyclodextrin content. The supramolecular hydrogel showed a sustained effect on tumor cells and could induce the cell apoptosis sustainedly. Moreover, the co-delivery strategy was superior to only drug or gene used in tumor cell inhibition. This supramolecular hydrogel as the high-efficiency and sustained co-delivery system showed a promising application in a long-term tumor therapy.