Miracle-dz/UniFAR-FTUs huggingface dataset:
Critical View of Skilled Migration and Skilled Immigrants, Post-Migration

: Despite the growing body of research confirming the struggles that many skilled immigrants face post-migration, little attention is given to their realities in immigration strategies for recruitment. Countries such as Canada, the United States and the United Kingdom continue to boost their efforts to attract highly skilled immigrants with no commitment to ensure their success. Many skilled immigrants are faced with increasing instances of poverty and discrimination and their efforts to settle and thrive are undermined. The focus on potential economic growth for host countries and faster rates of settlement over other immigrant groups, continue to be the driving force to increasingly attract skilled immigrants. At the same time, the many challenges of discrimination and economic disenfranchisement that especially racialized skilled immigrants face, lead to lower standards of living with certain descent into poverty for many. This article is informed by Critical Race Theory and engages a discussion on the discrimination and economic consequences of poverty that racialized skilled immigrants face in Canada. The article draws on existing literature on skilled immigrants, to provide an overview of the challenges that they encounter with unemployment and underemployment post-migration, which increases their risk of poverty. In an effort to preserve the well-being of skilled immigrants, the discussion outline ideas to developing a path to social justice that is guided by social work principles. The article concludes with key suggestions to address systemic issues that contribute to the challenges that skilled immigrants face in Canada and highlight areas for future research.
Personalised Web Search using Browsing History and Domain Knowledge

: Different users have different needs when they submit a query to a web search engine. Personalized web search is able to satisfy individual’s information needs by modeling long-term and short-term user interests based on user past queries, actions and incorporate these in the search process. A Personalized Web Search has various levels of effectiveness for different contexts, queries, users etc. Personalized search has been a most important research area and many techniques have been developed and tested, still many challenges and issues are yet to be explored. This paper proposes a framework for building an Enhanced User Profile by using user's browsing history and improving it using domain knowledge. Enhanced User Profile is used for suggesting relevant web pages to the user. The results of experiments show that the suggestions provided to the user using Enhanced User Profile are better than those obtained by using a User Profile.
Analysing Media Coverage of Political Debates by Automatically Generated Links to Radio and Newspaper Items

Students and researchers of media and communication sciences study the role of media in our society. They frequently search through media archives to manually select items that cover a certain event. When this is done for large time spans and across media-outlets, this task can however be challenging and laborious. Therefore, up until now the focus of researchers has been on manual and qualitative analyses of newspaper coverage. PoliMedia aims to stimulate and facilitate large-scale, cross-media analysis of the coverage of political events. We focus on the meetings of the Dutch parliament, and provide automatically generated links between the transcripts of those meetings, newspaper articles, including their original lay-out on the page, and radio bulletins. Via the portal at www.polimedia. nl researchers can search through the debates and find related media coverage in two media-outlets, facilitating a more efficient search process and qualitative analyses of the media coverage. Furthermore, the generated links are available via a SPARQL endpoint at data.polimedia. nl allowing quantitative analyses with complex, structured queries that are not covered by the search functionality of the portal, thus challenging the student to go across the academic borders and enter fields that previously have been neglected.
Gene Therapy-Challenges & Success Ms .

Gene therapy is a contemporary therapeutic intervention with recent positive results and regulatory approvals either completed or expected in the next several years for various conditions. The evolving view is that gene therapy will ultimately offer hope across a range of otherwise debilitating or difficult to-treat conditions. The renaissance in gene therapy has seen major development of both non-viral and viral vectors and accelerated preclinical studies and clinical trials. It is therefore timely to address the progress in gene therapy through a special issue presenting reviews on non-viral and viral vectors including relevant updates on applications on herpes simplex virus (HSV) and adeno-associated virus (AAV) vectors. Thus, the purpose of this review is to summarize the general concepts of gene therapy with a specific focus on monogenic rare disease in hematology and central nervous system disorders where burgeoning therapies are currently entering clinical investigations and approaching regulatory approval.
University of Birmingham Vascular wall regulator of G-protein signaling-1 (RGS-1) is required for angiotensin II-mediated blood pressure control

G-Protein coupled receptors (GPCRs) activate intracellular signalling pathways by coupling to heterotrimeric G- proteins that control many physiological processes including blood pressure homeostasis. The Regulator of G-Protein Signalling-1 (RGS1) controls the magnitude and duration of downstream GPCR signalling by acting as a GTPase-activating protein for speci ﬁ c G α -proteins. RGS1 has contrasting roles in haematopoietic and non-haematopoietic cells. Rgs1 − / − ApoE − / − mice are protected from Angiotensin II (Ang II)-induced aortic aneurysm rupture. Conversely, Ang II treatment increases systolic blood pressure to a greater extent in Rgs1 − / − ApoE − / − mice than ApoE − / − mice, independent of its role in myeloid cells. However the precise role of RGS1 in hypertension and vascular-derived cells remains unknown. We determined the e ﬀ ects of Rgs1 deletion on vascular function in ApoE − / − mice. Rgs1 deletion led to enhanced vasoconstriction in aortas and mesenteric arteries from ApoE − / − mice in response to phenylephrine (PE) and U46619 respectively. Rgs1 was shown to have a role in the vasculature, with endothelium-dependent vasodilation being impaired, and endothelium- independent dilatation to SNP being enhanced in Rgs1 − / − ApoE − / − mesenteric arteries. To address the downstream signalling pathways in vascular smooth muscle cells (VSMCs) in response to Ang II-stimulation, we assessed pErk1/2, pJNK and pp38 MAPK activation in VSMCs transiently transfected with Rgs1. pErk1/2 signalling but not pJNK and pp38 signalling was impaired in the presence of Rgs1. Furthermore, we demonstrated that the enhanced contractile response to PE in Rgs1 − / − ApoE − / − aortas was reduced by a MAPK/Erk (MEK) inhibitor and an L-type voltage gated calcium channel antagonist, suggesting that Erk1/2 signalling and calcium in ﬂ ux are major e ﬀ ectors of Rgs1-mediated vascular contractile responses, respectively. These ﬁ ndings indicate RGS1 is a novel regulator of blood pressure homeostasis and highlight RGS1-controlled signalling pathways in the vasculature that may be new drug development targets for hypertension.
Nonlinear Exposure-Outcome Associations and Public Health Policy

In Reply Ms Zhu and colleagues express concerns regarding potential bias and confounding in the study evaluating the safety of repeated tetanus-containing vaccines in pregnancy. First, they point to the accuracy of methods for identifying gestational age. The pregnancy episode algorithm was used to identify live births in our study but was not the method used for identifying gestational age. The validation data presented were specific to the pregnancy episode algorithm for identifying live births. We stated in the article that we limited the cohort for birth outcomes to “records that contained information on the neonate (ie, weight and gestational age). ” In the Vaccine Safety Datalink, gestational age data come from electronic medical record and state birth registry data, which are based on clinician assessment. The clinician uses all available data to determine this estimate, including estimated due date based on ultrasound and last menstrual period data and can adjust this estimate based on the infant’s appearance at birth. Zhu and colleagues also raise concerns about risk factors that were used in the analysis of birth outcomes. Despite the change in direction of the relative risk with adjustment, both the unadjusted and adjusted risk estimates were nonsignificant, and it is inappropriate to overinterpret nonsignificant point estimates on either side of the null. After adjustment for adequacy of prenatal care, comorbidities, and pregnancy complications (which were clinically similar between the groups compared), in addition to gestational age at vaccination, health care site, maternal age, and length of enrollment, we still did not find an association. These adjustments strengthen the overall findings, especially because we had substantial statistical power to detect a difference in birth outcomes. A healthy user effect would not be expected, as all of the women in our study were vaccinated, and women during their prime childbearing years are generally healthy and seek preventive care during pregnancy. Finally, Zhu and colleagues suggest that because most Tdap vaccinations in our study were given in the third trimester, our results might not apply to vaccinations given earlier in pregnancy. Although it is true that 67.4% of the pregnancies had Tdap in the third trimester, there were 9505 pregnancies in which vaccinations were given in the first or second trimester. The Advisory Committee on Immunization Practices currently recommends Tdap at any time during pregnancy with a preference for third trimester administration to “provide the highest concentration of maternal antibodies to be transferred closer to birth. ”1 This optimal timing for administration corresponds to the majority of vaccinations given in our study. Therefore, our findings are applicable to pregnant women whose clinicians are following recommendations. However, we agree that additional data for first trimester vaccination will further strengthen the evidence base regarding Tdap safety in early pregnancy.
A Survey: Inter-App Permission Leakage on Android Devices

New mobile operating systems supports third party developed apps which might be developed intentionally to grab private information of the user. Currently many scenarios have proved that because of inter app messaging mechanisms in android operating system; the user privacy is at risk. This paper presents a survey on inter app permission leakage on android device. Furthermore android app permission mechanism and permission categories also highlighted.
Emerging Computational Approaches for Antimicrobial Peptide Discovery

In the last two decades many reports have addressed the application of artificial intelligence (AI) in the search and design of antimicrobial peptides (AMPs). AI has been represented by machine learning (ML) algorithms that use sequence-based features for the discovery of new peptidic scaffolds with promising biological activity. From AI perspective, evolutionary algorithms have been also applied to the rational generation of peptide libraries aimed at the optimization/design of AMPs. However, the literature has scarcely dedicated to other emerging non-conventional in silico approaches for the search/design of such bioactive peptides. Thus, the first motivation here is to bring up some non-standard peptide features that have been used to build classical ML predictive models. Secondly, it is valuable to highlight emerging ML algorithms and alternative computational tools to predict/design AMPs as well as to explore their chemical space. Another point worthy of mention is the recent application of evolutionary algorithms that actually simulate sequence evolution to both the generation of diversity-oriented peptide libraries and the optimization of hit peptides. Last but not least, included here some new considerations in proteogenomic analyses currently incorporated into the computational workflow for unravelling AMPs in natural sources.
Group Testing with Homophily to Curb Epidemics with Asymptomatic Carriers

The global fight against COVID-19 is plagued by asymptomatic transmission and false negatives. Group testing is increasingly recognized as necessary to fight this epidemic. I examine the gains from considering heterogeneous interpersonal interactions (homophily), which induce potential contamination, when designing testing pools. Homophily can be identified ex ante at a scale commensurate with pool size, so that the risk of contamination is higher within a well-designed pool than with an outsider. This makes it possible to overcome the usual information-theoretic limits of group testing which rely on an implicit homogeneity assumption. More importantly, group testing with homophily detects asymptomatic carriers that would be missed even by exhaustive individual testing because of false negatives. Such a strategy should be implemented at least at a weekly frequency to fit the time profile of test positivity. It can be used either to avoid unnecessary lockdowns or to make lockdowns more efficient. swabs and sputum) from 213 confirmed COVID patients and find strong evidence of false negatives for individual tests based on nasal or pharyngeal swabs: the rate of positive is only 50% to 73.3 % for nasal swabs; it is higher (72.1 % to 73.3 %) for the swabs collected over the first week
Oral skills and anxiety: training and efficacy in undergraduate students

Introduction. The relevance of communicative competences and the management of oral expression in university education is reflected in different curricula and subjects within the European Higher Education Area (EHEA). These skills are a priority for professional development in different fields and involve the learning of a series of skills ranging from the management of appropriate vocabulary, the organization of speech and information, to the regulation of the anxiety that is usually caused by public speaking. The objectives of the present study are: 1. to promote the learning of oral skills and to reduce public speaking anxiety in university students; 2. to test and compare the effects of the educational and psychoeducational strategies applied. Methodology: For this purpose, an experiment (pre-post) was applied in which three different strategies were implemented in a sample of 51 participants divided into three groups (workshop intervention group; discussion intervention group; control group). Results: Positive and effective results were observed in the improvement of oral skills and confidence in public speaking, as well as a reduction of anxiety after the different interventions. Discussion: these findings are relevant for their implementation in specific programs to improve communication skills in students. Conclusions: educational and psychoeducational interventions improve oral competence and anxiety, and the application of a communication workshop is more effective than other strategies, generating a climate of active participation in the classroom.
Topological Simplification of Nested Shapes

We present a method for removing unwanted topological features (e.g., islands, handles, cavities) from a sequence of shapes where each shape is nested in the next. Such sequences can be found in nature, such as a multi‐layered material or a growing plant root. Existing topology simplification methods are designed for single shapes, and applying them independently to shapes in a sequence may lose the nesting property. We formulate the nesting‐constrained simplification task as an optimal labelling problem on a set of candidate shape deletions (“cuts”) and additions (“fills”). We explored several optimization strategies, including a greedy heuristic that sequentially propagates labels, a state‐space search algorithm that is provably optimal, and a beam‐search variant with controllable complexity. Evaluation on synthetic and real‐world data shows that our method is as effective as single‐shape simplification methods in reducing topological complexity and minimizing geometric changes, and it additionally ensures nesting. Also, the beam‐search strategy is found to strike the best balance between optimality and efficiency.
DDDT_A_361618 2229..2239

1Department of Oral and Maxillofacial Surgery, Gazi University Faculty of Dentistry, Ankara, Turkey; 2Department of Anesthesiology and Reanimation, Gazi University Faculty of Medicine, Ankara, Turkey; 3Department of Physiology, Atılım University Faculty of Medicine, Ankara, Turkey; 4Department of Histology and Embryology, Kırıkkale University Faculty of Medicine, Kırıkkale, Turkey; 5Department of Medical Biochemistry, Gazi University Faculty of Medicine, Ankara, Turkey
Distribution and stability of water-stable aggregates as affected by long-term cattle manure application to saline-sodic soil in the black soil region of northeastern China

: Saline-sodic soil has a poor structure, low nutrient content, and excessive sodium in the western Heilongjiang Province, resulting in low crop productivity. Experimental treatments were established by applying manure to the soil for 5 years, 12 years, and 16 years and soil without manure application was used as a control treatment (CK). The results indicate that the application of manure significantly increased soil macroaggregates, the mean weight diameter (MWD) and the geometric mean diameter (GMD) compared to those for the CK treatment. The soil organic matter (SOM) concentration increased from 17.8 to 47.9 g/kg, the soil pH decreased from 10.18 to 7.89, and the electrical conductivity (EC) decreased from 4.92 to 0.19 dS/m. The soil exchangeable Na + was decreased and exchangeable Ca 2+ was increased in the treatments with manure application compared with the CK treatment. And a decrease in the CaCO 3 content was observed in the treatment with manure. Water-stable aggregates (WSAs) of greater than 2.0 mm were the dominant factor driving the changes in the MWD, and WSAs of 1.0-2.0 mm were the dominant factor driving the changes in the GMD. The correlation matrix showed that the SOM and soil exchangeable Ca 2+ concentration was positively correlated with the stability of the WSAs, while the pH, EC, and soil exchangeable Na + were negatively and significantly correlated. We conclude that the long-term application of manure to saline-sodic soil can increase the proportion of soil macroaggregates and thus increase the stability of WSAs, as a result of the formation of soil macroaggregates mainly caused by the increase in the organic colloidal matter and soil exchangeable Ca 2+ , and by the decrease in soil exchangeable Na + . 10.25165/j.ijabe. 20221503.6800 Citation: Zhao Y, Meng Q F. Distribution and stability of water-stable aggregates as affected by long-term cattle manure application to saline-sodic soil in the black soil region of northeastern China. Int J Agric & Biol Eng, 2022; 15(3): 139–145.
A . Importance of Accurate Shift and Scale for 3 D Geometry Recovering

In this section, we show that accurate shift is crucial for recovering 3D geometry while knowing scale value is not necessary. For data obtained from stereo videos [8], or stereo images [12], ground-truth disparity can be extracted only up to unknown scale and shift coefficients. Without knowing the correct disparity shift value, 3D geometry can not be recovered. Hereinafter, we assume that an RGB camera can be described in terms of a pinhole model. Let us consider the 3D line l parametrized with coefficients a, b, c. For projection point x, y on the camera plane, its depth can be calculated as:
Optimized trajectory recovery of on‐road vehicles from monocular videos with multiple constraints

In this paper, we propose an optimized trajectory recovery algorithm for on‐road vehicles from monocular videos, which considers multiple constraints between frames in a sliding window. We build a linear system to optimally estimate the camera rotation matrix corresponding to the first frame in each sliding window, and calculate the camera center estimation. The camera centers are determined by the estimation and prediction eventually. The whole process is applied to the sequential video frames by sliding the window. The advantage of the proposed algorithm is that it is able to reduce the drift error, which is a challenge for the existing algorithms, since multiple constraints in a sliding window are used to optimize the camera poses. We test the algorithm both on synthetic data and real data, and compare it with existing algorithms. It shows a higher accuracy of reconstruction and is suitable to recover a better trajectory of on‐road vehicles from monocular videos. © 2014 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Understanding the Role of Recurrent Connections in Assembly Calculus

In this note, we explore the role of recurrent connections in Assembly Calculus through a number of experiments conducted on models with and without recurrent connections. We observe that assemblies can be formed even in the absence of recurrent connections, but also find that models with recurrent connections are more robust to noisy inputs. We also investigate the spectral structure of the synaptic weights and find intriguing similarities between models of neural assemblies and associative memories.
University of Nebraska - Lincoln

The review paper provides the perceptible description of Breast Cancer (BC) and its classification and various classification strategies associated with BC. It discusses the related studies pertaining to the analysis and classification of BC through histopathological images and investigates the crucial advancements in the BC classification procedures. Furthermore, it provides the analysis of breast histopathological images using traditional Artificial Neural Networks (ANNs). The paper discusses the distinct Deep Learning (DL) methods involved in enhancing the performance of BC classification. By discussing all major studies this review assists researchers in better classification and analysis of BC thereby providing a concise perspective of existing issues, solutions and further developments.
Morphological variation and haplotype diversity of Halimeda macroloba and H. opuntia (Chlorophyta: Halimedaceae) from Southern Vietnam

Plasticity in morphology is a common phenomenon of aquatic plants. Halimeda (Chlorophyta: Halimedaceae) is usually supersaturated with calcium carbonate and is found in tropical and subtropical regions. Among members of Halimeda , both species including Halimeda macroloba and H. opuntia, often occur in different habitats. Haplotype diversity and network of Halimeda were reported in the different sea and oceanic systems. However, there are no reports of the genetic diversity of Halimeda in Vietnamese waters. This present study carried out sample collections along the coast of Southern Viet Nam, including the coast sites, offshore islands, and Spratly (Truong Sa) islands. External morphological and anatomical characteristics of two dominant species, Halimeda macroloba and H. opuntia, were caparisoned. The genetic marker tuf A was applied to find the haplotype diversity and network among Vietnamese and worldwide populations. The results showed that high morphology exists in both species. In contrast, the genetic variation in H. macroloba is very low, and H. opuntia tends to form a distinct group. We suggest that more samples of two species from other locations in Northern Vietnam be included.