Miracle-dz/UniFAR-FTUs huggingface dataset:
Creation of ultracold polar ground-state RbCs molecules

This thesis reports the creation and trapping of 87RbCs molecules in the absolute ground state with a temperature of 1 uK. We build a tunable narrow-linewidth laser system at 1550 nm and 980 nm, using a single high-finesse optical cavity as a reference for both colours. We use fibre-coupled electro-optic modulators to continuously tune both lasers. These allow a novel measurement of the free spectral range of the cavity to better than 1 part in 10^6. We perform one- and two-photon spectroscopy on 87RbCs Feshbach molecules and identify a suitable intermediate state for transfer to the molecular ground state. We measure the electric dipole moment of the molecular ground state as 1.225(3)(8) D, and demonstrate the highest lab-frame dipole moment of any ultracold molecular system at the time of measurement. We transfer the molecules to the electronic, rovibrational and hyperfine ground state using stimulated Raman adiabatic passage, with 88% efficiency. We measure the transition strengths and excited state linewidth for this transfer route. We develop a model for the transfer which includes the effect of laser linewidth, and find excellent agreement with experimental data. The molecular sample is trapped in an optical dipole potential, and has a lifetime of 0.89(6) s. We reference the STIRAP lasers to a novel design of frequency comb which uses difference frequency generation to cancel the carrier-envelope offset. We use this to measure the binding energy of the molecules as h x 114 268 135.24(4)(3) MHz. To our knowledge, this is the most precise determination of the dissociation energy of a molecule to date. Finally, we report progress toward loading the molecules into a 1D optical lattice at 1064 nm. We develop the tools and methods to characterise a lattice, and demonstrate trapping of Feshbach molecules in both a 1D optical lattice and a harmonic optical potential at 1064 nm.
FPGA Implementation of Error Tolerant and Energy Efficient Convolutional Neural Network with Modified Flagged Binary Adder

This paper proposes VLSI architecture of Convolutional Neural Network (CNN) with Modified Flagged Binary Adder (MFBA) and Modified Splitting Based Multiplier (MSBM) for accurate response and designed with Modified Rounding Based Approximate multiplier (MRoBA) for approximate response which is suitable for face recognition applications. The performances of CNN architectures are analyzed in terms of energy efficiency, error percentage, speed and power consumption. The proposed architectures are implemented in Virtex 4 (xc4vfx12) device with the speed grade of -12 and its operating frequency is 500MHz. The proposed accurate MFBA-MSBM reduces the energy consumption by 35.67%, 0.2%, 0.2% and 31.28% when compared with Ripple Carry Adder & Array Multiplier (RCA-AM), Flagged Ladner Adder & Splitting Based Multiplier (FLA-SBM), Flagged Brent Kung Adder & Splitting Based Multiplier (FBKA-SBM) respectively. The proposed approximate MFBA-MRoBA reduces the area by 18.01%, 43.60%, 18.95%, 1.42%, 0.94%, 36.49% and reduces the delay by 44.88%, 51.47%, 11.17%, 18.86%, 15.08%, 20.49% when compared with Reconfigurable Approximate Carry Look-ahead Adder & AM (RAPCLA-AM), RAPCLA-RoBA, Reconfigurable Error Tolerant CLA & AM (RETCLA-AM), RETCLA-SBM, RETCLA-MSBM and RETCLA-MRoBA respectively
Basic Education Students’ Digital Competence in the Area of Communication: The Influence of Online Communication and the Use of Social Networks

The global public health crisis unleashed by the COVID‐19 pandemic has made it clear that digital competence in education is no longer an option, but a necessity Online communication with friends using social networks is an activity in which young people very frequently and at increasingly early ages engage This article presents the results of a study analyses digital‐competence levels in the area of communication of Spanish basic‐education students (aged 12–16) and establishes whether online communication with friends and the use of social media impact it A quantitative methodology with a descriptive and cross‐sectional design was used The sample comprised 807 students, and data collection was based on a problem‐solving test Findings show that students who use online communication with their friends very often and that those who use social networks a lot have lower levels of digital competence Education centres should reflect on this in order to implement curricular programs that may strengthen this type of competence © 2021 by the authors Licensee MDPI, Basel, Switzerland
Effectiveness of the financial management in terms of R&D activities across selected stock companies in Poland

The purpose of the study is to determine the financial impact of expenditure on research and development activities (R&D) of selected companies listed on the Warsaw Stock Exchange. The work is based on reports of 44 such companies, which conducted R&D activities between 2015 and 2017. Expenditure on R&D was taken as a diagnostic variable in the assessment of a given company’s management efficiency. The financial condition was assesed using three diagnostic indicators: the return of assets, current liquidity levels and debt ratio. The two first were assumed to be stimulants, while the third was taken to be destimulant. A scoring method—recommended among others by M. Tarczynska—Łuniewska and W. Tarczynski—was used to construct a complex measurement of the overall financial condition. The methodology adopted was based on the results of studies conducted by (among others) Baruch, Hurwitz, Lines and Schmidt, Walczak, as well as Glova, Dancakova and Suleimenova. The results observed made for an examination of a subtle relationship between financial results of the companies with the levels of R&D activities conducted. It was found that there was no significant impact of research activities on the financial condition and management effectiveness of the selected enterprises.
Correlation of N-glycan dynamics and interaction network with allosteric antigen binding and Fc receptor recognition

Aim: Fragment crystallizable (Fc) glycans modulate Fc conformations and functions, and glycan may also regulate antigen recognition. In the antibody drug development, glycosylation patterns affect antibody drug characteristics and quality control. In order to provide a global feature of N-glycan interactions in response to antigen and Fc receptor bindings, the interactions among Fc N-glycans and N-glycans’ interaction with Fc CH2 and CH3 domains have been studied. Methods: Molecular dynamics simulations were used to generate conformation ensembles of free antibody, antibody-antigen complex, antibody-human Fc-gamma-receptor-I (hFcγRI) and antibody-antigen-hFcγRI, the hydrogen bonds and radial distance distribution involving N-glycans carbohydrate chains have been analyzed. Results: Two important interaction patterns have been observed. The first is the strong but non-specific interactions between two carbohydrate chains in free antibody. Secondly, it has been found that N-glycans carbohydrate chains can directly interact with CH3 domain in free antibody, and that the distance distribution between carbohydrate chains and CH3 domain clearly differentiate the free antibody, antibody-antigen complex, antibody-hFcγRI complex, and final antibody-antigen-hFcγRI complex. Conclusions: N-glycans partially acts as allosteric sensor and respond to antigen and hFcγRI binding.
Effects of indigenous cattle age on their beef quality

The experiment was conducted to examine the quality of beef from indigenous cattle at different ages. Animals were grouped into <1.6, 1.6–2 and 2–3 years, and then beef samples were collected. Live weight of <1.6 (140.93±18.82 kg), and 1.6–2 (143.87±14.95 kg) years cattle were significant (p<0.05) lower than 2–3 were years cattle (237.33±50.14 kg). Similarly, the hot carcass weight were significant (p<0.05) higher in 2–3 were years old cattle (126.77±31.80 kg) than <1.6 (68.65±13.75 kg), and 1.6–2 (72.45±9.08 kg) years old cattle, respectively. The average dressing percentages and mean pH value of meat sample were similar in all three age groups of cattle. Higher cooking loss were in 2-3 years cattle group and lower cooking loss were in 1.6-2 years cattle group after heating at 100°C for 20 and 30 minutes. Drip loss values after 1, 3, 6, 9, and 12 days in three age groups were significantly different (p<0.05) and higher drip loss were recorded in 1.6–2 years cattle group than other two age group of cattle. Among the proximate component, only crude protein (CP) and ash showed significant changes among beef cattle age group. The CP content were higher in meat from <1.6, and 1.6–2 years old cattle than 2–3 years cattle. On the other hand, ash content were significantly (p<0.05) higher in meat from <1.6 years old cattle than other age group. From this present study, it is concluded that the age of indigenous beef cattle has influenced on beef quality.
A Comprehensive Study on Solid Lipid Nanoparticles

International Journal of Pharmaceutical Sciences Review and Research International Journal of Pharmaceutical Sciences Review and Research Available online at www.globalresearchonline. net ©Copyright protected. Unauthorised republication, reproduction, distribution, dissemination and copying of this document in whole or in part is strictly prohibited. Available online at www.globalresearchonline. net 165 M.Chandana*1, M. Venkata Ramana2, N. Rama rao3 Department of pharmaceutics, Chalapathi Institute of Pharmaceutical Sciences (Autonomous), Lam, Guntur, Andhra Pradesh, India. *Corresponding author’s E-mail: chandanaraj555@gmail.com
Private Higher Education Institution Alumni Perception on Endowment Behavioral Intention: A Conceptual Framework

Nowadays, the endowment or waqf concept has been utilized to meet various intentions, including poverty alleviation, financing, housing and education, which is to bring benefit to society. Rising costs of education have provided the need to find alternatives sources of funding for higher education institution (HEI) i.e. endowments or waqf. Furthermore, the development of endowment fund or waqf in education has become one of the main agendas for Malaysia Higher Education Ministry. Realizing the possible forthcoming scenarios in the current education industry, scholars and researchers have made proposals to apply the concept of endowment or waqf for education development to ensure a more affordable and sustainable education industry in the country. Therefore, this paper aims to understand the perception of private higher education institution (PHEI) alumni on factors that will influence their intention to contribute endowments or waqf for the HEIs. This research adopted a quantitative method using questionnaire distribution and analyses using Smart PLS. For the potential of higher education endowment or waqf in Malaysia to be realized, the endowment or waqf board of PHEI further promote the utilization of endowment or waqf as it brings benefit to the society and economic development in Malaysia.
FDI into emerging markets

This empirical paper examines how institutional strengths or weaknesses of emerging markets might affect investment inflows into these countries. The study includes data of 13 emerging economies from different regions. The countries included are Argentina, Brazil, Chile, China, Indonesia, India, South Korea, Mexico, Malaysia, Nigeria, Poland, Russia, and Turkey for the time period 2000-2018. The institutional variables; property rights, good governance, corruption, rule of law, and civil liberties are examined to understand if there is a deviation from the existing literature for the emerging countries. Secondly, we also investigated differences among the emerging countries and asked if non-BRIC countries are different in results. A panel data model has been performed for the analysis. Our findings prove that some institutions such as corruption, civil liberties, property rights, and good governance are significantly important to attract FDI into the emerging markets, as indicated in the literature for the developed countries, but not as strong as assumed. Secondly, other institutional constructs such as rule of law and political stability found to be insignificant in emerging markets. Finally, we found a similar result even when we analyzed emerging markets without BRIC countries.
ARMA Model-Based Prediction of the Number of Vessels Navigating the Istanbul Strait Unassisted by Maritime Pilots

e-mail: yilmazp@itu.edu. tr The Istanbul Strait is one of the busiest and riskiest trade routes, with the annual traffic of 50,000 ships. Such high traffic density is managed by the enforcement of a passage regimen by the Vessel Traffic Service (VTS) and maritime pilots of the Directorate General of Coastal Safety of the Republic of Turkey. VTS operations and maritime pilot actions are assumed to complement each other. Accordingly, a vessel unaccompanied by a maritime pilot is expected to interact with the VTS to a greater extent than a vessel assisted by a maritime pilot. Thus, estimating the number of ships that pass through the Istanbul Strait, especially those that do not use maritime pilot assistance, will be an effective tool for the Istanbul Strait traffic scheme management, as it will allow the authorities to balance and integrate VTS and maritime pilot operations. The predictive model based on Autoregressive Moving Average (ARMA) described in ARMA Model-Based Prediction of the Number of Vessels Navigating the Istanbul Strait Unassisted by Maritime Pilots
Design and Analysis of An Improved AODV Protocol Based on Clustering Approach for Internet of Vehicles (AODV-CD)

—The Internet of Vehicles (IoVs) has become a vital research area in order to enhance passenger and road safety, increasing traffic efficiency and enhanced reliable connectivity. In this regard, for monitoring and controlling the communication between IoVs, routing protocols are deployed. Frequent changes that occur in the topology often leads to major challenges in IoVs, such as dynamic topology changes, shortest routing paths and also scalability. One of the best solutions for such challenges is “clustering”. This study focuses on IoVs’ stability and to create an efficient routing protocol in dynamic environment. In this context, we proposed a novel algorithm called Cluster-based enhanced AODV for IoVs (AODV-CD) to achieve stable and efficient clustering for simplifying routing and ensuring quality of service (QoS). Our proposed protocol enhances the overall network throughput and delivery ratio, with less routing load and less delay compared to AODV. Thus, extensive simulations are carried out in SUMO and NS2 for evaluating the efficiency of the AODV-CD that is superior to the classic AODV and other recent modified AODV algorithms.
MARÍA ALEJANDRA BUITRAGO ARISTIZÁBAL GEOGRAPHICAL STRUCTURE OF MORPHOLOGY AND SPECTRAL DIVERSITY IN ARUMÃS (ISCHNOSIPHON KÖRN., MARANTACEAE)

Recognition and delimitation of taxonomic categories of biological organisms are still challenging and full of controversies. Traditional categorization of species may hamper the continuous variation of entities in nature. The assessment of morphometric and spectral variation of individuals along geographical and environmental gradients can be used to understand how homogeneous or grouped is the variation and may underscore the delimitation of natural units. We used Ischnosiphon (Marantaceae) as a model due to its great morphological variation and broad distribution. Species of this genus are terrestrial rhizomatous herbs, occurring in the understories of tropical forests from Nicaragua to southern Bolivia and Brazil. Here we apply an individual-based approach to test how variation of 22 wide to narrowly distributed species of Ischnosiphon is related to ecological factors and geographical distribution, besides describing morphological and spectral variation patterns. We demonstrate great diversity and morphological complexity among Ischnosiphon, and propose a replicable and analytical framework to accommodate individual variability in species diagnosis on morphologically diverse plant groups. Additionally, we show that range size is not a good predictor of phenotypic variance and that climatic distance is often more relevant to morphological and spectral variation than geographic distance. These results provide evidence of how our interpretation and recognition of species is prone to underestimation of the role of individual variability, and how environmental gradients influence phenotypic variation of widely distributed organisms. Finally, we discuss the relevance of phenotypic variability explorations on systematics, evolutionary and ecological studies.
Randomized Scheduling Mechanisms: Assigning Course Seats in a Fair and Efficient Way

C ourse assignment is a very widespread problem in education and beyond. Typically, students have preferences for bundles of course seats or course schedules over the week, but courses have limited capacity. This is an interesting and frequent application of distributed scheduling, where payments cannot be used to implement the efﬁcient allocation. First-Come First-Served (FCFS) is simple and the most widely used assignment rule in practice, but it leads to inefﬁcient outcomes and envy in the allocation. It was recently shown that randomized economic mechanisms that do not require monetary transfers can have attractive economic and computational properties, which were considered incompatible for deterministic alternatives. We use a mixed-methods design including ﬁeld and laboratory experiments, a survey, and simulations to analyze such randomized mechanisms empirically. Implementing randomized scheduling in the ﬁeld also required us to develop a solution to a new preference elicitation problem that is central to these mechanisms. The results of our empirical work shed light on the advantages that randomized scheduling mechanisms have over FCFS in the ﬁeld, but also on the challenges. The resulting course assignment system was adopted permanently and is now used to solve course assignment problems with more than 1700 students every year.
Streptococcus agalactiae Isolation and Characterization in Nile Tilapia (Oreochromis niloticus) with Histopathological Studies

Streptococcus agalactiae has been described as one of the most serious bacterial diseases in tilapia culture. This study investigated the isolation and characterization of Streptococcus agalactiae from a condition of mass mortality in farmed Oreochromis niloticus at Baltim region, Kafr El-Sheikh governorate, Egypt during the summer of 2019, and the effectiveness of locally prepared bacterin for prevention of streptococcal disease. Infected fish showed corneal opacity, congestion of spleen, liver, and kidney, the abdominal space filled with watery and bloody ascites, and light-colored nodules on the kidneys, spleen, or liver. Water qualities were measured parallel to the fish sample. S. agalactiae isolates were identified by phenotypic and biochemical VITEK II methods. Ampicillin, Colistin sulfate, would appear as the best antibacterial agents to use in the treatment. The relative level of protection value was 70% in Oreochromis niloticus challenged with a virulent strain of S. agalactiae (107 CFU /1 ml) and vaccinated with locally prepared killed bacterin. Histopathological investigations revealed congested blood vessels in all organ's specimens examined, inflammatory cells infiltration, degenerative changes, different stages of necrosis of the liver, and generalized meningoencephalitis of the brain. The current study recommended that S. agalactia induced many problems in tilapia culture in presence of bad water quality during the summer season, and the vaccination program gives good results and high protection which may be a useful method for the prevention and control of streptococcal infection.
STUDY OF SOME IMMUNOLOGICAL AND HEMATOLOGICAL IMPACTS INDUCED BY CLOMAZONE IN SWISS ALBINO MICE AND THE PROTECTIVE EFFECT OF VITAMIN C

ABSTRACT: The present study aimed to evaluate the probable perturbations produced by herbicide clomazone (CMZ) on immunological and hematological indices and to assess the protective role of vitamin C in alleviating CMZ-induced immunological and hematological toxicity in male Swiss albino mice. To achieve this goal, Swiss albino mice (weighing 25-34 g and each group 10 animals) were administrated phosphate buffer saline (PBS), CMZ (46 µM/kg; 1/20 of the 96h LD50 for an intraperitoneal dose) and/or vitamin C (1136 µM/kg) daily intraperitoneally (i.p.) for 4 weeks. By the end of the 4th week, immunological and hematological parameters: erythrocyte (RBC) count, hemoglobin (Hb) percent, hematocrit (Hct) content, platelets (Plt) count, leucocyte (WBC) count, absolute number of neutrophils, lymphocyte and monocytes and count of splenocytes, thymocytes and bone marrow cells were evaluated. To investigate the influence of immunoglobulin (Ig) isotypes production activity of CMZ, naive splenocytes were inoculated for 24 h into media supplemented with PBS, CMZ (4.6 µM/well) and/or vitamin C (113.6 µM/well) and the concentrations of IgA, IgG and IgM were measured by ELISA. As a result, 96h LD50 of CMZ was estimated at 911 µM/kg. Exposure to CMZ alone significantly decreased RBC count, Hb content, Hct%, WBC count, absolute numbers of lymphocytes and monocytes, Plt count, total numbers of splenocytes, thymocytes and bone marrow cells when compared to their values in PBS-treated mice. Contrary, Absolute number of neutrophils was significantly higher in CMZ-treated mice than in PBS-treated mice. The concentrations of IgA, IgG and IgM in CMZ-cultured splenocytes were significantly higher than in PBS-cultured splenocytes. Pre-treatment of vitamin C to CMZ-exposed mice mildly ameliorated the immunological and hematological perturbations of CMZ toxicity. To conclude, it appears that vitamins C mildly alleviated CMZinduced immunological and hematological toxicity but it was not completely protective.
Post Covid 19 Cashless Societies: Merchants Acceptance of Plastic Cards Payments in Mauritius

The paper aims to provide broad insights towards the acceptance of plastic card payments from merchants in Mauritius A quantitative research approach has been adopted for the paper whereby the perceptions of merchants have been tapped by adopting quantitative research techniques, by conducting a survey with 200 merchants across the 9 districts of the island of Mauritius As far as the perception of merchants is concerned for plastic card acceptance, only 37% of merchants accept plastic card payments and they have highlighted such factors as 'to increase frequency sales (21 7%)', 'to increase competitiveness (20 8%)' and 'lower risks of theft and counterfeit (19 8%)' as the main reasons for adopting innovative payment solutions This original research has made a valuable contribution to the body of literature as there is a lack of empirical and holistic studies towards innovative payment solutions in Mauritius Therefore, the research has enough concrete and empirical findings that would serve as a roadmap for banking executives, credit card companies, policy makers of banking industry and merchants to better promote and sustain the adoption of plastic cards by devising appealing marketing strategies in Post Covid19 The research will also provide merchants with insightful ideas to promote the adoption of plastic cards among customers as merchants are in direct touch with customers in the retail outlets of Mauritius This research is innovative since it has adopted a quantitative research approach to deepen insights into the factors impacting on the acceptance of plastic cards among merchants in Mauritius This paper provides a holistic perspective in understanding the emerging phenomenon of innovative payment solutions by integrating the views of merchants unlike other studies which have concentrated on plastic card adoption only from a customers' point of view This research is one of the pioneer studies that has addressed the benefits and challenges of plastic card payments as there are several changes happening in the payments landscape, following the pandemic crisis around the world