Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Associated with Virological Failure in First-Line Antiretroviral Therapy in Patients Diagnosed with HIV-1 between 2010 and 2018 in Israel

Despite the progress in contemporary antiretroviral therapy (ART) and the continuous changes in treatment guidelines, virological failure (VF) is still an ongoing concern. The goal of this study was to assess factors related to VF after first-line ART. A longitudinal cohort retrospective study of individuals on first-line ART diagnosed with HIV-1 in 2010–2018 and followed-up for a median of two years was conducted. Demographics, baseline and longitudinal CD4 counts, treatment regimens, adherence and VF were recorded. The Cox proportional hazards regression and mixed models were used. A cohort of 1130 patients were included. Overall, 80% were males and 62% were Israeli-born individuals. Compared to individuals diagnosed in 2010–2014, when treatment was initiated according to CD4 levels, those diagnosed in 2015–2018 were older and had lower baseline CD4 counts. VF was recorded in 66 (5.8%) patients. Diagnosis with CD4 <200 cells/mmᶟ with AIDS-defining conditions (HR = 2.75, 95%CI:1.52–4.97, p < 0.001) and non-integrase strand transfer inhibitor regimens (non-INSTI, HR = 1.80, 95%CI:1.01–3.24, p = 0.047) increased VF risk. No impact of baseline resistance was observed. We concluded that the early detection of HIV-1 infection and usage of INSTI-based regimens are recommended to reduce VF.
Possible human health risk of selected heavy metals mobility from municipal waste compost amended agricultural soil

Use of organic compost in soil amendment in agricultural practice may tend to transfer heavy metals and can be a health concern. This study aims to investigate the possible mobilization of selected heavy metals from municipal compost amended soil. Experimental plots (250 m 2 ) were divided into four equal portions and alternate portions were amended with municipal compost and left for 5 weeks. Soil physicochemical characteristics for compost, compost amended soil, and unamended soil were obtained by standard procedures, single extraction was obtained by diethylenetriamine penta acetic acid (DTPA) protocol, and the geochemical forms were obtained by Bureau Community of Reference (BCR) sequential extraction method. The extracts were analyzed using Atomic Absorption Spectrophotometer (Buck Scientific Model 210). In this study, the amendment of soil with compost resulted in significant changes in various physico-chemical properties, with notable percentage increases: pH (16.72%), electrical conductivity (EC, 1509.63%), organic carbon (OC, 100.24%), organic matter (OM, 24.43%), organic nitrogen (ON, 24.41%), potassium (K, 1950.63%), sodium (Na, 325.03%), calcium (Ca, 67.93%), and magnesium (Mg, 112.92%). Although, the concentrations of metals were marginally altered by amendments, the study has revealed soil amendment with organic compost a potential source of heavy metals in diet.
Defect Driven Magnetism in Doped SnO Defect Driven Magnetism in Doped SnO 22 Nanoparticles: Surface Nanoparticles: Surface Effects Effects

Magnetism and energetics of intrinsic and extrinsic defects and defect clusters in bulk and surfaces of SnO 2 is investigated using first-principles to understand the role of surfaces in inducing magnetism in Zn doped nanoparticles. We find that Sn vacancies induce the largest magnetic moment in bulk and on surfaces. However, they have very large formation energies in bulk as well as on surfaces. Oxygen vacancies on the other hand are much easier to create than V Sn , but neutral and V O+2 vacancies do not induce any magnetism in bulk as well as on surfaces. V O+1 induce small magnetism in bulk and on (001) surfaces. Isolated Zn Sn defects are found to be much easier to create than isolated Sn vacancies and induce magnetism in bulk as well on surfaces. Due to charge compensation, Zn Sn +V O defect cluster is found to have the lowest formation energy amongst all the defects; it has a large magnetic moment on (001), a small magnetic moment on (110) surface and it is non-magnetic in bulk. Thus, we find that Zn Sn and Zn Sn +V O defects on the surfaces of SnO 2 play an important role in inducing the magnetism in Zn-doped SnO 2 nanoparticles.
Extrapulmonary Neuroendocrine Carcinomas: Current Management and Future Perspectives

Neuroendocrine carcinomas (NECs) are poorly differentiated and highly aggressive epithelial neuroendocrine neoplasms. The most common primary site is the lung, but they may arise in every organ. Approximately 37% of extrapulmonary NECs (EP-NECs) occur in the gastroenteropancreatic (GEP) tract, followed by the genitourinary (GU) system and gynecological tract. As a result of their rarity, there is scant evidence to guide treatment recommendations, and a multidisciplinary approach is essential for the management of such patients. Platinum-based chemotherapy currently represents the standard of care for EP-NECs of any site, mirroring the management of small-cell lung cancer (SCLC), but further approaches are still under investigation. Indeed, ongoing trials evaluating targeted therapies, immune checkpoint inhibitors (ICIs), and radionuclide therapy could provide potentially breakthrough therapeutic options. Given the relative dearth of evidence-based literature on these orphan diseases, the aim of this review is to provide an overview of the pathology and current treatment options, as well as to shed light on the most pressing unmet needs in the field.
European Journal of Mathematics and Science Education

: Bring your own device (BYOD) policy implementation in schools worldwide has allowed students to learn subjects, including mathematics, using personal mobile devices (PMDs). PMD use has enhanced students’ mathematics enjoyment by bridging the gap between theoretical mathematics concepts and their practical applications, which makes mathematics more meaningful and leads to improved results. Nonetheless, students in Namibian basic education are not authorised to learn with PMDs in school. While students’ PMD use in school remains a topic of debate, there remains a need to investigate its impact on students’ mathematics learning and teachers’ perceptions of BYOD in mathematics classrooms. This study evaluated the perceptions and intentions of 209 Namibian mathem atics teachers from the Omusati and Khomas regions regarding students’ mathematics learning using PMDs in schools. Data were collected through an online survey. A structural equation model revealed teachers’ positive intentions towards students’ use of PMD s through BYOD in learning mathematics in school. Perceived usefulness (PU), perceived ease of use (PEoU), and price value (PV) factors directly affected the teachers’ behavioural intentions (BI) towards students learning mathematics through BYOD. PEoU sig nificantly affected teachers’ PU, and PV significantly affected teachers’ PEoU and PU. PU significantly mediated the relationship between PEoU and teachers’ intentions. PV significantly indirectly affected teachers’ intentions through PU. PEoU non-significantly mediated the PV and intention relationship. Practical implications are discussed, and recommendations are offered for the Namibian Ministry of Education, Arts and Culture and teacher training institutions.
PRE ALENCE OF LEFT/RIGHT CONFUSION AMONG MEDICAL STUDENTS IN MUTAH UNIV ERSITY, AL KARAK, JORDAN

Background: The ability to distinguish left from right has been shown to vary substantially within healthy individuals, yet its characteristics and mechanisms are poorly understood. Objective Aims: The study was designed in an effort to spot the extents of Left-Right Confusion (LRC) among medical students in Mutah university and to investigate the relationship between LRC and multiple health and socioeconomic variables. Methods: Analytic cross section study was performed. Database gathered by google sheet in order to introduce them to software. Before analysis, survey was checked for missing data, statistically analyzed by SPSS version 25. Results: The prevalence in our sample was slightly lower than the prevalence reported in prior research, which was 14.7%, and this may be attributed to medical students greater level of education and overall understanding when compared to the general population. Conclusions: It was found that there is a statistically significant link between gender, communication issues, and ADHD. The challenge now is where we go from here; since the relationship we discovered between ADHD and left-right confusion is novel, we need to carry further research to establish this unique association more solidly.
Possibility of Using Conventional Computed Tomography Features and Histogram Texture Analysis Parameters as Imaging Biomarkers for Preoperative Prediction of High-Risk Gastrointestinal Stromal Tumors of the Stomach

Simple Summary Gastrointestinal stromal tumors are the most common mesenchymal tumors that can have a malignant character. Definitive diagnosis is obtained by pathohistological and immunohistochemical analysis of the resected tumor. Preoperative stratification of metastatic risk using non-invasive imaging methods would be of great importance in the selection of patients with high-risk GIST and the application of neoadjuvant target therapy. This could enable tumor shrinkage, avoiding multivisceral resections and reducing the risk of tumor rupture. It also could provide better long-term outcomes, including increased overall survival rates, by optimizing surgical resection and systemic control of the disease. Evaluation of the morphological characteristics of the tumor obtained by computed tomography examination as well as the histogram parameters of the textural analysis of tumor tissue may improve the preoperative prediction of the metastatic risk of GIST. Texture analysis is part of the growing field of radiomics, with significant contributions to oncology so far. Abstract Background: The objective of this study is to determine the morphological computed tomography features of the tumor and texture analysis parameters, which may be a useful diagnostic tool for the preoperative prediction of high-risk gastrointestinal stromal tumors (HR GISTs). Methods: This is a prospective cohort study that was carried out in the period from 2019 to 2022. The study included 79 patients who underwent CT examination, texture analysis, surgical resection of a lesion that was suspicious for GIST as well as pathohistological and immunohistochemical analysis. Results: Textural analysis pointed out min norm (p = 0.032) as a histogram parameter that significantly differed between HR and LR GISTs, while min norm (p = 0.007), skewness (p = 0.035) and kurtosis (p = 0.003) showed significant differences between high-grade and low-grade tumors. Univariate regression analysis identified tumor diameter, margin appearance, growth pattern, lesion shape, structure, mucosal continuity, enlarged peri- and intra-tumoral feeding or draining vessel (EFDV) and max norm as significant predictive factors for HR GISTs. Interrupted mucosa (p < 0.001) and presence of EFDV (p < 0.001) were obtained by multivariate regression analysis as independent predictive factors of high-risk GISTs with an AUC of 0.878 (CI: 0.797–0.959), sensitivity of 94%, specificity of 77% and accuracy of 88%. Conclusion: This result shows that morphological CT features of GIST are of great importance in the prediction of non-invasive preoperative metastatic risk. The incorporation of texture analysis into basic imaging protocols may further improve the preoperative assessment of risk stratification.
Understanding Novice Special Education Teachers’ and Paraeducators’ Mentorship Relationships: A Comparative Case Study

Novice special education teachers (SETs) often report on stress and burnout in their jobs, identifying collaboration with colleagues as a factor that supports them during the first years (Belknap & Taymans, 2015). While previous research focused on teachers' support from their mentor teachers, administrators, and colleagues, in this study we examined the mentorship relationship between SETs and their classroom paraeducators. We analyzed interviews of three novice SETs who taught in a large urban school district. All participants taught in Special Day Classrooms (SDC) and worked closely with paraeducators. The findings of this comparative case study suggest that these relationships are important for teachers' assimilation in the classroom. Results show the mentorship can be bidirectional, where experienced paraeducators support the novice teacher, or where teachers take an active role in mentoring their team. In addition, findings suggest that in the absence of any mentorship, the relationship with the paraeducators becomes a burden for novice teachers as they try to navigate their new roles and duties. The paper provides recommendations for practice and future research.
RESEARCH COMMUNICATION Case-control Study of Single Nucleotide Polymorphisms of PSCA and MUC1 Genes with Gastric Cancer in a Chinese

Aims: A case-control study of 300 gastric cancer patients and 300 controls was conducted to investigate whether the polymorphisms rs2294008 in PSCA and rs2070803 in MUC1 might be associated with risk of gastric cancer in a Chinese population. Methods: Single nucleotide polymorphisms (SNPs) were genotyped using the Sequenom MassARRAY platform. Results: The data showed that the rs2294008 TT genotype increased gastric cancer risk to an adjusted odds ratio (OR) of 2.26 (95%CI 1.25-4.07), TC to 1.72 (95%CI 1.23-2.42) and TC/TT to 1.81 (95% CI 1.31-2.50), while the rs2070803 GA genotype was associated with a decrease in risk to an adjusted OR of 0.42 (95% CI 0.28-0.62) and rs2070803 GA / AA to 0.46 (95% CI 0.32-0.67). Further stratiﬁcation analysis revealed that rs2294008 in PSCA consistently increased risk of both intestinal and diffuse-type gastric cancers. The effect of rs2070803 in MUC1 was noteworthily also consistent with both subtypes. Conclusions: Our study suggested rs2294008 in the PSCA gene to be associated with increased risk of gastric cancer and rs2070803 in MUC1 to play a protective role in a Chinese population.
Microalgae as an Eﬀicient Vehicle for the Production and Targeted Delivery of Therapeutic Glycoproteins against SARS-CoV-2 Variants

: Severe acute respiratory syndrome–Coronavirus 2 (SARS-CoV-2) can infect various human organs, including the respiratory, circulatory, nervous, and gastrointestinal ones. The virus is internalized into human cells by binding to the human angiotensin-converting enzyme 2 (ACE2) receptor through its spike protein (S-glycoprotein). As S-glycoprotein is required for the attachment and entry into the human target cells, it is the primary mediator of SARS-CoV-2 infectivity. Currently, this glycoprotein has received considerable attention as a key component for the development of antiviral vaccines or biologics against SARS-CoV-2. Moreover, since the ACE2 receptor constitutes the main entry route for the SARS-CoV-2 virus, its soluble form could be considered as a promising approach for the treatment of coronavirus disease 2019 infection (COVID-19). Both S-glycoprotein and ACE2 are highly glycosylated molecules containing 22 and 7 consensus N -glycosylation sites, respectively. The N -glycan structures attached to these speciﬁc sites are required for the folding, conformation, recycling, and biological activity of both glycoproteins. Thus far, recombinant S-glycoprotein and ACE2 have been produced primarily in mammalian cells, which is an expensive process. Therefore, beneﬁting from a cheaper cell-based biofactory would be a good value added to the development of cost-effective recombinant vaccines and biopharmaceuticals directed against COVID-19. To this end, efﬁcient protein synthesis machinery and the ability to properly impose post-translational modiﬁca-tions make microalgae an eco-friendly platform for the production of pharmaceutical glycoproteins. Notably, several microalgae (e.g., Chlamydomonas reinhardtii , Dunaliella bardawil , and Chlorella species) are already approved by the U.S. Food and Drug Administration (FDA) as safe human food. Because microalgal cells contain a rigid cell wall that could act as a natural encapsulation to protect the recombinant proteins from the aggressive environment of the stomach, this feature could be used for the rapid production and edible targeted delivery of S-glycoprotein and soluble ACE2 for the treatment/inhibition of SARS-CoV-2. Herein, we have reviewed the pathogenesis mechanism of SARS-CoV-2 and then highlighted the potential of microalgae for the treatment/inhibition of COVID-19 infection.
Industry practice platform based on work-based learning: Solutions to improve student competence

This study aims to (1) Develop a work-based learning-based industrial practicum platform; (2) Know the feasibility of a work-based learning-based industrial practicum platform; and (3) Know whether there is an effectiveness of student learning with a work-based learning-based industrial practicum platform. This type of research is Research and Development (R&D) with the Four-D model
DENDROGEOMORPHOLOGICAL EVIDENCE OF FLOOD EVENTS IN THE UPPER CATCHMENT OF THE NOGUERA PALLARESA RIVER (PYRENEES, SPAIN)

: Mountainous areas are prone to torrential floods that are characterized by their ability to mobilize large volumes of sediment and other materials such as large wood. In the case of the upper catchment of the Noguera Pallaresa River (Pyrenees of Lleida, Spain), the main destructive floods are well identified and their main parameters described, but the detailed spatial and temporal edge of these and other less severe events are still lacking. With the aim of extending the information on the effects of these floods, this work analyzes and compares different data sources, based on dendrogeomorphological sampling carried out in two tributaries of the Noguera Pallaresa River: the Flamisell River (on the right-hand margin) and the Romadriu River (on the left-hand margin). The dating of the main dendrogeomorphological indicators in both these tributaries, especially scars and abrupt growth changes, and also the estimated dates of tree establishment, are contrasted with data from the documentary, geomorphological, meteorological, and hydrological sources. It is verified that in these small and medium subcatchments, with very heterogeneous rainfall due to orography, the instrumental data (often very scarce) may not adequately reflect the hydrological dynamics. This work confirms that an analysis of the dendrogeomorphological and documentary sources is therefore essential to characterize and evaluate the incidence of these torrential floods in different territorial areas.
Multiscale modeling of heat and mass transfer in dry snow: influence of the condensation coefficient and comparison with experiments

Temperature gradient metamorphism in dry snow is driven by heat and water vapor transfer through snow, which includes conduction/diffusion processes in both air and ice phases as well as sublimation and deposition at the ice-air interface. The latter processes are driven by the condensation coefficient α , a poorly constrained parameter in literature. In the present paper, we use an upscaling method to derive heat and mass transfer models at the snow layer scale according to α in the range 10 − 10 to 1. A transition α -value arises, of the order of 10 − 4 for typical snow microstructures (characteristic length ∼ 0.5 mm), 5 such as the vapor transport is limited by sublimation-deposition below that value and by diffusion above. Accordingly, different macroscopic models with specific domains of validity with respect to α -values are derived. A comprehensive evaluation of the models is presented by comparing with three experimental datasets as well as with pore-scale simulations using a simplified microstructure. The models reproduce the two main features of the experiments: the non-linear temperature profiles, with enhanced values in the center of the snow layer, and the mass transfer, with an abrupt basal mass loss. However, both features 10 are overall underestimated by the models when compared to the experimental data. We investigate possible causes of these discrepancies and suggest potential improvements for the modeling of heat and mass transport in dry snow.
The Word-Formation Processes and Meanings of Compound Words in National Geographic Magazine Articles

This study examines compound words and their semantic relations and interprets the meanings of the newly coined compound words found in National Geographic magazine’s January to June 2019 issues. This study uses qualitative methods to analyze the data. It classifies compound words using Delahunty & Garvey’s theory (2010) into five types: compound noun (CN), compound verb (CV), compound adjective (CAdj), compound adverb (CAv), and neoclassical compound (NCC). It also analyzes the semantic relations of compound words. The results of the study show that 241 compound words were found. The most common type of compound words was compound nouns (59.75%), followed by neoclassical compounds (18.67%), compound adjectives (15.35%), compound verbs (4.98%), and the least common type is compound adverbs (1.24%). The study also shows that 70.54% of the compound words found belong to endocentric compounds, and the remaining 29.46% to exocentric compounds. In addition, six newly coined and theme-related compound words were found. The meanings of these newly coined compound words are not available in referenced dictionaries.
Hyperspectral and Multispectral Image Fusion via Bayesian Nonlocal CP Factorization

Recently, fusing low-resolution hyperspectral images (LR-HSIs) with high-resolution multispectral images (HR-MSIs) to obtain high-resolution HSI (HR-HSI) has become an emerging study. In this letter, Bayesian nonlocal canonical polyadic (CP) factorization (BNCPF) is proposed for fusing LR-HSI with HR-MSI, which applies CP factorization on the nonlocal tensors of HR-HSI. Compared with the vanilla scheme of applying CP factorization on HR-HSI, the nonlocal tensors reveal balanced low-rank properties along different modes, and thus CP factorization can better capture their intrinsic low-rankness. To avoid the immense CP-ranks selection on the nonlocal tensors, we develop a sparse Bayesian framework for automatic rank determination. For parameters estimation, we adopt the alternating direction method of multipliers (ADMMs) for the maximum a posteriori (MAP) estimator optimization. Experimental results verify the superiority and rank-robustness of the proposed method.
Geomorphology of the Ceyhan River lower plain (Adana Region, Turkey)

ABSTRACT We present a geomorphological map (Main Map) of the lower plain of the Ceyhan River (Adana province, Turkey). Data from three field campaigns and remote sensing observations were managed in a GIS to produce a 1:25,000 scale map. The area, mostly formed by alluvial sediments, is characterized by intense fluvial dynamics with superimposed agricultural activity. Erosional processes prevail on rocky ridges partially bordering the plain on the north-eastern side. The alluvial plain is flanked by large alluvial fans on its eastern side, whereas the western limit consists of a smoothed and undistinguishable watershed. Alluvial and deltaic deposits close to the river mouth are bordered southward by nested coastal dunes, lagoons, swamps and marshes punctuating the coastal belt. This area was an important historical site, as documented by evidence of settlements from the Neolithic. The map is a useful tool to support further archaeological research.