Miracle-dz/UniFAR-FTUs huggingface dataset:
Extremal (n,m)-Graphs w.r.t General Multiplicative Zagreb Indices.

BACKGROUND A topological index of a molecular graph is the numeric quantity which can predict certain physical and chemical properties of the corresponding molecule. Xu et al. introduced some graph transformations which increase or decrease the first and second multiplicative Zagreb indices and proposed a unified approach to characterize extremal (n, m)- graphs. METHOD Graph transformations are used to find the extremal graphs, these transformations either increase or decrease the general multiplicative Zagreb indices. By applying the transformations which increase the general multiplicative Zagreb indices we find the graphs with maximal general multiplicative Zagreb indices and for minimal general Zagreb indices we use the transformations which decrease the index. RESULT In this paper, we extend the Xu's results and show that the same graph transformations increase or decrease the first and second general multiplicative Zagreb indices for . As an application, the extremal acyclic, unicyclic and bicyclic graphs are presented for general multiplicative Zagreb indices. CONCLUSION By applying the transformation we investigated that in the class of acyclic, unicyclic and bicyclic graphs, which graph gives the minimum and the maximum general multiplicative Zagreb indices.
The portrait of Uganda’s informal sector: What main obstacles do the sector face?

Abstract In this paper, using primary data collected from business owners, we examine the nature and obstacles in the informal sector of Uganda. We find that education level matters in the selection of enterprises. The bulk of businesses, like eating kiosks, fish selling, shoe shining among others that require no specialized skill to operate were mainly run by primary school dropouts and those with no formal level of education. Furthermore, we find evidence of a strong entrepreneurial spirit among secondary school dropouts than at any other education level. Across all businesses surveyed, secondary school dropouts run a high number of informal enterprises. Evidence suggests that their motivation is driven by two key factors, namely, wanting to take advantage of an existing business opportunity and failure to find employment in the formal sector. The empirical results show that access to finance, crime, theft and disorder, electricity, water, taxes, burdensome inspections, and informal gifts are robust and significant obstacles to the operations of the informal sector in Uganda. Policies should focus on a regulatory framework that supports the sector to create secure livelihoods and generate employment opportunities for the unemployed rather than viewing the sector as a source of “illegality. ” Improving access to finance, providing regular power and water supply, and improving the tax regime would mitigate the obstacles faced by informal businesses leading to possible formalization. Informal sector businesses should not be perceived as “illegal entities” but rather complementary effort by an increasingly enterprising population in the country.
The interplay between identity construction and L2 investment during study abroad program: cases of MBA students from China

ABSTRACT The study looked into three Chinese MBA students' discursive language and cultural behavior in an American study abroad (SA) program. It intended to unveil the complex social and individual factors shaping the students' second language (L2) and cultural learning. The key notions of identity and investment were employed to interpret the three MBA students' L2 acquisition in the American business school. The study revealed that learners' L2 investment and learning process during SA could be further complicated by their divergent academic and professional identities. Based on the findings, educational implications were drawn for SA programs in international education.
Efficient Algorithm for Providing Live Vulnerability Assessment in Corporate Network Environment

The time gap between public announcement of a vulnerability—its detection and reporting to stakeholders—is an important factor for cybersecurity of corporate networks. A large delay preceding an elimination of a critical vulnerability presents a significant risk to the network security and increases the probability of a sustained damage. Thus, accelerating the process of vulnerability identification and prioritization helps to red the probability of a successful cyberattack. This work introduces a flexible system that collects information about all known vulnerabilities present in the system, gathers data from organizational inventory database, and finally integrates and processes all collected information. Thanks to application of parallel processing and non relational databases, the results of this process are available subject to a negligible delay. The subsequent vulnerability prioritization is performed automatically on the basis of the calculated CVSS 2.0 and 3.1 scores for all scanned assets. The environmental CVSS vector component is evaluated accurately thanks to the fact that the environmental data is imported directly from the organizational inventory database.
Analog Realization of Fractional-Order Skin-Electrode Model for Tetrapolar Bio-Impedance Measurements

This work compares two design methodologies, emulating both AgCl electrode and skin tissue Cole models for testing and verification of electrical bio-impedance circuits and systems. The models are based on fractional-order elements, are implemented with active components, and capture bio-impedance behaviors up to 10 kHz. Contrary to passive-elements realizations, both architectures using analog filters coupled with adjustable transconductors offer tunability of the fractional capacitors’ parameters. The main objective is to build a tunable active integrated circuitry block that is able to approximate the models’ behavior and can be utilized as a Subject Under Test (SUT) and electrode equivalent in bio-impedance measurement applications. A tetrapolar impedance setup, typical in bio-impedance measurements, is used to demonstrate the performance and accuracy of the presented architectures via Spectre Monte-Carlo simulation. Circuit and post-layout simulations are carried out in 90-nm CMOS process, using the Cadence IC suite.
Graphite Nanofibers as an Electrode for Fuel Cell Applications

The potential of graphite nanofiber supported platinum catalysts as an electrode for fuel cell applications was investigated using the electrochemical oxidation of methanol at 40 °C as a probe reaction. Various types of graphite nanofibers were used and the behavior of supported platinum particles on these materials compared to that when the metal was dispersed on Vulcan carbon (XC-72). Catalysts consisting of 5 wt % platinum supported on “platelet” and “ribbon” type graphite nanofibers, which expose mainly edge sites to the reactants, were found to exhibit activities comparable to that displayed by about 25 wt % platinum on Vulcan carbon. Furthermore, the graphite nanofiber supported metal particles were observed to be significantly less susceptible to CO poisoning than the traditional catalyst systems. This improvement in performance is believed to be linked to the fact that the metal particles adopt specific crystallographic orientations when dispersed on the highly tailored graphite nanofiber structures.
LOCSCL : a program to statistically optimize local scaling of single-isomorphous-replacement and single-wavelength-anomalous-scattering data

A new stand-alone program, LOCSCL, for anisotropic local scaling of single-isomorphous-replacement or single-wavelength-anomalous-scattering pairs of data sets is described. The program features statistical weighting of the least-squares fit of the scale factors, statistical optimization of the size of the local blocks of reciprocal-lattice points used for the fitting, and propagation of the scaling-error estimates for both |F| and |E| data.
Tanısı Zor Tek Gen Hastalıklarında Hedefe Yönelik Yeni Nesil Dizileme Panel Tasarımı: Primer İmmün Yetersizlik Örneği

Amac: Yeni nesil dizileme teknolojileri bugun cok sayida aday genin, genomun tum kodlayan bolgelerinin hatta tum genomun analizini tek seferde ve kisa sure icerisinde dusuk maliyet ve yuksek hassasiyette, guvenilir bir sekilde mumkun kilmaktadir. Hedefe yonelik yeni nesil dizileme sistemleri genomda sadece belirli bolgenin dizilenmesine imkan veren, tum genom dizilemelere gore uygulamasi ve analizi daha kolay, hizli ve yuksek guvenirlilikte bir yontem olarak pek cok rutin genetik tani uygulamalarinda yerini bulmustur. Gerec ve Yontem: Calismamizda primer immun yetersizliklerin en yaygin grubu olan primer antikor yetersizlikleri (PAY) ve en agir seyirli grubu agir kombine immun yetersizlikler (AKIY) icin hastalik ile iliskili oldugu bilinen genleri kapsayan PZR temelli genetik tani panelleri gelistirilmis ve ortaya cikan yuksek verinin yorumlanmasi icin bir analiz akisi olusturulmustur. Bulgular: Tasarlanan paneller ile toplam 112 hasta (PAY:64, AKIY:48) dizilenmis ve AKIY hastalarinin %58’i ve PAY hastalarinin %14,2’sinde hastalik ile iliskili varyantlar tespit edilmistir. Tum varyantlar Sanger dizileme ile dogrulanarak olusturulan molekuler tani panellerinin ve analiz algoritmasinin dogrulugu kontrol edilmistir. Sonuc: Hedefe yonelik yeni nesil dizileme panellerinin hedeflenen bolgeye uygun olarak dogru yontemle tasarlanmasi ve cikan ham datanin dogru is akisi ile analiz edilmesi panelin basarisini arttirmaktadir.
Determinants of Nursing Campuses’ Readiness to Use a Computerised Training Tool

The Integrated Management of Childhood Illness Computerised Adaptation and Training Tool (ICATT) is an emergent training tool for improving the efficiency of the Integrated Management of Childhood Illness (IMCI) case management training in an in-service or pre-service context. This article reports on a study that explored nursing campuses’ readiness to use ICATT. A qualitative, exploratory, descriptive design was employed at 10 nursing campuses in KwaZulu-Natal (KZN), South Africa. Campus principals, nurse educators and learners were purposively sampled. The inclusion criteria were: for the campus principals – their willingness to participate; for the nurse educators – having received and facilitated IMCI case management training; and for the learners – being either second or third year trainees in the R425 training programme. In-depth semi-structured interviews were conducted to collect data from the seven campus principals, while eight focus group discussions (FGDs) were held with the nurse educators and learners. The interviews were audio-taped and transcribed verbatim. Data analysis was conducted manually, and trustworthiness was ensured. The determinants identified were: a positive attitude; enablers for ICATT implementation; and barriers to ICATT implementation. However, the barriers could have an impact on the adoption of an electronic tool for IMCI case management training. Recommendations include developing the infrastructure at nursing campuses; offering nurse educators training on the implementation of ICATT for teaching; and developing the learners’ computer skills. Nurse educators may use ICATT effectively in teaching IMCI case management, while also stimulating independent learning and creativity for the learners involved.
Accelerating phylogeny-aware alignment with indel evolution using short time Fourier transform

Abstract Recently we presented a frequentist dynamic programming (DP) approach for multiple sequence alignment based on the explicit model of indel evolution Poisson Indel Process (PIP). This phylogeny-aware approach produces evolutionary meaningful gap patterns and is robust to the ‘over-alignment’ bias. Despite linear time complexity for the computation of marginal likelihoods, the overall method’s complexity is cubic in sequence length. Inspired by the popular aligner MAFFT, we propose a new technique to accelerate the evolutionary indel based alignment. Amino acid sequences are converted to sequences representing their physicochemical properties, and homologous blocks are identified by multi-scale short-time Fourier transform. Three three-dimensional DP matrices are then created under PIP, with homologous blocks defining sparse structures where most cells are excluded from the calculations. The homologous blocks are connected through intermediate ‘linking blocks’. The homologous and linking blocks are aligned under PIP as independent DP sub-matrices and their tracebacks merged to yield the final alignment. The new algorithm can largely profit from parallel computing, yielding a theoretical speed-up estimated to be proportional to the cubic power of the number of sub-blocks in the DP matrices. We compare the new method to the original PIP approach and demonstrate it on real data.
THEORY AND APPLICATION OF NEUTRON SCATTERING IN THE MEASUREMENT OF SOIL MOISTURE

The determination of soil moisture by the neutronscatter technique is considered in a theoretical discussion. Calculated and measured neutron fluxes are considered in various systems of concern to the technician desirous of improving techniques of measuring soil moisture. Differences in the response of a Nuclear,Chicago P-19 and a Troxler Model 102 neutron probe are presented.
Um estudo preliminar sobre a experiência da leitura em reportagens em dispositivos móveis // A preliminary study on reading experience in reports for mobile devices

A experimentacao de novas estrategias de navegacao e de narrativas, beneficiadas pelo avanco do design e das linguagens de programacao, aponta novos “modos de fazer” e de apresentar a informacao no jornalismo digital. As aqui denominadas reportagens visuais tem se reproduzido em diversos sites, integrando cada vez mais elementos como fotografias, videos, infograficos interativos, entre outros elementos. Este texto pretende apresentar, de forma preliminar, a experiencia de leitura destas reportagens em dispositivos moveis em tres principais cibermeios brasileiros – Folha de S.Paulo, O Estado de S.Paulo e O Globo, por meio de testes de usabilidade, dados quantitativos e qualitativos. Pretendemos tambem aliar metodologias da ciencia da computacao e da comunicacao, como uma tentativa de experienciar o campo das humanidades digitais e do Big Data.
Weaker Links Between Zonal Convective Clustering and ITCZ Width in Climate Models Than in Observations

Strong links are seen in observations between convective clustering and several properties of the Intertropical Convergence Zone (ITCZ). These links suggest that biases in how climate models simulate the ITCZ may be related to model biases in convective clustering or that there may be biases in how models represent the relationship between clustering and the ITCZ. We investigate these issues by analyzing convective clustering, and the link between clustering and ITCZ properties in 18 climate models. We find that the links between variability in convective clustering and variability of ITCZ properties are generally weaker and less robust in models than in observations. By contrast, model biases in the climatological convective clustering explain a substantial fraction of the climatological double‐ITCZ bias, though they do not explain biases in the climatological ITCZ width.
Solid‐State Li–Metal Batteries: Challenges and Horizons of Oxide and Sulfide Solid Electrolytes and Their Interfaces

The introduction of new, safe, and reliable solid‐electrolyte chemistries and technologies can potentially overcome the challenges facing their liquid counterparts while widening the breadth of possible applications. Through tech‐historic evolution and rationally analyzing the transition from liquid‐based Li‐ion batteries (LIBs) to all‐solid‐state Li‐metal batteries (ASSLBs), a roadmap for the development of a successful oxide and sulfide‐based ASSLB focusing on interfacial challenges is introduced, while accounting for five parameters: energy density, power density, longterm stability, processing, and safety. First taking a strategic approach, this review dismantles the ASSLB into its three major components and discusses the most promising solid electrolytes and their most advantageous pairing options with oxide cathode materials and the Li metal anode. A thorough analysis of the chemical, electrochemical, and mechanical properties of the two most promising and investigated classes of inorganic solid electrolytes, namely oxides and sulfides, is presented. Next, the overriding challenges associated with the pairing of the solid electrolyte with oxide‐based cathodes and a Li‐metal anode, leading to limited performance for solid‐state batteries are extensively addressed and possible strategies to mitigate these issues are presented. Finally, future perspectives, guidelines, and selective interface engineering strategies toward the resolution of these challenges are analyzed and discussed.
Prediction of Stock Performance Using Deep Neural Networks

Stock performance prediction is one of the most challenging issues in time series data analysis. Machine learning models have been widely used to predict financial time series during the past decades. Even though automatic trading systems that use Artificial Intelligence (AI) have become a commonplace topic, there are few examples that successfully leverage the proven method invented by human stock traders to build automatic trading systems. This study proposes to build an automatic trading system by integrating AI and the proven method invented by human stock traders. In this study, firstly, the knowledge and experience of the successful stock traders are extracted from their related publications. After that, a Long Short-Term Memory-based deep neural network is developed to use the human stock traders’ knowledge in the automatic trading system. In this study, four different strategies are developed for the stock performance prediction and feature selection is performed to achieve the best performance in the classification of good performance stocks. Finally, the proposed deep neural network is trained and evaluated based on the historic data of the Japanese stock market. Experimental results indicate that the proposed ranking-based stock classification considering historical volatility strategy has the best performance in the developed four strategies. This method can achieve about a 20% earning rate per year over the basis of all stocks and has a lower risk than the basis. Comparison experiments also show that the proposed method outperforms conventional methods.
Evaluation of two commercial fungal inoculants for improving phosphorus supply to crops grown in soils with contrasting management histories

Two fungal inoculants are commercially available in Canada and the USA that target improving plant access to soil phosphorus (P). Arbuscular mycorrhizal fungi and Penicillium bilaiae were used to inoculate wheat, lentil and flax grown in an organically-managed and a conventionally-managed soil. A second crop was grown after freezing the soil to evaluate if the inoculants carried over to a second crop. Crops in the organically managed soil were smaller and took up less P than the same crop in the conventionally managed soil. Inoculation with either inoculant improved shoot growth and P uptake in wheat grown in the organically-managed soil and in lentil grown in the conventionally-managed soil. Co-application of the inoculants was never superior to the single inoculants. Carry-over effects were slight and inconsistent.
Sustainability Reporting: The Moderating Role of Audit Committee on Financial Performance

Sustainability reporting is a tool for companies to communicate the efforts and results they make in managing themselves based on their environment, social and economy. This study examines financial factors affecting the level of sustainability reporting disclosure moderated by audit committee activity. The samples used were go-public companies listed in SRI-KEHATI index in 2019, and the ones participated in the Sustainability Award organized by NCSR in 2019 and published the 2018 sustainability reporting. The results confirm that firm size does not affect the level of sustainability reporting disclosure, while both liquidity and profitability variable affect. The frequency of audit committee meetings fails to moderate the relationship between firm size and the level of sustainability reporting disclosure, but is able to moderate both of the relationships between liquidity and profitability with the level of sustainability reporting disclosure. This result is expected to provide benefits for academics in developing researches on sustainability reporting
Effect of Alloying Mn by Selective Laser Melting on the Microstructure and Biodegradation Properties of Pure Mg

This work studied the effect of alloying Mn by selective laser melting on the microstructure and biodegradation properties of pure Mg. The grains in the microstructure were quasi-polygon in shape. The average grain size was similar (~10 μm) for the SLMed Mg-xMn with different Mn contents. The XPS spectra of the corrosion surface showed that alloying Mn into Mg by SLM produced a relatively protective manganese oxide film, which contributed to decreasing the biodegradation rate. All the results of the electrochemistry test, immersion test and the corrosion surface morphologies coincided well. The SLMed Mg-0.8Mn had the lowest biodegradation rate. When Mn content was more than 0.8 wt. %, the influence of the undissolved Mn phase on the decrease of the biodegradation resistance counteracted the influence of the relatively protective manganese oxide layer on the increase of the biodegradation resistance.
A 61-Year-Old Man with SARS-CoV-2 Infection and Venous Thrombosis Presenting with Painful Swelling and Gangrene of the Lower Limb Consistent with Phlegmasia Cerulea Dolens

Patient: Male, 61-year-old Final Diagnosis: Phlegmasia cerulea dolens Symptoms: Bilateral leg swelling • breathlessness • cough • fever Medication: — Clinical Procedure: — Specialty: Cardiology • Infectious Diseases • Medicine, General and Internal Objective: Rare disease Background: Coronavirus disease 2019 (COVID-19) is a novel infectious disease with an evolving understanding of its clinical manifestations, complications, and therapeutic implications. Thromboembolic disease and coagulopathy are common and have been seen in COVID-19 patients. Phlegmasia cerulea dolens had been reported in previous cases associated with malignancy which is a known cause of a procoagulable state. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection may also induce a procoagulable state and be associated with PCD. Case Report: A 61-year-old man presented with a painful, swollen limb and gangrene, findings consistent with a diagnosis of PCD due to venous thrombosis. The patient tested positive for SARS-CoV-2 infection after a nasopharyngeal swab sample using the XPRSARS-COV2-10 reverse transcription polymerase chain reaction kit. He had bilateral leg swelling with a gangrenous left fourth digit in the presence of a palpable peripheral pulse. His venous duplex showed bilateral acute deep venous thrombosis, whereas his arterial Doppler scan was normal and his skin biopsy was negative for vasculitis. One of our screening blood tests was suggestive of an antiphospholipid-like syndrome. These clinical and radiologic findings were consistent with PCD. This patient was promptly anticoagulated; other supportive treatments were also initiated. He had a significant resolution of his pedal swelling with the associated revitalization of his previously gangrenous toe. Conclusions: This case report shows the importance of testing for SARS-CoV-2 infection in patients who present with unusual thrombotic symptoms and signs and highlights the potential severity of these thrombotic complications.