Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectra of the Energy Operator of Four-Electron Systems in the Impurity Hubbard Model. Triplet State

We consider the energy operator of four-electron systems in an impurity Hubbard model and investigated the structure of essential spectra and discrete spectrum of the system in the first triplet state in a one-dimensional lattice. For investigation the structure of essential spectra and discrete spectrum of the energy operator of four-electron systems in an impurity Hubbard model, for which the momentum representation is convenient. In addition, we used the tensor products of Hilbert spaces and tensor products of operators in Hilbert spaces and described the structure of essential spectrum and discrete spectrum of the energy operator of four-electron systems in an impurity Hubbard model. The investigations show that there are such cases: 1) the essential spectrum of the system consists of the union of no more than eight segments, and the discrete spectrum of the system consists of no more than three eigenvalues; 2) the essential spectrum of the system consists of the union of no more than sixteen segments, and the discrete spectrum of the system consists of no more than eleven eigenvalues; 3) the essential spectrum of the system consists of the union of no more than three segments, and the discrete spectrum of the system is the empty set. Consequently, the essential spectrum of the system consists of the union of no more than sixteen segments, and the discrete spectrum of the system consists of no more than eleven eigenvalues.
Slide projector calibration based on calibration of digital camera

With the development of non-contact measurement in the close-range photogrammetry, the use of the projector becomes frequent and familiar. In order to take full advantages of the slide projector, the slide projector is steered on the basis of the traditional method of the digital camera taking images. The paper proposes a flexible and effective technique for the slide projector calibration based on the calibration of digital camera. The technique only requires a planar grid, a rotating platform and a computer. The planar grid is put on the center of the rotating platform functioned as a control ground. The computer can control the rotating platform to rotate regularly and dominate the slide projector and the digital camera to project slides and take images automatically and synchronously. The algorithm with 2D direct linear transformation (2D-DLT) and collinear equations is used to calibrate the digital camera first. By the similar algorithm above, the interior parameters of the slide projector can be determined too. Then the calibration of the slide projector is achieved finally. The operation method in detail and the algorithm are addressed systematically and entirely. The feasibility and the exactness of the technique for the calibration of the slide projector based on the digital camera calibration put forward in this paper are verified by the results of real experimental data.
Interferometric stain measurement by arbitrarily configured surface-mounted, optical fibers

The phase change of light traveling in a single-mode, arbitrarily configured optical fiber when the fiber is subjected to an arbitrary strain field is described by an integral equation. Assumptions concerning strain transfer from the strained body to a surface mounted optical-fiber sensor are experimentally verified. The general mathematical description is applied to two interferometric optical-fiber strain sensor geometries and is verified by experiment. The lack of precise data about the mechanical and optical material properties of the fiber is circumvented through calibration. Extensions of this model to both embedded fibers and nonlinear fiber response are discussed. >
Seek Techniques For The Optotech 5984 Optical Disk Drive

Certain seek techniques were developed for the Optotech 5984 drive to accommodate the use of a stepper motor coarse actuator and a hardware environment designed to minimize complexity and to achieve a low-cost end-unit goal. Of these techniques, the following will be discussed: fine seek actuation offset compensation, and velocity control in fine seek actuation. The fine seek actuation offset compensation provides necessary correction to fine seek drive values due to the effects of the limited positioning resolution of the stepper motor coarse actuator. The velocity control technique developed for fine seek actuation provides sufficient velocity control at track crossing frequencies up to 15Khz using a relatively slow, low-cost microprocessor. *
Predictive Modeling of Multilayer Graphene Growth by Chemical Vapour Deposition on Co-Ni/Al2O3 Substrate using Artificial Neural Network

The uniqueness of multilayer graphene as extremely high carrier mobility, tune-able band gap and high elasticity has made it be considered as a high prospect engineering material that can be employed for several applications such as solar cells, field effect transistors, super-capacitors, batteries and sensors. In this study, the application of Artificial Neural Networks (ANN) for the predictive modeling of multilayer graphene (MLG) growth by chemical vapor deposition (CVD) on Co-Ni/Al2O3 substrate was investigated. Data comprises temperature, catalyst compositions, ethanol flowrates were generated using central composite experimental design and employed to obtain the MLG yield as the response. The data were subsequently used for predictive modeling using ANN. The findings show that the predictive values of the MLG yields were in good agreement with those obtained from the experimental runs having a coefficient of determination (R 2 ) of 0.988. KeywordsArtificial Neural Network, Chemical Vapour Deposition, Multilayer Graphene, Predictive modeling, Cobalt-Nickel substrate. How to cite this article: M.A. Muslim, Z. Yousif, M.A. Abdel Ghany and B.V. Ayodele “Predictive Modeling of Multilayer Graphene Growth by Chemical Vapour Deposition on Co-Ni/Al2O3 Substrate using Artificial Neural Network,” Engineering and Technology Journal, Vol. 37, Part C, No. 1, pp. 113-119, 2019.
Suramin, penciclovir, and anidulafungin exhibit potential in the treatment of COVID-19 via binding to nsp12 of SARS-CoV-2

Abstract COVID-19, for which no confirmed therapeutic agents are available, has claimed over 48,14,000 lives globally. A feasible and quicker method to resolve this problem may be ‘drug repositioning’. We investigated selected FDA and WHO-EML approved drugs based on their previously promising potential as antivirals, antibacterials or antifungals. These drugs were docked onto the nsp12 protein, which reigns the RNA-dependent RNA polymerase activity of SARS-CoV-2, a key therapeutic target for coronaviruses. Docked complexes were reevaluated using MM-GBSA analysis and the top three inhibitor-protein complexes were subjected to 100 ns long molecular dynamics simulation followed by another round of MM-GBSA analysis. The RMSF plots, binding energies and the mode of physicochemical interaction of the active site of the protein with the drugs were evaluated. Suramin, Penciclovir, and Anidulafungin were found to bind to nsp12 with similar binding energies as that of Remdesivir, which has been used as a therapy for COVID-19. In addition, recent experimental evidences indicate that these drugs exhibit antiviral efficacy against SARS-CoV-2. Such evidence, along with the significant and varied physical interactions of these drugs with the key viral enzyme outlined in this investigation, indicates that they might have a prospective therapeutic potential in the treatment of COVID-19 as monotherapy or combination therapy with Remdesivir. Graphical Abstract Communicated by Ramaswamy H. Sarma
Bayesian detection of Wi-Fi transmitter RF fingerprints

A transient detection technique is presented for the detection of the turn-on transients of Wi-Fi radios. The turn-on transients are detected by a Bayesian change detector, which estimates the time instant when the transmitter starts to power up. The proposed technique is verified with the transient data collected from a number of Wi-Fi radios and it is shown that the ramp detector outperforms the abrupt change detector in detecting the turn-on transients of Wi-Fi transmitters.
Validation of the Comprehensive Arm Prosthesis and Rehabilitation Outcomes Questionnaire

Purpose: To develop and psychometrically evaluate the Comprehensive Arm Prosthesis and Rehabilitation Outcomes Questionnaire (CAPROQ), a 28-item, self-report measure of three key facets associated with successful rehabilitation (perceived function, satisfaction, and pain) designed specifically for the adult upper limb loss (ULL) population. Materials and Methods: Using a national sample of adult ULL patients (N=240), factor structure, internal consistency, convergent/concurrent validity, and known group validity of the total CAPROQ score and three subscale scores were evaluated. Results: Confirmatory factor analysis indicated adequate-to-strong factor loading on each subscale: satisfaction (.623-.913), perceived function (.572-.860) and pain (.422-.834). Internal consistencies for the total measure and measure subscales were good-to-excellent (.89-.95) and convergent validity indicated moderate-to-strong statistically significant associations between the CAPROQ subscales and relevant measures. Concurrent validity showed moderate associations between CAPROQ total score, prosthetic wear time, and psychosocial adjustment scores. Known group validity indicated significant differences on CAPROQ total score between initial and definitive fitting stages (p=.012). Conclusion: Psychometric evaluation indicated that the CAPROQ and CAPROQ subscales were structurally sound, internally consistent, and demonstrated convergent validity with currently used assessments of perceived functioning, satisfaction, and pain. CAPROQ is needed for guiding individual patient care, improving care models and future prosthesis selection and development.
The experience of the SJ X2000 tilting train and its effect on the market

Abstract X2000 is a tilting train that was introduced as a new product by the Swedish State Railways (SJ) on the 450 km line between Stockholm and Gothenburg in 1991. Travelling times have been reduced from 4 to 3 h or 25 per cent by the tilting device and increased top speed up to 200 km/h. Now rail can really compete with air. The rail market share of the rail-air market between the Stockholm and Gothenburg regions increased from 42 to 57 per cent between 1990 and 1996. The success of X2000 can, in addition to the travelling times, also be explained by higher comfort, service and quality as well as by the image of X2000 as a new product.
In Silico and In Vitro Evaluation of the Antimicrobial Potential of Bacillus cereus Isolated from Apis dorsata Gut against Neisseria gonorrhoeae

Antimicrobial resistance is a major public health and development concern on a global scale. The increasing resistance of the pathogenic bacteria Neisseria gonorrhoeae to antibiotics necessitates efforts to identify potential alternative antibiotics from nature, including insects, which are already recognized as a source of natural antibiotics by the scientific community. This study aimed to determine the potential of components of gut-associated bacteria isolated from Apis dorsata, an Asian giant honeybee, as an antibacterial against N. gonorrhoeae by in vitro and in silico methods as an initial process in the stage of new drug discovery. The identified gut-associated bacteria of A. dorsata included Acinetobacter indicus and Bacillus cereus with 100% identity to referenced bacteria from GenBank. Cell-free culture supernatants (CFCS) of B. cereus had a very strong antibacterial activity against N. gonorrhoeae in an in vitro antibacterial testing. Meanwhile, molecular docking revealed that antimicrobial lipopeptides from B. cereus (surfactin, fengycin, and iturin A) had a comparable value of binding-free energy (BFE) with the target protein receptor for N. gonorrhoeae, namely penicillin-binding protein (PBP) 1 and PBP2 when compared with the ceftriaxone, cefixime, and doxycycline. The molecular dynamics simulation (MDS) study revealed that the surfactin remains stable at the active site of PBP2 despite the alteration of the H-bond and hydrophobic interactions. According to this finding, surfactin has the greatest antibacterial potential against PBP2 of N. gonorrhoeae.
Production and Recovery of Lactic Acid for Polylactide—An Overview

In the recent past the ultimate disposability of synthetic plastics has been a greater environmental concern, and it has triggered the R&D efforts in the designing of material with an environmentally friendly life cycle by integrating material design concepts with ultimate disposability, resource utilization, and conservation. Traditionally, all plastics have been manufactured from nonrenewable petroleum resources, and these plastics are nonbiodegradable. Conventional disposal methods include incineration and secured landfill, which are associated with many environmental problems, such as production of dioxins. The continued depletion of landfill space and problems associated with incineration have led to the development of biodegradable plastics such as polylactides (PLA), which are manufactured from lactic acid that in turn is produced from starch. Although production processes for lactic acid and PLA are well known, very few processes have been commercialized and still the cost of PLA is not competitive with synthetic plastics. The crux of the PLA production technology is the fermentative production of optically active lactic acid and its recovery. Many processes are reported in the literature and through patents for the recovery of optically active lactic acid and still offer an extensive scope for research and development. This article critically reviews the production and recovery processes for lactic acid and PLA production.
Rule Based Algorithm for Meter Placement and ANN Based Bus Voltage Estimation in Radial Power Distribution System

The single most important parameter for assessing the health of a power distribution system is the bus voltages. Depending on the information of the bus voltages, different corrective measures such as optimal capacitor switching, feeder reconfiguration, load balancing, etc. are undertaken. Presently, under the ambit of distribution automation (DA) system, the bus voltages are either directly measured or estimated (using state estimation technique) from the data collected by the sensors and remote terminal units (RTU) placed in the system. Because of the radial structure of the power distribution system, a relatively large number of RTUs and sensors are required to be placed for a good quality of voltage estimation. To reduce the number of sensors and RTUs required, artificial neural networks (ANN) can be used effectively, without compromising the accuracy of bus voltage estimation. One such scheme for bus voltage estimation for radial distribution feeders is presented in this article. It is shown that instead of using a single ANN, if multiple ANNs are used, accuracy of the estimation increases considerably. However, the estimation accuracy depends on the locations of meters placed and the number of ANNs used. To determine the location of meters and the number of ANNs required for a given estimation accuracy, simple rule based algorithms are proposed in this article.
Cordycepin inhibits the proliferation and progression of NPC by targeting the MAPK/ERK and β-catenin pathways

Cordycepin is an extract from the Cordyceps genus of ascomycete fungi. In the present study, the anticancer potential of cordycepin against nasopharyngeal carcinoma (NPC), and the potential underlying mechanisms, were investigated. Using Cell Counting Kit 8, wound-healing and Transwell assays, cordycepin was found to reduce the viability and inhibit the migration of C666-1 cells in a dose-dependent manner. In addition, in colony formation assays, co-treatment with cordycepin and cisplatin inhibited the proliferation of C666-1 cells. Furthermore, RNA sequencing analysis identified 72 significantly differentially expressed genes and different signaling pathways that may be regulated by cordycepin. After treatment with cordycepin, the expression levels of ERK1/2, phosphorylated ERK1/2 and β-catenin were significantly downregulated. Therefore, cordycepin may be a novel candidate for NPC treatment or a co-treatment candidate with cisplatin in chemotherapy.
The Role of the Physical Environment in Supporting Organizational Creativity

Creativity has been underscored as a key factor to organizational adaptability and competitiveness in today's rapidly changing business environment. Designing as well as managing work environments that facilitate creativity have therefore received growing attention, resulting in a multitude of research examining the social–psychological work environment. Few studies, however, have focused on the contribution of the physical work environment to supporting creativity in the workplace. This study focuses on the role of the physical environment in supporting creativity in organizations by identifying specific physical features and attributes of the work environment perceived to promote or inhibit creativity. The research design compares four organizations publicly acclaimed for their innovative social–psychological work environments, but which are distinctly different in terms of the physical work environment. Quantitative and qualitative data were collected by means of survey questionnaires (N = 130). Results indicate that the physical work environment exerts indirect influence on creativity by contributing to two significant social–psychological conditions that are conducive to creativity, namely dynamism and freedom. The study specifies attributes of the physical work environment perceived to be positively and negatively associated with both of these conditions.
3.6‐GHz 10‐antenna array for mimo operation in the smartphone

A 10‐antenna array operating in the 3.6‐GHz band (3400–3800 MHz) for multi‐input multi‐output (MIMO) operation in the smartphone is presented. Each antenna in the proposed array is a microstripline‐fed open‐slot antenna with same small dimensions of 3 × 8 mm2 (0.036λ × 0.096λ, λ is the wavelength at 3.6 GHz). The proposed array consists of two symmetric five‐antenna arrays disposed, respectively, along two long side edges of the system ground plane of the smartphone. The proposed array is expected to be placed in the narrow spacing between the display panel and the long side edges of the smartphone. Acceptable isolation (better than about 10 dB) and good envelop correlation coefficient (ECC) of less than 0.1 for any two antennas in the proposed array is obtained. The maximum channel capacity of the proposed array in a 10 × 10 MIMO system is calculated to reach about 47 bps/Hz at 20‐dB signal‐to‐noise ratio, which is larger than four times that (11.5 bps/Hz) of the upper limit of an ideal 2 × 2 MIMO system with 100% antenna efficiency and zero ECC between antennas. Details of the proposed 10‐antenna array are described, and the experimental results are presented and discussed. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:1699–1704, 2015
Prospects of Maize (Corn) Wet Milling By-Products as a Source of Functional Food Ingredients and Nutraceuticals

Maize (corn) consists of distinct parts, germ, endosperm, and pericarp, with different chemical compositions. During the maize wet milling process, the maize is disintegrated into the main product starch and by-products, including corn germ, corn fiber and corn gluten (the technical term for corn endosperm specific proteins and not the same as wheat gluten). These by-products are used as low-value animal feed products. The corn germ contains high amounts of tocols and phospholipids, while the corn gluten is rich in carotenoids and the corn fiber fraction is rich in phytosterols and complex carbohydrates. Each by-product has the potential to serve as a precursor in the manufacture of functional food ingredients or nutraceuticals that have antioxidant, anti-inflammatory, hypocholesterolemic, hypolipidemic and hypoglycemic properties. These food ingredients/nutraceuticals can be obtained through physical, chemical or enzymatic processes. Some nutraceuticals and food ingredients with market potential include corn fiber gum, oil, arabinoxylans, and xylo-oligosaccharides from corn fiber; corn germ oil and phospholipid ester from corn germ; and carotenoids and oligopeptides from corn gluten. This review focuses on current and prospective research into the use of corn germ, corn fiber and corn gluten in the production of potentially high-quality food ingredients or nutraceuticals.
Minimized Cost Through Optimized Tolerance Distribution In Optical Assemblies

The cost to fabricate most mechanical systems and components is in inverse proportion to the tolerances applicable. Each system performance requirement has various sensitivities to errors in certain parameters (dimensions). The total cost to produce a system is the sum of the cost of each tolerance plus certain constant factors that cannot be reduced. The performance errors of the system are the sum of the contributions of each tolerance. This paper describes a methodology that allows the designer to assign and distribute the optical/mechanical tolerances in a system to minimize the cost of production while maintaining required system performance. The practical application of this method can lead to significantly reduced cost and increased ease of manufacture without risking or sacrificing performance.
Computational Approaches for Supporting Combination Therapy in the Post-Aducanumab Era in Alzheimer’s Disease

With the approval of aducanumab on the “Accelerated Approval Pathway” and the recognition of amyloid load as a surrogate marker, new successful therapeutic approaches will be driven by combination therapy as was the case in oncology after the launch of immune checkpoint inhibitors. However, the sheer number of therapeutic combinations substantially complicates the search for optimal combinations. Data-driven approaches based on large databases or electronic health records can identify optimal combinations and often using artificial intelligence or machine learning to crunch through many possible combinations but are limited to the pharmacology of existing marketed drugs and are highly dependent upon the quality of the training sets. Knowledge-driven in silico modeling approaches use multi-scale biophysically realistic models of neuroanatomy, physiology, and pathology and can be personalized with individual patient comedications, disease state, and genotypes to create ‘virtual twin patients’. Such models simulate effects on action potential dynamics of anatomically informed neuronal circuits driving functional clinical readouts. Informed by data-driven approaches this knowledge-driven modeling could systematically and quantitatively simulate all possible target combinations for a maximal synergistic effect on a clinically relevant functional outcome. This approach seamlessly integrates pharmacokinetic modeling of different therapeutic modalities. A crucial requirement to constrain the parameters is the access to preferably anonymized individual patient data from completed clinical trials with various selective compounds. We believe that the combination of data- and knowledge driven modeling could be a game changer to find a cure for this devastating disease that affects the most complex organ of the universe.