Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of pancreatic lipase and gamma-glutamyl transferase in acute pancreatitis

Background and objective: Pancreas is a large organ behind the stomach that produces digestive enzymes and a number of hormones. Pancreatitis is a condition characterized by inflammation of the pancreas. When the digestive enzymes are activated before they are released into the small intestine, they begin attacking the pancreas, and pancreatic damage happens. This study aimed to evaluate the association between pancreatic lipase, gamma-glutamyl transferase, and acute pancreatitis in patients living in Erbil city. Methods: The present study was carried out at the College of Medicine, Hawler Medical University from December 2017 to July 2018. A total of 35 patients with acute pancreatitis and 25 healthy controls were investigated. Examinations of serum pancreatic lipase and gamma glutamyl transferase were carried out spectrophotometrically for both groups using commercial diagnostics kits. Results: The results showed that the mean level of serum pancreatic lipase in patients with pancreatitis was significantly higher (P <0.01)compared to normal healthy control. The mean serum gamma glutamyl transferase was higher in patients with acute pancreatitis when compared to the reference group but not statistically significant. Conclusion: In the frame of this work, we delineate that pancreatic diseases had a significant effect on pancreatic enzymes reflected by a significant increase in serum lipase, whereas the level of gamma glutamyl transferase increased marginally. Keywords: Pancreatitis; Pancreatic lipoprotein lipase; Gamma glutamyl transferase.
Knowledge sharing in an interorganizational setting: empirical evidence from the Orange Line metro train project

Purpose This paper aims to focus on knowledge sharing process in an interorganizational setting. For this purpose, the context examined is the Orange Line metro train project in Pakistan, in which multiple organizations are involved. Design/methodology/approach This paper adopts a single case study approach. The empirical data comprises semi-structured interviews and archival documents. Thematic analysis is used for analyzing the data. Findings The findings present distinct mechanisms of knowledge sharing, which include knowledge sharing tools, both formal and informal; types of knowledge, i.e. tacit and explicit knowledge; and levels of units such as individuals, teams, organizations (internal knowledge sources) and the interorganizational level (external knowledge sources). Based on the findings, the authors propose an integrative model of the interplay between knowledge sharing tools, types of knowledge and levels of units. Furthermore, the findings depict that the knowledge sharing tools and types of knowledge are important at different levels of units, but their importance may vary depending on whether they are primary or supporting for different levels of units. Originality/value This paper contributes to the literature on knowledge-based theory by examining knowledge sharing in an interorganizational project. The proposed model deepens our understanding of the practices and processes of interorganizational knowledge sharing.
2.4 /spl mu/m cutoff wavelength AlGaAsSb/InGaAsSb phototransistors

The first AlGaAsSb/InGaAsSb phototransistors with a cutoff wavelength (50% of peak responsivity) of 2.4 µm operating in a broad range of temperatures are reported. These devices are also the first AlGaAsSb/InGaAsSb heterojunction phototransistors (HPT) grown by molecular beam epitaxy (MBE). The new MBE-grown HPT exhibited both high responsivity R (up to 2334 A/W for λ=2.05 µm at−20°C) and specific detectivity D* (up to 2.1×1011 cmHz1/2/W for λ=2.05µm at −20°C).
Integration of Financially Intermediated Services for Firm Growth A Micro Level Analysis form Pakistan

Financial intermediation services offered by financial institutions facilitate the firms in smoothening their operations. This study considers the role of the intermediaries beyond the traditional savings and pooling of funds. It takes into account multiple intermediary services offered by financial institutions. These are inclusive of transaction cost reduction services, assurance of liquidity services, information sharing function, and facilitation for delegated monitoring. Firms benefit from these services. This study testifies the impact of financially intermediated functions on firm growth. The sample of the study includes 130 listed companies in the PSX. The analysis employs the Panel Data Analysis (PDA) technique. The results of Transaction Cost Reduction Services, Liquidity Assurance Services, and Information Sharing Services are found to have a statistically significant impact while the proxy for Delegated Monitoring Services offered by intermediaries is found to have an insignificant impact on firm growth. The significance of the integrated intermediation services reflects that firms utilizing the offered intermediary services are benefitted and firm growth is observed as a Fixed Effect.
Cybersecurity in a Post-Quantum World: How Quantum Computing Will Forever Change the World of Cybersecurity

High Performance Computing (HPC) has recently been considerably improved, for instance quantum computing has been developed to achieve high performance computation in many areas, such as medical research, artificial intelligence, weather forecasting, etc. But it also poses a significant threat to cybersecurity, requiring changes to data encryption methods. Currently, the most widely used asymmetric algorithms are based on difficult mathematical problems, such as factoring large numbers, which can take thousands of years on today’s most powerful supercomputers. The purpose of this paper is to dive into the field of cybersecurity and understand how modern practices will be affected by the advancements of quantum computing. In doing so, a fundamental understanding of modern-day computing, modern-day cybersecurity, and quantum computing will need to be established. This, in turn, will build the foundation to allow for a comprehensive analysis of how powerful quantum-based computing is in comparison to modern-day computing, and how this disruptive technology will ultimately change the field of cybersecurity on a global scale. In addition, current industry cybersecurity best practices will be presented to expose their projected vulnerabilities as well as what can be done in the immediate future to prepare for the ever-rapid advancements in computing. Finally, conclusions will be extrapolated on what is to come for future generations in the ongoing race between computing and cybersecurity.
ANALYTICAL MODEL OF THE PLANETARY BOW SHOCK FOR VARIOUS MAGNETIC FIELD DIRECTIONS BASED ON MHD CALCULATIONS

Study of physical processes in plasma near planets often requires knowledge of the position and shape of the planetary bow shock. Empirical models are usually used since theoretical MHD and kinetic models consume too much computer time and cannot be used to track fast processes. M.I. Verigin proposed a semi-empirical approach based on the use of exact theoretical expressions with a small number of parameters, which have a clear physical meaning. These parameters are estimated by fitting experimental data or detailed MHD calculations. A model of the bow shock near an arbitrary-shaped obstacle has previously been developed for a gas-dynamic flow. This model can be applied to any sonic Mach numbers and large values of the Alfven Mach number. In addition, the asymptotic Mach cone — the angle of inclination of the shock wave at an infinite distance from the planet — has been calculated analytically in the MHD approximation. In this paper, we propose a model of the bow shock for any direction of the magnetic field with respect to the upcoming flow and for any Mach numbers. Parameters of the model are the distance of the nose point from the obstacle, radius of curvature and bluntness of the bow shock at the nose point, a parameter related to the transition to the asymptotic downstream slope of the shock, and a skewing angle appearing when the interplanetary magnetic field is directed at an angle to the solar wind velocity.
Predição do valor nutritivo de gramínea nativa e exótica no pantanal por meio do método de reflectância no infravermelho próximo

Objetivou-se neste estudo avaliar e comparar o metodo de reflectância no infravermelho proximal com os metodos de analises convencionais. Utilizou-se 132 amostras da graminea Mesosetum chaseae , coletada em diferentes fitofisionomias e estacoes do ano no periodo de 2005 a 2008, e 48 amostras da graminea Brachiaria humidicola , no periodo de 2007 a 2008, ambas oriundas de duas sub-regioes Nhecolândia e Paiaguas do Pantanal sul-mato-grossense. O material foi analisado quanto aos teores de materia seca (MS), proteina bruta (PB), fibra em detergente neutro (FDN), fibra em detergente acido (FDA), lignina (LIG) fosforo (P) e digestibilidade in vitro da materia seca (DIVMS) pelos metodos convencionais. As mesmas amostras foram analisadas em um espectrometro NIR 900 PLS (FEMTO). Para a calibracao, foi utilizado o tratamento matematico RLM (Regressao Linear Multipla) e, posteriormente, equacoes de regressao foram ajustadas, tendo como variaveis independentes os resultados das analises quimicas e, como variaveis dependentes, os resultados da reflectância no infravermelho proximal. Os coeficientes de correlacao entre os metodos de analises de Mesosetum chaseae , PB, FDN, FDA, LIG, P e DIVMS, foram de 82; 92; 91; 81; 70 e 82%, respectivamente; e para Brachiaria humidicola 87; 89; 81; 89; 81 e 82%, respectivamente, indicando que o sistema de analises por infravermelho proximo pode substituir com vantagens os metodos convencionais sem comprometer a precisao e exatidao dos resultados.
The secondary structure of proteins in liquid, frozen, and dried egg-white samples: Effect of gamma irradiation treatment

ABSTRACT In this study, the effect of gamma irradiation treatment on the secondary structure of the whole egg-white proteins was investigated. Liquid, frozen, and dried egg-white samples were subjected to gamma irradiation doses of 0, 1, 2, and 3 kGy. Protein secondary structures were determined by Attenuated Total Reflectance Fourier-Transform Infrared (ATR-FTIR) spectroscopy. In liquid egg-white samples, irradiation caused a conformational change from α-helix to disordered structure. Besides, a decrease in intermolecular β-sheet content was detected. On the other hand, no significant changes were observed in the secondary structure of frozen and dried egg-white samples. The significance of the results and their possible relationship to the viscosity decrease was also discussed. It was suggested that radiation-induced structural rearrangements may play a key role in the viscosity decrease.
Cell Performances of Inorganic-Organic Hybrid Solar Cells Using Fluorosilicate/Phosphorus Oxide Composite Microparticles

We report on the structural characterization and the photovoltaic performances of novel photoelectric conversion materials fabricated by simplified and cheap procedures based on a chemical approach. Our prepared composite microparticles were composed of fluorosilicate/phosphorus oxide holding together by ammonium. When such composite microparticles were used in the active layer of the hybrid solar cells, the relatively high Jsc was obtained by causing the adequate carrier transport from the active layer to each electrode, attaining the best photovoltaic performance with a PCE of 4.45 %. These findings indicate that the fluorosilicate/phosphorus oxide composite microparticles have sufficient ability as the photoelectric conversion materials.
MECHANICAL PROPERTIES OF THIN FILMS DEPOSITED BY TVA AND G-TVAMETHODS

The Thermionic Vacuum Arc (TVA) plasma is a powerful technique able to growth thin films using solids as precursor in vacuum conditions. A large range of materials, even refractory metals were successfully deposited using this technique. In this paper an extension of TVA method from gases (G-TVA) for DLC synthesis is reported. The novelty consists in using a flow of methane, instead of the carbon rod used as anode in the classic TVA method. This expands enor- mously the applicability of the TVA technique for the synthe- sis of thin films from solids to gas precursors. The mechanical properties of the films deposited were investigated. The de- scribed methods enable to prepare carbon films with wide range of mechanical properties from polymer-like carbon up to hard diamond-like carbon.
Penerapan Teknologi Visible-Near Infrared Spectroscopy untuk Prediksi Cepat dan Simultan Kadar Air Buah Melon (Cucumis melo L.) Golden

Kadar air merupakan salah satu atribut kualitas yang penting pada komoditas hortikultura. Penetapan kadar air buah melon dengan metode konvensional memakan waktu yang lama dan perlu merusak sampel buah. Penelitian ini bertujuan untuk memprediksi kadar air buah melon golden menggunakan teknologi visible-near infrared spectroscopy (Vis-NIRS). Metode koreksi spektra orthogonal signal correction (OSC) diterapkan pada spektra original untuk meningkatkan kehandalan model kalibrasi. Partial least squares regression (PLSR) digunakan sebagai metode pendekatan regresi untuk mengekstraksi data spektra Vis-NIRS. Hasil penelitian membuktikan bahwa Vis-NIRS dapat diandalkan untuk memprediksi kadar air buah melon golden. Metode koreksi spektra OSC mampu memperkecil jumlah principal component (PC) pada spektra original. Linieritas pada model kalibrasi menggunakan spektra OSC tercatat memperoleh nilai tertinggi sebesar 0,92. Ratio of performance to deviation (RPD) pada spektra OSC menampilkan nilai tertinggi pula yaitu 3,63. Model kalibrasi yang diperoleh pada penelitian ini dapat ditransfer ke dalam spektrometer Vis-NIRS untuk prediksi kadar air melon golden secara cepat dan simultan.
Dual Wavelength and First Order Derivative Spectrophotometric Methods for Simultaneous Estimation of Rivaroxaban and Aspirin in Synthetic Mixture

Two simple, sensitive, accurate and precise spectrophotometric methods were developed and validated for simultaneous estimation of binary mixture of Rivaroxaban and Aspirin in their pure form and synthetic mixture in difficult ratio 1:20(Rivaroxaban: Aspirin). The first method is the dual wavelength method, where 250 nm and 286.44 nm were selected as λ1 and λ2 for determination. And the two wave length for determination of Aspirin were 243.53 nm and 259.2 nm. The linearity range was studied over concentration ranges (2 – 12) μg/mL and (40-240) μg/mL for Rivaroxaban and Aspirin respectively in both methods, with correlation coefficients not less than 0.9996 and up to 0.9999 respectively in a row. The limit of detection (LOD) and limit of quantification (LOQ) were 0. 24μg/mL and 0. 82 μg/mL for Rivaroxaban and for Aspirin were7.03 μg/mL and 22.01 μg/mL respectively in the first method. The second method is First order derivative. The wavelengths 275.25 nm and 250 nm were selected as zero crossing point to determine Rivaroxaban and Aspirin in a row. The LOD and LOQ were 0.31 μg/mL and 0.95 μg/mL for Rivaroxaban; and for Aspirin was found to be7.13 μg/Ml and 21. 60μg/mL respectively. The two methods were successfully validated as per ICH guidelines. Both methods were simple, sensitive and rapid. Original Research Article
Structured Hypothesis Development in Criminal Investigation: A method aimed at providing a broad and objective starting point for a criminal investigation

The Structured Hypothesis Development in Criminal Investigation (SHDCI) method aims to assist detectives in developing an adequate set of hypotheses, which prepares the ground for a broad and objective investigation. The method aims to protect the innocent, while also enabling the detectives to discover the full scope of the incident under investigation. SHDCI builds on theory and principles from cognitive psychology, scientific methodology, logical reasoning, law and criminal investigation best practice. The method is developed in a Norwegian context, but builds on universally accepted legal principles, and SHDCI may therefore be relevant for implementation in other jurisdictions.
Facile Construction of Imidazo‐benzothia‐/oxazepines by a Quick and Efficient van Leusen Protocol

A facile, elegant, and operationally simple van Leusen protocol for the synthesis of bicyclic dihydrodibenzo[b,f]imidazo[1,2-d][1,4]thiazepines and dihydrodibenzo[b,f]imidazo[1,2-d][1,4]oxazepines is developed. The reaction proceeds without any catalyst and in high yields to provide bicyclic imidazo-dibenzothia-/oxazepines at room temperature by using dibenzothiazepines or dibenzoxazepines as imine counterparts.
Small-Footprint Wake Up Word Recognition in Noisy Environments Employing Competing-Words-Based Feature

This paper proposes a small-footprint wake-up-word (WUW) recognition system for real noisy environments by employing the competing-words-based feature. Competing-words-based features are generated using a ResNet-based deep neural network with small parameters using the competing-words dataset. The competing-words dataset consists of the most acoustically similar and dissimilar words to the WUW used for our system. The obtained features are used as input to the classification network, which is developed using the convolutional neural network (CNN) model. To obtain sufficient data for training, data augmentation is performed by using a room impulse response filter and adding sound signals of various television shows as background noise, which simulates an actual living room environment. The experimental results demonstrate that the proposed WUW recognition system outperforms the baselines that employ CNN and ResNet models. The proposed system shows 1.31% in equal error rate and 1.40% false rejection rate at a 1.0% false alarm rate, which are 29.57% and 50.00% relative improvements compared to the ResNet system, respectively. The number of parameters used for the proposed system is reduced by 83.53% compared to the ResNet system. These results prove that the proposed system with the competing-words-based feature is highly effective at improving WUW recognition performance in noisy environments with a smaller footprint.
Post-transplant Lymphoproliferative Disorders: Single Center Case Series and Literature Review

4Nephrology Section, Internal Medicine Department, King Abdul-Aziz Medical City. Riyadh. KSA Sumayyah Altamimi1, Mohamed Al Shuaibi1, Mohamed Alnahdi1, Abdulrahman Altheaby4, Hanouf Almutairi5, Moussab Damlaj123, Ahmed Al Askar123, Ayman Hejazi123, Mohsen Alzahrani123, Khadega A. Abuelgasim123, Hend Salama123, Bader Alahmari123, Abdulrahman Alraiza123, Haythem Almuhayani1, Fahad Alanzi1, Husam Alsadi1, Giamal Edin Gmati123*
COVID-19 Epidemic in Bangladesh among Rural and Urban Residents: An Online Cross-Sectional Survey of Knowledge, Attitudes, and Practices

As other nations around the world, Bangladesh is facing enormous challenges with the novel coronavirus (COVID-19) epidemic. To design a prevention and control strategy for this new infectious disease, it is essential to first understand people’s knowledge, attitudes, and practices (KAP) regarding COVID-19. This study sought to determine KAP among rural and urban residents as well as predictors of preventive practices associated with COVID-19 in Bangladesh. A social media-based (Facebook) cross-sectional survey was conducted to explore these variables among Bangladeshi adults. Of 1520 respondents who completed the questionnaire, low level of good or sufficient knowledge of COVID-19 (70.8%) and practices associated with COVID-19 (73.8%) were found. Despite the low level of knowledge and practices, respondents’ attitude (78.9%) towards COVID-19 was relatively high. Results suggest that compared to urban, rural residents are at a particularly high risk of COVID-19 because they were found to have significantly lower knowledge (p = 0.001) and practice levels (p = 0.002) than were urban residents. Multivariable logistic regression analysis identified gender, education, knowledge of COVID-19 transmission, signs and symptoms, and sources of information as factors significantly associated with preventive practices against COVID-19. Further attention and effort should be directed toward increasing both knowledge and practices targeting the general population in Bangladesh, particularly the rural and less educated residents. Findings from this study provide baseline data that can be used to promote integrated awareness of and effective health education programs about COVID-19 prevention and control strategies in Bangladesh, and similar COVID-19 endemic countries.
Deterioration of the Mechanical Properties of FFF 3D-Printed PLA Structures

Poly(lactic acid) (PLA) is a biodegradable polymer material used for the fabrication of objects by fused filament fabrication (FFF) 3D printing. FFF 3D printing technology has been quickly spreading over the past few years. An FFF-3D-printed object is formed from melted polymer extruded from a nozzle layer-by-layer. The mechanical properties of the object, and the changes in those properties as the object degrades, differ from the properties and changes observed in bulk objects. In this study we evaluated FFF-3D-printed objects by uniaxial tensile tests and four-point flexural tests to characterize the changes of three mechanical properties, namely, the maximum stress, elastic modulus, and breaking energy. Eight types of test pieces printed directly by an FFF 3D printer using two scan patterns and two interior fill percentages (IFPs) were tested by the aforesaid methods. The test pieces were immersed in saline and kept in an incubator at 37 °C for 30, 60, or 90 days before the mechanical testing. The changes in the mechanical properties differed largely between the test piece types. In some of the test pieces, transient increases in strength were observed before the immersion degraded the strength. Several of the test piece types were found to have superior specific strength in the tests. The results obtained in this research will be helpful for the design of PLA structures fabricated by FFF 3D printing.
Pengaruh Kinerja Keuangan, Kebijakan Dividen dan Umur Perusahaan Terhadap Nilai Perusahaan di Moderasi Ukuran Perusahaan

Study was conducted in the consumer goods industry sector companies listed on the Indonesia Stock Exchange (IDX) in 2015-2018. The aim is to determine the effect of financial performance, dividend policy, and age of the company on the value of the company which is moderated by the size of the company. The sample of 37 companies. The variables used are liquidity, capital structure, profitability, dividend policy, the age of the company to the value of the company with the size of the company as moderation. Results showed that there were influences on financial performance, dividend policy, company age, company size on firm value and company size able to moderate the influence of capital structure, profitability, dividend policy, company age on company value and company size unable to moderate the effect of liquidity on firm value.