Miracle-dz/UniFAR-FTUs huggingface dataset:
Submillimeter Imaging of a Protocluster Region at z = 3.09

We have used the Submillimeter Common-User Bolometer Array (SCUBA) detector on the James Clerk Maxwell Telescope to measure bright submillimeter emission associated with a recently discovered extensive (>100 h-1 kpc) and highly luminous "blob" of Lyα emission at z = 3.09. The blob lies within a known large overdensity of optical sources in the z = 3.07-3.11 range and is centered on a locally overdense peak within this region. The best explanation for the copious submillimeter emission is a dust-obscured continuum source, which may produce the ionizing flux for the Lyα cloud. Cooling gas explanations are plausible but excessively complicated, and the 450/850 μm ratio rules out a significant fraction of the signal arising from the Sunyaev-Zeldovich increment. At least two additional ≃10 mJy submillimeter detections in the SCUBA map, with a surface density significantly higher than in blank-field surveys, suggest that they may be associated with the z = 3.09 structure. A SCUBA "photometry" observation of a second nearby Lyα blob tentatively detects a weaker submillimeter counterpart.
A Microbiological Survey of Ear Infections in Inhabitants of Erbil City

this study was carried out to indicate the number of infected individuals with ear infection from different genders and ages determine the antibiotic sociability for the ear swab bacterial isolates. A total of 82 ear swabs were obtained in Erbil City from various hospitals and labs. Males made up 48 (59%) of the 81 samples, while females made up 33 (41%). 0-10 years had the most bacteria isolated from ear swabs, followed by 11-20 years and then 21-40 years. Pseudomonas spp. were the most prevalent bacteria found in all of the swabs (43 percent). Pathogenic bacteria were found in 70% of the samples, while no growth was seen in 30% of the swabs. Many bacterial isolates were found to be sensitive to the antibiotic Amikacin, which was determined to have the best effect on 35 of them. Clotrimazole was shown to be the least effective antibiotic on numerous bacterial strains, with 19 being resistant.
Vitamin B12 Replacement Therapy After Gastrectomy

Mechanisms of vitamin B12 absorption has been known widely. The Mechanisms are classified into two mechanisms. One is passive, occurring equally through buccal, duodenal, and ileal mucosa; it is rapid but extremely inefficient, with <1% of an oral dose being absorbed by this process. The other one is active; it occurs through the ileum and is efficient for small oral dose of vitamin B12, and it is mediated be substance named gastric intrinsic factor. Intrinsic factor is produced in the gastric parietal cells of the fundus and body of the stomach. Between 0.5-5μg of cobalamin excreted with the bile each day. This binds to intrinsic factor, and a major portion of biliary cobalamin normally is reabsorbed together with cobalamin derived from sloughed intestinal cells. Because of the loss of these effective absorption and reabsorption mechanism, vitamin B12 deficiency develops more rapidly after gastrectomy [1,2].
Crop Yield Prediction Using Improved Extreme Learning Machine

ABSTRACT Crop yield prediction (CYP) is a critical challenge for decision-makers of any kind of levels, including regional and national decision-making. Farmers might use effective CYP model to help them determine what to cultivate or when to grow it. The primary aim of precision agriculture (PA) is to increase crop growth and yield thereby decreasing production costs and emissions. Various developmental factors influence potential yield, including soil properties, irrigation, weather, fertilizer maintenance, and topography. CYP is critical to worldwide agricultural production. To improve the global food security, policymakers depend on reliable forecasts to make timely exports and imports decision. The main aim of this paper is to predict the crop yield using machine-learning technique. The collected data are pre-processed using Kalman filter algorithm and then certain features are extracted using the Linear Discriminant Analysis (LDA). The CYP is done using the improved extreme learning machine (IELM). The output weight of the extreme learning machine is improved using the chimp optimization algorithm (COA). The implementation tool used in this method is PYTHON and the dataset used for the CYP is farm yield prediction. The experimental results showed an accuracy of 99.99% which is better when compared to existing methods.
Dynamic Load Prediction Model of Electric Bus Charging Based on WNN

Electric buses have a significant penetration rate and high charging frequency and amount. Therefore, their charging load has a momentous influence on the power grid’s operation and dispatch. There are important theoretical and practical reasons to study electric bus charging load prediction; however, the intermittent and random charging behavior of buses makes it more difficult to predict charging load predictions, particularly, in real time. To accomplish this, in this paper a WNN (wavelet neural network)-based dynamic load prediction model for charging electric buses is suggested. We start by using distance and shape to group the charging load curve which, in fact, is done with spectral clustering. As a second step, we take into account a wide range of charging load-affecting variables such as temperature and time of day, in order to better train the WNN. Moreover, the charge loads for each cluster are predicted based on model parameters; subsequently, the forecast day’s total charging load is then calculated by summing the prediction results for each cluster; finally, the proposed method is validated using a real city data set. In our empirical evaluation, it has been found that, under various indicators, the proposed method’s ability to precisely forecast the charging load of electric vehicles has significantly improved. In fact, this allows for better guidance of charging user, planning, and expanding the power grid in consideration of electric vehicle charging loads.
Contributions à la recherche en calcul scientifique haute performance pour les matrices creuses

Nous nous interessons au developpement d'un nouvel algorithme pour estimer la norme d'une matrice de maniere incrementale, a l'implantation d'un modele de reference des Basic Linear Algebra Subprograms for sparse matrices (Sparse BLAS), et a la realisation d'un nouveau gestionnaire de tâches pour MUMPS, un solveur multifrontal pour des architectures a memoire distribuee. Notre methode pour estimer la norme d'une matrice s'applique aux matrices denses et creuses. Elle peut s'averer utile dans le cadre des factorisations QR, Cholesky, ou LU. Le standard Sparse BLAS definit des interfaces generiques. Nous avons ete amenes a repondre aux questions concernant la representation et la gestion des donnees. Le sequencement de tâches devient un enjeu important des que nous travaillons sur un grand nombre de processeurs. Grâce a notre nouvelle approche, nous pouvons ameliorer le passage a l'echelle du solveur MUMPS.
Infrastructure Technology for Cloud Services

The application of a new information and communications technology (ICT) model called cloud computing is finally moving into a full-scale deployment phase in the corporate world as a new business infrastructure and in diverse fields such as primary industry, medical care, and nursing to improve productivity. To expand use of the “cloud,” that is, to dispel worries about using cloud computing, Fujitsu came to reevaluate, redesign, and redevelop its cloud infrastructure technology from the architecture level to achieve a higher dimension in both convenience and reliability. These efforts led to the launching in October 2010 of a commercialized cloud service called “On-demand Virtual System Service” (now known as the “Fujitsu Global Cloud Platform ‘FGCP/S5’” service in Japan and as the “Global Cloud Platform [GCP]” service globally). This “Made in Fujitsu” infrastructure technology is being expanded to data centers in six countries including Japan to promote the provision of cloud services on a global scale. This paper introduces Fujitsu’s cloud infrastructure technology and the global expansion of Fujitsu cloud services.
A 50 dB high-gain operational amplifier integrated with metal-oxide TFTs

This paper presents a 50 dB high-gain operational amplifier (OPAMP), which is fabricated by unipolar n-type indium–zinc–oxide thin-film transistors. Different positive feedback technologies are employed to achieve sufficient voltage gain. The fabricated OPAMP exhibits an open-loop voltage gain (A v) of 50 dB over a −3 dB bandwidth of 15 kHz at the supply voltage of 20 V. The measured unity-gain frequency (f UG) and the DC power consumption are 500 kHz and 8.07 mW, respectively. In addition, an effective frequency compensation scheme is also introduced and simulated. The simulation results that the proposed OPAMP has a voltage gain of 50 dB with 60° phase margin at 150 kHz unity-gain frequency after compensation.
CXCR4+ Sorted Adipose-Derived Stem Cells Enhance Their Functional Benefits and Improve Cardiac Function after Myocardial Infarction

Objective The homing of adipose-derived stem cells (ASCs) to infarcted myocardium, which is important for improved cardiac function, has been investigated previously, but with poor efficiency. Substantial improvements in engraftments are required to optimize ASC treatment. Stromal derived factor-1α (SDF-1α) is upregulated early after MI, and its endogenous receptor, chemokine receptor 4 (CXCR4), is pivotal in stem cell survival, migration, and engraftment. We examined whether CXCR4+ ASCs enhance their efficacy of migration and engraftment posttransplantation and improve heart function following myocardial infarction (MI). Methods and Results CXCR4+ ASC subpopulations were sorted by fluorescence-activated cell sorting. CXCR4+ sorted ASCs exhibited the stronger cell viability, the faster proliferation rate, and the better migration capability in comparison with unfractionated ASCs. CXCR4+ sorted ASCs secreted a higher level of angiogenic growth factors including VEGF, HGF, and IGF-1 relative to unfractionated ASCs. Fewer apoptotic cells under oxygen-glucose deprivation were detected in CXCR4+ sorted ASCs than in unfractionated ASCs. Osteogenic and angiogenic differentiation were more pronounced in CXCR4+ sorted ASCs than in unfractionated ASCs. At 3 days after acute MI, rats were randomly allocated to receive intramyocardial injection of cell culture medium, CXCR4+ sorted ASCs, and unfractionated ASCs. Left ventricular function was assessed echocardiographically 4 weeks thereafter. Explanted hearts were then processed for the immunofluorescence detection of survived cells, quantification of angiogenesis, and cell engraftment. CXCR4+ sorted ASCs more obviously engrafted into infarcted myocardium, more markedly inhibited collagen remodeling, and more effectively improved heart function and promoted capillary formation than did unfractionated ASCs. Conclusion CXCR4+ sorted ASCs are superior to unfractionated ASCs due to better viability, faster proliferation, more cytokine secretion, and stronger migration. CXCR4+ sorted ASCs provide better curative benefits on MI than do unfractionated ASCs and can be efficiently harvested and purified from adipose tissue, they may serve as a promising candidate for MI.
Ultra‐high frequency ultrasound detection of the dermo‐epidermal junction: Its potential role in dermatology

Traditional high‐frequency ultrasound (HFUS; 20 MHz) is a non‐invasive method used to study skin in vivo but is not able to measure skin thickness accurately and to identify the dermal‐epidermal junction (DEJ). Ultra‐high frequency ultrasound (UHFUS; 70–100 MHz) has sub‐millimetre resolution comparable to histology. The aim of this study was to identify, by UHFUS, the DEJ and to describe skin differences in healthy individuals by providing a measure of skin thickness, based on age and gender. We also described the bullous pemphigoid lesion. We enrolled 42 patients divided into 2 groups: A and B. Group A included 32 healthy volunteers aged 22–74 years. Group B consisted of 10 patients with bullous pemphigoid. For each patient in group A, 8 ultrasound (US) clips by 70 MHz probe were performed at forehead, cheek, nose, forearm, abdomen, chest, back and leg. For each patient in group B, 5 US images were acquired at blisters roofs and edges. In each US image, we measured thickness of stratum corneum (α‐β), epidermis (α‐γ) and epidermis plus dermis (α‐δ). In both groups, we found the presence of 4 lines delimiting: the stratum corneum (the layer between α‐line and β‐line), the epidermis (distance between α‐ and γ‐line), and the boundary between dermis and subcutis (δ‐line). The γ‐line corresponds to the point of detachment of the bullae. The abdominal α‐β layer was thicker in males (p = 0.019) and α‐δ thickness at cheeks (p < 0.001), chest (p = 0.007), back (p = 0.025) and forearm (p < 0.001). In females, α‐γ thickness of the back was greater (p = 0.005). In old people compared to young, we noticed an increase of α‐β layer at forehead and chest (p = 0.014), an increase of α‐γ layer at forearm (p = 0.001), back (p = 0.024) and leg (p = 0.010) and an increase of α‐δ layer at forehead (p = 0.001) and nose (p = 0.049). UHFUS is an advanced imaging technique that can detect both the DEJ and the boundary between dermis and subcutaneous tissue so that epidermal and dermal thickness can be measured with good accuracy. Regarding gender and age, skin differences obtained with UHFUS were comparable to other non‐invasive methods.
Inverted T-Shaped DGS loaded nearly square microstrip patch antenna for wireless applications

ABSTRACT This research presents an inverted ‘T’-shaped Defected Ground Structure (DGS)-loaded single feed circularly polarised nearly square microstrip patch antenna for wireless communication applications. The proposed antenna structure uses an inverted ‘T’-shaped DGS and exhibits an overall impedance (S11< −10 dB) of 665 MHz (12%) and an axial ratio bandwidth of 140 MHz (2.61%) with right-hand circular polarisation having a gain of 3.91 dBi. The proposed antenna is designed, simulated and fabricated using the FR4 substrate. The electrical size of the designed microstrip patch antenna is 0. 238λ × 0. 216λ. Using an inverted ‘T’-shaped DGS, the antenna size has been reduced by 13.8%. The detailed design and analysis of the proposed broadband circularly polarised microstrip patch antenna are discussed and presented. The fabricated antenna is tested, and the measured impedance bandwidth is 557 MHz (10%). The measured results are in good agreement with simulated results, and the proposed antenna can be suitable for WLAN, Wi-MAX and Hyper LAN applications.
The macro determinants of the drop in Pakistan’s long run GDP growth

This paper attempts to address the long-run determinants of trend GDP growth in Pakistan for the years 1973 to 2017. The theoretical framework chosen has been the Keynesian general equilibrium framework of aggregate demand, decomposed into the macro aggregates of consumption, investment, government expenditures, exports and imports (Keynes, 1937). The analytical strategy we have used is to establish first whether there has been a discrete drop in GDP growth at any particular break date. Establishing a break date allows us to define two periods of GDP growth, a higher growth period, followed by a lower growth period. The determinants of GDP growth can then be established, by looking for correlated changes in their behavior between the two time periods. Our findings suggest that high GDP growth in the first phase, pre-1992, is explained by high investment growth. Paired with a Marginal Propensity to Consume in this phase which is low. Making this high GDP growth phase investment led. Low GDP growth in the second phase, post-1992, is now explained by low investment growth. Paired with a Marginal Propensity to Consume, in this phase which is higher. Making this phase consumption-led.
Reversible hydrogen storage capacity of Li and Sc doped novel C8N8 cage: Insights from density functional theory

In this work, we designed and addressed the hydrogen storage capacities of Li and Sc doped novel C8N8 cages using dispersion corrected density functional theory (DFT‐D3). The stabilities of C8N8Li2 and C8N8Sc2 cages were confirmed by chemical hardness, HOMO‐LUMO gaps, and molecular dynamic simulations. Both C8N8Li2 and C8N8Sc2 could adsorb 5H2 molecules with an average hydrogen adsorption energy of 0.187 and 0.291 eV/H2, keeping the original structure intact. The H2 molecules interacted with the Li/Sc via Niu‐Rao‐Jena and Kubas type interactions, and the charge re‐distribution in H2 molecules in C8N8Li2‐nH2 and C8N8Sc2‐nH2 showed that H2 molecules were adsorbed in a quasi‐molecular fashion. The molecular dynamics simulation revealed the thermal stability and structural integrity of Li and Sc decorated C8N8 cages at a relatively high temperature of 400 K, and at 300 K most of the H2 molecules were desorbed from the host material, keeping their initial structure intact, which confirmed their reversibility. The practical H2 storage capacities of C8N8Li2 and C8N8Sc2 cages at temperature and pressure ranges of 40 to 160 K, 40 to 180 K, and 10 to 60 bar were found to be 8.32 wt%, and 6.33 wt%, which were fairly above the target of US‐DOE (5.5 wt% by 2025). At the temperature and pressure range of 220 to 280 K and 30 to 60 bar, the gravimetric density of both the cages was approximately 5.5 wt%. Hence, the newly designed C8N8Li2 and C8N8Sc2 cages can be considered as potential candidates for reversible hydrogen storage systems.
RISKS SOURCES AND MITIGATION STRATEGIES IN POULTRY (EGG) PRODUCTION IN THE AGRARIAN COMMUNITIES OF LAGOS STATE, NIGERIA

Poultry farming provides rich source of animal protein and contributes significantly to food security among Nigeria households. However, the poultry sector is largely vulnerable to risk conditions, ranging from natural events, climate disturbances, and human lapses resulting in tumultuous performances of the poultry enterprise. This study was carried out in the agrarian suburb of Lagos State, Nigeria to determine the dominant risk sources in the poultry egg sector, and the determinants of mitigation strategy adoption among egg farmers. Primary data were obtained in a crosssectional survey of 125 poultry egg farmers drawn by multi-stage random sampling across major communities in the study area, and were analysed by both descriptive and quantitative techniques. A risk behavioural model (RBM) was used to estimate the determinants of farmers’ adoption of specific mitigation strategies. From the findings, 62% of the respondents were male, married (64%), formally educated (74%), and of mean age and household size 40 ± 15 years and 4 ± 2 persons, respectively. Average farmer’s flock size was 524 ± 327 layers, 6 ± 5 average years of farming experience, and average gross income of N1,490,000/production cycle. The identified risk factors (response scores and survival propensities in parentheses) were; disease epidemic shocks (1.82, 44.67%); egg glut shocks (1.85, 39%); adverse weather shocks (2.01, 53%); and input price instability shocks (2.21, 60%). Identified lead risk mitigation strategies were strict adherence to routine vaccination regime; advance egg sales arrangement; proper timing/frequency of bird stocking, and advance/wholesale inputs purchase arrangements. Findings from the study established that medically disenfranchised (2.974; p<0.01) and non-remotely located farms (1.682 p><0.1) had higher propensity for routine vaccination/drugs administration to mitigate disease outbreak. Likewise, experienced farmers (2.780; p><0.01) operating farms with less capital-based assets (2.655; p><0.01) would more likely adopt advance sales arrangement to mitigate egg glut shock. With better human skills development (2.173; p><0.05), poultry farmers would likely engage proper timing for birds stocking to mitigate the effect of adverse weather condition on their farms. To enhance farmers’ timely access to major inputs (feeds, drugs and stocks) for a sustainable poultry egg industry in the study area, localisation of farms within policy-regulated areas and proximity to input supply firms were recommended.
Topics in Modelling of Clustered Data

INTRODUCTION Correlated Data Settings Developmental Toxicity Studies Complex Surveys Other Relevant Settings Reading Guide MOTIVATING EXAMPLES National Toxicology Program Data Heatshock Studies Belgian Health Interview Survey POPS Data Low-Iron Rat Teratology Data The Wisconsin Diabetes Study Congenital Ophthalmic Defects A Developmental Toxicology Study ISSUES IN MODELING CLUSTERED DATA Choosing a Model Family Joint Continuous and Discrete Outcomes Likelihood Misspecification and Alternative Methods Risk Assessment MODEL FAMILIES Marginal Models Conditional Models Cluster-Specific Models GENERALIZED ESTIMATING EQUATIONS General Theory Clustered Binary Data PSEUDO-LIKELIHOOD ESTIMATION Pseudo-Likelihood: Definition and Asymptotic Properties Relative Efficiency of PL versus ML Pseudo-Likelihood and Generalized Estimating Equations PSEUDO-LIKELIHOOD INFERENCE Test Statistics Simulation Results Illustration: EG Data FLEXIBLE POLYNOMIAL MODELS Fractional Polynomial Models Local Polynomial Models Other Flexible Polynomial Methods and Extensions ASSESSING THE FIT OF A MODEL A Hosmer-Lemeshow Approach for Likelihood Based Models Order Selection Tests Data-Driven Tests in Multiple Regression Testing Goodness of Fit QUANTITATIVE RISK ASSESSMENT Expressing Risks Analysis of NTP Data Asymptotic Study Concluding Remarks MODEL MISSPECIFICATION Implications of Misspecification on Dase Effect Assessment A Robust Bootstrap Procedure Implications of Misspecification on Safe Dose Determination A Profile Score Approach EXACT DOSE-RESPONSE INFERENCE Exact Nonparametric Dose-Response Inference Simulation Study Concluding Remarks INDIVIDUAL LEVEL COVARIATES Cluster-Specific Models Population-Averaged Models Efficiency of Modeling Approaches Analysis of Heatshock Data Continuous Outcomes Concluding Remarks COMBINED CONTINUOUS AND DISCRETE OUTCOMES Models for Bivariate Data of a Mixed Nature Application to Quantitative Risk Assessment Discussion MULTILEVEL MODELING OF COMPLEX SURVEY DATA Multilevel Models Application to the HIS Concluding Remarks APPENDIX: BAHADUR PARAMETER SPACE REFERENCES INDEX
The Research of Oil Pipeline Patrol by UAV in the First Sub-Factory of PCOC

The main body of PCOC (Petrochina Changqing Oilfield Company) is in the Ordos Basin, exploration with a total area of about 37 square kilometers, and whose exploration area is highly fragmented. The situation of the pipeline rupture emerge in endlessly as the result of natural conditions and human factors each year. The first sub-factory of PCOC is located in the Yishan Slope of the Ordos Basin in Yan'an, all of the region is hilly gully region, most of the oil pipeline is laying along the topography, which is difficult for labor patrol, UAV patrol is still in stage of testing. The STX-100 four rotor industrial-grade UAV has good performance, suitable for complex area of oil pipeline patrol work, can effectively relieve the staff.