bluuebunny/crossref_metadata_2025 huggingface dataset:
Manifestation and Sociodemographic Microdata of Brazil's Unified Health System Ombudsman
Authors: Saldanha Raphael de Freitas , Kreischer Vinicius , Gritz Raquel , Miloski Matheus , Bonifácio Carmen Lúcia Corrêa , Cardoso Carlos Leonardo Souza , Alves Ariane Camilo Pinheiro , de Sá Domício Aurélio , Junior Garibaldi Dantas Gurgel , Moreira Rafael da Silveira , Fernandez Michelle Vieira , Lima Jefferson da Costa , Pedroso Marcel
Published: January 2023

Objectives: This article presents the process of extraction and treatment of two datasets from the General Ombudsman of the Brazilian Unified Health System (OUVSUS). The resulting datasets allow the analysis of manifestation characteristics and sociodemographic profile of the citizens that performed these manifestations. Data description: The first dataset depicts the characteristics of the manifestations registered by the General Ombudsman. Each row represents an individual manifestation and contains information such as the registration date, classification, input channel, and subject, among others. The second dataset is constituted of sociodemographic information for each citizen that performed a manifestation, and characteristics such as sexual orientation, race, age, and geographic location of the citizen are presented, among others.
Collagen I is expressed by hepatocytes through activation of AIM2/ASC/caspase-1 signaling pathway
Authors: Sheng Qiongyu , Zhai Panpan , Chen Luanluan , Zhou Liyang , Ou Xueting , Situ Bing , Huang Jun , Pan Xingfei
Published: January 2023

Background
Liver fibrosis is the result of diffuse excessive deposition of extracellular matrix (ECM) in liver. Collagen is the main component of extracellular matrix. Absent in melanoma 2 (AIM2) is involved in the formation of inflammsome and plays an important role in inflammatory response. However, it is unclear whether AIM2 is involved in the pathogenesis of liver fibrosis. In the present study, we explored the role of AIM2 in the expression of collagen I.
Methods
In this study, AIM2 was used to co-culture with HepG2 cells. Cell counting kit-8 (CCK-8) was used to measure cell viability. Real time-quantitative PCR (RT-qPCR) and Western blotting were used to detect collagen I expression at mRNA or protein level, respectively. Then HepG2 cells were treated with caspase activation recruitment domain (ASC), pcDNA(+)-AIM2, small interfering RNA (siRNA) and Z-YVAD-fluoromethylketone (Z-YVAD-FMK) to explore their roles in collagen I expression, respectively.
Results
The viability of HepG2 cells could be not affected with the increased concentrations of AIM2 and Z-YVAD-FMK. The filamentous prisms and vacuoles of HepG2 cells became more obvious when the concentrations of AIM2 increased to 80ng/ml. The expression level of collagen I increased with the increased concentrations of AIM2. The expression level of collagen I could be also induced by pcDNA(+)-AIM2 vector. The expression level of collagen I could be inhibited by ASC siRNA and Z-YVAD-FMK, respectively.
Conclusion
Collagen I expression could be induced by AIM2 through ASC/caspase-1 signaling pathway. AIM2 might be involved in the pathogenesis of liver fibrosis through inducing collagen I expression.
The Distributed Antenna System and Wireless Positioning Mechanism Based on Optimized Radio-Over-Fiber technology
Authors: Ji Wei , Yun Hao , Shi XiangYuan , Yin Peng
Published: January 2023

In this paper, a radio-over-fiber distributed antenna system (ROF-DAS) and wireless positioning mechanism are proposed. The modified Medium Access Control (MAC) frame, optical switch array, ROF network based on star topology and Reflective Semiconductor Optical Amplifier (RSOA) are employed to design the system. A Sigma Delta Modulator (SDM) is employed in the system to optimize the performance of signal transmission. Furthermore, based on the structure, wireless positioning could be achieved by Time Division Multiplexing-Time Difference OF Arrival (TDM-TDOA) technology combined with Chan assisted Taylor algorithm. The improvement of signal transmission quality using SDM is performed by Q Factor, and a comparison of positioning accuracy is performed in terms of the antennas amount using the positioning algorithm.
Isolated unilateral brachial plexus injury following carbon monoxide intoxication: a case report
Authors: liu Shu , Sun Hou-chao , Yang Xu , Cai Zhi-You
Published: January 2023

Background
CO is an odorless, colorless gas that often still undetectable until exposure results in coma or death. Carbon monoxide (CO) intoxication is a common fatal poisoning worldwide. The toxic effects of CO lead to tissue hypoxia and produce systemic and neurological complications. Besides, some severe neurological manifestations and delayed sequelae may occur after CO intoxication. However, peripheral neuropathy following CO poisoning is relatively rare that usually occurs in young people. Beforehand, only one case reported unilateralplexopathy following CO poisoning, which combined with rhabdomyolysis and cognitive dysfunction.
Case presentation
A 31-year-old young man slept in his private car with closed doors and windows. His wife discovered him in about 7 hours when he was in an unconscious state. He was diagnosed with acute carbon monoxide poisoning. After about 12 hours in a coma, he returned to an alert state without conscious disorder. However, he woke up with left upper arm weakness associated with limitation of movement of the left upper limb. The electrophysiological conclusion was left incomplete total brachial plexopathy.
Conclusion
Ischemia of spinal cordcaused by CO intoxication may be a key mechanism in this case. Hyperbaric oxygen therapy as soon as possible is necessary to prevent peripheral neuropathy after acute CO intoxication. Besides, persisting in rehabilitation training might be important to treat peripheral neuropathy after acute CO intoxication.
M2 macrophages are the origin of tumor metastasis
Authors: Li Hui , Miao Yingqi , Suo Liping , Wang Xi , Mao Yiqing , Zhang Xuehui , Zhou Na , Tian Junrui , Yu Xiuyan , Wang Tongxia , Gao Yan , Guo Hongyan , Zhang Zheng , Ma Diansheng , Wu Hongxia , Cui Yanwei , Zhang Xiliang , Chi Xiaochun , Li Yuchi , Irwin David , Niu Gang , Tan Huanran
Published: January 2023

Tumor metastasis is a key factor affecting the life of patients with malignant tumors. For the past hundred years, scientists have been focusing on how to kill cancer cells and inhibit their metastasis in vivo, but few breakthroughs have been made. Here we propose a novel mode for cancer metastasis. Here we show that the phagocytosis of apoptotic tumor cells by macrophages leads to their polarization into the M2 phenotype, and that the expression of stem cell related as well as drug resistance genes are induced. Therefore, it appears that M2 macrophages have "defected" and have been transformed into the initial "metastatic cancer cells", and thus are the source of the distal tissue tumor metastasis. This conclusion is supported by the presence of fused cells with both macrophage and tumor cell characteristics in the peripheral blood and ascites of patients with ovarian cancer. By suppressing the expression of CD206 in M2 macrophages by siRNA, we show that the growth and metastasis of tumors is suppressed at the in vitro cell line and in the in vivo experimental mice models. In summary, we show that M2 macrophages in the blood circulation undergo a "change of loyalty" to become "cancer cells" that undergo distal tissue metastasis, which can be suppressed by the knockdown of CD206 expression.
On scalarization and well-posedness in set optimization with a partial set order relation
Authors: Gupta Sakshi , Gupta Rekha , Srivast Manjari
Published: January 2023

In this paper, a new scalarization function is introduced with respect to a partial set order relation established by Karaman et. al. (Positivity 22(3):783-802,2018 ). A few properties of this function are studied. Scalarization results and some characterizations for set of minimal and weak minimal solutions of a set optimization problem (SOP) in terms of the optimal solution set of the scalar optimization problem (P) are obtained using the newly defined scalarization function. Further, two types of well-posedness for (SOP) are introduced. Equivalence between the well-posedness of (SOP) with (P) is established and a few necessary conditions are obtained for the two well-posedness defined above.
Mathematics Subject Classification (2010) 49J53 · 49K40 · 90C48
Impact of congenital heart disease on outcomes among pediatric patients hospitalized for COVID-19 infection
Authors: Ghimire Laxmi V. , Chou Fu-Sheng , Aljohani Othman A. , Moon-Grady Anita J.
Published: January 2023

Background
COVID-19 infection is generally regarded as an acute self-limiting illness in children, but it can cause significant morbidity and mortality in both healthy and high-risk children. There are limited data on the outcomes of children with congenital heart disease (CHD) and COVID-19. This study aimed to examine the risks of mortality, in-hospital cardiovascular and non-cardiovascular complications in this patient population.
Methods
We analyzed data from hospitalized pediatric patients from 2020 using the nationally representative National Inpatient Sample (NIS). Children hospitalized for COVID-19 were included, and weighted data were used to compare in-hospital mortality and morbidities between children with and without CHD.
Results
Out of 33,220 children admitted with a diagnosis of COVID-19 infection(ICD-10 code:U07.1) during calendar year 2020, 875 (2.6%) had CHD. Compared to children without CHD, children with CHD had similar in-hospital mortality (1.2% vs 0.8%, p = 0.63), with adjusted OR (aOR) of 2.0 (95% CI: 0.5–8.3). Tachyarrhythmias and heart block were more likely in CHD children with an aOR of 4.9 (95% CI: 1.9–12.4) and aOR of 4.4 (95% CI: 2.0-9.7), respectively. Similarly, respiratory failure [aOR = 1.8 (1.2–2.9)], respiratory failure requiring non-invasive mechanical ventilation [aOR = 3.1 (1.5–6.2)] and invasive mechanical ventilation [aOR = 2.2 (1.2-4.0)], and acute kidney injury [aOR = 3.0 (1.8–4.9)] were all significantly higher among patients with CHD. Median length of hospital stay in children with CHD was longer than those without CHD [5 days (IQR: 2-9.3) vs. 3 days (IQR: 2–5), p = < 0.001].
Conclusions
Children with CHD hospitalized with COVID-19 infection were at increased risk of serious cardiovascular and non-cardiovascular adverse clinical outcomes. They were not at increased risk for death when compared to children without CHD but had increased length of hospital stay and utilization of healthcare resources.
In silico characterization of Tomato Leaf Curl New Delhi Virus in Manipur: Evidence for its global expansion and future threat
Authors: Chakraborty Swati , Singh Lourembam Sanajaoba , Barman Mritunjoy , Dutta Subham , Tarafdar Jayanta
Published: January 2023

Tomato leaf curl New Delhi virus (ToLCNDV) is a whitefly-transmitted bipartite ssDNA virus causing worldwide havoc to the tomato production. The present study addresses first report for the existence of ToLCNDV at Manipur region of North East India. Sequence comparison of DNA A (MG649330) and DNA B (OM752176) genomes showed close homogeneity of about 98% and 100% with Bangladesh isolates, but revealed only 84–96% (DNA A) and 81–100% (DNA B) similarity with other isolates of ToLCNDV. Phylogenetic relationship of global ToLCV species showed interchangeable results, substantiating that the isolate belonged to the old world bipartite group. Significant recombination events were ascertained around the intergenic region and the 5’end of the AC1 gene implicating a constant driving force for evolution and emergence of the strain. Population dynamics of global ToLCNDV isolates and other dominant ToLCV species within India were determined based upon several parameters i.e. genetic diversity, historic demographic events including neutrality test, Fst distance, Mismatch distribution plot, Haplotype network yielding significant results. Population genetics analysis overall showed low nucleotide diversity indicating recent population expansion. The dominant species of ToLCV in India also reinforced similar results where all the population showed diversifying selection constraint for the coat protein genes. Population dynamics of these viruses portrays Indian subcontinent as the possible hotspot for rapid demographic expansion from a small virus population size, indicating probability for rapid spread and emergence of distinct strains which may assist in future to signal the emergence of new threats to tomato production.
Extracellular Matrix Based 3D Scaffold for Directing the Fate of Adult Stem Cells into Osteogenic Lineage
Authors: Ramzan Faiza , Khalid Shumaila , Salim Asmat , Frazier Trivia , Begum Sumreen , Mohiuddin Omair Anwar , Khan Irfan
Published: January 2023

Background
Bone defect causes softening of bone, reduction of bone density and mass, and degenerating bone microstructure which directly leads to bone fractures. Tissue-derived engineered cell-seeded hydrogel scaffolds are considered a promising strategy for the treatment of such defects. Among the most important objectives is to develop a unique biological tissue derived scaffolding material that is easily manipulated, efficient for cell attachment, and biocompatible, as well as supports cell growth, proliferation, and differentiation along osteogenic lineage.
Methods
This research describes a technique for the preparation of decellularized hydrogels. The detergent-based procedure using Triton-X-100 reported here effectively eliminates cellular proteins and antigens, as well as nucleic acid, while causing minimal damage to the extracellular matrix (ECM). The final product contains natural ECM components that guide stem cell differentiation by simulating the natural tissue microenvironment. Umbilical cord-derived mesenchymal stem cells (MSCs) were seeded in the hydrogel. The cell-hydrogel constructs were cultured in basal or osteogenic media for 28 days. Thereafter, mRNA and protein expression of osteogenic markers were analyzed.
Results
The results indicated that the scaffold had a fibrous structure with a relatively homogenous exterior. The cells seeded hydrogel after 28 days of culture in basal media as well as in osteogenic inductive media displayed higher mRNA and protein expression of osteogenic markers. Moreover, calcium deposits were also observed which further confirmed osteogenic differentiation.
Conclusion
The present findings demonstrate that the hydrogel is biocompatible with MSCs and possesses osteo-conductive and osteo-inductive capability in vitro. It is potentially useful for bone tissue engineering.
Do urban heat islands intensify droughts in tropical east Africa?
Authors: Garuma Gemechu Fanta
Published: January 2023

The horn of Africa is susceptible to droughts because of the persistent heat waves and insufficient precipitation. The growth of urban population and built-up urban environments exacerbate the overheating problems due to the urban heat island effects. Understanding the impacts of anthropogenic activities in such dry environments is important to control or mitigate extreme heat leading to droughts. This is required to preserve soil moisture, pothole waters, lakes and rivers that are required for pasture and drinking water. Nonetheless, the intensity and duration of the urban heat island effects have not been investigated in this region resulting in the underestimation of the intensity and severity of the extreme heat events. This study therefore performs the quantitative analyses of the intensity, duration and causality of the tropical surface urban heat islands (TSUHIs) for the first time using earth observation information at a regional to local scale. It also identifies the factors that control TSUHIs, considering background climate, population, vegetation and the impervious urban fractions. Results showed that the TSUHI in the capital cities of tropical east Africa varies from 1oC in Dodoma to 4oC in Kampala and reaches up to 8oC in Khartoum. The mean temperature contribution to regional climate from 2000-2020 is 0.64oC during the day and 0.34oC during the night, a mean total of around 0.5oC, a 0.25oC increase per decade. This is a quarter of the increase in global surface temperature, which is ~1.09oC from 2011 to 2020 compared to the 1850-1900 level. Most of these capital cities in this region exhibited high TSUHIs from late summer to winter and are dependent on mainly population, vegetation, evapotranspiration and soil moisture in different proportions.This urban induced additional temperature has been intensifying droughts in tropical east Africa. Therefore, urban planners are advised to consider the impacts of TSUHIs to reduce the severity of droughts in the tropical east Africa region.
Filling a Gap between Integrated Methods in the Digital Corpus Study of Literary Retranslations: The Case of To the Lighthouse into Italian
Authors: Cipriani Anna Maria
Published: January 2023

Digital technologies can be used to complement traditional descriptive translation studies (DTS) with various types of textual explorations. However, there is still a historical discrepancy between the digital corpus techniques applied to DTS drawing on corpus linguistics mainly focusing on linguistic features of translation and the DTS focusing on non-linguistic categories. Drawing on Zanettin’s (2011, 2013) proposed interpretative annotations, the methodology developed here extends the digital corpus approach to investigate whether and how the non-linguistic modernist features of Virginia Woolf’s To the Lighthouse are rendered in multiple (re)translations into Italian. This extension of the corpus approach fits with Bassnett’s and Lefevere’s (1990) ‘cultural turn’ from linguistic translation theories to Even-Zohar’s (1978/2012, 1979) and Toury’s (1980, 1981, 1995) polysystems theory for contextual (historical, social, and cultural) explanations, which are the defining basis of the DTS approach. In the case study considered here, the exhaustive and complete analysis demonstrates that the multiple retranslations are ‘modernist’ only marginally.
Multimodal Fusion Models for Pulmonary Embolism Mortality Prediction
Authors: Cahan Noa , Marom Edith M , Soffer Shelly , Barash Yiftach , Konen Eli , Klang Eyal , Greenspan Hayit
Published: January 2023

Pulmonary embolism (PE) is a common, life threatening cardiovascular emergency. Risk stratification is one of the core principles of acute PE management and determines the choice of diagnostic and therapeutic strategies. In routine clinical practice, clinicians rely on the patient’s electronic health record (EHR) to provide a context for their medical imaging interpretation. Most deep learning models for radiology applications only consider pixel-value information without the clinical context. Only a few integrate both clinical and imaging data. In this work, we develop and compare multimodal fusion models that can utilize weakly-labeled multimodal data by combining both volumetric pixel data and clinical patient data for automatic risk stratification of PE. Our best performing model is an intermediate fusion model that incorporates both bilinear attention and TabNet, and can be trained in an end-to-end manner. The results show that multimodality boosts performance by up to 14% with an area under the curve (AUC) of 0.96 for assessing PE severity, with a sensitivity of 90% and specificity of 94%, thus pointing to the value of using multimodal data to automatically assess PE severity.
Predictors of recurrent ischemic stroke: A retrospective cohort study
Authors: Shaafi Sheida , Sadeghpour Yalda , Masroor Fatemeh , Nejadghaderi Seyed Aria
Published: January 2023

Background: Cerebrovascular events are one of the most common causes of disability and the third leading cause of death in developed countries. Herein, we aimed to investigate the potential underlying causes of recurrent ischemic stroke.
Methods: This study was a retrospective cohort study which conducted in Razi Hospital, Tabriz, Iran between March 2018 and September 2020. Patients with the diagnosis of recurrent ischemic stroke during the study period were eligible to be included. Baseline characteristics and data on the recurrence were collected using chart reviews. Binary logistic regression was used to examine the factors related with recurrence.
Results: One hundred participants with a mean age of 68.88 years were included in the study among them 59% were male. Hypertension, diabetes, heart disease, smoking and hyperlipidemia identified in 79%, 42%, 24%, 15%, and 15%, respectively. The average recurrence time of stroke was about 2.52 years. There was only a significant relationship between history of heart diseases and ischemic stroke recurrence (risk ratio: 0.10: 95% confidence interval: 0.03-0.33).
Conclusions: We found no significant association between ischemic stroke recurrence and underlying diseases except for heart diseases. Further large-scale observational studies and meta-analysis are recommended to evaluate the association.
Time distribution of culturable bacteria and pathogens in the Western South China Sea by using five kinds of culture methods
Authors: Xing Mei , Fu Qiuye , Lin Sisi , Fu Xiong , Wang Xiaoxia , Wang LiCheng , Zhu Xiong , Ouyang Tinglan
Published: January 2023

Marine bacteria occupy an important position in the biogeochemical cycle. The study of marine bacteria can provide basis for understanding the ecosystem, microbial evolution and medical health utilization. However, most marine bacteria can not be cultured till now, and the research on culturable bacteria is significant.Wenchang sea area is located in the west of the South China Sea, representing a tropical marine biodiversity of the world. Typhoons often occur in this area after autumn. We assume that the difficulty of culturing bacteria from the ocean is different at different times.
Results
This study collected seawater at six different sites in four different quarters and cultured marine bacteria using five kinds of culture media. Then, bacteria were identified by 16S rDNA full-length sequence analysis. For the full year, 1151 strains of identifiable bacteria were isolated, which could be identified as 4 phyla, 9 classes, 20 orders, 38 families, 66 genera, and 213 species. Klebsiella, Exiguobacterium, Proteus, andEscherichia are the dominant genera, accounting for 9.64%, 8.77%, 6.52%, and 6.52% respectively. Klebsiella pneumoniae, Proteus mirabilis, Exiguobacterium indicum, and Escherichia coli are the dominant species, accounting for 7.99%, 6.34%, 4.69%, and 4.52% respectively. This study also found season-specific bacteria and pathogens appearing throughout the year.
Conclusions
It first revealed the time distribution of culturable bacteria and pathogens from the Wenchang coastline of Hainan Island, The South China Sea, and broadened understanding of the western Pacific Ocean microbes.
Fermi-Dirac entropy as a measure of electron interactions
Authors: Flores-Gallegos Nelson
Published: January 2023

In this work, we analyzed a simple chemical reaction using Fermi-Dirac's entropy defined in terms of the L\"owdin's occupation numbers,
this definition of entropy has not been applied or explored enough in the field of quantum chemistry, in this regard, Fermi-Dirac's entropy
maybe a good option to perform works in which the main purpose will be the study or analysis of the effect of the electron interactions.
The results presented in this work were complemented by the analysis of the kinetic energy, potential energy, and the variation of the electric potential,
along the reaction path, our results suggest that this entropy can be a useful tool to perform studies on electron interactions.
New lump solutions to the nonlinear Schrödinger equation under the few-cycle pulse propagation property
Authors: Zahran Emad H.M. , Bekir Ahmet
Published: January 2023

Throughout this work, we will derive new various types of lump solutions to the nonlinear Schrödinger equation that describing few-cycle pulse propagation in metamaterials. The propagation of waves through optical fibre is one of recent phenomenon that plays fundamental rule in all telecommunication processes as well as medicine devices industries, ocean engineering devices technologies. The lump solutions of this model will be firstly constructed in this article via three various techniques which are the (G’/G)-expansion method, the extended simple equation method (ESEM) and the Paul-Painleve approach method (PPAM). These three techniques have been regularly implemented in parallel paths to show the agreements between the output results. When the comparison between our achieved results with each other’s as well as by that achieved previously has been implemented, it shows the novelty of these results.
A possible feedback between dynamics and thermodynamics through the background moisture in dictating the ISO rainfall over the Bay of Bengal
Authors: Kottapalli Aditya , Vinayachandran P N
Published: January 2023

The northward propagating intraseasonal Oscillation (ISO) is one of the dominant modes of tropical variability during Boreal summers. Several mechanisms have been proposed to explain northward propagation. Yet the factors that decide the ISO rainfall over a particular region remain elusive. This study shows that the ISO rainfall anomalies weaken across the south Bay of Bengal (SBoB) before they re-strengthen over the north Bay of Bengal (NBoB). We use the moisture budget to understand the reason for these weakening-strengthening cycles. We find that the horizontal moisture flux convergence predominantly controls the ISO rainfall anomalies over the two regions. The convergence of background moisture by the ISO wind perturbations decides the ISO rainfall structure. Since past literature suggests that the Planetary Boundary Layer (PBL) convergence is caused by barotropic vorticity, we further conduct the vorticity budget to understand the rainfall structure. We find that though vorticity tilting helps in the generation of the positive tendency of ISO vortex, it is the vorticity stretching that enhances the PBL convergence and hence the ISO rainfall over the NBoB. Further splitting of the stretching term helps us conclude that the convergence due to wind perturbations is the predominant term, representing feedback between dynamics and thermodynamics. We hypothesize that the weaker rainfall anomalies in the SBoB result from the weaker background column relative humidity and moisture, which do not allow the initial dynamic perturbations to grow as fast as they do in an environment with stronger background relative humidity and moisture (NBoB). Our study helps us understand the factors that control the ISO rainfall over a particular region and could help improve the model simulations.
Cuckoo Search Optimization based Energy Efficient Job Scheduling Approach for IoT-Edge Environment
Authors: Bakshi Mohana , Chowdhury Chandreyee , Maulik Ujjwal
Published: January 2023

Recently developed IoT devices are capable of gathering, storing, and processing more data than ever before. This calls for the need for scalability. Through the use of edge computing, more processing functions can be relocated closer to where the data is gathered through the IoT devices. Here, processing tasks may be placed in the Edge Computing Units (ECUs). Each ECU may host a cloudlet consisting of a number of Virtual Machines (VMs), where tasks, that is, jobs could be executed. Due to the need to ensure near real-time response of the jobs, efficient job scheduling is required. Few recent works addressed this issue of job scheduling at the edges. However, many important constraints such as job dependency, job conflict along with heterogeneous edge infrastructure are not found to be considered. Accordingly, in this paper, we proposed an optimal job scheduling approach based on the cuckoo search algorithm to handle these challenges subject to energy efficiency and resource utilization.
The proposed algorithm is simulated and found to work notably well as compared to state-of-the-art edge computing-based job scheduling techniques, especially when the jobs have conflict or dependency among them. The work is reported to achieve above 85% resource utilization even in presence of job conflicts and de-pendencies.
Management and Outcome of Intracardiac Heartworms in Dogs
Authors: Vila Jorge , Alost Elisabeth
Published: January 2023

Background

Intracardiac heartworm (IH) disease is a serious condition that can become life threatening if the patient develops caval syndrome. We aim to describe the management and outcome of IH in dogs evaluated by Medvet’s New Orleans cardiology service from November 2015 to December 2021.

Methods

Records of 27 dogs with IH were examined retrospectively. Follow-up information was obtained from phone conversations with referring veterinarians and owners.

Results

9/27 dogs had a previous diagnosis of heartworm disease and were undergoing “slow kill” treatment, 12/27 dogs heartworm disease was a new diagnosis, and 6/27 had either scheduled or started adulticide therapy. Nine dogs had heartworm extraction. No dogs died during the heartworm extraction procedure. 4/9 dogs have died (survival time 1; 676; 1,815 and 2,184 days). One dog died the day after the procedure secondary to continued respiratory distress, the other 3 died of non-cardiac causes. 5/9 are alive (median follow up 1062 and range of 648 to 1831 days). Eleven dogs had IH resolution. In 7/11 this occurred while undergoing stabilization for heartworm extraction. In 4/11 heartworm extraction was not recommended due to low IH burden. All dogs with IH resolution were discharged from the hospital. 4/11 have died (survival time 6; 22, 58 and 835 days) and 6/11 are alive (median follow up 523 and range of 268 to 2,081 days). One was lost to follow up after 18 days. Five dogs were medically managed. In 1/5 dogs, extraction was not recommended due low IH burden. In 4/5 extraction was recommended but declined. 1/5 has died (survival of 26 days) and 4/5 are alive (follow up of 155; 371; 935 and 947 days). Two dogs were euthanized at the time of diagnosis. 15/27 dogs were considered to have caval syndrome.

Conclusion

The results suggest that patients with IH resolution have a good long-term prognosis. Most often IH resolution occurred while undergoing stabilization for heartworm extraction. When IH are present, heartworm extraction should still be considered the treatment of choice and recommended as 1st line therapy whenever possible.
Global dynamics of a Lotka-Volterra competition-diffusion-advection model with stage structure
Authors: Yan Shuling , Du Zengji
Published: January 2023

In this paper, we study a classical two species stage structure Lotka-Volterra diffusion-advection system. By employing the Krein-Rutman theorem, analyzing the principal eigenvalue, and combining with the theory of monotone dynamical systems, a complete classification of the global dynamics is given for the weak competition case.
2020 MSC: 35B35, 35K57, 35Q92, 92D25
A Supervised Method to Enhance Distance-based Neural Networks' Clustering Performance by Discovering Perfect Representative Neurons
Authors: Fu Qiang , Li Yuefeng , Albathan Mubarak
Published: January 2023

Distance-based neural network clustering has an intrinsic assumption that a particular neuron in the network represents a cluster centroid. However, not all these neurons can perfectly represent the training data; these neurons can only represent part of the training samples. This paper proposes an effective training data splitting method (TDSM) to find perfect representative neurons and improve the clustering results in a distance-based neutral network without changing the original network's internal algorithm or the training data quality. The method allows a network with N neurons to be enlarged to a new m×N neurons network. These neurons represent m sub-networks, and each sub-network perfectly represents a part of the training set with the clustering qualification indicators (purity, Normalized Mutual Information, and Adjusted Rand Index), all equalling 1. Results are statistically validated with a t-test, and we demonstrate that TDSM performs better than the original clustering paradigm on some real data sets.
Study of the effect nitro and hydroxyl substituents of two Imidazopyridines derivatives on inhibitory efficacy: Combining Theoretical and Experimental Study
Authors: Elyoussfi Abdellah , Daoudi Walid , Salhi Amin , Azghay Issam , Ahari Mhamed , Amhamdi Hassan , Benchat Noureddine , Dafali Ali , Aatiaoui Abdelmalik El
Published: January 2023

The present study was devoted to the investigation of the effect of NO2 and OH group in the structure of two imidazopyridine, namely: (E)-N-(7-methyl-2-phenylimidazo[1,2-a]pyridin-3-yl)-1-(4-nitrophenyl)methanimine (Imid1) and (E)-4-(((7-methyl-2-phenylimidazo[1,2-a]pyridin-3-yl)imino)methyl)phenol (Imid2) on the corrosion inhibition efficiency of steel in acidic medium, to remediate mild steel in hydrochloric acid. The evaluation of this activity was revealed using several experimental techniques such as: weight loss measurements (WL), potentiodynamic polarization (PDP) and electrochemical impedance spectroscopy (EIS), UV-visible spectroscopy study, surface characterization by SEM, as well as the impact of temperature and concentration on the inhibition efficiency for two inhibitors. The results obtained from these techniques show that the inhibition efficiency is reduced by the effect of the nitro electron withdrawing group (NO2) in the Imid1 molecule, but increased by the presence of the donor group (-OH) in the Imid2 molecule. The comparison of the results obtained by UV-visible spectroscopy of the inhibited and uninhibited electrolyte provided evidence for the formation of an Fe-ligand complex of two imidazopyridine molecules in 1M HCl. Surface morphological studies by SEM revealed a uniform surface in the presence of the imid1 − 2 in contrast a destroyed surface in the absence of the inhibitors. Finally the results of DFT and MDS simulations are in good order with the experimental data and showed that the obtained order of the inhibition efficiency is always respected (Imid2 > Imid1).
Machine learning-based QoT estimation over optical wireless communication
Authors: Sahu Shakrajit , Clement J. Christopher
Published: January 2023

Fiber-optic communication and networks play an important role in communications technology. According to the last few decades, in this area, research development is growing rapidly. Machine learning (ML) algorithms for optical communications (OC) are certainly a hot topic in the current generation. To overcome the current limitation and different issues of fiber-optic communication and network, a machine learning (ML) algorithm is essential for us. Machine learning techniques are proof that it has superiority in solving complex problems. Machine learning algorithms generally focused on the education field, business organization, and health sectors. Currently, many researchers work in the optical communications area by using machine learning algorithms techniques. A machine learning algorithm is an emerging technology because it helps in the optical communication field for a better quality of service (QoS). According, to the first time, this work reviews machine learning for optical communication literature from a machine learning viewpoint. Only fiber-optic communication and network experts work on machine learning for optical networks, and they are not ML algorithms experts. This paper uses machine learning algorithms for calculating the quality of transmission (QoT) of light paths in optical 1 Springer Nature 2021 L A T E X template Article Title networks link. For better quality of transmission (QoT) estimation tools, it can show the performance analysis of machine learning-based algorithms by using such as bit error rate (BER), optical signal to noise ratio (OSNR), quality factor (Q-factor), blocking probability, and signal to noise ratio (SNR) data. This paper presents a novel concept of quality of transmission (QoT) based on the machine learning algorithm.
Identification of the Breach of Short-Term Rental Regulations in Irish Rent Pressure Zones
Authors: Liu Guowen , Arnedillo-Sanchez Inmaculada , Chen Zhenshuo
Published: January 2023

The housing crisis in Ireland has rapidly grown in recent years. To make a more significant profit, many landlords are no longer renting out their houses under long-term tenancies but under short-term tenancies. The shift from long-term to short-term rentals has harmed the supply of private housing rentals. Regulating rentals in Rent Pressure Zones with the highest and rising rents is becoming a tricky issue.
In this paper, we develop a breach identifier to check short-term rentals located in Rent Pressure Zones with potential breaches only using publicly available data from Airbnb (an online marketplace focused on short-term home-stays) and Irish government websites. First, we use a Residual Neural Network to filter out outdoor landscape photos that negatively impact identifying whether an owner has multiple rentals in a Rent Pressure Zone. Second, a Siamese Neural Network is used to compare the similarity of indoor photos to determine if multiple rental posts correspond to the same residence. Next, we use the Haversine algorithm to locate short-term rentals within a circle centered on the coordinate of a permit. Short-term rentals with a permit will not be restricted. Finally, we improve the occupancy estimation model combined with sentiment analysis, which may provide higher accuracy.
Because Airbnb does not disclose accurate house coordinates and occupancy data, it is impossible to verify the accuracy of our breach identifier. The accuracy of the occupancy estimator cannot be verified either. It only provides an estimate within a reasonable range. Users should be skeptical of short-term rentals that are flagged as possible breaches.
The role of Vegfc signaling during cardiac regeneration in zebrafish
Authors:   , El Sammak Hadil
Published: January 2023

Ischemic heart disease caused by occlusion of coronary vessels leads to the death of downstream tissues, resulting in a fibrotic scar that cannot be resolved. In contrast to the adult mammalian heart, the adult zebrafish heart can regenerate following injury, enabling the study of the underlying cellular and molecular mechanisms. One of the earliest responses that take place after cardiac injury in adult zebrafish is coronary revascularization. Previous transcriptomic data from our lab show that vegfc, a well-known regulator of lymphatic development, is upregulated early after injury and peaks at 96 hours post cryoinjury, coinciding with the peak of coronary endothelial cell proliferation. To test the hypothesis that vegfc is involved in coronary revascularization, I examined its expression pattern and found that it is expressed by coronary endothelial cells after cardiac damage. Using a loss-of-function approach to block Vegfc signaling, I found that it is required for coronary revascularization during cardiac regeneration. Notably, blocking Vegfc signaling resulted in a significant reduction in cardiomyocyte regeneration. Using transcriptomic analysis, I identified the extracellular matrix component gene emilin2a and the chemokine gene cxcl8a as effectors of Vegfc signaling. During cardiac regeneration, cxcl8a is expressed in epicardium-derived cells, while the gene encoding its receptor cxcr1 is expressed on coronary endothelial cells. I found that overexpressing emilin2a increases coronary revascularization, and induces cxcl8a expression. Using loss-of-function approaches, I observed that both cxcl8a and cxcr1 are required for coronary revascularization after cardiac injury. Altogether, my findings indicate that Vegfc acts as an angiocrine factor that plays an important role in regulating cardiac regeneration in zebrafish. Mechanistically, Vegfc promotes the expression of emilin2a, which promotes coronary proliferation, at least in part by enhancing Cxcl8a-Cxcr1 signaling. This study helps in understanding the mechanisms underlying coronary revascularization during cardiac regeneration, with promising therapeutic applications for human heart regeneration.
Open data policy as the basis of university image
Authors: Shevchenko K. A.
Published: January 2023

in modern society, any organization is forced to compete in the market, is in a constant process of attracting new people, strive to occupy the top positions in the ratings. Higher education institutions are no exception. After the appearance of the concept «University 3.0.», one of the goals of which was to create integrated entrepreneurial ecosystems on the basis of educational organizations, where the university is assigned the role of a generator of innovations, and science and education also remain a priority, it became necessary to ensure maximum transparency of the processes that occur within each organization. Digitalization of the educational process has also played an important role, not only during the actual education, but also at the time of choosing a suitable university. The article examines the history of the development of the term «image of a higher educational institution» in Russia, its transformation, as well as its components, including the policy of open data. In addition, the paper describes the difference between the concepts of “open data” in the field of education: «open education» and «open data on education»; analyzes the problem of implementing open data policy by universities, and also examines the role of open data in working on the image of an educational institution.
Copper-Bisbenzimidazole Complexes as Biomimetic Catalysts in Organic
Transformations
Authors: Jain Manisha , Yadav Shilpa , Mansi  , Misra Neeti , Khanna Pankaj , Khanna Leena
Published: January 2023

Copper complexes have biological applications as well as catalytic importance in
performing organic reactions. Besides finding utilities in metalloproteins, enzymes, or molecular
magnetism, they have been used extensively as catalysts in the formation ofcarbon–carbon or carbon–
heteroatom bonds, in addition to many other reactions. This has been achieved by the rational
selection of the organic ligands with suitable coordination sites for attaining ideal geometries. The
binding of one such organic ligand, bisbenzimidazole, with copper results in complexes with varied
shapes, structures, and activities, enhancing their catalytic potential and hence useful applications.
This review describes the catalytic applications of bisbenzimidazole based copper (II)/(I) complexes
in various useful organic transformations. It also provides an in-depth knowledge of the mechanistic
pathways of the transformations involving copper complexes and their multipurpose utility as
catalysts, which may help in the development of improved copper catalysts for the future.
Breast Cancer Knowledge, Attitude and Practice among Metro Women of
India Using Social Media: A Cross-Sectional Study
Authors: Nibha Sinha , Alka Sharma
Published: January 2023

Background:

In recent times, social media has been playing an important role in spreading
health awareness including breast cancer awareness. Breast cancer is the most common form of cancer
among Indian women. Awareness of its risk factors, symptoms, screening methods and positive attitude
towards screening and practices are essential to reduce the advanced stage diagnosis and further
its mortality rate. This study aims to evaluate knowledge, attitude, and practice about breast cancer in
social media users’ in women in the metro city Delhi of India.

Methods:

We conducted a cross-sectional study from June to December 2019, obtaining data from
397 women using a structured questionnaire. It had four sections that included the socio-demographic
profile, knowledge of the risk factors of breast cancer, symptoms and screening, attitude towards
screening methods, and its practice to prevent the disease.

Results:

The mean age of the respondents was 39.34 (±10.22) years. Interestingly, while 92.4%
(367/397) knew about the dreaded disease, only 74% knew about its risk factors. The participants who
were married, educated and working had reported significantly higher knowledge scores (p ≤ 0.001)
Almost three fourth of these women did have a positive attitude towards breast self-examination and
clinical examination, and 58% of them were practicing breast self-examination, on monthly basis.

Conclusion:

Our study findings revealed that women using social media were having a good awareness
of risk factors, symptoms, and screening methods. They also have a positive attitude toward
screening methods for breast cancer. It highlights the need for awareness generation for practicing early
screening behavior.
1,3,4-Thiadiazole: A Versatile Pharmacophore of Medicinal Significance
Authors: Bala Madhu , Piplani Poonam , Ankalgi Amardeep , Jain Ankit , Chandel Lalit
Published: January 2023

The 1,3,4-thiadiazole nucleus has attracted the attention of medicinal chemists during the
last decades due to its multiple pharmacological activities, such as antiviral, anticancer, antibacterial,
and anticonvulsant activity. This scaffold's structural alteration could aid in developing novel therapeutically
effective drugs. Incorporating this adaptable pharmacophore into a well-established medicinally
active molecule results in hybrid molecules with diverse pharmacological effects. These encouraging
reports suggested that this privileged skeleton should be thoroughly researched for medicinal
purposes. Hence, an attempt has been made in this compilation to review the structure-activity
relationships of numerous thiadiazole derivatives reported in the literature with varied pharmacological
properties. This review provides an up-to-date explanation of the various synthesized 1,3,4- thiadiazole
analogs and their pharmacological importance.
GREEN MARBLE 2022. Estudos sobre o Antropoceno e Ecocrítica / Studies on the Anthropocene and Ecocriticism
Authors: Mendes Rui Paes , Gonçalves Carmen Diego
Published: January 2023

Contributos resultantes de encontro científico ocorrido entre 30 de junho e 2 de julho de 2022 na Universidade Fernando Pessoa (Porto) sobre as problemáticas do Antropoceno e da Ecocrítica,em especial sobre a relação entre o ser humano e a natureza, e o impacto global da ação humana no nosso planeta, produzidos por duas dezenas de investigadores de três continentes que cruzaram os seus diferentes pontos de vista disciplinares, nomeadamente os das Geociências e das Ciências Sociais, das Humanidades e das Artes, das Engenharias e das Tecnologias.
Experiências de estudantes-treinadores em Educação Física: Uma perspetiva biográfica de aprendizagem
Authors: Milan Fabrício João , Salles William Das Neves , Brasil Vinicius Zeilmann , Rodrigues Heitor de Andrade , Do Nascimento Juarez Vieira , Milistetd Michel
Published: January 2023

O objetivo deste artigo é analisar as biografias de estudantes-treinadores matriculados na disciplina de Estágio Curricular Supervisionado (ECS) em Treino Desportivo de um curso de Educação Física. Para atingir esse objetivo, optou-se por realizar entrevistas semiestruturadas com nove estudantes-treinadores do curso de Educação Física de uma instituição de ensino superior pública, utilizando como base a teoria de aprendizagem ao longo da vida de Peter Jarvis (2009b). Os resultados indicaram a necessidade de se considerar as distintas experiências de vida dos estudantes-treinadores durante o ECS. Ao se compreender a trajetória pessoal e desportiva dos estudantes, o ECS pode ser estruturado de modo a respeitar as expectativas de cada estudante, estimulando sua participação ativa durante este importante momento formativo.