Miracle-dz/UniFAR-FTUs huggingface dataset:
Dual Three-Phase Flux-Modulated Switched Reluctance Motor Drive With Maximum Torque per Ampere Strategy

This article proposes a novel dual three-phase flux-modulated switched reluctance motor (SRM) drive with maximum torque per ampere (MTPA) capability. Different from the existing open-winding structure, the stator winding is in dual three-phase connection, which effectively eliminates the side effects of the zero-sequence harmonic voltage component. Hence, the modulating region of the space vector pulsewidth modulation can be enhanced together with the increase of the dc-link voltage utilization ratio. The mathematical models of the dual three-phase flux-modulated SRM in the stationary reference frame and synchronous rotating reference frame are analyzed in detail. By considering the inductance nonlinearity, the MTPA control strategy is proposed based on the polynomial fitting method, which not only improves the torque capability but also simplifies the calculation of the current control system. The contributions of fundamental and harmonic currents to the electromagnetic torque are considered. By online adjusting the ratio of the dc-biased current component to the ac current component, the torque capacity can be improved. Besides, the effectiveness of the proposed MTPA control strategy can be enhanced by suppressing the harmonic current components caused by distorted back electromotive force. Experimental validations are provided to verify the effectiveness of the proposed SRM drive.
Formulation and in vitro Evaluation of Effervescent Bilayer Floating Controlled Release Tablets of Clarithromycin and Famotidine

The development of floating tablets with required buoyancy, lag time, and controlling release behaviour of drugs at target site is truly interesting and challenging task for researchers. Current study is concerned with the designing of effervescent floating controlled release tablets of clarithromycin and famotidine to treat peptic ulcer due to Helicobacter pylori (H. pylori) infection. Five formulations (F1-F5) were prepared, among which three formulations were of bilayered tablets while the remaining were included as plain tablets. These tablets were prepared by direct compression method using hydroxypropyl methylcellulose (HPMC) K100M, HPMC K4M and sodium bicarbonate as swelling and floating agents respectively. The qualitative tests such as thickness, hardness, weight variation, friability and uniformity of content were performed to ensure the quality of prepared tablets. The floating lag time of all formulations ranged from 14 to 20 seconds. The effervescent floating tablets with HPMC K4M (F1, F3 & F5) attained the total floating time of more than 12 hours, while tablets prepared with HPMC K100M (F2 & F4) achieved the total floating time of less than 7 hours. This difference in floating behaviour could be due to the variation in compaction and flow properties of the two polymers. The formulations with HPMC K100M (F2 & F4) have comparatively more sustained drug release properties when compared to F1, F3 and F4 using HPMC K4M as swelling and floating polymers. This could be attributed to better compaction of HPMC K100M. The prepared tablets follow non-Fickian diffusion kinetics. Overall, these floating controlled release effervescent bilayer and plain tablets may enhance the compliance and therapeutic outcomes of clarithromycin and famotidine in treatment of H. pylori.
ML-MCU: A Framework to Train ML Classifiers on MCU-Based IoT Edge Devices

The majority of IoT edge devices are embedded systems with a tiny microcontroller unit (MCU), which acts as its brain. When users want their edge devices to continuously improve for better edge-analytics results, there is a need to equip their devices with algorithms that can learn/train from the continuously evolving real-world data. Currently, such devices are not capable of executing any machine learning (ML)-based model training tasks due to their resource constraints such as: limited memory (SRAM, Flash, and EEPROM), low operations per second, its inability to perform parallel processing, etc. In this article, we provide ML-MCU, a framework with our novel Optimized-Stochastic Gradient Descent (Opt-SGD) and Optimized One-Versus-One (Opt-OVO) algorithms to enable both binary and multiclass ML classifier training directly on MCUs. Thus, ML-MCU enables billions of MCU-based IoT edge devices to self learn/train (offline) after their deployment, using live data from a wide range of IoT use cases. When evaluating our algorithms on multiple popular MCUs, using various data sets of different sizes and feature dimensions, one of the most exciting findings was, our Opt-OVO algorithm trained a multiclass classifier using a data set of class count 50, on a $\$ $ 3 resource-constrained MCU and also performed onboard unit inference for the same 50 class data in super real time (6.2 ms).
Flow Coefficient and Reduced Frequency Effects on Wake-Boundary Layer Interaction in Highly Accelerated LPT Cascade

The paper presents a detailed analysis of particle image velocimetry (PIV) measurements performed in a turbine cascade representative of highly accelerated low-pressure turbine (LPT) blades. Two cameras have been simultaneously used to observe a great portion of the suction side boundary layer with the highest possible spatial resolution, thus allowing us to solve the interaction process between impinging upstream wakes and the blade boundary layer. Four unsteady inflow conditions, characterized by different incoming wake reduced frequencies and flow coefficients, have been examined at fixed Reynolds number. The highly resolved flow fields have been processed to explore reduced frequency and flow coefficient effects on the boundary layer unsteady transition process and, consequently, on loss production. For a deep physical insight on the mechanisms responsible for loss generation, proper orthogonal decomposition (POD) has been applied at different phases of the wake passing period. This has provided the dominant structures affecting the cascade aerodynamics during the wake period. Moreover, the examination of POD modes has allowed us to show the effects induced by the parameter variation on the turbulent kinetic energy production and thus to the unsteady loss production mechanisms.
Bouveret’s syndrome: An unusual cause of gastric outlet obstruction

Introduction: Bouveret’s syndrome is a rare cause of pylorus or duodenal obstruction. This syndrome represents only 1–3% of all cases of gallstone ileus, more frequent in women and in the elderly. The clinical presentation is quite nonspecific, but in most cases the symptomatology suggests an upper digestive obstruction. Case Report: We report a case of a 46-year-old man admitted with upper digestive obstruction due to a large biliary calculus that eroded through the gallbladder’s wall and pylorus, leading to digestive obstruction at this level. After attempted and unsuccessful endoscopic therapy, the patient was treated by surgery, with gastrotomy and gallstone removal. The fistula between the gallbladder Marta Reia1, Francisco Messias2, Coral Aguero2, Rogério Godinho3, Tiago Rodrigues4, Eduardo Carvajal5, Carlos Cruz5, Juan Urbano6, Victor Silva2, Carlos Penalva Santos7 Affiliations: 1General Surgery Department, Hospital Santa Luzia Elvas, Unidade Local Saúde Norte Alentejano, Portugal; 2General Surgeon, General Surgery Department, Hospital Santa Luzia Elvas, Unidade Local Saúde Norte Alentejano, Portugal; 3Gastroenterologist, Special Exams Unit (Gastroenterology), Hospital Santa Luzia Elvas, Unidade Local Saúde Norte Alentejano, Portugal; 4Radiologist, Radiology Department, Hospital Santa Luzia Elvas, Unidade Local Saúde Norte Alentejano, Portugal; 5Internal Medicine, Internal Medicine Department, Hospital Santa Luzia Elvas, Unidade Local Saúde Norte Alentejano, Portugal; 6Head of Internal Medicine, Internal Medicine Department, Hospital Santa Luzia Elvas, Unidade Local Saúde Norte Alentejano, Portugal; 7Head of Surgery Department, General Surgery Department, Hospital Santa Luzia Elvas, Unidade Local Saúde Norte Alentejano, Portugal. Corresponding Author: Marta Reia, General Surgery Department, Hospital Santa Luzia, Elvas Unidade Local Saúde do Norte Alentejano, Av. Mariana Martins, 7350-954 Elvas, Portugal; Email: marta.o. reia@gmail.com Received: 01 May 2021 Accepted: 29 June 2021 Published: 05 August 2021 and pylorus was not approached, because of the extent of the local inflammatory process, and elevated risk of complications. Conclusion: Despite of being a benign disease, the morbidity and mortality of this syndrome may be elevated. The main objective of the treatment is to resolve the digestive obstruction, which can be achieved by upper gastrointestinal (GI) endoscopy, but most patients require a surgical approach. The treatment of the cholecystoduodenal/cholecystopyloric fistula—oneor two-stage treatment—is controversial, depending on the local inflammation, fibrosis, and anatomic distortion, as well the clinical condition of the patient.
Protected areas safeguard landbird populations in central coastal California: Evidence from long-term population trends

ABSTRACT Many bird populations have experienced population declines across North America over the past several decades. The establishment of protected areas has been used as a conservation action to maintain or help in the recovery of these populations; however, the effectiveness of protected areas in safeguarding bird populations within their borders from negative impacts to populations in surrounding unprotected areas has rarely been evaluated. Our study aimed to evaluate the effectiveness of protected areas in the San Francisco Bay Area of California for landbirds. We conducted point count surveys along riparian corridors in coastal Marin County in protected areas, predominately national parks, and estimated the population growth rates for 14 species over 23 years. We compared these growth rates to North American Breeding Bird Survey growth rate estimates from the Coastal California and the Northern Pacific Rainforest Bird Conservation Regions, which comprise larger, regional populations. A safeguarding effect was detected for 9 of the 14 species. We expected an effect on species strongly associated with riparian vegetation, which has incurred significant loss and degradation in the region; however, we instead observed benefits to general riparian users that were at least as great as the benefits to strong riparian specialists. We also expected that populations of resident species might benefit more than migrants; however, we found strong support for a safeguarding effect for both groups. Species with increasing growth rates in coastal Marin County protected areas in comparison to regionally stable or decreasing populations demonstrate the potential for protected areas to not only maintain populations despite declines outside their boundaries but also to help them recover from current and previous losses. Continuing long-term monitoring and associated full life cycle research will help identify if and when other drivers (e.g., climate change) may weaken these safeguarding effects, or when additional conservation and management is warranted. LAY SUMMARY Designating protected areas has long been assumed to be an effective conservation tool and benefit bird populations within their borders, with very few studies evaluating this assumption. We tested the assumption by determining population trends for landbird species in protected areas in central coastal California using point count surveys and comparing our results to regional trends. Nine out of 14 species benefited from being inside protected areas with their population trends being more positive than the regional trends. Our study provides support for the effectiveness of designating protected areas as a conservation tool. We call for expanded long-term monitoring as well as exploration of reasons why the safeguarding effect was not universal and what actions are needed.
An Energy-Efficient Routing Scheduling Based on Fuzzy Ranking Scheme for Internet of Things

Internet of Things (IoT) is a wireless network of various battery-powered sensing units. Due to the limited battery capacity, the nonaccessible/abandoned nodes demand more energy to be reached or reintegrated to keep the network connected. When a specific tree topology for routing, called destination-oriented directed acyclic graphs (DODAGs), is used, isolated nodes spend maximum energy on the assigned task during data transformation from the sensor field to the DODAG root. The nodes closer to the DODAG root need to rely on faraway nodes and resource-burden-constrained nodes to lead to the quick energy drain. It brings an idea of IoT network nodes in which an extra amount of energy provide to the longer time alive nodes. This article proposes an ARFOR-adaptive ranking fuzzy-based energy-efficient opportunistic routing protocol for sustainable IoT applications. The proposed protocol consists of a parent node (PN) that acts as a head node in a cluster to aggregate the packets to DODAG root; and a volunteer node (VN) acts as a forwarder to transfer the packets to PN with threshold energy limits to increase network lifetime during the transmission cycle. The proposed VN selection is based on fuzzy parameters, such as Canberra distance, residual energy, and threshold. The simulation outcomes depict that the ARFOR fairly justifies the network timeline requirement with maximum percentage area coverage. The percentage gain in terms of network lifetime is comparatively significant for a lower number of VN.
Place attachment and brand loyalty: the moderating role of customer experience in the restaurant setting

PurposeThe purpose of this study is to ascertain the effects of place attachment on brand loyalty. This study further ascertains whether the effects of emotion-based attachment on brand loyalty are stronger for customers who have a positive experience with a restaurant brand. Additionally, the authors investigate whether emotion-based attachment mediates the relationships between identity-based attachments, place dependence and brand loyalty in the restaurant setting.Design/methodology/approachThe authors administered the questionnaire to customers (diners) of restaurants in Ghana, and they were completed via a paper and pencil/pen approach. The authors tested their hypotheses using structural equation modeling.FindingsThe findings show that identity-based and emotion-based attachment enhances brand loyalty within a restaurant setting. The results also show that place dependence attachment promotes emotional bonding with restaurant brands. The study's findings also show that place dependence attachment does not have a direct and positive significant effect on brand loyalty except when an emotional response is produced.Originality/valuePlace attachment studies in a restaurant setting are rare. This study thus contributes to the place attachment literature in restaurants setting.
Indirect effects of the SARS CoV-2 pandemic on the prevalence of breastfeeding: Modeling its impact

Abstract: Introduction: Breastfeeding has a protective effect against acute respiratory and diarrheal infections. There are psychological and social effects due to physical isolation in the population in the mother-child group. Objective: To assess the impact on infant mortality due to a decrease in the prevalence of breastfeeding during 2020 due to the physical isolation against the SARS CoV-2 (COVID-19) pandemic in Colombia. Materials and methods: We used the population attributable risk approach taking into account the prevalence of breastfeeding and its potential decrease associated with the measures of physical isolation and the relative risk (RR) of the association between exclusive breastfeeding and the occurrence of acute infection consequences in the growth (weight for height) of children under the age of five through a mathematical modeling program. Results: We found an increase of 11.39% in the number of cases of growth arrest in the age group of 6 to 11 months with a 50% decrease in breastfeeding prevalence, as well as an increase in the number of diarrhea cases in children between 1 and 5 months of age from 5% (5.67%) on, and an increased number of deaths in children under 5 years (9.04%) with a 50% decrease in the prevalence of exclusive breastfeeding. Conclusions: A lower prevalence of breastfeeding has an impact on infant morbidity and mortality in the short and medium-term. As a public health policy, current maternal and childcare strategies must be kept in order to reduce risks in the pediatric population.
Fitting Iron and Magnesium into the Hydrothermal Chlorite Geothermometer

Two versions of a useful chlorite geothermometer calibrated in the Los Azufres and Salton Sea geothermal fields have been published. The first applies the linear correlation between measured tetrahedral site aluminum (AlIVM) in the chlorites and the measured in situ temperatures. In the second, a correction for Fe/(Fe+Mg) is made before applying the AlIV-T°C correlation. However, while Fe and Mg do affect AlIVM independently of temperature and should be incorporated, the published Fe/(Fe+Mg) normalization was not isothermal. For an isothermal correction, the field data are contoured for temperature in AlIVM – Fe/(Fe+Mg) space, with the resulting isotherms being linear with consistent negative slopes. Except for two Salton Sea temperatures, data from both sets are compatible, supporting the isothermal contours. For structural formulae based on 14 oxygens, normalizing along the isotherms to Fe/(Fe+Mg) = 0 yields: AlIVC = AlIVM + 0.10 [Fe/(Fe+Mg)], and T°C = 318.5 AlIVC - 68.7. Temperatures from this isothermal Fe-Mg modified chlorite geothermometer are compatible with independent temperature estimates in ore deposits and with one geothermal field. Within its limits, it provides an alternative to existing theoretical and field-based versions. Detailed petrography for composition and paragenesis is necessary before the chlorite geothermometer can be applied with confidence.
Supply chain resilience for managing the ripple effect in Industry 4.0 for green product diffusion

PurposeThe purpose of this paper is to examine (1) how the recovery speed using promotional investment and (2) distributed production using additive manufacturing (AM) improve the resilience of the supply chain to manage any disruptions in the diffusion of green products.Design/methodology/approachThe environmental performance, service level performance and economic performance are the measures of interest. These measures are studied through the integration of inventory and production planning (I&PP) of the reverse logistics system and consumer behavior using Bass (1969) model of diffusion of innovation under the paradigm of Industry 4.0 architecture. The Taguchi experimental design framework was used for the simulation analysis.FindingsThe adoption patterns based on the Bass model in conjunction with recovery speed and production on AM during the disruption period suggest that there exist tradeoff decisions between various combinations of information-sharing and I&PP policies.Practical implicationsThe extensive sensitivity analyses provide real-time support for managerial decisions. Besides the potentials of Industry 4.0 capabilities, the present research suggests paying close attention to the recovery speed in conjunction with the inventory management system.Social implicationsThe integration of consumers' behavior (Bass model) to digital technologies is an additional contribution of the present research toward sustainability issues from the social perspective.Originality/valuePrevious research studies have discussed resilience to manage the ripple effect. However, none of them have addressed the changing scope of resilience to manage the ripple effect caused by the disruption in the diffusion of green products in a reverse logistics setup.
Heart rate monitoring of the endurance runner during high intensity interval training: Influence of device used on training functions

Photoplethysmography (PPG) heart rate devices are greatly affected by the motion artifacts of running. As a result, their application in training load systems and effort control strategies based on heart rate (HR) could be debatable. In 2019, Polar applied some new features on their PPG devices to improve their accuracy. Thus, the purpose of this study was to determine the level of agreement between the new PPG system Polar Precision Prime™ and the chest strap Polar H10 (reference system) in the HR monitoring during an interval running protocol. A group of 37 long distance runners completed an interval running protocol of 10 min composed of five 1-min trials with an active break of 1-min between each trial. An excellent reliability (ICC > 0.9) was obtained for the entire interval running protocol with the lowest values in the first 2 min (ICC = 0.960–0.949), slight differences between intensities (ICC = 0.992–0.986), and a reduction of the observed tendency (ICC > 0.9) when the Edwards quantification model was applied (ICC = 0.877–0.967). The Bland-Altman plots with the final HR values of each trial establish a systematic bias (<1 bpm) for all intervals with a random error (<4 bpm), except in the first trial which had a higher random error (6.85 bpm). In conclusion, the innovations applied in the new PPG system provide the accuracy required for use in diverse functions, including endurance running.
CRITICAL FACTORS AFFECTING CLOUD COMPUTING ADOPTION IN TURKISH COMPANIES WITH DIFFUSION OF INNOVATION THEORY

Cloud computing provides an effective computing technology in the way IT services such as data storage, network, and application are supplied externally by companies without software and hardware, long implementations, and delayed maintenance to decrease operational expenditures. However, there is an inadequate amount of scholars studying the effects of cloud computing adoption among Turkish companies. In order to fill the gap, this study aims to exhibit the factors affecting cloud computing adoption in Turkish companies. Diffusion of innovation (DOI) theory was developed to understand the critical factors affecting cloud computing adoption, deriving three factors: perceived advantage, cost-saving, and compatibility. Confirmatory factor analysis was applied to assess data. The findings showed that compatibility directly affected cost-savings. Cost-savings directly affected perceived advantage, and perceived advantage directly affected cloud computing adoption. The variance of perceived advantage also explained 15.8% of the proposed model. By adopting DOI theory, this study will intend to contribute to businesses for increasing the awareness of companies’ IT decision-makers about the perception of cloud computing adoption in the cloud computing decision making period in Turkey.
Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-Modal Retrieval

Hashing methods have captured much attention for cross-modal retrieval in recent years. Most existing approaches mainly focus on preserving the semantic similarity across heterogeneous modalities in a shared Hamming subspace, while the label information and potential correlations of multi-label semantics are not fully excavated. In this article, a novel Adaptive Label correlation based asymmEtric Cross-modal Hashing method, i.e., ALECH, is proposed for cross-modal retrieval. ALECH decomposes hash learning into two steps, hash codes learning and hash functions learning. For hash codes learning, the high-order semantic label correlations are adaptively exploited to guide the latent feature learning, while simultaneously generating the binary codes in a discrete manner. The asymmetric strategy is utilized to connect the latent feature space and Hamming space, and preserve the pairwise semantic similarity. Different from other two-step methods that directly adopt simple least-squares regression to learn hash functions based on binary codes, ALECH leverages both hash codes and semantic labels for hash functions learning which further preserves the similarity. Experiments on several benchmark datasets demonstrate that the proposed ALECH method outperforms the state-of-the-art cross-hashing methods.