Miracle-dz/UniFAR-FTUs huggingface dataset:
The conceptual model of the relationship between institutional transparency, citizen trust and satisfaction (A case study of Tehran city, Iran)

Trust, along with transparency, is an important indicator of a satisfactory relationship between a government and the public. Considering transparency as the key to trust in government, the purpose of this paper is to postulate a link between transparency and trust taking into account satisfaction as a psychological factor. This paper tries to find the answer of these questions: “Is there any significant relationship between institutional transparency and citizen trust? And what is the role of citizen satisfaction in this context? ” In order to investigate these questions, through survey method of research, this paper presents the results of an experiment (N=384) testing three hypotheses by statistical analysis which involve the relationship between institutional transparency, citizen trust and satisfaction. Tehran municipality is elected as a specific institution. This study found that transparency will significantly increase citizen trust, and satisfaction will play a significant role in the relationship between transparency and citizen trust. As well, trust will increase satisfaction. This study found that transparency and satisfaction play a substantial role in enhancing citizen trust. Furthermore, transparency and citizen trust play a significant role in enhancing citizen satisfaction. The results show that among background variables (gender, age, education, income and history of residence) the two variables, education and income have a week significant relationship with trust.
Discussion of “A selective review of statistical methods using calibration information from similar studies” and some remarks on data integration

Qin, Liu and Li (henceforth QLL) review methods for combining information using empirical likelihood and related approaches; many of these ideas originated in the earlier work of Jing Qin. I thank the authors for their review, and for the opportunity to contribute to its discussion. I have little to say about technical aspects, which are well established but will comment briefly on broader aspects of data integration, and implications for methods like those in the article. I will focus on settings where there is a response variable Y and covariates X , Z and assume the target of inference is either the distribution f ( y | x , z ) of Y given X , Z or the ‘marginal’ distribution f m ( y | x ) of Y given X . In health research Y might represent (time to) the occurrence of some specific event, and X , Z covariates, exposures or interventions. The distribution f ( y | x , z ) is important for individual-level decisions; in settings where X represents interventions f m ( y | x ) is relevant in randomized trials and comparative effectiveness research. The authors consider two main topics in data integration: (i) the use of external auxiliary data to augment the analysis of a specific ‘internal’ study, and (ii) the combination of data from separate studies with a view to for common parameters or They focus on where,
Making an engine: performativities of building information standards

ABSTRACT Digitization of buildings requires the systematic handling of a variety and volumes of data. It is a common vision to aim for coordinated homogenization of data structures, enabled by the classification of information. This paper studies the role of building information standards for classification in digitization of the building life cycle. It draws on science and technology studies of information technology standards, big data and building information modelling (BIM) in building research. The approach is based on performativity of standards for information systems, viewing performativity as potentially non-linear and multiple. The five-year design process of a large hospital in Denmark is examined as episodes of performance of the building information standard, particularly one recent standard, the Cuneco Classification System (CCS). The study shows that despite client demands, several building information standards are active over time: an ‘expansive’ design brief process adds user demands and uses room classification. Another process diminishes the design brief more than 50%, with several standards in use. The client’s facilities management system, which performs the structuring of data ‘backwards’ into the design process, makes architects and engineers (but not contractors) use CCS. This fragmentation of performing standards is denoted ‘multiple performativities’ and includes temporal and compartmental performativity.
Prevalence and richness of malaria and malaria-like parasites in wild birds from different biomes in South America

South America has different biomes with a high richness of wild bird species and Diptera vectors, representing an ideal place to study the influence of habitat on vector-borne parasites. In order to better understand how different types of habitats do or do not influence the prevalence of haemosporidians, we performed a new analysis of two published datasets comprising wild birds from the Brazilian Savanna (Cerrado) as well as wild birds from the Venezuelan Arid Zone. We investigated the prevalence and genetic diversity of haemosporidian parasites belonging to two genera: Plasmodium and Haemoproteus. We evaluated data from 676 wild birds from the Cerrado and observed an overall prevalence of 49%, whereas, in the Venezuelan Arid Zone, we analyzed data from 527 birds and found a similar overall prevalence of 43%. We recovered 44 lineages, finding Plasmodium parasites more prevalent in the Cerrado (15 Plasmodium and 12 Haemoproteus lineages) and Haemoproteus in the Venezuelan Arid Zone (seven Plasmodium and 10 Haemoproteus lineages). No difference was observed on parasite richness between the two biomes. We observed seven out of 44 haemosporidian lineages that are shared between these two distinct South American biomes. This pattern of parasite composition and prevalence may be a consequence of multiple factors, such as host diversity and particular environmental conditions, especially precipitation that modulate the vector’s dynamics. The relationship of blood parasites with the community of hosts in large and distinct ecosystems can provide more information about what factors are responsible for the variation in the prevalence and diversity of these parasites in an environment.
High Efficiency Vibration Energy Harvesting Through Combined Isolator and Absorber Approach

Abstract Relative motion is required for vibration energy harvesting, such as magnet moving past the coil in inductive approach and tip-mass motion in piezoelectric approach. Typically, relative motion is created by amplifying the source displacement and storage of mechanical energy in an auxiliary vibrating mass. In this study, we propose a novel technique to create the relative motion without amplification of the original source displacement. The technique relies on cancelling the vibration at one location and transferring the source vibration directly to another location through combination of a vibration isolator with a vibration absorber. In this multi-degree of freedom configuration, the power is harvested from the displacement of the vibrating source rather than the displacement of an auxiliary mass. This configuration eliminates the need to capture relative motion with respect to an externally fixed component. A prototype was designed and fabricated based on this concept which was found to harvest 45 mW at 0.9 G base acceleration and weighed 462 g. Through analytical modeling it was determined that the prototype could generate 87 mW @ 1 G base acceleration, while weighing only 243 g. Also, an optimal balance between the bandwidth and the maximum power harvested was identified through parametric analysis.
Analysis of neutral-point voltage balancing problem in three-level neutral-point-clamped inverters with SVPWM modulation

In this paper, the evolution and the control options of the neutral point potential in NPC inverters with SVPWM modulation are analysed. In this analysis, the different components that can be found in the phase current are taken into account: fundamental, DC current and harmonics. Firstly, the current injected in the neutral point by the nonredundant medium vectors is evaluated for each phase current component. The only components that inject DC current in neutral point are demonstrated to be the even and nonmultiple of 3 current harmonics. This DC current tends to unbalance the neutral point potential. Finally, the compensation of this DC current by means of both the small redundant vectors and the fundamental component of the phase current is analysed. This study allows the maximum amplitude of the phase current harmonics to be determined without losing the neutral point potential control with the SVPWM modulation.
A Lagrangian-Lagrangian Framework for the Simulation of Fluid-Solid Interaction Problems with Rigid and Flexible Components

This work is concerned with formulating and validating a Lagrangian-Lagrangian (LL) approach for the simulation of fully resolved Fluid Solid/Structure Interaction (FSI) problems. In the proposed approach, the method of Smoothed Particle Hydrodynamics (SPH) is used to simulate the fluid dynamics in a Lagrangian framework. The solid phase is a general multibody dynamics system composed of a collection of interacting rigid and deformable objects. While the motion of arbitrarily shaped rigid objects is approached in a classical 3D rigid body dynamics framework, the Absolute Nodal Coordinate Formulation (ANCF) is used to model the deformable components, thus enabling the investigation of compliant elements that experience large deformations with entangling and self-contact. The dynamics of the two phases, fluid and solid, are coupled with the help of Lagrangian markers, referred to as Boundary Condition Enforcing (BCE) markers used to impose no-slip and impenetrability conditions. The BCE markers, which are associated both with the solid suspended bodies and with any confining boundary walls, are distributed in a narrow layer on and below the surface of solid objects. The solid-solid interaction is known to have a crucial effect on the small-scale behavior of fluid-solid mixtures. The dry encounter of solid surfaces is resolved herein through a penalty based approach. However, using this model for the short range interaction of solid surfaces in fluid media does not follow the real physics of wet interaction. To accommodate this, a lubrication force model consistent with SPH is adopted herein to capture the short range interaction of arbitrary shapes in fluid. The ensuing fluid-solid interaction forces are mapped into generalized forces on the rigid and flexible bodies and subsequently used to update the dynamics of the solid objects according to the rigid or flexible body motion. The software implementation of the proposed LL approach is used to investigate the twoand three-dimensional (2D, 3D) pipe flow of dilute suspensions of macroscopic neutrally buoyant rigid
A CMOS Low-Power Noise Shaping-Enhanced SMASH ΣΔ Modulator

: A discrete-time (DT) high-resolution and low-power sturdy multi-stage noise-shaping (SMASH) sigma-delta (ΣΔ) modulator is introduced. It proposes major solution for high-resolution applications relying on M-bit digital input-feedforward (DFF) technique which eliminates a power-hungry analog adder before the stage’s quantizer, decreases number of comparators for quantizer implementation and reduces the swing of the integrator’s output and a 2 nd -order noise-coupling (NC) technique realized by few extra analog paths and enhances the noise shaping of the modulator without adding active blocks. The effectiveness of the introduced modulator is supported by the behavioral simulation and extensive mathematical analyses. The proposed modulator along with conventional one is simulated in a 0. 18μm CMOS technology. The results indicate an outstanding improvement in dynamic range (DR) and resolution with less complexity.
Calorie estimation model for Indian elderly persons using image processing and convnets techniques

Nutrition is a basic human necessity as well as a requirement for a healthy lifestyle. Especially in elderly people, nutrition is an essential modulator of health and well-being. Nutritional intake in older people is sometimes hampered by a variety of circumstances like isolation depression, weak muscles etc. which increases the risk of various diseases. An effective Food Assessment system that classifies and estimates calorie requirements from a cooked food image is highly recommended, allowing a person to discover what foods contain and how healthy it can be. In this paper a dietary assessment system is developed which classifies the given Indian cooked food image and further estimates its Calories and nutrients by obtaining food region. The proposed method was tested on certain fruits and cooked foods, yielding an average error rate of 8.31, which is highly acceptable.
Anti-SARS-CoV-2 Titers Predict the Severity of COVID-19

Coronavirus disease 2019 (COVID-19) due to SARS-CoV-2 is associated with a wide spectrum of disease, ranging from asymptomatic infection to acute respiratory distress syndrome. Some biomarkers may predict disease severity. Among them, the anti-SARS-CoV-2 antibody response has been related to severe disease. The aim of this study was to assess the correlation between the anti-SARS-CoV-2 serological response and COVID-19 outcome. Demographic, clinical, and biological data from nasopharyngeal-PCR confirmed COVID-19 hospitalized patients were prospectively collected between April and August 2020 at our institution. All patients had serial weekly serology testing for a maximum of three blood samples or until discharge. Two different serological assays were used: a chemiluminescent assay and an in-house developed Luminex immunoassay. Kinetics of the serological response and correlation between the antibody titers and outcome were assessed. Among the 70 patients enrolled in the study, 22 required invasive ventilation, 29 required non-invasive ventilation or oxygen supplementation, and 19 did not require any oxygen supplementation. Median duration of symptoms upon admission for the three groups were 13, 8, and 9 days, respectively. Antibody titers gradually increased for up to 3 weeks since the onset of symptoms for patients requiring oxygen supplementation with significantly higher antibody titers for patients requiring invasive ventilation. Antibody titers on admission were also significantly higher in severely ill patients and serology performed well in predicting the necessity of invasive ventilation (AUC: 0.79, 95% CI: 0.67–0.9). Serology testing at admission may be a good indicator to identify severe COVID-19 patients who will require invasive mechanical ventilation.
The conservation method effects of the Barley-Vetch mixture planted together on theperformance of pregnant ewes

: The aim of this study was to examine the effects of barley-vetch hay and barley-vetch silage on liveweight change in pregnant sheep and birthweight in lambs and to determine the optimal form of barley-vetch roughage usage in sheep feeding. Forty-eight (Kıvırcık x Akkaraman (G 1 ) sheep were blocked according to age and randomly distributed to three groups: barley-vetch hay (H, n = 16), barley-vetch silage (S, n = 16), and the control group (C, n = 16). The H group was fed barley-vetch hay ad libitum and limited concentrate, the S group was fed barley-vetch silage ad libitum and limited concentrate, and the C group was fed barleygrass straw + alfalfa hay (50/50%) and limited concentrate feed. The trial was started in the final trimester period of the pregnancy and lasted 90 days. Liveweight and feed intake of the pregnant sheep were recorded in the last period of pregnancy. The liveweight of the lambs were measured at lambing and then on d 15 and 30. There is no diet effect on liveweights measure 1 and 2 months after lambing (p > 0.05). The liveweight value of sheep at lambing was 67.01 ± 1.32, 64.07 ± 1.54, and 64.89 ± 1.48 kg for the groups H, S, and C, respectively. The birth type was significant on birth weight (p < 0.05). Lamb liveweights on d 15 and 30 for the group H was greater than those for the group S (p < 0.05). Lambs’ birth weight and weights on d 15 and 30 were 4.94 ± 0.13, 4.44 ± 0.15, and 4.77 ± 0.17 kg; 9.30 ± 030, 8.03 ± 0.30, and 8.94 ± 0.34, 13.36 ± 0.43, 10.85 ± 0.56, and 12.37 ± 041 for groups respectively. In conclusion, barley-vetch mixture can be used as hay and silage in pregnant sheep feeding, being hay superior to silage.
Natural Feed Supplements Improve Growth, Non-Specific Immune Responses and Resistance against Vibrio alginolyticus in Lates calcarifer

This study aimed to investigate the effects of dietary natural feed supplement on the growth performance, non-specific responses, and disease resistance in Lates calcarifer. Three commercial products (A, B, and C) containing a basal probiotic mixture were tested. Product A contained a basal mixture of Paenibacillus sp. , Bacillus subtilis, Bacillus amyloliquefaciens, and Lactobacillus rhamnosus (107 cfu/g for each probiotic); product B contained additional Lactobacillus plantarum (1010 cfu/g); and product C contained additional soybean peptides (500 g/kg) and garlic powder (1 g/kg). Each product was supplemented into subject diets at dosages of 1 or 2 g/kg (designated as the A1, A2, B1, B2, C1, and C2 groups, respectively). Following an eight-week trial, growth parameters (specific growth rate and feed conversion ratio), non-specific immune responses (O2− production, phagocytic rate, and phagocytic index), and the results of a challenge test against Vibrio alginolyticus were evaluated. The results show that all probiotic supplement groups exhibited an improvement in growth performance compared to the control group (non-probiotic diet). In terms of non-specific immunity parameters, a significant improvement in O2− production was found in the C2 group, whereas significant improvements in phagocytic activity were found in all the B and C groups. The C2 group displayed optimal O2− production, phagocytic rate, and phagocytic index results. For the challenge test, the C groups showed higher Vibrio resistance than the other experimental groups and the control group. These results suggest that product C, given at dosages of 2 g/kg, may serve as a growth-promoting and immunostimulatory additive for the cultivation of Asian seabass.
Noise analysis in power distribution systems

This paper proposes an analysis, especially in time domain, of the electrical noise existent on the power distribution lines. This study is important for the use of powerlines as a channel of information transmissions. This information may refer to analog signals and as well to digital signals. The main problem addressed in this paper consists in the characterization of the background noise and to establish his statistical proprieties. It is very important to know if the noise induced in the transmission channel is a stationary one, or even an ergodic one. The main parameters like the mean value, the mean square value were determined in this paper. The approximation of the probability density function of each statistical parameter was studied. The pulses induced in the transmission channel by the transient phenomena of the power electrical systems were considered deterministic signals and their contributions were not included in this study.
Joint Energy and Workload Scheduling for Fog-Assisted Multimicrogrid Systems: A Deep Reinforcement Learning Approach

Due to the fluctuation of renewable energy, the uncertainty of electrical loads, and the complexity of networked microgrids, it is challenging to dispatch multiple resources to minimize the operating cost of multi-microgrid system (MMGS). In this article, a fog-assisted operating cost minimization problem of MMGS is investigated with the consideration of source-grid-load-storage-computing coordination. Since there are strong couplings among multiple resources, it is difficult to solve the problem directly. Therefore, the above problem is reformulated as a Markov game. Then, a novel energy management algorithm is proposed to solve Markov game based on multiagent deep reinforcement learning. It is worth mentioning that the proposed energy management algorithm can support local real-time decisions for each microgrid without knowing any prior knowledge of uncertain parameters and private information of other microgrids. Simulation results indicate that the proposed algorithm can reduce the long-term cost of each microgrid by 0.09<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula>–8.02<inline-formula><tex-math notation="LaTeX">$\%$</tex-math></inline-formula> compared with baselines.
Impact of fermentation duration on the quality of Malaysian cocoa beans using shallow box

Standard fermentation of cocoa in Malaysia is five days using shallow box fermentation. This duration is considered long to farmers as they have to allow the beans to dry for another three to seven days before they can sell it. This study was conducted to evaluate the impact of the fermentation duration using shallow box on the quality of the Malaysian cocoa beans. Fermentation was done at the Cocoa Research Centre, Hilir Perak with capacity of 150 kg. During fermentation, the mass temperature and pH of the wet beans was taken for every 24 hours. Three subsamples of about 30 kg of the fermented beans were taken randomly at the end of the Day-3, Day-4 and Day-5 of fermentation and sun-dried at one bean thickness layer. The quality of dried beans produced was assessed using cut test, fermentation index and pH of cotyledon analysis. Cut test analysis indicated the percentage of fully brown beans increased from 62% to 82%. Similar increasing trend was observed for the fermentation index (FI). Cocoa fermented for five days had FI value of 1.41, 1.27 for four days and 1.21 for three days, respectively but there was no significant difference in acidity of dried beans samples. Thus, this might suggest fermentation of Malaysian cocoa beans in shallow box fermentation could be shortened to three days. Organoleptic analysis will be carried out to assess if the flavour attribute of beans produced in three days fermentation is significantly different.
Wearable Pulse Oximeter for Swimming Pool Safety

The purpose of this research was to develop an algorithm for a wearable device that would prevent people from drowning in swimming pools. The device should detect pre-drowning symptoms and alert the rescue staff. The proposed detection method is based on analyzing real-time data collected from a set of sensors, including a pulse oximeter. The pulse oximetry technique is used for measuring the heart rate and oxygen saturation in the subject’s blood. It is an optical method; subsequently, the measurements obtained this way are highly sensitive to interference from the subject’s motion. To eliminate noise caused by the subject’s movement, accelerometer data were used in the system. If the acceleration sensor does not detect movement, a biosensor is activated, and an analysis of selected physiological parameters is performed. Such a setup of the algorithm allows the device to distinguish situations in which the person rests and does not move from situations in which the examined person has lost consciousness and has begun to drown.