bluuebunny/crossref_metadata_2025 huggingface dataset:
Hemophagocytic syndrome in a cat with immune‐mediated hemolytic anemia
Authors: Tagawa Michihito , Aoki Minori , Uemura Akiko , Yanagawa Masashi , Mineshige Takayuki , Watanabe Ken‐ichi , Kobayashi Yoshiyasu
Published: November 2022

A 10‐year‐old spayed female domestic short‐haired cat presented with depression, anorexia, and tachypnea. A complete blood count revealed moderate regenerative anemia, severe leukopenia, and mild thrombocytopenia. Antibodies against feline immunodeficiency virus (FIV) were also detected. Abdominal radiography and ultrasonography revealed severe splenomegaly. Cytologic evaluation of the spleen revealed macrophagic infiltration with hemophagocytosis. Bone marrow aspiration revealed erythroid hyperplasia with no other abnormalities. A presumptive diagnosis of hemophagocytic syndrome secondary to immune‐mediated hemolytic anemia was made based on a positive direct Coombs test result. Blood transfusion, prednisolone, and immunosuppressive treatments were performed; however, the blood abnormalities did not improve. The cat was then administered prednisolone and chlorambucil, followed by splenectomy. Leukopenia immediately recovered, and packed cell volume increased slightly. However, the blood abnormalities recurred, and the cat died. To the best of our knowledge, this is the first report of hemophagocytic syndrome secondary to immune‐mediated disease in an FIV‐positive cat.
Diversity of Siphonaria Sowerby I, 1823 (Gastropoda, Siphonariidae) in the Seychelles Bank and beyond
Authors: Ossenbrügger Holger , Neiber Marco T. , Hausdorf Bernhard
Published: November 2022

Molecular phylogenetic studies have shown that the characters of the reduced shell of the false limpets of the genus Siphonaria Sowerby I, 1823 are highly variable and often insufficient for species delimitation. The taxonomy and distribution of Siphonaria in the Indian Ocean are poorly known. We sampled Siphonaria in the Seychelles Bank to check the occurrence of recorded species using DNA sequences and to study the paths through which Siphonaria species have colonised the Seychelles Bank by reconstructing their phylogenetic relationships. Analyses of a dataset comprising 16 S rRNA gene sequences of 33 specimens from the Seychelles Bank and 300 additional Siphonaria sequences from other regions from GenBank with various methods for species delimitation resulted in 19–102 primary species hypotheses. Assemble Species by Automatic Partitioning provided a conservative estimate of the species number (42) in which several indisputable species were lumped. The results of Automatic Barcode Gap Discovery depended strongly on the assumed prior maximum intraspecific divergence, whereas the tree‐based methods Generalised Mixed Yule Coalescent and Poisson Tree Processes resulted in high overestimates. The specimens from the Seychelles Bank represent three clades, belonging to the Siphonaria ‘atra’ group, the Siphonaria ‘normalis’ group and a possibly undescribed species recorded previously only from Hainan. At least two of the three species recorded from the Seychelles Bank came from the east, i.e., from the Coral Triangle in the Indo‐Australian Archipelago, the region with the highest marine biodiversity worldwide. A major transport mechanism across the Indian Ocean was probably the South Equatorial Current.
Determinants of FDI in the Chilean Case: A FMOLS Analysis, 1970-2016
Authors: Ramirez Miguel D.
Published: November 2022

This paper examines some of the major economic and institutional determinants of foreign direct investment (FDI) flows to Chile during the 2000s. It reports econometric results which suggest that standard economic variables and major changes in the institutional-legal status of foreign capital are, in large measure, responsible for the rapid increase in FDI flows to leading sectors of the Chilean economy. Cointegration analysis in the presence of structural breaks and FMOLS estimates for the 1970-2016 period suggest that market size, the real exchange rate, the debt-service ratio, education, physical infrastructure, and the Fraser Institute’s economic freedom index are economically significant in explaining the variation in the stock of net FDI to the country. Dummy variables, designed to capture qualitative factors such as the impact of economic crises and institutional reforms, are also included and they have their anticipated signs and are statistically significant. The paper also addresses the long-term negative effects of rapidly growing profit and dividend remittances on the financing of capital formation and the Chilean balance of payments in recent years.
Thermomechanical properties of aluminum oxide thin films made by atomic layer deposition
Authors: Ylivaara Oili M. E. , Langner Andreas , Ek Satu , Malm Jari , Julin Jaakko , Laitinen Mikko , Ali Saima , Sintonen Sakari , Lipsanen Harri , Sajavaara Timo , Puurunen Riikka L.
Published: November 2022

In microelectromechanical system devices, thin films experience thermal processing at temperatures some cases exceeding the growth or deposition temperature of the film. In the case of the thin film grown by atomic layer deposition (ALD) at relatively low temperatures, post-ALD thermal processing or high device operation temperature might cause performance issues at device level or even device failure. In this work, residual stress and the role of intrinsic stress in ALD Al2O3 films grown from Me3Al and H2O, O3, or O2 (plasma ALD) were studied via post-ALD thermal processing. Thermal expansion coefficient was determined using thermal cycling and the double substrate method. For some samples, post-ALD thermal annealing was done in nitrogen at 300, 450, 700, or 900 °C. Selected samples were also studied for crystallinity, composition, and optical properties. Samples that were thermally annealed at 900 °C had increased residual stress value (1400–1600 MPa) upon formation of denser Al2O3 phase. The thermal expansion coefficient varied somewhat between Al2O3 made using different oxygen precursors. For thermal-Al2O3, intrinsic stress decreased with increasing growth temperature. ALD Al2O3 grown with plasma process had the lowest intrinsic stress. The results show that ALD Al2O3 grown at 200 and 300 °C is suitable for applications, where films are exposed to post-ALD thermal processing even at temperature of 700 °C without a major change in optical properties or residual stress.
Predicting the effects of plasma-induced damage on p–n junction leakage and its application in the characterization of defect distribution
Authors: Sato Yoshihiro , Shibata Satoshi , Nishimura Kazuko , Yamasaki Masayuki , Murakami Masashi , Urabe Keiichiro , Eriguchi Koji
Published: November 2022

Understanding the effects of defect creation during plasma exposure is crucial for designing future ultra-low leakage current devices. Created defects play a role as carrier conduction paths, leading to an increase in the p–n junction leakage current (ΔJpn). Herein, we propose a model focusing on the effects of created defects on ΔJpn in combination with technology computer-aided design simulations. Three different defect spatial distributions, ndam(x), (linear, exponential, and Gaussian) were implemented for predicting ΔJpn under various operating conditions. It was confirmed that ΔJpn is strongly dependent on ndam(x), in addition to the total number of defects and generally accepted energy levels. The prediction model was implemented to experimentally assign the profile of defects created by an emerging mechanism—lateral straggling of incident ions—under fluorocarbon-containing plasma exposure, which is commonly employed in electrical contact opening steps. Devices with various lateral p–n junction widths and contact opening areas were exposed to the plasma. The experimental results of ΔJpn revealed that the profile of defects in the lateral direction was exponential. The proposed model prediction scheme is useful for designing plasma processes and circuit layouts to realize future ultra-low leakage current devices.
A convolutional plane wave model for sound field reconstruction
Authors: Hahmann Manuel , Fernandez-Grande Efren
Published: November 2022

Spatial sound field interpolation relies on suitable models to conform to available measurements and predict the sound field in the domain of interest. A suitable model can be difficult to determine when the spatial domain of interest is large compared to the wavelength or when spherical and planar wavefronts are present or the sound field is complex, as in the near-field. To span such complex sound fields, the global reconstruction task can be partitioned into local subdomain problems. Previous studies have shown that partitioning approaches rely on sufficient measurements within each domain due to the higher number of model coefficients. This study proposes a joint analysis of all of the local subdomains while enforcing self-similarity between neighbouring partitions. More specifically, the coefficients of local plane wave representations are sought to have spatially smooth magnitudes. A convolutional model of the sound field in terms of plane wave filters is formulated and the inverse reconstruction problem is solved via the alternating direction method of multipliers. The experiments on simulated and measured sound fields suggest that the proposed method retains the flexibility of local models to conform to complex sound fields and also preserves the global structure to reconstruct from fewer measurements.
Irish Para Report Card on Physical Activity of Children and Adolescents With Disabilities
Authors: Ng Kwok , Healy Sean , O’Brien Wesley , Rodriguez Lauren , Murphy Marie , Carlin Angela
Published: November 2022

For the first time, data on children and adolescents with disabilities in Ireland are reported based on the Active Healthy Kids Global Alliance Para Report Card methodology. The most recent data from the last 10 years were used in the grading process (A+ to F), and indicators with insufficient data were graded as incomplete. Of the 10 indicators from the Global Matrix Para Report Cards, grades were assigned to Overall Physical Activity (F), Organized Sport (D), Active Transport (D−), Sedentary Behaviors (D−), Family & Peers (C), School (C−), Community & Environment (B−), and Government (B). Irish disability sport organizations were invited to assess the research-led audit and provided commentary around the final grading. The contextual discussion of the grades is presented through the lens of strengths, weaknesses, opportunities, and threats with the purpose being to provide direction for the reduction of physical activity disparities among children with disabilities.
Articular fibrocartilage-targeted therapy by microtubule stabilization
Authors: Li Jiawei , Jiang Huiming , Lv Zhongyang , Sun Ziying , Cheng Chaoqun , Tan Guihua , Wang Maochun , Liu Anlong , Sun Heng , Guo Hu , Chen Fufei , Liu Zizheng , Fei Yuxiang , Liu Yuan , Wu Rui , Xu Xingquan , Yan Wenjin , Jiang Qing , Shi Dongquan
Published: November 2022

The fibrocartilage presented on the joint surface was caused by cartilage injury or degeneration. There is still a lack of effective strategies for fibrocartilage. Here, we hypothesized that the fibrocartilage could be viewed as a raw material for the renewal of hyaline cartilage and proposed a previously unidentified strategy of cartilage regeneration, namely, “fibrocartilage hyalinization.” Cytoskeleton remodeling plays a vital role in modifying the cellular phenotype. We identified that microtubule stabilization by docetaxel repressed cartilage fibrosis and increased the hyaline cartilage extracellular matrix. We further designed a fibrocartilage-targeted negatively charged thermosensitive hydrogel for the sustained delivery of docetaxel, which promoted fibrocartilage hyalinization in the cartilage defect model. Moreover, the mechanism of fibrocartilage hyalinization by microtubule stabilization was verified as the inhibition of Sparc (secreted protein acidic and rich in cysteine). Together, our study suggested that articular fibrocartilage-targeted therapy in situ was a promising strategy for hyaline cartilage repair.
A balance of noncanonical Semaphorin signaling from the cerebrospinal fluid regulates apical cell dynamics during corticogenesis
Authors: Gerstmann Katrin , Kindbeiter Karine , Telley Ludovic , Bozon Muriel , Reynaud Florie , Théoulle Emy , Charoy Camille , Jabaudon Denis , Moret Frédéric , Castellani Valerie
Published: November 2022

During corticogenesis, dynamic regulation of apical adhesion is fundamental to generate correct numbers and cell identities. While radial glial cells (RGCs) maintain basal and apical anchors, basal progenitors and neurons detach and settle at distal positions from the apical border. Whether diffusible signals delivered from the cerebrospinal fluid (CSF) contribute to the regulation of apical adhesion dynamics remains fully unknown. Secreted class 3 Semaphorins (Semas) trigger cell responses via Plexin-Neuropilin (Nrp) membrane receptor complexes. Here, we report that unconventional Sema3-Nrp preformed complexes are delivered by the CSF from sources including the choroid plexus to Plexin-expressing RGCs via their apical endfeet. Through analysis of mutant mouse models and various ex vivo assays mimicking ventricular delivery to RGCs, we found that two different complexes, Sema3B/Nrp2 and Sema3F/Nrp1, exert dual effects on apical endfeet dynamics, nuclei positioning, and RGC progeny. This reveals unexpected balance of CSF-delivered guidance molecules during cortical development.
Nonstop mRNAs generate a ground state of mitochondrial gene expression noise
Authors: Ng Kah Ying , Lutfullahoglu Bal Guleycan , Richter Uwe , Safronov Omid , Paulin Lars , Dunn Cory D. , Paavilainen Ville O. , Richer Julie , Newman William G. , Taylor Robert W. , Battersby Brendan J.
Published: November 2022

A stop codon within the mRNA facilitates coordinated termination of protein synthesis, releasing the nascent polypeptide from the ribosome. This essential step in gene expression is impeded with transcripts lacking a stop codon, generating nonstop ribosome complexes. Here, we use deep sequencing to investigate sources of nonstop mRNAs generated from the human mitochondrial genome. We identify diverse types of nonstop mRNAs on mitochondrial ribosomes that are resistant to translation termination by canonical release factors. Failure to resolve these aberrations by the mitochondrial release factor in rescue (MTRFR) imparts a negative regulatory effect on protein synthesis that is associated with human disease. Our findings reveal a source of underlying noise in mitochondrial gene expression and the importance of responsive ribosome quality control mechanisms for cell fitness and human health.
Labor advantages drive the greater productivity of faculty at elite universities
Authors: Zhang Sam , Wapman K. Hunter , Larremore Daniel B. , Clauset Aaron
Published: November 2022

Faculty at prestigious institutions dominate scientific discourse, producing a disproportionate share of all research publications. Environmental prestige can drive such epistemic disparity, but the mechanisms by which it causes increased faculty productivity remain unknown. Here, we combine employment, publication, and federal survey data for 78,802 tenure-track faculty at 262 PhD-granting institutions in the American university system to show through multiple lines of evidence that the greater availability of funded graduate and postdoctoral labor at more prestigious institutions drives the environmental effect of prestige on productivity. In particular, greater environmental prestige leads to larger faculty-led research groups, which drive higher faculty productivity, primarily in disciplines with group collaboration norms. In contrast, productivity does not increase substantially with prestige for faculty publications without group members or for group members themselves. The disproportionate scientific productivity of elite researchers can be largely explained by their substantial labor advantage rather than inherent differences in talent.
Spatially targeted brain cancer immunotherapy with closed-loop controlled focused ultrasound and immune checkpoint blockade
Authors: Lee Hohyun , Guo Yutong , Ross James L. , Schoen Scott , Degertekin F. Levent , Arvanitis Costas
Published: November 2022

Despite the challenges in treating glioblastomas (GBMs) with immune adjuvants, increasing evidence suggests that targeting the immune cells within the tumor microenvironment (TME) can lead to improved responses. Here, we present a closed-loop controlled, microbubble-enhanced focused ultrasound (MB-FUS) system and test its abilities to safely and effectively treat GBMs using immune checkpoint blockade. The proposed system can fine-tune the exposure settings to promote MB acoustic emission–dependent expression of the proinflammatory marker ICAM-1 and delivery of anti-PD1 in a mouse model of GBM. In addition to enhanced interaction of proinflammatory macrophages within the PD1-expressing TME and significant improvement in survival (
P
 < 0.05), the combined treatment induced long-lived memory T cell formation within the brain that supported tumor rejection in rechallenge experiments. Collectively, our findings demonstrate the ability of MB-FUS to augment the therapeutic impact of immune checkpoint blockade in GBMs and reinforce the notion of spatially tumor-targeted (loco-regional) brain cancer immunotherapy.
Critical evaluation of novel applications of aquatic weed Azolla as a sustainable feedstock for deriving bioenergy and feed supplement
Authors: Arora Anju , Nandal Preeti , Chaudhary Anita
Published: November 2022

Azolla is often considered an invasive weed because of the rapid colonization on water surfaces. It is a free-floating aquatic fern, known for its N fixing potential, short doubling time, and bioremediation potential. It has several applications as green manure, N biofertilizer, cattle, chicken, and fish feed supplements because of its high protein content. It can grow on wastewater improving its quality. Azolla biomass thus produced can be utilized for energy production. It has been used for the production of biogas. Recently, its bio-oil potential has been studied. Azolla biomass has been used for biodiesel, biogas, and biohydrogen production. The exploitation of Azolla biomass as feedstock for bioenergy needs critical evaluation.
The P-V phase transition of the FRW universe
Authors: Kong Shi-Bei , Abdusattar Haximjan , Yin Yihao , Zhang Hongsheng , Hu Ya-Peng
Published: November 2022

We define thermodynamic pressure P by work density W as the conjugate quantity of thermodynamic volume V from field equation. We derive the equations of state P=P(V, T) for the Friedmann–Robertson–Walker (FRW) universe in Einstein gravity and a modified gravity respectively. We find that the equation of state from Einstein gravity shows no P-V phase transition, while the equation of state from the modified gravity does, where the critical exponents are the same as those in mean field theory.
Self-tuning inflation
Authors: Petriakova Polina , Rubin Sergey G.
Published: November 2022

We develop an inflationary model without small parameters on the basis of multidimensional f(R) gravity with a minimally coupled scalar field. The model is described by two stages of space expansion. The first one begins at energy scales about the D-dimensional Planck mass and ends with the de Sitter metric of our space and the maximally symmetric extra dimensions. In the following, the quantum fluctuations produce a wide set of inhomogeneous extra metrics in causally disconnected regions quickly generated in the de Sitter space. We find a specific extra space metric that leads to the effective Starobinsky model that fits the observational data.
Saturation spectroscopy of R(0), R(2) and P(2) lines in the (2-0) band of HD
Authors: Cozijn F. M. J. , Diouf M. L. , Ubachs W.
Published: November 2022

Lamb-dips of R(0), R(2) and P(2) rovibrational transitions in the (2-0) overtone band of the HD molecule are measured at cryogenic temperatures using the technique of NICE-OHMS spectroscopy. Resulting transition frequencies are $$214\,905\,335\,240\,(100)$$

214

905

335

240

(
100
)

kHz for R(0), $$219\,042\,856\,794\,(150)$$

219

042

856

794

(
150
)

kHz for R(2) and $$206 \,898 \,802\,150 \,(150)$$

206

898

802

150

(
150
)

kHz for P(2). Small, but systematic deviations (at 1.7$$\sigma $$
σ
level) are found from advanced ab initio calculations, supporting results from previous studies probing other lines in the (2-0) band. From a combination difference between the R(0) and P(2) lines, an accurate value for rotational-level spacing in the $$v=0$$

v
=
0

ground state is determined, of $$\Delta _{(J=2)-(J=0)}= 8\,006\,533\,168\,(26)$$

Δ

(
J
=
2
)
-
(
J
=
0
)

=
8

006

533

168

(
26
)

kHz, well in agreement with theory (at 0.6$$\sigma $$
σ
). Based on the observation of the dispersive line shape of R(0), the status of proposed models for the elusive line shapes of saturated transitions in HD is discussed.
An Example of Solution for Data Preparation Required for Some Purposes of People Identification or Re-Identification
Authors: Ramakić Adnan , Bundalo Zlatko , Bundalo Dušanka
Published: November 2022

In this paper, we present an example of solution for obtaining some key elements required for people identification or re-identification. During an identification or re-identification process, different elements are in use. Depending on the method to be implemented, said elements can be RGB (red, green, blue) images, grayscale images, different types of features extracted from them, etc. In this work, we focused on obtaining certain elements suitable for use in the gait recognition methods or re-identification methods that use the obtained features from the images with people in gait. The presented solution can be useful in many applications of identification or re-identification, since key elements required by the implemented methods can be obtained in a simple way. Also, different methods for identification or re-identification can be added in the presented solution. Based on this, we have developed a simple system for people re-identification. An experiment was conducted on our own dataset containing 13 people in gait. The results obtained were over 90% for 4 out of 5 types of features used in the presented re-identification system. It is important to emphasize that more reliable results can be obtained by combining different types of features.
Linear resolutions of t-spread lexsegment ideals via Betti splittings
Authors: Crupi Marilena , Ficarra Antonino
Published: November 2022

Let [Formula: see text] be a polynomial ring in [Formula: see text] variables with coefficients over a field [Formula: see text]. A [Formula: see text]-spread lexsegment ideal [Formula: see text] of [Formula: see text] is a monomial ideal generated by a [Formula: see text]-spread lexsegment set. We determine all [Formula: see text]-spread lexsegment ideals with linear resolution by means of Betti splittings. As applications we provide formulas for the Betti numbers of such a class of ideals and furthermore we characterize all incompletely [Formula: see text]-spread lexsegment ideals with linear quotients.
BENCHMARKING THE INFLUENTIAL NODES IN COMPLEX NETWORKS
Authors: HUSSAIN OWAIS A. , BIN AHMAD MAAZ , ZAIDI FARAZ A.
Published: November 2022

Among diverse topics in complex network analysis, the idea of extracting a small set of nodes which can maximally influence other nodes in the network has a variety of applications, especially for e-marketing and social networking. While there is an abundance of heuristics to identify such influential nodes, the method of quantifying the influence itself, has not been investigated in the research community. Most of the classical and state-of-the-art works use Diffusion tests for influence benchmark of a particular set of nodes in the network. The underlying study challenges this method and conducts thorough experiments to show that for real-world applications, the diffusion test alone is not only insufficient, but in some cases is also an inaccurate method of benchmarking. Using eight widely adopted heuristics, 25 networks were tested using Diffusion tests and compared with resilience test, we found out that no single algorithm performs consistently on both types of tests. Thus, we conclude that a more accurate way of benchmarking a set of influential nodes is to run diffusion tests alongside resilience test, in order to label a certain technique as best performer.
Jacobi symbol cordial labeling and Jacobi symbol 3-equitable labeling of digraphs
Authors: Kasthuri K. , Karuppasamy K. , Nagarajan K.
Published: November 2022

Let [Formula: see text] be a simple digraph and a bijection [Formula: see text]. The labeling [Formula: see text] induces on arc labeling [Formula: see text] such that for any arc [Formula: see text] in [Formula: see text], [Formula: see text], where [Formula: see text] is the Jacobi symbol. Let [Formula: see text] be the number of arcs labeled with [Formula: see text]. The labeling [Formula: see text] is called a Jacobi symbol labeling if [Formula: see text] for all [Formula: see text]. Moreover, [Formula: see text] is Jacobi symbol digraph if it admits Jacobi symbol labeling. The labeling [Formula: see text] is called a Jacobi symbol cordial labeling if [Formula: see text]. Moreover, [Formula: see text] is Jacobi symbol cordial digraph if it admits Jacobi symbol cordial labeling. The labeling [Formula: see text] is called a Jacobi symbol 3-equitable labeling if [Formula: see text] for all [Formula: see text]. A digraph which admits a Jacobi symbol 3-equitable labeling is called a Jacobi symbol 3-equitable digraph. In this paper, we will find out some Jacobi symbol digraphs, Jacobi symbol cordial digraphs and Jacobi symbol 3-equitable digraphs.
Neural Machine Translation for Low-resource Languages: A Survey
Authors: Ranathunga Surangika , Lee En-Shiun Annie , Prifti Skenduli Marjana , Shekhar Ravi , Alam Mehreen , Kaur Rishemjit
Published: November 2022

Neural Machine Translation (NMT) has seen tremendous growth in the last ten years since the early 2000s and has already entered a mature phase. While considered the most widely used solution for Machine Translation, its performance on low-resource language pairs remains sub-optimal compared to the high-resource counterparts due to the unavailability of large parallel corpora. Therefore, the implementation of NMT techniques for low-resource language pairs has been receiving the spotlight recently, thus leading to substantial research on this topic. This article presents a detailed survey of research advancements in low-resource language NMT (LRL-NMT) and quantitative analysis to identify the most popular techniques. We provide guidelines to select the possible NMT technique for a given LRL data setting based on our findings. We also present a holistic view of the LRL-NMT research landscape and provide recommendations to enhance the research efforts further.
Multilingual News Feed Analysis using Intelligent Linguistic Particle Filtering Techniques
Authors: S Rakesh Kumar , Nagasubramanian Gayathri , S Muthuramalingam , Al-Turjman Fadi
Published: November 2022

Analyzing real-time news feeds and their impacts in the real world is a complex task in the social networking arena. Particularly, countries with a multilingual environment have various patterns and perceptions of news reports considering the diversity of the people. Multilingual and multimodal news analysis is an emerging trend for evaluating news source neutralities. Therefore, in this work, four new deep news particle filtering techniques were developed, including generic news analysis,
sequential importance re-sampling (SIR)
-based news particle filtering analysis,
reinforcement learning (RL)
-based multimodal news analysis, and
deep Convolution neural network (DCNN)
-based multi-news filtering approach, for news classification. Results indicate that these techniques, which primarily employ particle filtering with multilevel sampling strategies, produce 15% to 20% better performance than conventional news analysis techniques.
A Comprehensive Review of the State-of-the-Art on Security and Privacy Issues in Healthcare
Authors: López Martínez Antonio , Gil Pérez Manuel , Ruiz-Martínez Antonio
Published: November 2022

Currently, healthcare is critical environment in our society, which attracts attention to malicious activities and has caused an important number of damaging attacks. In parallel, the recent advancements in technologies, computing systems, and wireless communications are changing healthcare environment by adding different improvements and complexity to it. This article reviews the current state of the literature and provides a holistic view of cybersecurity in healthcare. With this purpose in mind, the article enumerates the main stakeholders and architecture implemented in the healthcare environment, as well as the main security issues (threats, attacks, etc.) produced in healthcare. In this context, this work maps the threats collected with a widely used knowledge-based framework, MITRE ATT&CK, building a contribution not seen so far. This article also enumerates the security mechanisms created to protect healthcare, identifying the principal research lines addressed in the literature, and listing the available public security-focused datasets used in machine-learning to provide security in the medical domain. To conclude, the research challenges that need to be addressed for future research works in this area are presented.
Resource Allocation for Heterogeneous Computing Tasks in Wirelessly Powered MEC-enabled IIOT Systems
Authors: Hu Yixiang , Deng Xiaoheng , Zhu Congxu , Chen Xuechen , Chi Laixin
Published: November 2022

Integrating wireless power transfer with mobile edge computing (MEC) has become a powerful solution for increasingly complicated and dynamic industrial Internet of Things (IIOT) systems. However, the traditional approaches overlooked the heterogeneity of the tasks and the dynamic arrival of energy in wirelessly powered MEC-enabled IIOT systems. In this article, we formulate the problem of maximizing the product of the computing rate and the task execution success rate for heterogeneous tasks. To manage energy harvesting adaptively and select appropriate computing modes, we devise an online resource allocation and computation offloading approach based on deep reinforcement learning. We decompose this approach into two stages: an offloading decision stage and a stopping decision stage. The purpose of the offloading decision stage is to select the computing mode and dynamically allocate the computation round length for each task after learning from the channel state information and the task experience. This stage allows the system to support heterogeneous computing tasks. Subsequently, in the second stage, we adaptively adjust the number of fading slots devoted to energy harvesting in each round in accordance with the status of each fading slot. Simulation results show that our proposed algorithm can better allocate resources for heterogeneous tasks and reduce the ratio of failed tasks and energy consumption when compared with several existing algorithms.
Semi-Supervised Sentiment Classification and Emotion Distribution Learning Across Domains
Authors: Chen Yufu , Rao Yanghui , Chen Shurui , Lei Zhiqi , Xie Haoran , Lau Raymond Y. K. , Yin Jian
Published: November 2022

In this study, sentiment classification and emotion distribution learning across domains are both formulated as a semi-supervised domain adaptation problem, which utilizes a small amount of labeled documents in the target domain for model training. By introducing a shared matrix that captures the stable association between document clusters and word clusters, non-negative matrix tri-factorization (NMTF) is robust to the labeled target domain data and has shown remarkable performance in cross-domain text classification. However, the existing NMTF-based models ignore the incompatible relationship of sentiment polarities and the relatedness among emotions. Besides, their applications on large-scale datasets are limited by the high computation complexity. To address these issues, we propose a semi-supervised NMTF framework for sentiment classification and emotion distribution learning across domains. Based on a many-to-many mapping between document clusters and sentiment polarities (or emotions), we first incorporate the prior information of label dependency to improve the model performance. Then, we develop a parallel algorithm based on message passing interface (MPI) to further enhance the model scalability. Extensive experiments on real-world datasets validate the effectiveness of our method.
A Comprehensive Review of Nanoparticles for Oral Delivery in Food: Biological Fate, Evaluation Models, and Gut Microbiota Influences
Authors: Xue Jingyi , Blesso Christopher , Luo Yangchao
Published: November 2022

Edible nanoparticles are being developed for the oral delivery of nutrients to improve human health and well-being. Because of the extremely demanding conditions foods experience within the gastrointestinal tract, fundamental knowledge about the biological fate of encapsulated nutrients must be constantly revised. In this review, we first provide an overview of the fundamental absorption pathways of ingested foods and then discuss the evaluation models available to test and predict the biological fate of nutrient-loaded nanoparticles. Then, owing to their importance for human health, the impacts of nanoparticles on the gut microbiota are evaluated. Lastly, the limitations of current evaluation methods are highlighted and future research directions on the study and application of edible nanoparticles for the oral delivery of bioactive food compounds are discussed.
Further Consideration of Effect of Fluoro-Carbon Chain Length on Catalytic Activity and Properties of Lead Dioxide-Based Surfactant Composites
Authors: Knysh Valentina , Shmychkova Olesia , Luk’yanenko Tatiana , Dmitrikova Larisa , Velichenko Alexander
Published: November 2022

Rate constant (k) for the lead(II) oxidation decreases from (4.06 ± 0.10) × 10−4 to (2.80 ± 0.10) × 10−4 ms−1 when 3 × 10−4 M of dopant C6F13SO3K is added to the deposition solution. The adsorption of C6F13SO3K on PbO2 is specific, which is confirmed by the shift of pH0 of the oxide to higher value. There are no visible differences when modifying lead dioxide with perfluorohexanesulfonate, the morphology of the composite is similar to the naked sample; as well as there are only slight deviations in the texture of the composites involved. It should be noted that using a long chain compound with perfluorinated hydrocarbon radical in order to achieve higher oxidation rates of organic compounds is not recommended since a perfluorinated hydrocarbon skeleton (longer than 4 carbon atoms) can block active centers taking part in water and 4-chlorophenol oxidation.
The Mechanism Regulating Film Thickness During Porous Anodic Oxide Growth on Aluminium: Transition from Homogeneously Thick Films During Soft Anodizing to Nodule Formation During Hard Anodizing
Authors: Qin Jiru , Curioni Michele
Published: November 2022

The growth of porous anodic film during sulphuric acid anodizing has been studied with the aim of investigating the mechanism resulting in uniform film thickness under conventional anodizing conditions and localized film growth under hard anodizing conditions. Based on the field-assisted flow model, it is proposed that the film comprises a rigid part, the cell walls, and a barrier layer plasticized by the combined effect of the electric field, the electrostriction stresses and the ionic migration process. Under conventional anodizing conditions, the film is uniform in thickness because the rigid part regulates the growth rate at the plasticized barrier layer by providing a mechanical connection between neighbouring pores, and hence a mechanical constraint. Vice versa, under hard anodizing conditions, cracking of the rigid part of the film due to rapid film growth rate leads to loss of the regulation mechanism provided by the mechanical constraint and hence localized film growth and formation of nodules.
Sex differences in cardiovascular risk factor responses to resistance and endurance training in younger subjects
Authors: Thomas Hannah J. , Marsh Channa E. , Lester Leanne , Maslen Barbara A. , Naylor Louise H. , Green Daniel J.
Published: November 2022

This study investigated sex differences in cardiovascular risk factors in response to different exercise training modalities. Males had a larger improvement in peak oxygen consumption following endurance training and strength following resistance training compared with females. These changes in peak oxygen consumption and strength did not translate to changes in other cardiovascular risk factors. Despite the greater magnitude of change in males, there were no sex differences in the proportion of individuals who responded to training.
Vitamin A preserves cardiac energetic gene expression in a murine model of diet-induced obesity
Authors: Naasner Lea , Froese Natali , Hofmann Winfried , Galuppo Paolo , Werlein Christopher , Shymotiuk Ivanna , Szaroszyk Malgorzata , Erschow Sergej , Amanakis Georgios , Bähre Heike , Kühnel Mark P. , Jonigk Danny D. , Geffers Robert , Seifert Roland , Ricke-Hoch Melanie , Wende Adam R. , Blaner William S. , Abel E. Dale , Bauersachs Johann , Riehle Christian
Published: November 2022

The relationship between vitamin-A status and the pathogenesis of diabetic cardiomyopathy has not been studied in detail. We assessed cardiac mitochondrial respiratory capacity, contractile function, and gene expression by RNA sequencing in a murine model of combined vitamin-A deficiency and diet-induced obesity. Our study identifies a role for vitamin A in preserving cardiac energetic gene expression that might attenuate subsequent development of mitochondrial and contractile dysfunction in diet-induced obesity.
Comparative Analysis of Urban and Rural Public Space Environment Design Based on Multimedia Information
Authors: Xu Huili , Huang Liyuan
Published: November 2022

At this stage, the most important content of rural construction includes the construction of rural public space, which is related to the environment of all rural areas, the happiness of villagers, and the inheritance and development of rural areas. Especially under the guidance of the rural revitalization strategy, the necessity of public space environment construction has become increasingly prominent, becoming an irreplaceable core content in rural construction. Therefore, we must closely focus on the development needs of rural areas at this stage, dig deep into the development of the public space environment, find corresponding design strategies, and maximize the completion of the real construction of beautiful rural areas. Rural public spaces have experienced the pain of new urbanization and rural intelligence. The most important public spaces in traditional agricultural societies, such as deep-water wells, trees, and sundecks, will slowly decline and fade. In the future, public space in rural areas must function in urban areas. Rural public spaces with complex roles and diverse types of public activities are the main orientations for the transformation of rural spaces in the future.
Altered Effective Connectivity of the Primary Motor Cortex in Transient Ischemic Attack
Authors: Hao Zeqi , Song Yulin , Shi Yuyu , Xi Hongyu , Zhang Hongqiang , Zhao Mengqi , Yu Jiahao , Huang Lina , Li Huayun
Published: November 2022

Objective. This study is aimed at exploring alteration in motor-related effective connectivity in individuals with transient ischemic attack (TIA). Methods. A total of 48 individuals with TIA and 41 age-matched and sex-matched healthy controls (HCs) were recruited for this study. The participants were scanned using MRI, and their clinical characteristics were collected. To investigate motor-related effective connectivity differences between individuals with TIA and HCs, the bilateral primary motor cortex (M1) was used as the regions of interest (ROIs) to perform a whole-brain Granger causality analysis (GCA). Furthermore, partial correlation was used to evaluate the relationship between GCA values and the clinical characteristics of individuals with TIA. Results. Compared with HCs, individuals with TIA demonstrated alterations in the effective connectivity between M1 and widely distributed brain regions involved in motor, visual, auditory, and sensory integration. In addition, GCA values were significantly correlated with high- and low-density lipoprotein cholesterols in individuals with TIA. Conclusion. This study provides important evidence for the alteration of motor-related effective connectivity in TIA, which reflects the abnormal information flow between different brain regions. This could help further elucidate the pathological mechanisms of motor impairment in individuals with TIA and provide a new perspective for future early diagnosis and intervention for TIA.
Adaptability Study of Hot Water Chemical Flooding in Offshore Heavy Oilfields
Authors: Zhang Zenghua , Jin Yi , Zhang Jian , Tang Engao , Wei Zhijie , Liang Dan , Li Peihuan
Published: November 2022

As a new heavy oil development technology, hot water chemistry flooding has great potential in offshore heavy oil fields development. In this paper, the adaptability of hot water chemical flooding was studied based on the typical model of offshore heavy oil fields. The main controlling factors affecting the hot water chemical flooding were analyzed and evaluated by single factor analysis. The technical boundary was established for offshore heavy oil fields. In addition, the hot water chemical flooding scheme was designed by a case study of a well group oilfield D. The results indicate that crude oil viscosity and well spacing have great influences on hot water chemical flooding performance. Hot water chemical flooding is favorable when the crude oil viscosity is between 300 and 1000 mPa·s and well spacing is around 200~400 m. The hot water chemical flooding scheme of the target well group results in

40.2
×

10

4

tons of incremental oil, and 6.3% of recovery factor being enhanced, which shows strong evidence that hot water chemical flooding enables great oilfield development performance.
The Role of Cognitive Science and Big Data Technology in the Design of Business Information Management Systems
Authors: Li Yangfan
Published: November 2022

With the surge in the amount of data in the internal and external environment, the collection, analysis, processing, and storage of the increasing data sources and data volume, as well as the problems of big data management, are the current situation and dilemmas of data management faced by enterprises today. Cognitive science and big data technology can provide good auxiliary support for enterprise management decision-making. This study takes the business information management of cold chain logistics enterprises as an example, aiming at the characteristics of business intelligence data in real applications, based on cognitive science and big data technology, from low-cost and high-performance storage, security management, and big data analysis. This paper is mainly through the research of big data processing theory and key technologies. Based on analyzing the logistics industry’s data access rules and characteristics, this study proposes a hot data prediction model for multilayer hybrid storage systems. It is verified that the prediction model has good accuracy, robustness, and universality. For the application scenario of multitenant distributed data access, a data transparent security management model is proposed. Simulation experiments show that this method can realize data security management when the performance loss is controlled within an acceptable range. Based on the real-time computing technology of massive data, the label optimization scheme of collaborative filtering and reinforcement learning is used to realize the logistics distribution recommendation model and to solve the accuracy and real-time problems of logistics service distribution analysis.
Theaflavin-3,3
′
-Digallate Inhibits Erastin-Induced Chondrocytes Ferroptosis via the Nrf2/GPX4 Signaling Pathway in Osteoarthritis
Authors: Xu Chao , Ni Su , Xu Nanwei , Yin Guangrong , Yu Yunyuan , Zhou Baojun , Zhao Gongyin , Wang Liangliang , Zhu Ruixia , Jiang Shijie , Wang Yuji
Published: November 2022

There is evidence that osteoarthritis (OA) is associated with ferroptosis which is a kind of lipid peroxidation-related cell death. Theaflavin-3,3

′

-digallate(TF3), a polyphenol compound extracted from black tea, possesses antioxidative and anti-inflammatory properties, but its effects on chondrocyte ferroptosis in osteoarthritis (OA) remain unclear. Our present study aims at exploring the protective role and underlying mechanisms of TF3 against erastin-induced chondrocyte ferroptosis in OA. In human primary chondrocytes treated with erastin alone or combined with different doses of TF3, cell viability was assessed by MTS. Ferroptosis-related proteins, including Gpx4, HO-1, and FTH1, were detected by western blot. The levels of lipid peroxidation and Fe2+ were determined by fluorescence staining. Meanwhile, the change of related proteins in the Nrf2/Gpx4 signaling pathway was determined by western blot. siRNA-mediated Nrf2 knockdown and the Gpx4 inhibitor RSL3 were used to explore molecular mechanisms for TF3-induced ferroptosis in OA chondrocyte. The magnetic resonance imaging (MRI), HE staining, Masson’s staining, and immunohistochemistry were used to evaluate articular cartilage damages in the rat OA model. The results showed that Gpx4 expression was markedly downregulated in the chondrocytes of OA patients. TF3 reversed erastin-induced ferroptosis of human cultured chondrocytes, lipid ROS, and Fe2+ production in mitochondria. Moreover, the expression of Gpx4, HO-1, FTH1, and Nrf2 was markedly induced by TF3 in the erastin-treated chondrocytes. The antiferroptotic effect of TF3 was related to enhance Nrf2/Gpx4 signaling pathway. Finally, TF3 inhibited OA progression by alleviating in vivo cartilage damage related to chondrocyte ferroptosis. Thus, TF3 significantly inhibits chondrocyte ferroptosis by activating the Nrf2/Gpx4 signaling pathway, suggesting that TF3 serves as a potential therapeutic supplement for OA treatment.
Effects of Curing Mode on the Bond Strength of Resin-Modified Glass Ionomer Cements
Authors: Xu Yongxiang , Li Yuan , Lin Hong
Published: November 2022

The purpose of this study was to evaluate the bond strength of resin-modified glass ionomer cements (RMGICs) with different curing mode. RelyX Luting 2(RL) and Nexus RMGI (NR) were bonded to enamel, dentin, cobalt-chromium alloy, and ceramic using light-curing and chemical-curing modes, separately. The bond strength of light curing was higher than that of chemical curing for all groups. The bond strength of RL and NR in the light-cured group was significantly higher than those in chemical curing for both enamel and cobalt-chromium alloy (P < 0.05). The most common mode of adhesive fracture was cohesive fracture. The difference of adhesive strength resulted from the difference of micromechanical interlocking of adhesive which came from the cohesive strength of RMGICs with light curing. FT-IR showed that light curing was followed by chemical curing, but the chemically cured samples could not be cured without an external light source. Thus, light curing is an essential procedure in improving bond strength when using dual-cured RMGICs in clinics.