Miracle-dz/UniFAR-FTUs huggingface dataset:
IMPACT OF BROKEN HOMES ON MATHEMATICS STUDENTS ACADEMIC ACHIEVEMENT IN SENIOR SECONDARY SCHOOLS IN NASSARAWA ZONAL EDUCATION AREA, KANO STATE – NIGERIA

This study was carried out to determine the impact of broken homes on mathematics students’ academic achievement in senior secondary schools in nassarawa zonal education area, kano state. A sample of 349 out of a population of 21,403 students from 24 schools was randomly drawn. A survey research design was used. A researcher constructed questionnaire was used after being validated and subjected to a pilot trial. A reliability cofficient of r=0.86 was obtained while two psychology and one English language specialists validated the questionnaire. In addition to the questionnaire, the students’ 2nd year third term senior secondary school examination mathematics results were used. Three hypotheses treating whether or not a significant difference exist between students from stable and broken homes, male and female students from broken homes as well as students from broken high and low income were formulated. The t-test analysis showed students from stable homes perform significantly better than those from broken homes with no significant difference in achievement between male and female students from broken home but there is a significant difference in academic achievement between students from high and low home. It was recommended that teaching of family ethics should be emphasized in schools.
TCRM_A_192922 323..345

Thomas El Jammal Yvan Jamilloux 1 Mathieu Gerfaud-Valentin Dominique Valeyre Pascal Sève 1Department of Internal Medicine, Lyon University Hospital, Lyon, France; 2Department of Pneumology, Assistance Publique Hôpitaux de Paris, Hôpital Avicenne et Université Paris 13, Sorbonne Paris Cité, Bobigny, France; 3Hospices Civils de Lyon, Pôle IMER, Lyon, F-69003, France, University Claude Bernard Lyon 1, HESPER EA 7425, Lyon F-69008, France Abstract: Sarcoidosis is a multi-system disease of unknown etiology characterized by granuloma formation in various organs (especially lung and mediastinohilar lymph nodes). In more than half of patients, the disease resolves spontaneously. When indicated, it usually responds to corticosteroids, the first-line treatment, but some patients may not respond or tolerate them. An absence of treatment response is rare and urges for verifying the absence of a diagnosis error, the good adherence of the treatment, the presence of active lesions susceptible to respond since fibrotic lesions are irreversible. That is when second-line treatments, immunosuppressants (methotrexate, leflunomide, azathioprine, mycophenolate mofetil, hydroxychloroquine), should be considered. Methotrexate is the only first-line immunosuppressant validated by a randomized controlled trial. Refractory sarcoidosis is not yet a well-defined condition, but it remains a real challenge for the physicians. Herein, we considered refractory sarcoidosis as a disease in which second-line treatments are not sufficient to achieve satisfying disease control or satisfying corticosteroids tapering. Tumor necrosis alpha inhibitors, third-line treatments, have been validated through randomized controlled trials. There are currently no guidelines or recommendations regarding refractory sarcoidosis. Moreover, criteria defining non-response to treatment need to be clearly specified. The delay to achieve response to organ involvement and drugs also should be defined. In the past ten years, the efficacy of several immunosuppressants beforehand used in other autoimmune or inflammatory diseases was reported in refractory cases series. Among them, anti-CD20 antibodies (rituximab), repository corticotrophin injection, and anti-JAK therapy anti-interleukin-6 receptor monoclonal antibody (tocilizumab) were the main reported. Unfortunately, no clinical trial is available to validate their use in the case of sarcoidosis. Currently, other immunosuppressants such as JAK inhibitors are on trial to assess their efficacy in sarcoidosis. In this review, we propose to summarize the state of the art regarding the use of immunosuppressants and their management in the case of refractory or multidrugresistant sarcoidosis.
Performance of the Adriatic Sea and Coast (AdriSC) climate component – a COAWST V3.3-based coupled atmosphere-ocean modelling suite: ocean part

Abstract. In this study, the Adriatic Sea and Coast (AdriSC) kilometre-scale atmosphere-ocean climate model covering the Adriatic and northern Ionian Seas is presented. The AdriSC ocean results of a 31-year long (i.e. 1987–2017) climate simulation, derived with the Regional Ocean Modeling System (ROMS) 3-km and 1-km models, are evaluated with respect to a comprehensive collection of remote-sensing and in situ observational data. In general, it is found that the AdriSC model is capable to reproduce the observed sea-surface properties, daily temperatures and salinities and the hourly ocean currents with good accuracy. In particular, the AdriSC ROMS 3-km model demonstrates skill in reproducing the main variabilities of the sea-surface height as well as the sea-surface temperature, despite a persistent negative bias within the Adriatic Sea. Furthermore, the AdriSC ROMS 1-km model is found to be more capable to reproduce the observed thermohaline and dynamical properties than the AdriSC ROMS 3-km model. For the temperature and salinity, better results are obtained in the deeper parts than in the shallow shelf and coastal parts, particularly for the surface layer of the Adriatic Sea. The AdriSC ROMS 1-km model is also found to perform well in reproducing the seasonal thermohaline properties of the water masses over the entire Adriatic-Ionian domain. The evaluation of the modelled ocean currents revealed better results at locations along the eastern coast and especially the north-eastern shelf than in the middle-eastern coastal area and the deepest part of the Adriatic Sea. Finally, the AdriSC climate component is found to be a more suitable modelling framework to study the dense water formation and long-term thermohaline circulation of the Adriatic-Ionian basin than the available Mediterranean regional climate models.
COPD_A_233441 691..700

1Department of Nursing, Dalin Tzuchi Hospital, The Buddhist Tzuchi Medical Foundation, Chiayi 62247, Taiwan; 2Rehabilitation Counseling Program, Portland State University, Portland, OR 97207-0751, USA; 3Department of Chinese Medicine, Dalin Tzuchi Hospital, The Buddhist Tzuchi Medical Foundation, Chiayi 62247, Taiwan; 4Division of Allergy, Immunology and Rheumatology, Dalin Tzuchi Hospital, The Buddhist Tzuchi Medical Foundation, Chiayi 62247, Taiwan; 5School of Medicine, Tzu Chi University, Hualien 97004, Taiwan; 6Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, Tainan 70428, Taiwan; 7Department of Nursing, Tzu Chi University of Science and Technology, Hualien 62247, Taiwan; 8Department of Medical Research, Dalin Tzuchi Hospital, The Buddhist Tzuchi Medical Foundation, Chiayi 62247, Taiwan
Coverage and effectiveness of intermittent preventive treatment of malaria with Sulfadoxine-Pyrimethamine during pregnancy in six sentinels’ sites of Côte d’Ivoire

Maludology Unit, Institut Pasteur de Côte d'Ivoire. Institut Pierre Richet / National Malaria Control Program Côte d'Ivoire. Department of Parasitology Mycology UFR Pharmaceutical and Biological Sciences, University Felix Houphouet Boigny, Côte d'Ivoire. Infectious Diseases Services UFR Medical Sciences, Allassane Ouattara University, Côte d'Ivoire. Department of Parasitology Mycology UFR Medical Sciences, Allassane Ouattara University, Côte d'Ivoire. GSA National Malaria Control Program, Côte d'Ivoire.
COMPARATIVE STUDY ON EFFECT OF TURMERIC POWDER, PROBIOTIC AND PREBIOTIC SUPPLEMENTATION ON BROILER PERFORMANCE AND IMMUNITY

Emerging role of Probiotic, Prebiotic and herbal additives in poultry industry should be considered to overcome abuse of antibiotics. The present research accomplished to scrutinize effectiveness of Curcumin, Probiotic and Prebiotic in broilers productivity. Body weight/gain, feed intake, conversion efficacy, hematological analysis and immune-assay were evaluated. 150 chicks were divided into 5 groups, 3 supplemented separately with the mentioned additives in the feed for 5 weeks and the left were fed on basal diet without additives, 4 groups were vaccinated against avian influenza and infectious bursitis. Results exhibited that Curcumin Probiotic and Prebiotic boosted body gain significantly (p<0.05), at the end of the study 1948.83g, 1950.83g and 1914.03g, respectively, comparing with control 1750.60g and 1772.20g for vaccinated group. Curcumin and Probiotic supplemented groups presented higher packed cell volume (34.09%, 34.08%), red blood cells count (2.49 10 6 /μl, 2.50 10 6 /μl), white blood cells count (31.95 10 3 /μl, 31.91 10 3 /μl) and hemoglobin (8.78g/dl, 8.78g/dl) than Prebiotic (32.69%, 2.40 10 6 /μl, 31.45 10 3 /μl, 8.48dl) and other groups at 3 weeks old. Moreover, ELISA showed that both Curcumin and Probiotic statistically had highest antibody titer for avian influenza (1606.30 and 1592.83), while probiotic had the highest titer 2374.73 for infectious bursitis. Results of current study concluded that the inclusion of Curcumin, Probiotic and Prebiotic not only advanced performance parameters but also improved hematological indices and immunological reaction of broilers. It is advisable to evaluate the cost efficacy to compromise these results.
Learning in a Post-Truth World

Misinformation has emerged as a major societal challenge in the wake of the 2016 U.S. elections, Brexit, and the COVID-19 pandemic. One of the most active areas of inquiry into misinformation examines how the cognitive sophistication of people impacts their ability to fall for misleading content. In this paper, we capture sophistication by studying how misinformation affects the two canonical models of the social learning literature: sophisticated (Bayesian) and naive (DeGroot) learning. We show that sophisticated agents can be more likely to fall for misinformation. Our model helps explain several experimental and empirical facts from cognitive science, psychology, and the social sciences. It also shows that the intuitions developed in a vast social learning literature should be approached with caution when making policy decisions in the presence of misinformation. We conclude by discussing the relationship between misinformation and increased partisanship and provide an example of how our model can inform the actions of policymakers trying to contain the spread of misinformation. This paper was accepted by Omar Besbes, revenue management and market analytics.
Application of Bamboo Plants in Nine Aspects

Bamboo forests are undoubtedly one of the most abundant nontimber plants on Earth and cover a wide area of tropical and subtropical regions around the world. (is amazing plant has unique rapid growth and can play an important role in protecting our planet from pollution and improving the soil. Bamboo can be used as a biofuel, food, and for architecture and construction applications and plays a large role in the local economy by creating job opportunities. (e aim of this paper is to review the extraordinary tropical plant bamboo by explaining the mechanisms related to the growth and strength of bamboo and identifying ways to utilize bamboo in industry, employment, climate change mitigation, and soil erosion reduction.
A Novel Bacteriophage Exclusion (BREX) System Encoded by the <italic toggle='yes'>pglX</italic> Gene in <named-content content-type='genus-species'>Lactobacillus casei</named-content> Zhang

The bacteriophage exclusion (BREX) system is a novel prokaryotic defense system against bacteriophages. To our knowledge, no study has systematically characterized the function of the BREX system in lactic acid bacteria. Lactobacillus casei Zhang is a probiotic bacterium originating from koumiss. By using singlemolecule real-time sequencing, we previously identified N6-methyladenine (m6A) signatures in the genome of L. casei Zhang and a putative methyltransferase (MTase), namely, pglX. This work further analyzed the genomic locus near the pglX gene and identified it as a component of the BREX system. To decipher the biological role of pglX, an L. casei Zhang pglX mutant (ΔpglX) was constructed. Interestingly, m6A methylation of the 5=-ACRCAG-3= motif was eliminated in the ΔpglX mutant. The wild-type and mutant strains exhibited no significant difference in morphology or growth performance in de Man-Rogosa-Sharpe (MRS) medium. A significantly higher plasmid acquisition capacity was observed for the ΔpglX mutant than for the wild type if the transformed plasmids contained pglX recognition sites (i.e., 5=-ACRCAG3=). In contrast, no significant difference was observed in plasmid transformation efficiency between the two strains when plasmids lacking pglX recognition sites were tested. Moreover, the ΔpglX mutant had a lower capacity to retain the plasmids than the wild type, suggesting a decrease in genetic stability. Since the Rebase database predicted that the L. casei PglX protein was bifunctional, as both an MTase and a restriction endonuclease, the PglX protein was heterologously expressed and purified but failed to show restriction endonuclease activity. Taken together, the results show that the L. casei Zhang pglX gene is a functional adenine MTase that belongs to the BREX system. IMPORTANCE Lactobacillus casei Zhang is a probiotic that confers beneficial effects on the host, and it is thus increasingly used in the dairy industry. The possession of an effective bacterial immune system that can defend against invasion of phages and exogenous DNA is a desirable feature for industrial bacterial strains. The bacteriophage exclusion (BREX) system is a recently described phage resistance system in prokaryotes. This work confirmed the function of the BREX system in L. casei and that the methyltransferase (pglX) is an indispensable part of the system. Overall, our study characterizes a BREX system component gene in lactic acid bacteria.
Impact of Pressure on the Resonant Bonding in Chalcogenides

Resonant bonding has been appreciated as an important feature in some chalcogenides. The establishment of resonant bonding can significantly delocalize the electrons and shrink the band gap, leading to low electrical resistivity and soft optical phonons. Many materials that exhibit this bonding mechanism have applications in phase-change memory and thermoelectric devices. Resonant bonding can be tuned by various means, including thermal excitations and changes in composition. In this work, we manipulate it by applying large hydrostatic-like pressure. Synchrotron X-ray diffraction and density functional theory reveal that the orthorhombic lattice of GeSe appears to become more symmetric and the Born effective charge has significantly increased at high pressure, indicating that resonant bonding has been established in this material. In contrast, the resonant bonding is partially weakened in PbSe at high pressure due to the discontinuity of chemical bonds along a certain lattice direction. By controlling res.
Turning a Quantum Computer into a Time Crystal

T oday’s quantum computers are far from ideal—they have only a few dozen quantum bits, and these “qubits” are noisy, prone to random errors that can’t be corrected. However, a team of researchers has now shown that such “noisy intermediate-scale quantum” (NISQ) devices can nevertheless be used to simulate a complex type of quantum behavior. They show theoretically that an NISQ device like Google’s Sycamore quantum computer can be used to simulate an object called a discrete time crystal, whose components undergo spontaneous collective oscillations [1]. In a separate paper the researchers collaborate with the Google team to put their approach into practice on Sycamore [2]. Another team has also recently reported a similar quantum simulation enacted using qubits of a different type [3].
Better than antibiotics. Public understandings of risk, human health and the use of synthetically obtained livestock vaccines in five European countries

Drawing upon data collected within 20 focus groups with consumers from five European countries, in this article we investigate how perceptions of human health risk and current anxieties regarding agricultural food production affect citizens’ acceptance of the use of an emerging biotechnology, synthetic biology, in the development of vaccines for animals bred for food production. In focus group discussions in Austria, the UK, Poland and Denmark, participants tended to value the positive potential of synthetic vaccines if they could solve existing problems. Participants argued that the technology could be beneficial for animal welfare and was a potential solution to the problem of risks to human health posed by the use of antibiotics on livestock. The perceived drawbacks of antibiotic use affected the discussions towards acceptance of synthetic biology and the use of vaccines in meat production despite concerns over the potential risks. The participants from Spain stood out in that their acceptance of the synthetic vaccine appeared to be disconnected from concerns about risks related to the use of antibiotics. Participants from all countries found the vaccine to have potential uses, but also expressed concerns about health risks for consumers. In general consumers were perceived as those bearing the heaviest burden of risk, while pharmaceutical companies were perceived as likely to benefit most from production of the vaccine. We found that institutional trust and national contexts of (dis)engagement with science influenced the participants’ understandings of the degree to which the synthetic livestock vaccine had a fair risk-benefit balance.
New correlation to predict the onset of flow instability (OFI) heat flux of one-side heated hypervapotron channel for fusion reactor application

In this study, the onset of flow instability (OFI) of the hypervapotron channel was experimentally explored under one-side high heat load conditions. The OFI was detected based on the heat flux ( q″ ) where the standard deviation of the inlet pressure rapidly increased. Moreover, the effect of the system parameters was analyzed, showing that the OFI q″ increased as the inset subcooling and mass flow rate increased. The reason is the high subcooling and flow rate that rapidly condense the vapor, which is the leading cause of OFI. Unfortunately, because most of the OFI correlations in previous studies were developed based on micro-channels, these correlations could not predict the hypervapotron OFI q″ properly under one-side high heat load conditions. Finally, the authors found that the Reynolds number and Jakob number were inversely proportional to the ratio of the OFI heat flux ( qOFI″ ) and saturation heat flux ( qsat″ ). Furthermore, a new correlation was developed using a PYTHON code and an artificial intelligence technique (mean absolute error rate = 12.89%, root mean square error rate = 14.81%).
Characterization of Microstructure Variations by Laser-Ultrasound during and after the Heat Treatment of Metals

We demonstrate the potential of laser ultrasound for non-destructive testing applications in steel production and processing in two use cases: (1) Imaging of the grain structure transition between the thermally hardened surface and the unaffected core material with a comparison to sectional views by an optical microscope. We found very good correlation between the laser ultrasonic image and the microscopic view at the cross section. (2) In situ monitoring of Poisson’s ratio of steel sheets during thermal processes by evaluation of resonant frequencies of Lamb waves. In our ongoing research the results will be correlated to metallurgical properties of interest.
Temporally resolved reconstruction of sweeping jet flow field based on sub-Nyquist-rate PIV data

Sweeping jets can produce kHz frequency actuation for effective flow control. However, high-frequency flow dynamics poses a challenge for the temporal resolution of particle image velocimetry (PIV) measurements. In this article, two methods for reconstructing the temporally resolved flow fields of sweeping jets from sub-Nyquist-rate PIV data, namely least squares (LS) regression and compressive sensing (CS) reconstructions, are proposed and compared. In both methods, proper orthogonal decomposition (POD) is first conducted to reduce the dimensionality of the data by acquiring the spatial modes and the corresponding sub-Nyquist-rate coefficients. For LS regression reconstruction, high-frequency data obtained from pointwise measurement (hotwires) are used to estimate the temporally resolved POD coefficients. For the CS method, the temporally resolved coefficients are calculated by solving a basic pursuit problem based on the sub-Nyquist coefficients. Together with spatial modes, the temporal sweeping jet flow fields can be reconstructed. The performance of LS regression in reproducing the ground truth is highly sensitive to the number of pointwise probes and has a high error rate. In comparison, the CS method can provide more accurate reconstruction with an error rate below 3% without the need for pointwise measurements.
Tool wear estimation using a CNN-transformer model with semi-supervised learning

In the machining industry, tool wear has a great influence on machining efficiency, product quality, and production costs. To achieve accurate tool wear estimation, a novel CNN-transformer neural network (CTNN) model is proposed in this paper. In the CTNN model, the transformer model and convolutional neural networks (CNN) are used to process condition monitoring (CM) data in parallel, such as cutting force. The motivations are as follows. For one thing, both the transformer model and CNN can extract useful temporal features from CM data, and the learned temporal features by these two parts are fused to achieve accurate tool wear estimation. For another, CNN contributes to enhancing the transformer’s ability to capture the sequence order. In addition, data noise introduces the aleatoric uncertainty to the estimation results. To quantify the aleatoric uncertainty, a negative log-likelihood loss function is employed to enable the model to output the probabilistic distribution associated with tool wear. In such cases, the model outputs both the tool wear and variance, and the variance is learned within the model in an unsupervised manner. Finally, the effectiveness and superiority of the proposed method are validated on a public milling dataset. It is found by experiments that both the transformer model and CNN play important roles in tool wear estimation, and better performance can be obtained when they are used in parallel. In summary, the experimental results suggest that the proposed model can obtain promising results in tool wear estimation.