Miracle-dz/UniFAR-FTUs huggingface dataset:
How Does Google Search Affect the Stock Market? Evidence from Indian Companies

Google search data has received considerable attention for its predictive ability in various social and economic outcomes. In the arena of investments, a surge in online searches indicates an enhanced interest of investors, particularly retail, in that company. In this article, we have examined the association between Google search and stock prices in a sample of Indian companies. The results suggest that an increase in Google search is positively related to future excess stock returns, liquidity and volatility. The positive influence of Google search on stock prices, however, is temporary and reverses in the next week. We further show that the market sentiment moderates the interconnection between Google searches and future excess stock returns. The findings are in consonance with the ‘price pressure hypothesis’ of Barber and Odean (2008, Review of Financial Studies, 21(2), 785–818).
Influence of the piezoelectric ringing on the polarisation contrast of the KRTP Pockels cell in the modulation frequency range up to 10 MHz

Pockels cell is one of the major components limiting the pulse repetition rate of high-power laser sources. The birefringence of the electro-optical crystal is controlled by the electric voltage which allows high-frequency modulation of intracavity losses, thus unlocking the MHz frequency band for pulse repetition rate. The purpose of this work was to investigate the influence of the piezoelectric ringing on the polarisation contrast of the potassium rubidium titanyl phosphate (KRTP) based electro-optical modulator in the frequency range up to 10 MHz. This was done by complex impedance and polarisation contrast measurements, as well as comparison to numerically identified fundamental frequencies of the crystal. The behaviour and dominant mechanism behind the effects of piezoelectric ringing were found to be distinct in three modulation frequency ranges: up to 2 MHz, above 2 MHz, and above 6.3 MHz. In particular, above 6.3 MHz, no piezoelectric-ringing-induced depolarisation was observed. These findings make KRTP based Pockels cells attractive for high-repetition-rate pulse picking applications.
Optimization of selective laser etching for assembly-free 3D micromechanic fabrication

The glass was proven to be a material of choice in many science and engineering fields. While various glass processing techniques exist, most of them are very complicated or completely unable to produce 3D high-fidelity (~μm) structures out of glass. It limits the adoption of 3D glass structures in many areas. One of the most promising technology to produce 3D glass structures is selective laser etching (SLE). Potentially, many types of glasses and crystals can be processed in this way. Nevertheless, this process is not exploited widely. The problems lie in the complex nature of light-matter interactions needed to induce modifications and challenges in optimizing the technique for true 3D fabrication. Laser parameters, translation velocity, etching properties are all important factors that cannot be disregarded. Overall, while the premise of SLE is simple, so far realization was proven to be rather complicated. Thus, this work aims to discover ways to simplify the production methodology of SLE while still maintaining sufficiently low surface roughness of a few hundred of nanometers and the possibility to acquire true 3D structures. A compromise between various fabrication parameters is found which allows meeting these criteria. Non-intuitive dependencies on scanning parameters are obtained which shows that not only radiation and material interaction are important, but also scanning techniques themselves change inscribed modifications. Optimized techniques are then used to manufacture complex high surface quality structures such as microfluidic systems and assembly-free movable micromechanical structures proving that this optimization can be used for functional device fabrication.
Technological Adaption and Open Innovation in SMEs: An Strategic Assessment for Women-Owned SMEs Sustainability in Bangladesh

Technological adaption and innovative activities foster small and medium enterprises (SMEs) growth by allowing production and process diversifications. Furthermore, open innovation practices, especially SMEs, rely on several firms’ specific attributes, and their impact varies accordingly. This study’s motivation is to explore the impact of technological adaptation and open innovation on SMEs run by women entrepreneurs and the challenges encountered in implementing open innovation. A sample of 580 questionnaires was sent to target SMEs, following the stratified random sampling technique, of which a complete 375 responses were duly received. The open innovation has been measured through eight innovative practices, reflecting the exploration and exploitation of technology in SMEs. This study found that women-owned enterprises were involved in many open innovation policies during the last five years. The result of this study indicated that there are no significant differences between manufacturing and industry regarding open innovation practices. Still, women-owned enterprises are more impressively engaged in open innovation practices. The research also identified that women-owned SMEs follow open innovation, mainly for market-related intentions, to compete with competitors and meet customers’ demands. The study contributes to the theoretical and practical implications. Further, the study is helpful for SMEs, researchers, practitioners, and decision-makers.
Isolation, Purification and Characterization of Proteins in “Señorita” Banana (Musa acuminata (AAA) ‘Señorita’) Pulp with Bioactive Peptides Exhibiting Antihypertensive and Antioxidant Activities

Banana is one of the most important crops, providing multiple benefits. Although it has been widely studied for its health benefits, little information can be found about its proteins. This study determined the antihypertensive and antioxidant activities of the crude, purified, and hydrolyzed protein extracts from ‘Señorita’ banana pulp. Crude proteins were extracted using Tris-HCl buffer and purified through ammonium sulfate precipitation, dialysis, and gel filtration chromatography. The protein content of the crude, partially purified, and purified extracts were found to be 167.32, 120.45, and 28.51 μg·mL−1, respectively, with major protein having an approximate molecular weight of 15 kDa. These extracts were then subjected to enzymatic hydrolysis for release of bioactive peptides prior to ACE inhibitory and antioxidant activities determination. Among these samples, the undigested crude extract had the highest ACE inhibitory activity (85.20%). There was also an observable increase in ACE inhibition of the digested samples with increased digestion time. Meanwhile, the 3-h and 4-h crude digests had the highest DPPH radical scavenging activity with 30.82% and 34.74%, respectively. These were not significantly different from the activity of the standard, ascorbic acid. A general decrease in DPPH radical scavenging activity of the samples was observed with increased digestion time. These observations were coherent with the in silico analysis of the putative major protein, lectin, which showed that its enzymatic hydrolysis releases ACE inhibitor and antioxidant peptides.
Development of a High-Speed, Low-Latency Telemanipulated Robot Hand System

This paper focuses on development of a high-speed, low-latency telemanipulated robot hand system, evaluation of the system, and demonstration of the system. The characteristics of the developed system are the followings: non-contact, high-speed 3D visual sensing of the human hand, intuitive motion mapping between human hands and robot hands, and low-latency, fast responsiveness to human hand motion. Such a high-speed, low-latency telemanipulated robot hand system can be considered to be more effective from the viewpoint of usability. The developed system consists of a high-speed vision system, a high-speed robot hand, and a real-time controller. For the developed system, we propose new methods of 3D sensing, mapping between the human hand and the robot hand, and the robot hand control. We evaluated the performance (latency and responsiveness) of the developed system. As a result, the latency of the developed system is so small that humans cannot recognize the latency. In addition, we conducted experiments of opening/closing motion, object grasping, and moving object grasping as demonstrations. Finally, we confirmed the validity and effectiveness of the developed system and proposed method.
Health technology assessment in low- and middle-income countries: a case study of trastuzumab for early and locally advanced HER-2 positive breast cancer in Tunisia

The role of health technology assessment (HTA) in low- and middle-income countries (LMICs) has become increasingly important in order to inform resource allocation and wider health policy decision-making. Using the case study of Tunisia’s first published HTA on trastuzumab in early and locally advanced HER2 positive breast cancer, we aim to evaluate how the key principles and elements of HTA might be applied in the assessment of health interventions undertaken by emerging HTA agencies in LMICs, in light of likely capacity and resource constraints. We critically evaluate the Tunisian HTA in the context of widely cited ‘best practice’ guidelines to determine how the assessment conducted by the Tunisian National Authority for Assessment and Accreditation in Healthcare aligns with recommended HTA methods. We find the Tunisian trastuzumab HTA to be an encouraging example of the ability of a newly established agency to conduct a transparent and scientifically rigorous evidence driven assessment. We draw on lessons learned in other countries and present a number of ongoing research and policy initiatives to promote the implementation of HTA, given resource constraints; in order to formulate recommendations for future HTA practice in Tunisia and LMICs, respectively. We discuss the sharing of evidence and resources and the potential of stakeholder engagement in building and strengthening HTA capacity worldwide.
Opinion Classification of Product Reviews Using Naïve Bayes, Logistic Regression and Sentiwordnet: Challenges and Survey

In recent years, automated opinion classification has evolved as one of the most demanding area in natural language processing. Many such systems have been implemented and developed for the summarization and classification of text and reviews of online products. There are many data sources and domains which sells the online products, such as Amazon, Flipkart, Snapdeal etc. In the same direction, this paper is intended to present a detailed review and comparative analysis of various existing sentiment analysis algorithms especially for the Amazon products, which have worked upon the supervised learning techniques called Naïve Bayes, logistic regression and SentiWordNet. Various key parameters and aspects of such a comparative tour are the use of feature reduction method, sentiment polarity, dataset domain and sources, product name, data set size and classifier. Further this paper includes the discussion on their accuracy results; additional results including important findings; and needs, challenges and limitations. Lastly, the performance of these algorithms is evaluated by comparing the % usage of the key parameters.
Technology computer aided design of 29.5% efficient perovskite/interdigitated back contact silicon heterojunction mechanically stacked tandem solar cell for energy-efficient applications

Abstract. A 29.5% efficient perovskite/SiC passivated interdigitated back contact silicon heterojunction (IBC-SiHJ) mechanically stacked tandem solar cell device has been designed and simulated. This is a substantial improvement of 40% and 15%, respectively, compared to the transparent perovskite solar cell (21.1%) and Si solar cell (25.6%) operated individually. The perovskite solar cell has been used as a top subcell, whereas 250- and 25-μm-thick IBC-SiHJ solar cells have been used as bottom subcells. The realistic technology computer aided design analysis has been performed to understand the physical processes in the device and to make reliable predictions of the behavior. The performance of the top subcell has been obtained for different acceptor densities and hole mobility in Spiro-MeOTAD along with the impact of counter electrode work function. To incorporate the effect of material quality, the influence of carrier lifetimes has also been studied for perovskite top and IBC-SiHJ bottom subcells. The optical and electrical behavior of the devices has been obtained for both standalone as well as tandem configuration. Results reported in this study reveal that the proposed four-terminal tandem device may open a new door for cost-effective and energy-efficient applications.
Bendable metal oxide thin-film transistors and circuits for analog electronics applications

The tremendous advances flexible electronics has experienced have led to the demonstration and - in some cases - commercialization of a plethora of devices, such as foldable displays, ubiquitously integrated sensor systems, and imperceptible implants. All these systems call for specialized analog circuits capable to transmit and receive data, condition sensors, drive actuators or control powering devices. Nevertheless, the current availability of materials and processes compatible with flexible foils imposes limitations to the realization of high-performance flexible analog systems. Among state-of-the-art technologies, amorphous metal oxides – and especially Indium-Gallium Zinc-Oxide (IGZO) – thin-film-transistors (TFTs), are extremely suited due to their electrical and mechanical performance. Here, we present TFTs based on IGZO semiconductor and Al2O3 insulating layers on polyimide substrates. First, we summarize different approaches to reduce the transistor channel length (down to 160 nm), together with their influence on the AC performance. Even though sub-500 nm lengths are demonstrated for TFTs fabricated using vertical structures, direct laser writing and focused ion beam milling, the highest transit and oscillation frequencies of respectively 135 MHz and 398 MHz, are achieved by 500 nm long self-aligned TFTs. We then show how flexible IGZO TFTs enable the realization of complex, flexible analog circuits operating at frequencies up to 20 MHz. However, even if remarkable performances are demonstrated for flexible NMOS circuits, their unipolar characteristics results in limited gain, high power consumption and complex design. To overcome this, we also show how the complementation of IGZO with ptype carbon nanotubes results in flexible common-source CMOS amplifiers with gain of 28.7 dB.
Resistive Switching in Pt ∕ Al2O3 ∕ TiO2 ∕ Ru Stacked Structures

The electric-pulse-induced resistive switching properties of TiO 2 , Al 2 O 3 , Al 2 O 3 /TiO 2 , and Al 2 O 3 /TiO 2 /Al 2 O 3 thin films were studied by current-voltage (I-V) measurements using Pt/insulator/Ru structures and conductive atomic force microscopy. The switching parameters of the TiO 2 film were stable, whereas those of the Al 2 O 3 films show random variations during repeated I-V measurements. Both films show resistive switching by a filamentary switching mechanism with linear conduction behavior in the low V region. The stacked film shows a bias polarity-dependent switching behavior. This suggests that the nucleation of the conducting filaments occurs at the interface where the electrons are injected.
A validated HPTLC Method for Simultaneous estimation of two marker compounds in Aegle marmelos (L.) Corr., (Rutaceae) root bark

To develop and validate a HPTLC method for the simultaneous quantification of aegelin and skimmianine in the barks of Aegle marmelos (L.) Corr. (Rutaceae) for the first time. The HPTLC system (CAMAG, Muttanz, Switzerland) with WinCATS software under window XP was used for the analysis of constituents. Separation of each constituents were obtained with the help of HPTLC plates pre-coated with silica gel 60F-254 plates (10×10 cm2) and solvent system of toluene-ethyl acetatate (7: 3, v/v). Scanning wavelength 262 nm was used for analysis in reflection/absorption mode. The developed method was validated for linearty, LOD, LOQ, accuracy and precision. Well defined spots were obtained in the solvent system of toluene: ethyl acetate (7:3,v/v). The linearity range for aegelin and skimmianine were found to be 1-12 μg/spot with correlation coefficients of 0.996±0.0054 and 0.987±0.0046, respectively, which were indicative of good linear dependence of peak area on concentration. Limit of detection (LOD) (0.101 ng and 0.125 ng for aegelin and skimmianine), limit of quantification (LOQ) (0.639 ng and 0.736 ng for aegelin and skimmianine), accuracy (% recovery 94.45 ±0.984 for aegelin and 95.76 ± 1.103 for skimmianine), and precision (CV< 5%, for both intra-day and inter-day precisions). The method was found to be reproducible and convenient for quantitative analysis of these compounds in Aegle marmelos (L.) Corr.
Associations between the ICAM1 gene polymorphisms and atherosclerotic cardiovascular disease risk, including hypercholesterolemia, in rural Thais

We determine the relationships between single nucleotide polymorphisms (SNPs), including rs5498 and rs287432 on Intercellular adhesion molecule 1 gene (ICAM1) and atherosclerotic cardiovascular disease (ASCVD) susceptibility in patients with hypercholesterolemia (HCL). The clinical characteristics of 278 participants were assessed, classified to group having HCL and without HCL. ICAM1 SNPs Genotyping was performed by DNA sequencing and ICAM1 expression was measured using real-time PCR. Positive dominant model rs5498 subjects had twice the risk of HCL (P = 0.005). Participants with the rs5498 AG or GG variants and high ICAM1 mRNA expression (≥ 3.12) had 2.68 times the risk (P = 0.000), and those with a high LDL-C concentration (≥ 3.36 mmol/L) had 1.99 times the risk (P = 0.014) of developing ASCVD compared with those with low ICAM1 mRNA and LDL-C levels. Interestingly, participants carrying the rs5498 AG or GG variants who had tachycardia (resting heart rates (RHRs) > 100 beats/min) had a 5.40-times higher risk than those with a lower RHR (P = 0.010). It may consider the G allele in ICAM1 rs5498 is associated with a higher risk of ASCVD in Thai people with HCL, and is also positively associated with ICAM1 mRNA expression, LDL-C concentration, and RHR.
Aluminum Target Dissolution in Support of the Pu-238 Program

Selection of an aluminum alloy for target cladding affects post-irradiation target dissolution and separations. Recent tests with aluminum alloy 6061 yielded greater than expected precipitation in the caustic dissolution step, forming up to 10 wt. % solids of aluminum hydroxides and aluminosilicates. We present a study to maximize dissolution of aluminum metal alloy, along with silicon, magnesium, and copper impurities, through control of temperature, the rate of reagent addition, and incubation time. Aluminum phase transformations have been identified as a function of time and temperature, using X-ray diffraction. Solutions have been analyzed using wet chemical methods and X-ray fluorescence. These data have been compared with published calculations of aluminum phase diagrams. Temperature logging during the transients has been investigated as a means to generate kinetic and mass transport data on the dissolution process. Approaches are given to enhance the dissolution of aluminum and aluminosilicate phases in caustic solution.
Experiments with Trapped Ions and Ultrafast Laser Pulses

Title of dissertation: EXPERIMENTS WITH TRAPPED IONS AND ULTRAFAST LASER PULSES Kale Gifford Johnson Doctor of Philosophy 2016 Dissertation directed by: Professor Christopher R. Monroe Joint Quantum Institute University of Maryland Department of Physics and National Institute of Standards and Technology Since the dawn of quantum information science, laser-cooled trapped atomic ions have been one of the most compelling systems for the physical realization of a quantum computer. By applying qubit state dependent forces to the ions, their collective motional modes can be used as a bus to realize entangling quantum gates. Ultrafast state-dependent kicks [1] can provide a universal set of quantum logic operations, in conjunction with ultrafast single qubit rotations [2], which uses only ultrafast laser pulses. This may present a clearer route to scaling a trapped ion processor [3]. In addition to the role that spin-dependent kicks (SDKs) play in quantum computation, their utility in fundamental quantum mechanics research is also apparent. In this thesis, we present a set of experiments which demonstrate some of the principle properties of SDKs including ion motion independence (we demonstrate single ion thermometry from the ground state to near room temperature and the largest Schrödinger cat state ever created in an oscillator), high speed operations (compared with conventional atom-laser interactions), and multi-qubit entanglement operations with speed that is not fundamentally limited by the trap oscillation frequency. We also present a method to provide higher stability in the radial mode ion oscillation frequencies of a linear radiofrequency (rf) Paul trap–a crucial factor when performing operations on the rf-sensitive modes. Finally, we present the highest atomic position sensitivity measurement of an isolated atom to date of ∼ 0.5 nm Hz−1/2 with a minimum uncertainty of 1.7 nm using a 0.6 numerical aperature (NA) lens system, along with a method to correct aberrations and a direct position measurement of ion micromotion (the inherent oscillations of an ion trapped in an oscillating rf field). This development could be used to directly image atom motion in the quantum regime, along with sensing forces at the yoctonewton (10−24 N) scale for gravity sensing, and 3D imaging of atoms from static to higher frequency motion. These ultrafast atomic qubit manipulation tools demonstrate inherent advantages over conventional techniques, offering a fundamentally distinct regime of control and speed not previously achievable. EXPERIMENTS WITH TRAPPED IONS AND ULTRAFAST LASER PULSES
Text Classification by using Natural Language Processing

The spread of Fake news on the Internet misleads people to have false understandings and recognitions of certain events and make ill-advised decisions. This widespread can post a significant threat to modern society politically, economically, and ethnically. In this paper, multiple methods and approaches are mainly discussed for text-data preprocessing, implement different word-vector algorithms. Finally, two datasets are chosen to compare four of the most popular Natural Language Processing (NLP) models to help people distinguish the authenticity of the news.
Substance P/neurokinin1 receptor is associated with the expression of cardiac stem/pluripotency-associated genes in diabetic right and left atria

Substance P (SP) is a cardioprotective neuropeptide that interacts with the G protein-coupled neurokinin-1 receptor (NK1R). Although the expression of SP/NK1R in the right atrium (RA) of diabetic patients is known to be significantly impaired, the molecular mechanism remains unclear. LETO and OLETF rats were randomly divided into 3 groups: saline, SP injection (5 nmole/kg), and SP+RP injection (1 mg/kg RP67580, a selective non-peptide tachykinin NK1R antagonist). After 3 weeks, the left atrium (LA), RA, and left ventricle (LV) of the rats were collected. Cardiac stem/pluripotency-associated genes in the diabetic atria of each group were comprehensively examined using qRT-PCR analysis. qRT-PCR analysis demonstrated that only the RA of SP-treated OLETF rats exhibited significantly higher levels of alpha-SMA, GATA4, TBX5, and Klf4 in the mRNA, compared to the control. RP prevented the expression of NK1R and four SP-associated genes in the RA of SP-treated OLETF rats. In conclusion, our findings provide novel mechanistic insights into the role of NK1R in diabetic atria.