Miracle-dz/UniFAR-FTUs huggingface dataset:
Predictors Influencing the Choice of Lodging Option: A Systematic Literature Review of Homestays

In the tourism industry, lodging establishments play a crucial role. Each, more and more tourists look outside the typical hotel for their accommodation requirements. One of the fastest-growing segments of the hotel sector is homestays. This research aims to provide a more comprehensive view of the topic by consolidating the factors found in previous studies that lead tourists to select homestays. This study seeks to bring together the different reasons that have been discovered by studies that encourage visitors to choose homestay as a lodging option to gain a more in-depth understanding of the issue. In this research, the authors elected to conduct a review study in the form of a Systematic Literature Review (SLR). Seventy-four papers published between January 2000 and June 2022 were examined. This study examined Emerald, Sage, Elsevier, Wiley Online Library, Scopus, and Taylor & Francis Online databases. The PRISMA flowchart was utilized to conduct a comprehensive view of the topic. The SLR findings reflect that underlining factors like "feeling at home," "personalized service," "safety and security," "real, local touch/desire to engage in local culture," and "budget-friendly" are the primary motivating factors for visitors to choose homestay over other types of accommodation. This study can offer several suggestions to improve tourists' satisfaction with homestays,. Homestay owners, managers, and investors can use this study to create policies, directions, and recommendations for running homestays. Concerning motivations and attribute concerns, this study may give homestay destination marketing managers a more realistic picture of tourist satisfaction.
A NOVEL LOW-COST SYSTEM FOR REMOTE HEALTH MONITORING USING SMARTWATCHES

The healthcare industry is advancing rapidly in both technology and services. One recent development is remote health monitoring, which has become increasingly important in a world where the aging population is facing more health complications. Initially, this technology was limited to monitoring patients within hospital rooms. However, advancements in communication and sensor technologies have made it possible to monitor patients while they go about their daily activities at home. One popular device being used for this purpose is the smartwatch, due to its efficiency and ease of use in transmitting health data quickly and conveniently via smartphones. This study proposes an end-to-end remote monitoring framework for predicting and managing health risks using different types of personal health devices, smartphones, and smartwatches. Several machine learning methods were applied to a collected dataset, which underwent feature scaling, imputation, selection, and augmentation to predict health risks. The tenfold stratified cross-validation method achieved an accuracy of 99.5%, a recall of 99.5%, and an F1 of 99.5%, which is competitive with existing methods. Patients can utilize various personal health devices, such as smartphones and smartwatches, to monitor vital signs and manage the development of their health metrics, all while staying connected with medical experts. The proposed framework allows medical professionals to make informed decisions based on the latest health risk predictions and lifestyle insights while maintaining unobtrusiveness, reducing cost, and ensuring vendor interoperability. The cost of entire system is 328 USD.
Spherical designs and tensors

short, Ave h = Ave h for all polynomials h in 3 variables of degree < 5 X fl and n = 12. If the defining relation only refers to the homogeneous polynomials of degree q, then we use the term spherical design of index q. Thus strength q means index 1, 2, . , and q. The second part of the title refers to symmetric tensors, and to the desire to express symmetric polynomials as the inner products of tensors, for instance d L hijkaiajak = (h, a® a® a), i,j,k=l
On the Definition and Distribution of Serial Verb Constructions

The term 'Serial Verb Construction' has been applied to a wide range of phenomena, in the literature and even (or perhaps especially) at this conference. In this paper I hope to clarify some definitional points concerning serial verb constructions and In addition provide some explanation of the distribution of serial verb constructions In the languages of the world. To go into the depth necessary to fully explicate the points I wish to make Is not possible in a brief paper, and interested readers may wish to consult my dissertation (Sch! ller 1990d) and related papers (Sch! ller 1989c, 1990a, 1990b). I have made a few changes in my analysis since the conference, thanks to Insightful presentations by Geoff Pullum and Pieter Seuren (this volume), who deserve more than mere footnoted acknowledgement.
A Smart Chair to Monitor Sitting Posture by Capacitive Textile Sensors

In this paper, a smart office chair with movable textile sensors to monitor sitting position during the workday is presented. The system consists of a presence textile capacitive sensor with different levels of activation with a signal conditioning device. The proposed system was integrated into an office chair to detect postures that could provoke musculoskeletal disorders or discomfort. The microcontroller measured the capacitance by means of a cycle count method and provided the position information in real time. The information could be analysed to set up warnings to prevent incorrect postures or the necessity to move. Five participants assumed a series of postures, and the results showed the workability of the proposed smart chair. The chair can be provided as a new tool for companies, hospitals, or other institutions to detect incorrect postures and monitor the postures of people with reduced mobility. This tool can optimise control procedures or prevent occupational risks.
INFRAESTRUTURA URBANA E CONSUMO PRIVADO NO BRASIL: UMA ANÁLISE POR REGRESSÃO QUANTÍLICA DAS REGIÕES E ESTRATOS SOCIAIS

O consumo de bens surgiu a partir da transformação de vilarejos em cidades urbanizadas, com a construção de uma complexa rede de infraestrutura mecânica e civil, algo que ocorreu de maneira significativa no Brasil a partir da década de 1950. Mostramos que o desenvolvimento infraestrutural ocorreu de forma distinta nas diversas regiões do Brasil. Informações da PDSD revelaram um forte viés regional, sendo o Sudeste a região com a maior correlação entre o desenvolvimento infraestrutural (acesso a bens públicos) e o consumo de bens duráveis, variáveis preditoras do bem-estar socioeconômico. Também observamos que nas últimas décadas houve um aumento no consumo de bens e serviços no Brasil e que o consumo ocorre principalmente em áreas urbanizadas. Finalmente, em comparação com fatores como educação escolar e origem social, o acesso aos bens coletivos é o fator com a maior correlação com o consumo de bens e serviços.
Rectified Output Power Analysis of Piezoelectric Energy Harvester Arrays under Noisy Excitation

In the past decade, vibration energy harvesting has emerged as a potential alternative solution to power wireless sensor nodes. In real-world implementations, external excitation can be very noisy and includes noise signals in a wide frequency band. In order to accommodate operation under noisy excitation, arrays of energy harvesters with different resonance frequencies are often employed to improve responsibility. Due to the nature of noisy excitation and the difference in resonance frequencies, the response voltage signals from each harvester can be very different in amplitude, frequency and phase. In this paper, an array with two cantilevered energy harvesters is studied to analyze the rectified output power with different configurations using full-bridge rectifiers (FBR). The experiments show that connecting the two harvesters in parallel or in series before connecting with a FBR results in significant voltage cancellation due to phase mismatch. The most efficient way to extract energy is to use two FBRs for the two cantilevered energy harvesters, individually, and charge to one single storage capacitor connected at the outputs of the two FBRs.
Single-index regression for pooled biomarker data

ABSTRACT Laboratory assays used to evaluate biomarkers (biological markers) are often prohibitively expensive. As an efficient data collection mechanism to save on testing costs, pooling has become more commonly used in epidemiological research. Useful statistical methods have been proposed to relate pooled biomarker measurements to individual covariate information. However, most of these regression techniques have proceeded under parametric linear assumptions. To relax such assumptions, we propose a semiparametric approach that originates from the context of the single-index model. Unlike with traditional single-index methodologies, we face a challenge in that the observed data are biomarker measurements on pools rather than individual specimens. In this article, we propose a method that addresses this challenge. The asymptotic properties of our estimators are derived. We illustrate the finite sample performance of our estimators through simulation and by applying it to a diabetes data set and a chemokine data set.
SERVQUAL METHOD IN STUDYING SERVICE QUALITY OF TRAVEL INSURANCE

Background: The study which consists of two parts: theoretical and empirical ones, and contains the analysis of the concept of insurance service quality in relation to travel insurance by employees of insurance institutions as well as by individual customers. Methods: The research was conducted by means of the SERVQUAL method among individual customers who hold travel insurance contracts in Świętokrzyskie, Małopolskie Lubelskie and Podkarpackie voivodships. The aim of the study was to identify the factors of travel insurance service quality in the conditions of the changing tourist market in Poland, as well as to define the hierarchy of their importance. Result: Moreover, on the basis of the SERVQUAL method, some discrepancies were established between customer expectations and the perceived services. This study is a continuation of the research conducted and another study of the series of studies of service quality in the market of property insurance in the voivodeships of eastern Poland.
The Improved DC Breakdown Strength Induced by Enhanced Interaction between SiO2 Nanoparticles and LLDPE Matrix

Direct current (DC) power transmission systems have received great attention because it can easily integrate many types of renewable energies and have low energy loss in long-distance and large-capacity power transmission for electricity global sharing. Nanoparticles (NPs) have a positive effect on the insulation properties of polymers, but weak interaction between NPs and polymer matrix greatly decreases the effort of NPs on the enhancement of insulation properties, and thereby limits its engineering application. In this work, grafting strategy was used to link the modified NPs and polymer matrix to improve their interactions. Silica NPs (SiO2-NPs) were modified by 3-(methacrylyloxy) propyl-trimethoxysilane (MPS) to introduce highly active groups on the SiO2-NPs surface, followed by the pre-irradiated linear low-density polyethylene (LLDPE) being easily grafted onto the MPS modified SiO2-NPs (MPS-SiO2-NPs) in the melt blending process to obtain LLDPE-g-MPS-SiO2-NPs nanocomposites. Fourier-transform infrared (FT-IR) spectrum and X-ray photoelectron spectroscopy (XPS) confirm the successful incorporation of MPS into SiO2-NPs. Transmission electron microscopy (TEM) verifies that the modified SiO2-NPs exhibits more uniform distribution. The rheology result shows that the interaction between MPS-SiO2-NPs and LLDPE significantly improves. More importantly, the LLDPE-g-MPS-SiO2-NPs nanocomposites displays superior DC breakdown strength to that fabricated by conventional modification methods. When the addition of MPS-SiO2-NPs is 0.1 wt%, the highest DC breakdown strength values of 525 kV/mm and 372 kV/mm are obtained at 30 °C and 70 °C, respectively, and high DC breakdown strength can be well maintained in a wide loading range of NPs.
Assessing Pleistocene–Holocene climatic and environmental change in insular Near Oceania using stable isotope analysis of archaeological fauna

In comparison to temperate and arid regions, environmental responses to the Last Glacial Maximum and the Terminal Pleistocene and Holocene boundary remain poorly known for many parts of the tropics, making it challenging to unravel human–landscape interactions across this timeframe. This is particularly the case in insular Near Oceania, where sea‐level fluctuations and potential changes in forest cover may have had major impacts on hunter–gatherer populations. Here, we apply stable carbon and oxygen isotope analyses to small‐mammal teeth from four Pleistocene–Holocene (spanning from 29 000 years ago to the late Holocene) sequences in the Bismarck Archipelago to reconstruct changes in environments directly exploited by human populations in this part of the world. Our results show a subtle response of tropical habitats in Near Oceania to relatively arid conditions during the late‐glacial period, something that has also been observed at sites in South and Southeast Asia, followed by a Terminal Pleistocene–Holocene expansion of tropical forest cover. Nevertheless, site‐based variability in environmental responses across this period highlight the need for more multidisciplinary studies of human occupation sequences in a region that is becoming increasingly central to exploring human adaptations, environmental modifications and social network development over the past 20 000 years.
Adaptive Detached Eddy Simulation and Passive Scalar Transport Modeling for Hybrid RANS/LES

The work described in this dissertation, follows the attempt made in Reddy et al. (2014a), to make Detached Eddy Simulation model more like traditional LES in eddy simulation region. Work done by Reddy et al. (2014a) proposed the `2ω DDES model that shares a similar formulation with Smagorinsky model in eddy simulation region. In the present research, an adaptive procedure was devised (Yin et al., 2015), to allow automatic adjustment of a model coefficient CDES to flow condition and grid resolution. The adaptive method is based on the Germano identity, and on a lower limiting value that is a function of the grid resolution and the Kolmogoroff length scale. The function, being a gauge for grid resolution, allows the model coefficient to be computed dynamically, wherever suitable. To extend adaptive DES to compressible flow and heat transfer, a passive scalar transport model is proposed for Hybrid RANS/LES (Yin and Durbin, 2016b). This too is an adaptive model. Adaptivity is based on computing test-filter fluxes. The formulation proves to be especially effective on coarse grids, as occur in DES. Under the principle that DES should converge to wall-resolved LES as the mesh becomes fine near the wall, a modification is made on the adaptive DES model to make this limit feasible (Yin and Durbin, 2016a). The modification is to the limiting function. It is found that the RANS region shrinks to y+ ∼ 5 on fine meshes, thus allowing the model to be almost equivalent to wall-resolved LES. One place where the wall-resolved asymptote can play a role is in laminar to turbulent transition. Both the original and modified formulation are tested in orderly, bypass, and separation induced transition. Three separated test cases are also included here: a series of 3-D diffusers, jet in cross flow, and rotating channel flows — for more elaborate testing of proposed model. The 3-D diffuser series, reveals that the adaptive method in Yin et al. (2015) has discrepancies with LES even on fine meshes, which partially motivates the revised model (Yin and Durbin, 2016a). The
Factors Influencing Accounting Information Systems in Small and Medium Enterprises: The Case in Hanoi, Vietnam

Purpose: The study aims to identify the factors influencing the accounting information system in small and medium-sized enterprises in Hanoi, Vietnam. Theoretical framework: The paper is based on the theoretical framework of factors affecting the accounting information system which has been done before and applied in small and medium-sized enterprises in Hanoi, Vietnam. Design/methodology/approach: The questionnaire was distributed to 350 small and medium-sized enterprises in Hanoi, and a total of 245 valid responses were collected. They included directors, chief accountants, and accounting staff. By multivariate regression analysis from SPSS 22 software, the results indicate that there are five factors affecting the effectiveness of the accounting information system in small and medium-sized enterprises in Hanoi. Findings: The regression findings support the significant positive impacts of these factors influencing the accounting information system in small and medium-sized enterprises in Hanoi as follows: (1) Managerial knowledge, (2) External expert support, (3) Organizational characteristics, (4) User participation in the system, and (5) Managerial support. Research, Practical & Social implications: The study provides factors influencing the accounting information systems in small and medium-sized enterprises in the case of Hanoi, Vietnam. This result provides useful references for relevant issues. The research results are the basis for proposing solutions to improve the Accounting Information Systems in Vietnam for making decisions. Originality/value: The value of the study is providing an expansion of the factors influencing accounting information systems. Research results provide useful references for research on related issues. These findings can be useful for Vietnamese enterprises to take measures to improve their Accounting Information Systems, thereby improving business performance.
Quantum chemical investigation of spectroscopic, electronic and NLO properties of (1E, 4E)-1-(3-nitrophenyl)-5-phenylpenta-1,4-dien-3-one

In the present work the optimized molecular geometry and harmonic vibrational frequencies of chalcone derivative were calculated by DFT/B3LYP method with 6–31G (d,p) basis set. The vibrational assignments were performed on the basis of the potential energy dis-tribution (PED) of the vibrational modes. Natural bond orbital (NBO) analysis has been performed on title compound using B3LYP/6–31G (d,p) and HSEh1PBE /6–31G (d,p) levels in order to elucidate intermolecular hydrogen bonding, intermolecular charge transfer (ICT) and delocalization of electron density. Mulliken atomic charges, natural population analysis (NPA) and atomic polar tensors (APT) were performed. The nonlinear optical properties of the title compound are also calculated and discussed. Molecular electrostatic poten-tial and HOMO-LUMO energy levels are also computed. Ultraviolet–visible spectrum of the title compound has been calculated using TD–DFT method. The molecular orbital contributions were studied by density of states (DOSs). Global reactivity descriptors have been calculated using the HOMO and LUMO to predict compound reactivity.
Towards the treatment of moving targets with scanned proton beams: experimental verification of motion mitigation techniques with Gantry 2 at PSI

Many cancer patients receive radiotherapy at some stage of treatment. In radiotherapy, the patient is irradiated with high-energy X-ray radiation. In the past few years, proton therapy has gained in popularity, as it is in principle able to cause the same damage to tumours as with X-ray radiation, while reducing damage to the surrounding healthy tissue. While many of the recently established proton therapy centres are equipped with the technology for providing modern, scanned proton therapy, treatment sites are still restricted to tumours with small or no motion during treatment, such as tumours in the brain, skull base and spine. Several methods have been proposed to allow treatment of mobile tumours. Extensive simulations have been run with the general conclusion that such treatments are possible. Less work has been done on the question whether these conclusions are reflected in experiments. The aim of this thesis is to provide answers to this question. Two motion mitigation methods have been studied: re-scanning and gating. In rescanning, motion effects are averaged by applying a treatment plan several times per fraction. The idea of gating is to suspend treatment if the tumour is too much out of its planned position. Both methods have been investigated in a homogeneous phantom. Variations in the dose distributions due to changes in the range of the proton beam are thus not incorporated. In discrete scanning, dose delivery is paused while re-positioning the proton beam on a discrete grid of dose delivery positions (spots). By choosing the right re-scanning method, motion of up to 1 cm peak-to-peak amplitude could be mitigated. For this purpose, a scanning system with fast energy modulation is required. The performance of gating depended not only on the amplitude of the residual motion but also on the target volume and the motion trajectory. Gating was only an effective technique to alleviate motion effects for a spherical target and regular motion. However, by combining gating and re-scanning, homogeneous dose distributions could be achieved. Since re-scanning and gating increase treatment time, a faster scanning technique, continuous scanning, has been investigated as well. The beam is switched off only for energy changes. It could be shown that this method delivers dose distributions comparable to discrete spot scanning. Motion mitigation by re-scanning was at least as effective as with discrete spot scanning and did not depend on the target volume. Continuous line scanning was employed to mimic passive scattering proton therapy with a scanning system. To this end, highly re-scanned plans were applied with a collimator and compensator. Motion of up to 1 cm could be alleviated. The intent of this approach is to offer both this simulated scattering and scanning proton therapy with a single system. Benefits include less neutron contamination and better conformity of the dose distributions.
Formulation, physicochemical evaluation and antimicrobial activity of green toothpaste on streptococcus mutans

Background: Toothpaste is a cosmetic product with increasing relevance and demand. However most commercial toothpaste consist of complex chemicals whose health safety remain unclear.Objectives: The present work involves the formulation, and comparative physicochemical evaluation and antimicrobial activity of green toothpaste and three commercial toothpastes (Close-Up, Oral-B and Dabur-Herbal)Methods: The green toothpaste were formulated using Tumeric (Curcuma longa), Aloe Vera (Aloe barbadensis miller), Guava (Psidium guajava), Mint (Mentha piperita), Neem (Azadirachta indica), and Lemon (Citrus lemon) as the active ingredients and comparatively evaluated for various properties like colour, taste, odor, texture, abrasivity, spreadability, cleansing ability, foaming ability, stability, homogeneity, moisture content, gritty matter and pH. The antimicrobial activity of the formula was comparatively tested on Streptococcus mutans (the major causative organism of dental caries). Results: Cold extracts of plant materials with ethanol showed a relative low (3.6% - 6.8%) percentage recovery of bioactive compounds. Physico-chemical tests revealed that the spreadability, pH, foam, gritty matter and homogeneity gave favourable results that compares well with commercial ones. The result of the antimicrobial test shows significant difference between the mean zones of inhibition of the various toothpastes.Conclusion: The results of the study agree with traditional application of the herbaceous plants and showed that the formulated toothpaste contains phytochemicals which possess antimicrobial properties and may be safer compared to toothpaste consisting of synthetic chemicals.