Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors that impact the word-of-mouth intention (WOM) in the full-service restaurant industry: A stimuli-organism-response approach

The objective of this research is to analyze the variables that relates to Word-Of-Mouth intention (WOM) in the restaurant industry in Monterrey, Mexico’s metropolitan area. The chosen method was partial least square structural equation modeling (PLS-SEM) studied by a Stimuli-Organism-Response (SOR) approach. The results show evidence that the variables of quality of the food, perceived value and personal interaction quality are factors willing to predict word-of-mouth intention in full-service type restaurants ( R 2 = 72.4%). The originality of the article resides in the contribution of consumer’s behavior theory in the hospitality area (Full-service type restaurants) in a LATAM geography. Related to the findings, physical environment quality was not significant in the model, which we aim to explain in the discussion potential reasons. Regarding limitations, it is acknowledged that the sampling method used in this investigation is a non-probabilistic convenience approach
Current Options and Future Perspectives on Bone Graft and Biomaterials Substitutes for Bone Repair, from Clinical Needs to Advanced Biomaterials Research

The ideal biomaterials substitute for bone repair should possess the following characteristics: provide osteogenic, osteoinductive and osteoconductive properties; stimulate the neo-angiogenesis process; absence of antigenic, teratogenic or carcinogenic reactions; avoid the systemic toxicity complications; assure satisfactory support and stability from mechanical properties point of view; hydrophilic nature of the surface properties and good interface with human bone; good handling in clinical condition and ability to be easy sterilized; and able to be supplied in sufficient quantities with reduced costs. Despite years of effort, the perfect bone reconstruction material has not yet been developed; further effort is required to make this objective feasible. The aim of this article is to provide a contemporary and comprehensive overview of the grafting materials that can be applied for the treatment of bone defects by the clinicians from orthopedics surgery, neurosurgery and dentistry, discussing their properties, advantages and disadvantages, and illuminating present and future perspectives in the field of bone graft and biomaterials substitutes for bone repair, from clinical needs to advanced biomaterials research.
Axial Flux Resolver Versus Radial Flux One From Fault Tolerability Point of View

Reliability and fault tolerability of the resolvers, as the first-choice rotor angle sensor in permanent magnet synchronous motors (PMSMs), are big concerns. Among the resolver categories, the assessment of axial and radial flux resolvers over each other is an interesting subject, which will serve as a guideline for engineering society. On the other hand, resolver errors will significantly degrade the drive system and primary motor operating conditions, injecting more stress into the motor. Therefore, it is clear that the resolver’s faulty conditions can lead to thermal changes in PMSM, which shows the connection between the frequency of resolver faults and the heat level of the motor frame. Based on this theory, in the following, two 5-X axial and radial flux resolvers are the case studies. Presenting how the failure rate calculation under faulty conditions through thermal modeling is the main aim of this reliability analysis. Finally, the accuracy of the employed 3-D time-stepping finite-element analysis (3D-TSFEA) is verified experimentally in both configurations (axial and radial) in healthy and faulty operating conditions.
Prevention and Treatment of Retinal Vein Occlusion: The Role of Diet—A Review

Retinal vein occlusion (RVO) is the second most common retinal disorder. In comparison to diabetic retinopathy or age-related macular degeneration, RVO is usually an unexpected event that carries a greater psychological impact. There is strong evidence to suggest that cardiovascular diseases are the most common risk factors in this pathology and it has long been known that a higher consumption of fish, nuts, fruits, and vegetables has a protective effect against these types of conditions. In the last several years, interest in plant-based diets has grown in both the general population and in the scientific community, to the point to which it has become one of the main dietary patterns adopted in Western countries. The aim of this review is to investigate the potential impact of macro- and micronutrients on retinal vein occlusion.
Superstrong micro-grained polycrystalline diamond compact through work hardening under high pressure

We report an approach to strengthen micro-grained polycrystalline diamond (MPD) compact through work hardening under high pressure and high temperature, in which both hardness and fracture toughness are simultaneously boosted. Micro-sized diamond powders are treated without any additives under a high pressure of 14 GPa and temperatures ranging from 1000 °C to 2000 °C. It was found that the high pressure and high temperature environments could constrain the brittle feature and cause a severe plastic deformation of starting diamond grains to form a mutual bonded diamond network. The relative density is increased with temperature to nearly fully dense at 1600 °C. The Vickers hardness of the well-prepared MPD bulks at 14 GPa and 1900 °C reaches the top limit of the single crystal diamond of 120 GPa, and the near-metallic fracture toughness of the sample is as high as 18.7 MPa m1/2.
Synthesis of Si/C Composites by Silicon Waste Recycling and Carbon Coating for High-Capacity Lithium-Ion Storage

It is of great significance to recycle the silicon (Si) kerf slurry waste from the photovoltaic (PV) industry. Si holds great promise as the anode material for Li-ion batteries (LIBs) due to its high theoretical capacity. However, the large volume expansion of Si during the electrochemical processes always leads to electrode collapse and a rapid decline in electrochemical performance. Herein, an effective carbon coating strategy is utilized to construct a precise Si@CPPy composite using cutting-waste silicon and polypyrrole (PPy). By optimizing the mass ratio of Si and carbon, the Si@CPPy composite can exhibit a high specific capacity and superior rate capability (1436 mAh g−1 at 0.1 A g−1 and 607 mAh g−1 at 1.0 A g−1). Moreover, the Si@CPPy composite also shows better cycling stability than the pristine prescreen silicon (PS-Si), as the carbon coating can effectively alleviate the volume expansion of Si during the lithiation/delithiation process. This work showcases a high-value utilization of PV silicon scraps, which helps to reduce resource waste and develop green energy storage.
An Ultra-Wideband and Compact Active Quasi-Circulator With Phase Alternated Differential Amplifier

This paper presents a new design for an active quasi-circulator that utilizes a phase alternated differential amplifier to achieve ultra-wideband and compact size in a 28-nm CMOS process. The proposed active quasi-circulator is based on a differential two-stage distributed amplifier, where the differential outputs of the phase alternated amplifier in second stage are cross-connected to the differential outputs of the amplifier in first stage. The use of the phase alternated differential amplifier allows for wideband isolation regardless of frequency. Furthermore, interstage inductor, which is located between two transistors of amplifier makes the circulator more wideband by maintaining frequency response of two transmission lines identically. The measured transmitter (TX) to receiver (RX) isolation is >21 dB, -3 dB bandwidth of TX to antenna (ANT) is from 20 to 38.5 GHz with 4.5 dB of peak gain at 29.8 GHz, minimum insertion loss of ANT to RX is 4.3 dB. The measured TX to ANT output power 1 dB compression point is 7.3 dBm at 28 GHz with DC power consumption of 107 mW. The circulator occupies only 0.07 mm2, thanks to coupled inductors which contribute to compact size.
Patient-Specific Preictal Pattern-Aware Epileptic Seizure Prediction with Federated Learning

Electroencephalography (EEG) signals are the primary source for discriminating the preictal from the interictal stage, enabling early warnings before the seizure onset. Epileptic siezure prediction systems face significant challenges due to data scarcity, diversity, and privacy. This paper proposes a three-tier architecture for epileptic seizure prediction associated with the Federated Learning (FL) model, which is able to achieve enhanced capability by utilizing a significant number of seizure patterns from globally distributed patients while maintaining data privacy. The determination of the preictal state is influenced by global and local model-assisted decision making by modeling the two-level edge layer. The Spiking Encoder (SE), integrated with the Graph Convolutional Neural Network (Spiking-GCNN), works as the local model trained using a bi-timescale approach. Each local model utilizes the aggregated seizure knowledge obtained from the different medical centers through FL and determines the preictal probability in the coarse-grained personalization. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is utilized in fine-grained personalization to recognize epileptic seizure patients by examining the outcomes of the FL model, heart rate variability features, and patient-specific clinical features. Thus, the proposed approach achieved 96.33% sensitivity and 96.14% specificity when tested on the CHB-MIT EEG dataset when modeling was performed using the bi-timescale approach and Spiking-GCNN-based epileptic pattern learning. Moreover, the adoption of federated learning greatly assists the proposed system, yielding a 96.28% higher accuracy as a result of addressing data scarcity.
Estimation Model of Rice Aboveground Dry Biomass Based on the Machine Learning and Hyperspectral Characteristic Parameters of the Canopy

Accurately estimating aboveground dry biomass (ADB) is crucial. The ADB of rice has primarily been estimated using vegetation indices with several discrete bands; nevertheless, these indices cannot take advantage of continuous bands available with hyperspectral remote sensing. This study analyzed the quantitative relationship between canopy hyperspectral characteristic parameters (HCPs) and the ADB of rice. Twenty HCPs were used, including red edge area (SDr), blue edge area (SDb), and others. The variable-screening methods involved stepwise regression (SR), a regression coefficient (RC), variable importance in projection (vip), and random forest (RF). Stepwise and partial least squares regression methods were employed with traditional linear regression as well as machine learning methods including random forest (RF), a support vector machine (SVM), a BP artificial neural network (BPNN), and an extreme learning machine. Whole- and screening-variable models were constructed to estimate rice ADB at jointing, booting, heading, and maturing stages and across growth stages. Screening-variable models include SVM models based on SR (SVM-sr), RF models based on vip (RF-vip), and others. The results show that the HCPs had a significant correlation with ADB containing elements in the red edge region, namely SDr, SDr/SDb, and (SDr − SDb)/(SDr + SDb) at each growth stage. In addition, the screening performance of vip and SR was better than that of RC and RF, and fewer variables were screened. Moreover, the HCPs of the red edge region were screened using different screening methods at each growth stage. Among them, SDr/SDb and (SDr − SDb)/(SDr + SDb) appeared frequently, indicating they are important. Furthermore, at each growth stage, ADB could be well-estimated using diverse models with the RF modeling method based on vip screening variables found to be the best modeling method for ADB estimation; the independent variables of the RF-vip model involved the (SDr − SDb)/(SDr + SDb) at each growth stage.
IMPACT OF RISK-RETURN ANALYSIS ON STOCK FUTURES AND OPTIONS TRADING IN INDIAN EQUITY DERIVATIVES MARKET WITH SPECIAL REFERENCE TO NSE.

Ramasamy.V 1 and Dr. G. Prabakaran 2 . 1. Ph.D Research Scholar, Management, Bharathiar University, Coimbatore, Tamilnadu. 2. Assistant Professor, Government Arts College Dharmapuri, Tamilnadu. Manuscript Info Abstract . Manuscript History
Design And Development of Real Time Vehicle Security System

The major purpose of this project is to build a vehicle security system and create a safe innovation that can recognize human fatigue and deliver a helpful warning. By substituting a specific person’s face for the ignition key, the facial recognition-based vehicle ignition system usually automates the ignition. This project’s second mode is about a system for detecting driver inattentiveness. In this instance, a camera is continuously used to check the driver. When the glimmering rate is high, the structure sounds an alarm to warn the driver. In third mode if multiple faces are detected near the driver seat, then the sound alarm warns the driver because it can cause an accident.
Simulation study on improving the spatial resolution of absolute phase map recovered by fringe projection profilometry with the images of different resolutions

In fringe projection profilometry, three-dimensional reconstruction result with higher spatial resolution could provide more detailed description of the measured object. To increase the spatial resolution of three-dimensional reconstruction result, this paper proposes a method to improve the resolution of the absolute phase map recovered in fringe projection profilometry with the digital images of different resolutions. In this method, the same fringe patterns are sampled with the images of different resolutions, the absolute phase maps of different resolutions are obtained respectively. Since the sampling points of the digital images under different resolutions are not coincident, additional ground truth depth information of the object surface is obtained. To emerge an absolute phase map with higher resolution, an algorithm is developed to fuse the absolute maps in different spatial resolutions together. The proposed method can be used to obtain a three-dimensional reconstruction result with higher spatial resolution for various applications. The effectiveness of our proposed method is validated by simulation results.
Succession Planning and Survival of Selected Family Businesses in Benue State, Nigeria

The study investigated the effect of succession planning on the survival of selected family businesses in Benue State, Nigeria. The study examined the extent to which successor selection has effect on survival of family businesses and the extent to which successor training affects the survival of family businesses. The study adopted a survey research design and primary data were collected using self-administered questionnaire. The population of the study consists of 82 selected family-owned businesses in Benue State. The study used a census sampling approach and the entire population was considered as the sample size. Data collected from the participants were analysed using descriptive statistics (mean and standard deviation) and inferential statistics (correlation and multiple regression) with the aid of the Statistical Package for Social Sciences (SPSS 23). The study found that successor selection has a positive significant effect on the survival of family businesses in Benue State (β= 0.544; p<0.05). The study also revealed that successor training has a positive significant effect on the survival of family businesses in Benue State (β= 0.208; p<0.05). The study recommended amongst others that family business owners in Benue State should have a business policy that will guide in the successor selection process to enable succession planning to be successful in their businesses.
An Extended Investigation of Unexpected Helicoverpa zea (Boddie) Survival and Ear Injury on a Transgenic Maize Hybrid Expressing Cry1A/Cry2A/Vip3A Toxins

The wide occurrence of resistance to Cry1A and Cry2A insecticidal toxins from Bacillus thuringiensis (Bt) in the corn earworm/bollworm Helicoverpa zea (Boddie) leaves the Vip3A toxin produced during the vegetative stage of Bt as the only fully active toxin expressed in transgenic crops to control H. zea in the U.S.A. During 2021, the first unexpected survival of H. zea and injury (UXI) on a maize hybrid expressing Cry1A.105, Cry2Ab2, and Vip3Aa in Louisiana, U.S.A. were observed in two sentinel plots used for resistance monitoring. A follow-up intensive investigation was conducted with two H. zea populations established from larvae collected from the two UXI plots. The main goal of this study was to reveal if the unexpected damage was due to resistance development in the insect to the Bt toxins expressed in the maize hybrid. Diet-overlay bioassays showed that the two populations were highly resistant to Cry1A.105, moderately resistant to Cry2Ab2, but still highly susceptible to Vip3Aa when compared to a reference susceptible strain. In 10 d assays with detached ears, the larvae of the two UXI populations exhibited survival on ears expressing only Cry toxins but presented near 100% mortality on maize hybrids containing both cry and vip3A transgenes. Multiple field trials over three years demonstrated that natural H. zea populations in Louisiana were highly resistant to maize expressing only Cry toxins but remained susceptible to all tested hybrids containing cry and vip3A genes. Altogether, the results of this study suggest that the observed UXIs in Louisiana were associated with a resistance to Cry toxins but were not due to a resistance to Vip3A. The possible causes of the UXIs are discussed. The results generated and procedures adopted in this study help in determining thresholds for defining UXIs, assessing resistance risks, and documenting field resistance.
A review on larvicidal and repellent effects of Brassica nigra towards malaria mosquito

The efficacy of synthetic insecticides to control malaria vectors is compromised by increased mosquito resistance to insecticides.Furthermore, the use of inorganic insecticides raises serious environmental toxicity concerns. It is hoped that this review wouldincorporate plant-based control tools in modern malaria vector control at the community level. Therefore the use of syntheticinsecticides is the challenge faced for malaria vector control because of the resistance of mosquitoes and their toxicity to theenvironment. Medicinal plants used like Brassica nigra in traditional medicine are promising and largely unexplored sources for thedevelopment of potential new compounds particularly in plant-rich countries like Ethopia.
A Distributed Cascode Power Amplifier with an Integrated Analog SIC Filter for Full-Duplex Wireless Operation in 65 nm CMOS

In this work, we propose a fully integrated transmitter front-end based on a balanced distributed cascode power amplifier and a passive second-order reconfigurable reflective self-interference cancellation (SIC) filter for full-duplex wireless applications. The balanced topology provides inherent passive transmit-receive (TX-RX) isolation complemented by the passive SIC filter, which accounts for the signal, noise, and nonlinearity components of the direct TX-RX leakages and the reflections from a commercial Wi-Fi antenna. A front-end chip prototype fabricated in TSMC's 65 nm CMOS process operating between 5–6 GHz and occupying the area of 1.2 mm2achieves 19.5 dBm Psat with 31% peak PAE, 17 dBm OP1dB, and 8–10 dB RX noise figure, along with 40 dB of TX-RX isolation and −30 dB TX EVM at 10 dB power backoff using a 20 MHz Wi-Fi OFDM signal without DPD.
Machine learning in predicting anti-money laundering compliance with protection motivation theory among professional accountants

Money laundering represents a significant global threat, necessitating the vigilance of professional accountants in detecting and reporting suspicious customer activities within their jurisdiction to the relevant authorities. Despite the legal obligation to comply with anti-money laundering regulations, professional accountants' adherence to these measures remains insufficient. Previous research on machine learning techniques for combating money laundering has predominantly concentrated on predicting suspicious transactions, rather than evaluating compliance behavior. This study aims to develop a machine learning prediction model to assess the inclination of professional accountants towards adhering to anti-money laundering regulations, serving as an early signal system to gauge their willingness to abide by the law in their professional responsibilities. The research elaborates on the design and implementation of machine learning models based on three algorithms: Decision Tree, Gradient Boosted Tree, and Support Vector Machine. The paper offers two types of comparisons from distinct perspectives: firstly, the performance of each algorithm in predicting real cases of anti-money laundering compliance, and secondly, the contribution of attributes measured by weights of correlation in different algorithms. Alongside demographic factors, the study evaluates the effectiveness of each algorithm in anti-money laundering compliance by utilizing five attributes derived from the Protection Motivation Theory (PMT). The findings demonstrate the significance of all attributes, including demography and PMT, in all machine learning models, with both Gradient Boosted Tree and Support Vector Machine achieving a proportion of variance of 0.8 or higher. This indicates the potential of these algorithms in effectively measuring and predicting professional accountants' intentions to comply with anti-money laundering regulations.
Structure of Bohr type nuclear collective spaces - a few symmetry related problems

Nuclear collective models can be constructed in various ways. One of the most popular and effective method is the prescription given by Bohr and Mottelson. This method leads to constructions of nuclear collective spaces corresponding to the appropriate classical models. In this paper the general structure of such spaces generated by sets of spherical tensors representing different kinds of nuclear deformations (motions) is revisited. The special features of such spaces constructed in the intrinsic frame are shown.