Miracle-dz/UniFAR-FTUs huggingface dataset:
POWER GENERATION FROM COMBUSTED “SYNGAS” USING HYBRID THERMOELECTRIC GENERATOR AND FORECASTING THE PERFORMANCE WITH ANN TECHNIQUE

Gasification and combustion of de-oiled Pongamia Pinnata seed cake is done to produce higher energy biomass waste heat “syngas” for generating power using hybrid thermoelectric generator ( TEG ). A test rig is fabricated and experiments conducted with synthetic oil ( Therminol-55 ) as the heating fluid under water and air-cooled methods. The hot side temperature is varied from 200 - 250oC while the coolant temperature is maintained at 30 o C for both water and air respectively. Experimental results showed 22.27% enhancement in electric power at a constant hot side temperature of 250 oC under water cooled method. In addition, simulation results for the above mentioned conditions using artificial neural networks ( ANN ) tool in MATLAB also agreed well with the sample experimental results. The performance parameters such as open circuit voltage, maximum output power and matched load resistance are forecasted using ANN upto maximum possible hot side temperature of 350oC. Further, the financial evaluation of Biomass gasified-thermoelectric system ($0.0018/kWh and in terms of Indian currency is ₨ 0.0676/kWh) is found to be almost negligible on comparison with other available renewable energy technologies.
Dynamic Persuasion and Strategic Search

Consumers frequently search for information before making decisions. Because their search and purchase decisions depend on the information environment, firms have a strong incentive to influence it. This paper endogenizes the consumer’s information environment from the firm’s perspective and endogenizes the search decision from the consumer’s perspective. We consider a dynamic model where a firm sequentially persuades a consumer to purchase the product. The consumer only wishes to buy the product if it is a good match. The firm designs the information structure. Given the endogenous information environment, the consumer trades off the benefit and cost of information acquisition and decides whether to search for more information. Given the information acquisition strategy of the consumer, the firm trades off the benefit and cost of information provision and determines how much information to provide. This paper characterizes the optimal information structure under a general signal space. We find that the firm only smooths information provision over multiple periods if the consumer is optimistic about the product fit before searching for information. Moreover, if the search cost for the consumer is high, the firm designs the information such that the consumer will be certain that the product is a good match and will purchase it after observing a positive signal. If the search cost is low, the firm provides noisy information such that the consumer will be uncertain about the product fit but will still buy it after observing a positive signal. This paper was accepted by Dmitri Kuksov, marketing. Funding: This work was supported by University of California, Berkeley, the Institute for Business Innovation [Research Grant], and the Center for Equity, Gender, and Leadership [Research Grants]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/mnsc.2023. 00994 .
A Comparative Analysis of COVID Forecasting by Using Various Machine Learning Methods

Covid-19 emerged as one of the most infectious diseases in the history of mankind, affecting nearly 250 million people all over the world in just a short period. The pandemic which started in China, has now spread all over the world, taking about 5 million lives globally. This has also severely affected the economies of countries and has proved to be a burden on health care systems. Due to these reasons, forecasting the spread of the disease has become critical so that concerned government authorities in countries can have the chance to mitigate the spread and plan health care resources efficiently and properly. This makes it more important to have a reliable forecast so that resources can be planned ahead of time. In the present work, linear regression is used for time forecasting the spread of Covid-19 in Pakistan. Statistical parameters and metrics have been used to evaluate and validate the model. The results show that linear regression results are highly reliable, time efficient and accurate.
Exploring Ethnomatematics on the Fish Breeding Activities in Tambak Bulak

Ethnomathematics is a mathematical idea that grows in a culture. Ethnomathematics is an important idea to know the role of mathematics in everyday life. Through ethnomathematics, learning mathematics can be taught in close situations with students. Thus, students will be easier and interested in understanding mathematical concepts at school. Therefore, this study was conducted to identify the ethnomathematical form that exist in fish breeding activities in Tambak Bulak Sidoarjo which focuses on six fundamental activities in a culture. This research is a qualitative research with an ethnographic approach. Data obtained from participant observation and interviews with fish breeders from the Tambak Bulak Sidoarjo community with data collection instruments are observation sheets, interview guidelines, and research note sheets. Furthermore, the data will be analyzed using qualitative data analysis techniques. The results showed that, there were ethnomathematical form in fish breeders activities in Tambak Bulak Sidoarjo related to the concept of numbers, cartesian coordinate system, length, direct proportion, inverse proportion, plane figures namely rectangles, trapezoids, circles, rhombuses, triangles, and pentagons, also the math logic concepts. Thus, fish breeders activities can be used as a bridge to teach mathematical concepts in schools with the hope that students can more easily understand the mathematical concepts. Keyword: ethnomathematics, fish breeding, Tambak Bulak Sidoarjo.
Simulation of Steady State Groundwater Flow in the Lower Pra Basin , Ghana

This study conceptualized the groundwater flow system; estimate the distribution of hydraulic conductivity and groundwater recharge in the lower Pra Basin in Ghana using the Groundwater Modeling System (GMS). It gives a detailed description of the site which consists of the Geographical, Hydrogeological and aquifer Characteristics of the region. The model was built by first developing a conceptual model which describes the hydrogeological framework, distribution of spatial and temporal boundary conditions, groundwater sources and sinks. This conceptual model was further converted to a numerical model for the flow simulation. Model calibration and sensitivity analysis were performed on the numerical model by comparing the observed hydraulic head with the simulated hydraulic head during calibration while model parameters were varied to obtain the most sensitive parameters in the model. The model performance was estimated to give RMSE = 3.32, R = 0.99 and ME = 0.07. This gives a high model performance for the study area. DOI: https://dx.doi. org/10.4314/jasem.v26i3. 16 Open Access Article: (https://pkp.sfu.ca/ojs/) This an open access article distributed under the Creative Commons Attribution License (CCL), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Impact factor: http://sjifactor.com/passport.php? id=21082 Google Analytics: https://www.ajol. info/stats/bdf07303d34706088ffffbc8a92c9c1491b12470 Copyright: © 2022 Oriakhi and Okonofua Dates: Received: 10 January 2022; Revised: 22 February 2022; Accepted: 15 March 2022
Histology and histochemistry of cement glands of Balanus kondakovi

Abstract. Balanus kondakovt an operculate barnacle was chosen as an experimental material for tn-situ characterisation of the adhesive material of its cement apparatus by standard histochemical techniques. Reactions of PAS, LTAS or Alcian Blue with cement were generally negative indicating the absence of polysaccharides. Sudan Black B test for lipids also gave poor reaction. The classic Millon's reaction for tyrosine gave positive result and DMAB method for tryptophan developed weak blue eolour in some areas of the cytoplasm. Protein bound sulfhydril or disulfide groups could be identified. The histochernieal tests thus revealed that the cement material was generally poor in carbohydrates and lipid and that it had good proportion of protein.
Professionalism and Locus of Control on Whistleblowing Inten- tion: The Moderating Role of Organizational Commitment

The purpose of this study was to determine the effect of organizational commitment as moderating the relationship between professional commitment, locus of control, and professionalism on whistleblowing intention. This study uses a quantitative approach with descriptive analysis methods. The population were all 87 Government Internal Supervisory Apparatus (APIP) at the Inspectorate of Banten Province. The result showed that: First, professional commitment has a positive significant relationship toward whistleblowing intention. Second, the locus of control has a positive significant relationship toward whistleblowing intention. Third, professionalism has a positive significant relationship toward whistleblowing intention. Forth, organizational commitment moderate the relationship between professional commitment toward whistleblowing intention. Fives, organizational commitment moderate the relationship between locus of control toward whistleblowing intention. Six, organizational commitment moderate the relationship between professionalism toward whistleblowing intention.
Liver function status in Streptozotocin Induced Diabetic Rats Treated with Extracts of some Anti-diabetic Medicinal plants

The anti-diabetic effects of the plants Spondias mombin, Vernonia amgdalina, Annona murica and Nigella sativum have been reported in streptozotocin induced diabetic rats. This study assessed the liver function status of diabetic rats treated with these plant extracts. 42 rats were randomly divided into seven groups. Groups 1-3 served as the normal control, diabetic control and positive control groups respectively. Groups 4-7 were the Spondias mombin, Vernonia amgdalina, Annona murica and Nigella sativum extracts treated diabetic rats respectively. The liver markers assessed includes serum AST, ALT, ALP, total protein, albumin, bilirubin concentrations. The result showed that treatment with all plant extract resulted in a significant decrease in AST, ALT and ALP concentrations. However, a higher percentage decrease in ALP and ALT levels were observed in the Vernonia amgdalina treated diabetic rats when compared to other extract treated rats while Annona muricata treated rats gave the highest percentage reduction in AST concentration. Also treatment with V.amgdalina and Annona muricata gave the highest percentage reduction in total and conjugated bilirubin. Non-significant change was observed in protein and albumin levels. Histological evaluation revealed that treatment with extracts of Spondias mombin leaves, V. amgdalina leaves, Annona muricata leaves reverted the damage to the liver caused by STZ induction. V.amgdalina and Annona muricata are two plants to consider as powerful hepatoprotective agents. DOI: https://dx.doi. org/10.4314/jasem.v26i3. 5 Open Access Article: (https://pkp.sfu.ca/ojs/) This an open access article distributed under the Creative Commons Attribution License (CCL), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Impact factor: http://sjifactor.com/passport.php? id=21082 Google Analytics: https://www.ajol. info/stats/bdf07303d34706088ffffbc8a92c9c1491b12470 Copyright: © 2022 Eluehike et al
Addiction potential of combustible menthol cigarette alternatives: a randomised cross-over trial

Introduction The Food and Drug Administration (FDA) has issued proposed product standards banning menthol as a characterising flavour in cigarettes and cigars. The public health benefits of these product standards may be attenuated by the role of plausible substitutes in the marketplace. Therefore, the present study examined the addiction potential of plausible combustible menthol alternatives compared with usual brand menthol cigarettes (UBMC). Methods Ninety-eight adult menthol cigarette smokers completed four visits, smoking their UBMC at the first session and three menthol cigarette alternatives in random order at the subsequent visits: (1) a preassembled menthol roll-your-own (mRYO) cigarette using menthol pipe tobacco and mentholated cigarette tube, (2) a menthol filtered little cigar (mFLC) and (3) a non-menthol cigarette (NMC). Measures of smoking topography, exhaled carbon monoxide (CO), craving and withdrawal, subjective effects and behavioural economic demand indices were assessed. Results Compared with UBMC, menthol cigarette alternatives resulted in different puffing topography and CO exposure (except mRYO), and lower levels of positive subjective experience and behavioural economic demand indices. Among the alternative products, participants reported the highest level of positive subjective experience and higher demand for mRYO, compared with mFLC and NMC. Similarly, participants were significantly more likely to want to try again, purchase and use the mRYO product regularly compared with mFLC and NMC. Conclusions and relevance mRYO cigarettes were the most highly rated cigarette alternative among study products, suggesting their potential appeal as a menthol cigarette substitute and needed inclusion of menthol pipe tobacco and cigarette tubes in FDA’s proposed ban.
A mixing‐length‐scale‐based analytical model for predicting velocity profiles of open‐channel flows with submerged rigid vegetation

In open‐channel flows with submerged vegetation, the vertical velocity profile can often be described by two layers: the vegetation layer in the lower region and the surface layer in the upper non‐vegetated region. In this paper, a new mixing‐length scale of eddy is proposed for predicting the vertical velocity profile of flow in an open‐channel with submerged rigid vegetation. The analytical model of velocity profile is based on the momentum equation of flow where the turbulent eddy viscosity is assumed to have a linear relationship with the local velocity. The proposed model was tested against different datasets from the literature. The 22 datasets used cover a range of submergence [flow depth (H)/vegetation height (h) = 1.25 ~ 3.38], different vegetation densities of ah = 0.11 ~ 1.85 (a defined as the frontal area of the vegetation per unit volume) and bed slopes (So = 1.8 × 10−6 ~4.0 × 10−3). This study showed that the proposed model can predict the velocity profiles well against all datasets, and that the mixing length scale of eddies (λ) is well related with both vegetation height (h) and flow depth of surface layer (i.e. the height of non‐vegetation layer, H–h). Close examination of λ in the proposed model showed that when λ = 0.03 h(H-h) , the model predicts vertical velocity profiles well for all datasets used except for very shallow submergence (i.e. H/h < 1.5).
Analysis of cost and performances of agricultural machinery: reference model for sprayers

Management of agricultural operations is currently rapidly changing caused by increased attention to the concepts of sustainable development and sustainable intensification. Enhancement of productivity and efficiency of agricultural machinery are the leading factors in sustainable agriculture. The complete application and exploitation of engineering advances require the revision of traditional agricultural machinery management process. The definition of the farm fleet (tractors and implements), as well as machinery planning and management, must consider different parameters, including not only the cost of the machines but also their dimensions, weight, working width, needed power, etc. All of this information related to an agricultural machine is eventually influencing the impact on productivity, on the return on the investment, and also on the environment. The present work is aimed at identifying the most relevant parameters which are influencing costs and performances of sprayers, including tank volume, maximum flow, needed power, weight and price. The different parameters are analysed in a correlation matrix, in order to allow identification of dependencies and to extract reference models. The study is based on linear and multiple linear regression analysis carried out on technical specifications of about 700 models of sprayers. Relevant correlations were highlighted between price and weight, between weight and tank capacity and in some cases between power and weight. Following such correlations, models have been proposed, which can be implemented in order to support the decision making phases.
Energy Loss Allocation in Smart Distribution Systems with Electric Vehicle Integration

This paper presents a three-phase loss allocation procedure for distribution networks. The key contribution of the paper is the computation of specific marginal loss coefficients (MLCs) per bus and per phase expressly considering non-linear load models for Electric Vehicles (EV). The method was applied in a unbalanced 12.47 kV feeder with 12,780 households and 1000 EVs under peak and off-peak load conditions. Results obtained were also compared with the traditional roll-in embedded allocation procedure (pro rata) using non-linear and standard constant power models. Results show the influence of the non-linear load model in the energy losses allocated. This result highlights the importance of considering an appropriate EV load model to appraise the overall losses encouraging the use and further development of the methodology
The Effect of the Fluctuating Interplanetary Magnetic Field on the Cosmic Ray Intensity Profile of the Ground-level Enhancement (GLE) Events

We numerically integrate the equations of motion of a large number of GeV protons, released impulsively near the Sun, in order to study their time–intensity behavior at the location of an observer at 1 au. This is relevant to the interpretation of Ground Level Enhancements (GLEs) detected by neutron monitors on Earth. Generally, the observed time–intensity profiles reveal a single sharp rise, followed by slow decay. However, in the 1989 October 22 GLE event, there was an initial sharp spike followed by a secondary smaller spike in the particle intensity. We consider whether the propagation of the high-energy protons in a large-scale turbulent interplanetary magnetic field (IMF) can lead to this unusual time–intensity profile. The IMF model includes large-scale magnetic turbulence and a heliospheric current sheet. Ad-hoc scattering is used to mimic the effect of smaller-scale fluctuations resulting in pitch-angle scattering. Proton fluxes as a function of time and location for an observer are determined for various turbulence parameters, IMF polarities, and the size of the particle source near the Sun. We find that the fluctuating IMF leads to considerable variation in the arrival location of the particles crossing 1 au, and the time–intensity profile depends significantly on the observer's location and can have multiple peaks. An alternate explanation for the unusual structure in the 1989 October 22 GLE event is provided. Our findings show that the large-scale turbulent IMF enhances the access of the high-energy protons to the HCS at the early time of the event, which leads to efficient cross-field transport.
The Circumstellar Environments of Double-peaked, Calcium-strong Transients 2021gno and 2021inl

We present panchromatic observations and modeling of calcium-strong supernovae (SNe) 2021gno in the star-forming host-galaxy NGC 4165 and 2021inl in the outskirts of elliptical galaxy NGC 4923, both monitored through the Young Supernova Experiment transient survey. The light curves of both, SNe show two peaks, the former peak being derived from shock cooling emission (SCE) and/or shock interaction with circumstellar material (CSM). The primary peak in SN 2021gno is coincident with luminous, rapidly decaying X-ray emission (L x = 5 × 1041 erg s−1) detected by Swift-XRT at δ t = 1 day after explosion, this observation being the second-ever detection of X-rays from a calcium-strong transient. We interpret the X-ray emission in the context of shock interaction with CSM that extends to r < 3 × 1014 cm. Based on X-ray modeling, we calculate a CSM mass M CSM = (0.3−1.6) × 10−3 M ⊙ and density n = (1−4) × 1010 cm−3. Radio nondetections indicate a low-density environment at larger radii (r > 1016 cm) and mass-loss rate of Ṁ<10−4 M ⊙ yr−1. SCE modeling of both primary light-curve peaks indicates an extended-progenitor envelope mass M e = 0.02−0.05 M ⊙ and radius R e = 30−230 R ⊙. The explosion properties suggest progenitor systems containing either a low-mass massive star or a white dwarf (WD), the former being unlikely given the lack of local star formation. Furthermore, the environments of both SNe are consistent with low-mass hybrid He/C/O WD + C/O WD mergers.
Monitoring of long-term prestress losses in prestressed concrete structures using fiber optic sensors

This study presents a method for on-site assessment of prestress losses in prestressed concrete structures. The study is motivated by the increased use of prestressed concrete, the importance of prestressing force levels as a parameter, and the lack of formalized methods for its on-site assessment. The proposed method uses strain measurements from long-gauge fiber optic sensors to study strain changes at the centroid of stiffness (i.e. centroid of composite section) of the cross-sections. Its advantages include (1) robustness to operational load on the structure caused by seasonal and daily temperature variations, in addition to loading; (2) rigorous quantification of uncertainties associated with measurements and parameters; and (3) applicability to a wide range of beam-like structures. The application of the method is illustrated through application to measurements collected over a 7-year period from strain sensors embedded in Streicker Bridge, a post-tensioned concrete pedestrian bridge on the Princeton University campus. Application of the method indicates that prestress losses measured by sensors are of comparable magnitude to design estimates, which implies that estimates are not necessarily overly conservative.
Physicochemical And Sensory Characteristics of Fruit Leather From Various Indonesian Local Fruits

Indonesia has started to develop the fruit leather, but the texture hardens during storage and has a short shelf life. Fruit leather is a fruit-processed product made from various fruits that have a skin-like consistency. This research was aimed to obtain the physicochemical and sensory characteristics of the fruit leather from various fruits. The experiment was designed Randomized Complete Design (CRD) with two factors and three replications. The first factor was the various of fruit consisting of five types of local fruits. The second factor was margarine concentration, which consisted of 4 levels (0, 5, 10, and 15%). The analysis was performed on physical, chemical, microbiological, and sensory evaluation. The results showed that the most preferred fruit leather was made from pineapple with 10 % margarine concentration, with the following characteristics: moisture content of 16.36%, the yield of 51.30%, the texture of 79.34 g/f, lightness of 36.97, dietary fiber of 9.05%, an acid total of 1.59%, ascorbic acid of 85.34 mg / 100 g, sugar total of 18.40 %, log TPC of 0.90, with sensory score attribute: the color of 4.5, flavor of 4.05, taste of 4.5 and texture of 4.45, they were moderate like to like. The implication of this research is for diversification which can increase the added value and shelf life of local fruits in Indonesia.