Miracle-dz/UniFAR-FTUs huggingface dataset:
Passively temperature-compensated nontunable fibre Fabry-Perot etalons

A temperature-insensitive, nontunable fibre Fabry-Perot etalon is demonstrated. This compensation has been obtained for an etalon with a cavity length of 740 μm (free spectral range = 135 GHz), and the principle may be applied for etalons of arbitrary length. This device may prove useful in setting frequencies for WDM applications.
TOWARDS THE ADOPTION OF DRONES IN FOODSERVICE INDUSTRY: A GENERIC MODEL DEVELOPMENT

Drone technologies have recently received a great deal of attention due to their high mobility, low cost, and flexible deployment. It is anticipated that drones will be part of our daily life, just like smartphones. The wide deployment of drones in different domains such as healthcare, agriculture, traffic monitoring, firefighting, national defense, rescue activity, and delivery services such as food and retail. Drones are expected to have a significant contribution to food delivery services by saving time, cost, environment, and people's life by reducing traffic congestion, wages, carbon emission, and accidents, respectively. Recently, big corporations, such as Amazon and DHL, have deployed drones as an alternative to traditional delivery methods. However, service providers of drone food delivery (DFD) services need to identify significant factors that influence potential consumers' to use drone delivery. Existing models lack a comprehensive basic theory that addresses factors that influence consumers' intention and behavior. To overcome this limitation and propose a more comprehensive model, relevant research studies from the domain of drone delivery services and other emerging technology such as IoT, Autonomous Vehicles, and Mobile Banking are identified, reviewed, analyzed, and ten potential factors are subsequently extracted. The model is expected to inspire food-service sub-sectors in planning for the adoption of drone technology adoption in evaluating an existing DFD or developing a new one.
Analysis of Nigerian Consumers' Perception of Foreign Products

This article presents the results of a survey of Nigerian consumers’ perception and attitude towards foreign made products. The focus of the study is the source of information in evaluating a product; the evaluation of specific product dimensions used by Nigerian consumers in their assessment of different product categories. The results show that Nigerian consumers perceive foreign made products as more reliable technologically advanced, stylish and competitively priced than the Nigerian products. More importantly, the most common product information sources are advertising and words of mouth. The managerial implication and limitations of the study are examined.
Understanding the Factors Influencing the Participation of the Warehouse Receipt System Program for Pepper Farmers

The Warehouse Receipt System is a government program aimed at improving the welfare of small farmers, enabling them to postpone the sale of their goods to be stored in government warehouses and sold at a more profitable price. In practice, it shows the low level of farmer participation. This research is a qualitative study, trying to describe the causes of the problem through door-to-door interviews and questionnaires to pepper farmers. The results showed that several reasons that influenced and prevented pepper farmers from participating in the WRS program included the amount of pepper production produced by small-scale farmers, the lack of confidence of farmers in the program due to the absence of a pilot program, storage costs in warehouses were considered burdensome, farmers' reluctance to deal with bank loans due to complicated procedures and emotional feelings of local residents.
Marketing Budgeting, Marketing Activities, and Distributor Loyalty: the Mediating Effect of Brand Equity

In reaching their customers, the producer of fast-moving consumer goods (Keller, 1993) use distributors' channels to reach their end-user. Despite having a strong brand globally, with 9.04 bio USD of brand value (2020), the company experienced steady growth with higher marketing budget spending from 2017 to 2019. The trend of operating incomes has not improved. The effect of brand equity on loyalty in the B2B segment has not been conclusive. The study aims to find out the level of distributor loyalty, the effect of marketing activity, marketing budgeting, and brand equity on distributor loyalty. The research strategy was a survey, conducted with a quantitative method, with 65 distributors as respondents. The data was analyzed with a descriptive statistic and hypotheses were tested using SmartPLS3. The result has shown that the level of distributor loyalty was good, there was a positive significant effect of marketing activity on loyalty, a positive significant effect of marketing activity on brand equity, and a positive significant effect of brand equity to distributor loyalty. However, there was no effect of marketing budgeting to brand equity. The study gave a contribution to the industrial market segment or B2B marketer, for them to be able to invest marketing activity spending into the right marketing activity mix, suited to the market condition to achieve a Marketing Budgeting, Marketing Activities . 722 p-ISSN : 2685-9106 e-ISSN : 2686-0384 ADI International Conference Series better return of investment. Building brand equity in the industrial market segment is as important as consumer market. However, marketers shall be able to differentiate the approach, since the brand equity measures for the industrial market segment are different as compared to the consumer market.
PPA_A_342135 2821..2835

1Department of Family Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia; 2Department of Pharmacology and Toxicology, Umm AlQura University, Makkah, Saudi Arabia; 3Alnoor Specialist Hospital, Makkah, Saudi Arabia; 4Department of Medicine, College of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia; 5Department of Laboratory Medicine, Faculty of Applied Medical Sciences, Umm Al-Qura University, Makkah, Saudi Arabia; 6Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia; 7Department of Pediatrics, Umm Al-Qura University, Makkah, Saudi Arabia Purpose: To explore the impact of the novel coronavirus (COVID-19) pandemic on caregivers’ willingness to vaccinate their children against influenza in 2021 in Saudi Arabia and the factors influencing this decision. Patients and Methods: An online survey of 2501 caregivers in Saudi Arabia with children aged 6 months–18 years was conducted between July 15, 2021, and August 2, 2021. A convenience sample of participants that met the inclusion criteria was used as the study sample. Social Science Package Statistical (SPSS) was used for the statistical analysis. Categorical variables were reported as frequencies and percentages. The Chi-square test was used for categorical variables to assess the difference between the variables and the parents’ willingness to vaccinate their children against seasonal influenza after the COVID19 pandemic. Results: Of the 2501 respondents to the survey, 1185 (47.3%) parents plan to give their children the influenza vaccine next year, which is an increase from 745 (29.8%) in the previous year. The following were the main reasons for not giving children the vaccine: children were less likely to get seasonal flu (617, 24.7%), fear of side effects (491, 19.6%), and fear of needles and syringes (484, 19.4%). Among the parents, 1222 (48.9%) were more likely to receive the seasonal flu vaccine themselves the following year, and 1361 (54.4%), which is more than half, were concerned about their children contracting seasonal influenza. Conclusion: Parents’ decision-making to vaccinate their children against seasonal influenza has been influenced by the COVID-19 pandemic. Numerous factors including a caregiver who had received the seasonal influenza vaccine themselves, who had vaccinated or planned to vaccinate their children during the previous or current seasonal influenza season, and/or who had a higher education level were associated with increased willingness to receive the flu vaccine.
On the relationship between implied volatility index and stock return index

This study investigated the relationship between the Ibovespa returns and the implied volatility index in Brazil (IVol-BR). We analyzed whether the level of the IVol-BR is related to the present and future Ibovespa returns. OLS and quantile regressions were used to investigate possible differences in the relationships along the distribution of the IVol-BR. To test the robustness of the model, we applied an alternative proxy for volatility, estimated from a GARCH (1,1) model. An asymmetrical relationship was found in Brazilian investors’ response to different moments of market volatility, suggesting that negative Ibovespa returns have a stronger relationship with the IVol-BR than positive returns. The coefficients were higher at the extremes of the IVol-BR distribution. These results suggest that the Brazilian market reacts more strongly to bad news than to good news, in line with the ideas developed in the behavioral finance field.
Analysis of social norms of interview-based papers in Brazilian accounting journals from 2010 to 2019

We aim to analyze the use of interviews in the data gathering process in Brazilian Accounting research. We rely upon Sociology of Knowledge as the theoretical framework. We gathered papers published between 2010 and 2019 in eight scientific journals of Accounting classified as A2, resulting in a sample of 168 papers. To analyze the data, we draw upon Dai, Free and Gendron (2019), who argues that interview-based papers rely upon social norms of the scientific community. Among the results, we highlight the low degree of transparency about the interviewing process. We hope to contribute epistemologically and methodologically to the discussion about accounting qualitative research. The research collaborates with researchers interested in conducting interviews to know the main methodological criteria indicated for the preparation, conduct, and interpretation.
FIELD STUDY OF MACRODISPERSION IN A HETEROGENEOUS AQUIFER 1. OVERVIEW OF TRACER EXPERIMENT

A large-scale natural-gradient tracer experiment has been conducted at a field site located at Columbus Air Force Base in northeastern Mississippi. The alluvial aquifer at the test site is composed of lenticular deposits of sand, gravel, silt and clay, and is quite heterogeneous with respect to its hydraulic properties. Ten cubic meters of a solution containing bromide and three organic tracers (pentafluorobenzoic acid, o-trifluoromethylbenzoic acid, and 2,6-difluorobenzoic acid) were injected into the aquifer at a uniform rate over a period of two days. The tracer plume was subsequently monitored in three dimensions over a 20-month period using a network of 258 multilevel sampling wells. The tracer concentration distribution of the plume at the conclusion of the experiment was highly asymmetric in the longitudinal direction. The peak tracer concentration was located only 7 m from the injection point, while the advancing side of the plume extended downgradient a distance of more than 260 ml The extreme skewness of the plume was caused by large-scale spatial variations in the mean groundwater velocity along the plume travel path produced by the approximate two-order of magnitude increase in the mean hydraulic conductivity between the near-field and far-field regions of the experimental site. The tracer mass balance during the experiment showed a declining trend between sampling events with approximately 50 percent of the injected tracer mass unaccounted for at the end of the experiment. Laboratory column experiments indicated that approximately 20 percent of the tracer mass was adsorbed to the aquifer matrix. The remaining 30 percent of the missing tracer mass was attributed to incomplete sampling coverage of the plume, particularly on the advancing side, and to a sampling bias produced by the multilevel samplers.
Active Acquisition for multimodal neuroimaging

In many clinical and scientific situations the optimal neuroimaging sequence may not be known prior to scanning and may differ for each individual being scanned, depending on the exact nature and location of abnormalities. Despite this, the standard approach to data acquisition, in such situations, is to specify the sequence of neuroimaging scans prior to data acquisition and to apply the same scans to all individuals. In this paper, we propose and illustrate an alternative approach, in which data would be analysed as it is acquired and used to choose the future scanning sequence: Active Acquisition. We propose three Active Acquisition scenarios based around multiple MRI modalities. In Scenario 1, we propose a simple use of near-real time analysis to decide whether to acquire more or higher resolution data, or acquire data with a different field -of -view. In Scenario 2, we simulate how multimodal MR data could be actively acquired and combined with a decision tree to classify a known outcome variable (in the simple example here, age). In Scenario 3, we simulate using Bayesian optimisation to actively search across multiple MRI modalities to find those which are most abnormal. These simulations suggest that by actively acquiring data, the scanning sequence can be adapted to each individual. We also consider the many outstanding practical and technical challenges involving normative data acquisition, MR physics, statistical modelling and clinical relevance. Despite these, we argue that Active Acquisition allows for potentially far more powerful, sensitive or rapid data acquisition, and may open up different perspectives on individual differences, clinical conditions, and biomarker discovery.
Experimental modeling and multiobjective optimization of electrical discharge drilling of aerospace superalloy material

In this article, an attempt has been made to optimize the selected input process parameters for material removal rate (MRR), average surface roughness (Ra) and average circularity (Ca) of the hole made by electrical discharge machining in a nickel-based superalloy material especially used in aerospace applications. The concept of twist drill is introduced by attaching a self-developed setup on sinking an electrical discharge machining machine by replacing the actual tool holder of the electrical discharge machining machine and terming it as electrical discharge drilling. Also application of an altogether new approach of hybrid methodology comprising the Taguchi methodology coupled with response surface methodology for modeling and response surface methodology coupled with principal component analysis–based grey relational analysis for multiobjective optimization of process parameters is used. In this application of hybrid methodology, at the first stage, optimum level of process parameters is determined by the Taguchi methodology and used as the central value in response surface methodology for developing the second-order response model, and at the second stage, taking the reference of developed central composite rotatable design matrix of response surface methodology model, grey relational analysis with principal component analysis is applied to determine the grey relational grade for further determination of the optimum level of process parameter. It is observed that with the use of present hybrid approach in this experimental study, an appreciable improvement in MRR by 82.27%, Ra by 39.28% and Ca by 25.00% is achieved, which confirm the viability of using it with future scope for researchers.
Combustion Product Toxic Potency Measurements: Comparison of a Small Scale Test and "Real-World" Fires

A long range goal of fire science is to be able to predict "real- world" fire performance from a small set of laboratory scale fire measurements. One material property of primary concern is the toxicity of decomposition prod ucts. Several small scale toxicity protocols that measure toxic potency of the smoke from burning materials have been developed. While several attempts have been made to correlate individual protocols with large scale results, no systematic set of criteria for determining the extent of similarity has been defined and tested. In this paper, three criteria have been proposed and tested using one set of materials (cotton fabric and polyurethane foam) in two dif ferent large-scale enclosures and three different fire scenarios. Tests were con ducted to determine the extent of similarity between the NBS Toxicity Test Protocol and large-scale "real-world" fire performance. The similarity criteria were: LC50 values, time to death of the animals, and toxicant(s) causing the deaths (i.e., the ratios of yields of known toxicants and the contribution of the unknown toxicants). Comparison of test results showed that similar LC50 values were observed. However, toxicant yields varied and animal deaths occurred at different times, implying a difference in physiological syn drome(s).
Performance of the Fama-French five-factor model in the pricing of anomalies in the Brazilian market

The purpose of this paper was to analyze the performance of the Fama-French five-factor model in the Brazilian stock market, in comparison to the three-and four-factor models, as well as to verify whether there are risk premiums associated to the anomalies size, book-to-market index, momentum, profitability and investment. Thus, we sought to analyze the efficiency of these models as a tool to support financial decision making in risk conditions. For this, the Fama-MacBeth methodology was used. The results of the first step regressions suggested that the Fama-French five-factor model presents the best performance in explaining the stock returns when compared to the others. However, in the results of the second step regressions, there were not found risk premiums associated to the profitability and investment factors, added to the three-factor model. Only the risks related to market, size, and book-to-market index consistently explained the crosssection of stock returns.
Secondary Schools with Televised Lessons: The Labor Market Returns of the Mexican Telesecundaria

In areas with an insufficient supply of qualified teachers, delivering instruction through technology may be a solution to provide education. This paper analyzes the educational and labor market impacts of an expansion of junior secondary education in Mexico through schools using televised lessons, the telesecundarias. Exploiting their staggered rollout from 1968 to 2000, I show that for every additional telesecundaria per 50 children, ten students enroll in junior secondary education. I find that an additional year of education increases long-run income by 12.5–13.9%, driven partly by increased labor force participation and a shift away from agriculture and the informal sector. ∗Institute for International Economic Studies, Stockholm University, SE-106 91, Stockholm, Sweden (email: laia.navarrosola@iies.su.se) I am extremely grateful to my advisors Matthew Notowidigdo, Christopher Udry, Jonathan Guryan and Seema Jayachandran for their continuous guidance and support. I also thank Sergio Armella, Bruno Barsanetti, Lori Beaman, Nicola Bianchi, Caterina Calsamiglia, Mitchell Downey, Gaston Illanes, Kirabo Jackson, Benjamin Jones, Vishal Kamat, René Leal, Karen Macours, Ofer Malamud, Samuel Norris, Pinchuan Ong, Abhijeet Singh, Gabriel Ziegler, as well as seminar participants at ITAM, EALE, University of Chicago HCEO, EWMES, Paris School of Economics, IZA Workshop on the Economics of Education, Stockholm School of Economics, OECD, Collegio Carlo Alberto, University of Warwick, University of St Andrews, CEMFI, Bocconi University, IIES, Stockholm University, NHH Norwegian School of Economics, IESE, World Bank DECRG, Center for Global Development, NEUDC, Banco de México, and Northwestern University for insightful discussions and suggestions. I thank Mattias Folkestad for excellent research assistance and Aniket Panjwani for his early contributions to the paper. A previous version of the paper was circulated as: “Secondary School Expansion through Televised Lessons: The Labor Market Returns of the Mexican Telesecundaria”.
Free-Riding for Future: Field Experimental Evidence of Strategic Substitutability in Climate Protest

We test the hypothesis that protest participation decisions in an adult population of potential climate protesters are interdependent. Subjects (n=1,510) from the four largest German cities were recruited two weeks before protest date. We measured participation (ex post) and beliefs about the other subjects' participation (ex ante) in an online survey, used a randomized informational intervention to induce exogenous variance in beliefs, and estimated the causal effect of a change in belief on the probability of participation using a control function approach. Participation decisions are found to be strategic substitutes: a one percentage-point increase of belief causes a . 67 percentage-point decrease in the probability of participation in the average subject.
A Rich Type System for Quantum Programs

We show that Gottesman's semantics (GROUP22, 1998) for Clifford circuits based on the Heisenberg representation can be treated as a type system that can efficiently characterize a common subset of quantum programs. Our applications include (i) certifying whether auxiliary qubits can be safely disposed of, (ii) determining if a system is separable across a given bi-partition, (iii) checking the transversality of a gate with respect to a given stabilizer code, and (iv) typing post-measurement states for computational basis measurements. Further, this type system is extended to accommodate universal quantum computing by deriving types for the $T$-gate, multiply-controlled unitaries such as the Toffoli gate, and some gate injection circuits that use associated magic states. These types allow us to prove a lower bound on the number of $T$ gates necessary to perform a multiply-controlled $Z$ gate.
Statistical Hauser-Feshbach Model Description of (n,α) Reaction Cross Sections for the Weak s-Process

The (n,α) reaction contributes in many processes of energy generation and nucleosynthesis in stellar environment. Since experimental data are available for a limited number of nuclei and in restricted energy ranges, at present only theoretical studies can provide predictions for all astrophysically relevant (n,α) reaction cross sections. The purpose of this work is to study (n,α) reaction cross sections for a set of nuclei contributing in the weak s-process nucleosynthesis. Theory framework is based on the statistical Hauser-Feshbach model implemented in TALYS code with nuclear masses and level densities based on Skyrme energy density functional. In addition to the analysis of the properties of calculated (n,α) cross sections, the Maxwellian averaged cross sections are described and analyzed for the range of temperatures in stellar environment. Model calculations determined astrophysically relevant energy windows in which (n,α) reactions occur in stars. In order to reduce the uncertainties in modeling (n,α) reaction cross sections for the s-process, novel experimental studies are called for. Presented results on the effective energy windows for (n,α) reaction in weak s-process provide a guidance for the priority energy ranges in the future experimental studies.