Miracle-dz/UniFAR-FTUs huggingface dataset:
Searching for “Defect-Tolerant” Photovoltaic Materials: Combined Theoretical and Experimental Screening

Recently, we and others have proposed screening criteria for “defect-tolerant” photovoltaic (PV) absorbers, identifying several classes of semiconducting compounds with electronic structures similar to those of hybrid lead–halide perovskites. In this work, we reflect on the accuracy and prospects of these new design criteria through a combined experimental and theoretical approach. We construct a model to extract photoluminescence lifetimes of six of these candidate PV absorbers, including four (InI, SbSI, SbSeI, and BiOI) for which time-resolved photoluminescence has not been previously reported. The lifetimes of all six candidate materials exceed 1 ns, a threshold for promising early stage PV device performance. However, there are variations between these materials, and none achieve lifetimes as high as those of the hybrid lead–halide perovskites, suggesting that the heuristics for defect-tolerant semiconductors are incomplete. We explore this through first-principles point defect calculations and Shock.
Effect of Chain Flexibility of Epoxy Encapsulants on the Performance and Reliability of Light-Emitting Diodes

Cycloaliphatic epoxy resin (3–4-epoxycyclohexane) methyl 3–4-epoxycyclohexyl-carboxylate (ECC) was formulated with flexible hydrogenated bisphenol A diglycidyl ether (HBADGE) to inspect the influence of chain flexibility on the performance and reliability of epoxy packaged Light-emitting Diode (LED). The properties of epoxy encapsulants were characterized by using differential scanning calorimetry (DSC), dynamic mechanical analysis (DMA), thermogravimetric analyses (TGA), ultraviolet visible (UV–vis) spectrophotometer, thermomechanical analyzer (TMA), scanning acoustic microscopy (SAM), and scanning electron microscopy (SEM). With the incorporation of flexible HBADGE, favorable properties were obtained, such as decreased thermal expansion coefficient (CTE), lowered storage modulus at reflow temperature, and depressed equilibrium water uptake for the epoxy packaging materials. The light transmittance of encapsulants differed after thermal and UV aging. Compared with Neat ECC and Neat HBADGE, the HBADGE-mod.
Chemoselective hydrogen peroxide oxidation of primary alcohols to aldehydes by a water-soluble and reusable iron(III) catalyst in pure water at room temperature

Hydrogen peroxide oxidation of primary alcohols to aldehydes is described, which is catalyzed by a novel, reusable and water-soluble FeCl3 complex in situ-formed with quaternary ammonium salt-functionalized 8-aminoquinoline. This reaction exhibits unique chemoselectivity and broad functional-group tolerance, and it can operate efficiently in pure water at room temperature.
LaBRI University of Bordeaux

Visibly Pushdown Automata ( Vpa ) are a recent model of machines introduced by Alur and Madsuhudan in 2004 that has risen plenty of research interest in the last couple of years. Vpa are pushdown automata working on a visibly push-down alphabet, i.e. each input symbol of the automaton determine uniquely the stack operation (push, pop, or no operation on the stack) to perform. They model the behaviours of several kinds of recursive programs and the increasing amount of research around them testiﬁes of how wide their range of applications in software veriﬁcation is. Yet some questions remain open, e.g. whether Vpa are minimizable within polynomial time. In this master’s thesis, we shall argument why minimization of Vpa is hard and which alternatives do exist in order to minimize them. Several variants and submodels of Vpa are eventually considered in order to accomplish an eﬃcient minimization.
Determination of Fungal Population in Maize Grains from Benue State Nigeria

Determination of fungal population in maize grains collected from Benue State was carried out in this study. One hundred and seventeen maize grain samples purchased from markets in Benue State were screened for toxigenic and non-toxigenic fungal contaminants. Maize samples (500 g each) were collected in sterile polythene bags, labelled and taken to the laboratory for analysis. Isolation and identification of the fungi was carried out using dilution method and standard mycological procedures. Results showed that almost all the seed samples (99.1%) were contaminated. Many (55.6%; 65/117) of the maize grains were moderately contaminated with 1.0 × 06 to 2.7 × 107 colony forming units per gram (cfu/g) of sample, while few (7.1%; 9/117) showed high level of fungal contamination (>8.2 × 107 cfu/g). Many samples 42.7% (n=50/117) were free of contamination with Rhizopus stolonifer. However, 41.9% (n=49/117) showed some Rhizopus stolonifer contamination (1.0 × 106 to 2.5 × 107 cfu/g). Exactly 40.2% (n=47/117) of the seed samples were free of Aspergillus contamination, while 34.2% (n=40/117) showed some level of contamination (1.0 × 106–2.0 × 107 cfu/g). Only few (2.6%; n=3/117) were highly contaminated (>6.1 × 107 cfu/g) with Aspergillus. A high number (91.5%; n=107/117) of the maize samples were free of contamination with Penicillium notatum, very few 2.6% (n=3/117) of the samples were lightly contaminated (1.0 × 10–1.0 × 107 cfu/g). Moderate contamination (1.1 × 107 – 2.0 × 107 cfu/g) was observed for 4.3% (n=5/117) of the maize samples. Majority of the seeds (73.5%, n=86/117) were free of fungal Fusarium contamination, while only a few (4.5%; n=5/117) were heavily contaminated (≥ 4.8 × 107). Due to the high level of fungal contamination found in this study, there may be need for emphasis on education of the populace on the proper method of harvesting, drying, handling, transportation and storage of maize grains by relevant authorities.
The integument of pelagic crocodylomorphs (Thalattosuchia: Metriorhynchidae)

Metriorhynchidae are the only archosaurs that show adaptations to a highly pelagic lifestyle. This morphology is paralleled by ichthyosaurs and plesiosaurs, which share a streamlined, largely scaleless skin surface. Although published metriorhynchid material indicates a similar condition, no detailed description of their integument has been carried out. New data from several specimens representing at least three genera are shown here, revealing a uniform skin type lacking any traces of scales or scutes and instead showing folded and transverse fibers. A hypocercal tail fluke comparable to that of ichthyosaurs is present in metrorhynchids. Surface anomalies on metriorhynchid skin are interpreted as potential epizootic scars, similar to those from barnacles, or bite marks. A broad comparison implies deep homologies with plesiosaur and ichthyosaur skin. We also describe skin details of early (teleosauroid) thalattosuchians for the first time. Unlike Metriorhynchidae, their integument is demonstrated to be very similar to that of extant crocodylians, which can be partially explained by their inferred onshore behavior. There is generally a high threshold for extensive skin modifications in aquatic reptiles. Frederik Spindler. Dinosaurier Museum Altmühltal, Dinopark 1, 85095 Denkendorf, Germany. mail@frederik-spindler.de René Lauer. Lauer Foundation for Paleontology, Science and Education, Wheaton, Illinois, USA. rene@lauerfoundationpse.org Helmut Tischlinger. Tannenweg 16, 85134 Stammham, Germany and Jura-Museum Eichstätt, Willibaldsburg, 85072 Eichstätt, Germany. htischlinger@online.de Matthias Mäuser. Staatliche Naturwissenschaftliche Sammlungen Bayerns, Naturkunde-Museum Bamberg, Fleischstr. 2, 96047 Bamberg, Germany. maeuser@snsb.de
Tecnologías de cuidado para prevención y control de la hemorragia en la tercera etapa del parto

Objective: to identify evidence concerning the contribution of health technologies used to prevent and control hemorrhaging in the third stage of labor. Method: systematic review with database searches. First, two researchers independently selected the papers and, at a second point in time, held a reconciliation meeting. The Kappa coefficient was used to assess agreement, while the Grading of Recommendations, Assessment, Development and Evaluation was adopted to assess risk of bias and classify level of evidence. Results: in this review, 42 papers were included, 34 of which addressed product technologies, most referred to pharmacological products, while two papers addressed the use of blood transparent plastic bags collector and the contribution of birth spacing and prenatal care. The eight papers addressing process technologies included the active management of the third stage of labor, controlled cord traction, uterine massage, and educational interventions. Conclusion: product and process technologies presented high and moderate evidence confirmed in 61.90% of the papers. The levels of evidence confirm the contribution of technologies to prevent and control hemorrhaging. Clinical nurses should provide scientific-based care and develop protocols addressing nursing care actions.
The Effect of Incarceration on Tuberculosis Treatment Outcomes in Brazil: a Retrospective Cohort Study

Background: Tuberculosis notifications in Latin American prisons have more than doubled over the past two decades; however, treatment outcomes and their determinants among incarcerated individuals in this region are not well understood. Methods: Newly diagnosed drug-susceptible tuberculosis cases reported to Brazils Sistema de Informacao de Agravos de Notificacao (SINAN) between January 2015 and December 2017 were included. Multivariate logistic regression was used to assess socioeconomic and clinical factors associated with treatment success among incarcerated individuals. Results: Incarcerated individuals (n=17,776) had greater treatment success than non-incarcerated individuals (n=160,728; 82.2% vs 75.1%, p<0.0001), including after adjusting for demographic and clinical risk factors (adjusted Odds Ratio [aOR]: 1.27; 95% CI: 1.19-1.34). These differences were partially mediated by increased use of directly observed therapy among incarcerated individuals (DOT) (61% vs 47%, p<0.001), which was associated with greater efficacy in the incarcerated population (aOR 2.56 vs aOR 2.17; p<0.001). DOT was associated with improved treatment success among incarcerated subpopulations at elevated risk of poor outcomes. Conclusion: Tuberculosis treatment success among incarcerated individuals in Brazil is higher than non-incarcerated individuals, but both fall below WHO targets. Expanding the use of DOT and services for socially and medically vulnerable individuals may improve outcomes in carceral settings.
Management of Different Cancer Types in the Eastern Cape and Mpumalanga Provinces of South Africa: Accessibility of Treatment Options

Background: Cancer of different types have manifested themselves to be the most destructive, silent killer affecting all countries. Both developed and developing countries have suffered irreparable damages resulting from deaths of cancer patients. This has created devastating economic, social, family and national losses. The stated researchers have endeavoured to understand different strategies employed in the management of different cancer types. Objectives of this study: The main objective of this study was to explore cancer management strategies including different treatments types available to cancer patients. Other issues considered included referrals of cancer patients within and across various categories of hospitals as integral part of the cancer management strategies. Different analytical strategies have been employed in this study.
Titanium Dioxide based Hybrid Ion-exchange Media for Simultaneous Removal of Strong Acid Anions and Oxo-anions

Intellectual Property Status: Patent Pending Invention Description Researchers at Arizona State University have developed an exciting ionexchange media that simultaneously removes strong acids and oxo-anions from water. This media uses titanium dioxide to remove contaminants which is advantageous over the current media of iron hydroxides. Titanium dioxide is more stable and resistant to dissolution in natural waters. The fabrication process uses easy and inexpensive approaches suitable for production of large quantities of the media using very simple manufacturing processes.
Large scale synthesis of single-walled carbon nanotubes by an arc-discharge method at controlled temperatures

Large amounts of single-wall carbon nanotubes(SWNTs) deposited on all the wall of the chamber have been obtained in helium and nitrogen mixed atmosphere using Co-Ni alloy catalyst with a modified arc furnace which can control the temperature during arcing process. Additionally, there are many weblike deposition products located between the cathode and anode. By twostep purification:the as-grown SWNT was heated in air at 500℃ for 30min, then soaked in 37% hydrochloric acid for 72h and filtered with deionized water. Microanalysis was carried out by Transmission electron microscopy(TEM), high-resolution TEM and Raman spectroscopy. The results obtained indicate that the purified SWNTs have high purity (higher than 95%) and uniform diameter (from 1.24 to 1.38nm). This experiment indicates that the temperature strongly affects the production of SWNT; the production and purity of SWNT increase with temperature. When the temperature is 600℃, the purity is about 70% and the production of SWNT is 12g/h.
Opioid, Cocaine and Methamphetamine Overdose Crisis and Deaths in 2021

Published by United Scientific Group Recent data reported by the Centers for Disease Control and Prevention (CDC) showed that 88,000 Americans have died from drug overdoses during the 12-month period that ended in August [1]. Compared to provisional, the August data is sharply higher than the CDC reported just a few months ago in December. Adding 27% more deaths to the interim drug overdose death rates reminds us that overdoses have increased in spite of our efforts [2]. The most recent data show the limitations of evidence-based and FDA-approved treatments for opioid use disorders, Narcanan antidote to opioid overdose, reduced stigma, and improved treatment access. More patients with OUDs are currently being treated with medication-assisted therapy (MATs), and deaths continue to increase. Where is prevention ?
Improving the efficiency of corporate management of agricultural enterprises

Financial indicators play an important role in the management of an agricultural enterprise. the tasks of the management of the agricultural enterprise are to control the efficiency of employees and maintain the financial stability of the enterprise. In this paper, the problem of ensuring effective management of an agricultural enterprise was investigated. The activity of an agricultural enterprise depends on the influence of external factors: political and legal, technical and economic, ecological and economic, demographic, socio-cultural. We studied the question of how to take into account the influence of variable external factors in the management of an agricultural enterprise. Traditional methods based on financial analysis data, in our opinion, do not fully reflect the situation in the agricultural enterprise. International management accounting standards are optional, but they allow for the use of more flexible indicators in management accounting that take into account the activities of a particular agricultural enterprise. This will facilitate short - and medium-term planning at the agricultural enterprise and facilitate the achievement of the enterprise’s tactical and strategic goals.
Tourism Enterprises’ Willingness to Contribute to Payment for Ecosystem Services (PES) Program in Gili Matra, Indonesia

—Tourism activities generally put more emphasis on the provision of maximum economic benefit. Less attention is given to its environmental impact and this can lead to disruption in the condition of the physical environment. If this continues, then, in the long run, the physical environment in the region will be no longer attractive and be harmful to the tourism sector. To
Structural characterization of caffeine–oxalic acid co-crystals from the powder diffraction pattern at the SPring-8 BL02B2 beamline

In this work, we developed an X-ray powder diffractometer system equipped with six solid-state detectors and used it to perform ab initio structure determination from the powder diffraction pattern data obtained for a caffeine–oxalic acid co-crystal. The crystal structure obtained from the powder diffraction data was consistent with the previously solved single-crystal structure (Trask reference), although slightly larger (by about 2%). The co-crystallization of pharmaceutically active molecules can modulate their physical properties such as solubility, stability, and bioavailability. For the investigation of pharmaceutical complexes, the ability to visualize molecular interactions such as hydrogen bonding would be very helpful toward understanding their physical properties. Given the rate at which the high-throughput screening of pharmaceutical complexes has grown, an analogous high-volume, high-resolution X-ray powder diffraction technique with high-throughput data collection ability would be useful. We also solved the crystal structures of an inorganic complex and metal organic framework, zinc acetate dihydrate and CPL-1, in order to demonstrate the performance of our new diffractometer system.
Online Performance Modeling and Prediction for Single-VM Applications in Multi-Tenant Clouds

Clouds have been adopted widely by many organizations for their supports of flexible resource demands and low cost, which is normally achieved through sharing the underlying hardware among multiple cloud tenants. However, such sharing with the changes in resource contentions in virtual machines (VMs) can result in large variations for the performance of cloud applications, which makes it difficult for ordinary cloud users to estimate the run-time performance of their applications. In this article, we propose online learning methodologies for performance modeling and prediction of applications that run repetitively on multi-tenant clouds (such as on-line data analytic tasks). Here, a few micro-benchmarks are utilized to probe the in-situ perceivable performance of CPU, memory and I/O components of the target VM. Then, based on such profiling information and in-place measured application’s performance, the predictive models can be derived with either Regression or Neural-Network techniques. In particular, to address the changes in the intensity of resource contentions of a VM over time and its effects on the target application, we proposed periodic model retraining where the sliding-window technique was exploited to control the frequency and historical data used for model retraining. Moreover, a progressive modeling approach has been devised where the Regression and Neural-Network models are gradually updated for better adaptation to recent changes in resource contention. With 17 representative applications from PARSEC, NAS Parallel and CloudSuite benchmarks being considered, we have extensively evaluated the proposed online schemes for the prediction accuracy of the resulting models and associated overheads on both a private and public clouds. The evaluation results show that, even on the private cloud with high and radically changed resource contention, the average prediction errors of the considered models can be less than 20 percent with periodic retraining. The prediction errors generally decrease with higher retraining frequencies and more historical data points but incurring higher run-time overheads. Furthermore, with the neural-network progressive models, the average prediction errors can be reduced by about 7 percent with much reduced run-time overheads (up to 265X) on the private cloud. For public clouds with less resource contentions, the average prediction errors can be less than 4 percent for the considered models with our proposed online schemes.
Sphenoid bone is more asymmetrical than palatine bone among small ruminants

ABSTRACT A sample comprised by 53 dry modern skulls of adult small ruminants (sheep n = 36 and goat n = 17) from a comparative collection, absent of bony pathologies, was studied on their basal craniofacial aspect. A total of 26 points (2 sagittal landmarks and 24 semilandmarks) and 32 points (4 landmarks and 28 semilandmarks) were chosen on the sphenoid bone and palatine bone respectively and analysed by means of geometric morphometric techniques. The interaction of individuals and sides (fluctuating asymmetry) showed a highly significant difference for both bones, as well as side effect (directional asymmetry), being levels of detected fluctuating asymmetry higher in sphenoid (25.4%) than in palate (12.8%). Asymmetric component differentiated sheep and goats. Detected basicranial asymmetry can be viewed as a common finding among small ruminants.
Takeover law regulations and their influence on the takeover premium – An empirical study of the OECD Member States

Almost all OECD and G20 countries have introduced a mandatory bid rule (MBR) in conjunction with a fair price regulation in their national takeover laws. MBRs require that a takeover bid must be made to all shareholders, if a certain control threshold is being exceeded. We show that takeovers that exceed such a threshold are associated with below-average takeover premiums. Other national characteristics of the MBR also show significant influences on the takeover premium. In addition, significantly higher premiums are paid when the buyer is seeking for between 20% and 40% of the shares after the takeover.
Mutual Informative MapReduce and Minimum Quadrangle Classification for Brain Tumor Big Data

Machine learning algorithms such as support vector machine (SVM) have been widely used to detect brain tumors in big data environments. However, the SVM classifier is unsuitable for a large dataset as the complexity involved is found to be high. Therefore, in this article, a MapReduce model is introduced with SVM to handle large-scale data and deal with this issue. In this article, a framework called mutual informative MapReduce and minimum quadrangle classification (MIMR-MQC) is introduced for brain tumor detection to handle challenges associated with big data classification. Here, preprocessing is performed using MIMR, which removes unwanted and redundant attributes in the brain tumor dataset. This technique reduces the computation complexity and time using a big dataset for detecting the brain tumors. Then, the minimum quadrangle support vector machine model is created using Lagrange multipliers and radial basis kernel function for improving the efficiency of the classification process. The MIMR-MQC framework is validated on a standard dataset called Central Brain tumor Registry of the United States (CBTRUS). Results show that the proposed model observed 21% of higher detection accuracy by minimizing the computational complexity and detection time by 37% and 27%, respectively in comparison with existing models. A comparison with state-of-the-art machine learning techniques, the MIMR-MQC framework performs better in terms of brain tumor detection time and accuracy due to the better distribution of data.