Miracle-dz/UniFAR-FTUs huggingface dataset:
European Spectrum Management: Successes, Failures & Lessons

This paper reviews the overall aims of policy of European Union spectrum policy and management, within the framework of the completion of European single market. The development of markets for GSM services is analysed, including the absorption of PCS on the 1800 MHz band into GSM. The history of digital radio-paging is desribed, including the failure of HERMES. The development of TETRA, the digital public mobile radio services, is desribed and explained. The preparation for third generation mobile, UMTS, is set out, including a brief analysis of the auctions and beauty contests. The status of mobile multimedia is described.
Experimental investigation on heat transfer enhancement from a channel with square blocks and identification of most influencing parameters using Taguchi approach

Heat transfer is very essential process and, therefore, it is necessary to develop the optimization model. In this paper, an attempt has been made to develop an optimization model for complex heat transfer process using the Taguchi method. This paper presents the findings of an experimental investigation on the effects of input parameters such as Reynolds number, heat input, and Lx/Ly ratio in a channel mounted with square blocks in staggered manner. The Nusselt number is considered as the output quality characteristics. Taguchi-based L27 orthogonal array has been used to accomplish the objective of the experimental study. An orthogonal array, signal-to-noise (S/N) ratio and analysis of variance (ANOVA) are employed to analyze the effect of input parameters on heat transfer enhancement. Based on the S/N ratio value the optimal level of the input is identified and significant contribution of these parameters is determined by ANOVA. Confirmation test is also conducted to validate the optimal results. It is clearly shown that the output characteristic is improved by this approach. Taguchi method revealed that optimal combination of the heat transfer parameters for the enhancement of heat transfer rate is set as: Lx/Ly at 2.5, heat input to be 250 W, and Reynolds number to be 300.
Effect of Thymol and Nanostructured Lipid Carriers (NLCs) Incorporated with Thymol as Antimicrobial Agents in Sausage

The aim of this study was to evaluate the antimicrobial activity of thymol and thymol-loaded nanostructured lipid carriers (NLCs) on inoculated sausages at 4 °C over a period of 28 days. To this end, sausage samples containing 600 mg/kg thymol, 600 mg/kg thymol-loaded NLC, 600 mg/kg thymol + 60 mg/kg nitrite, and 600 mg/kg thymol-loaded NLC + 60 mg/kg nitrite were prepared, and each treatment was divided into three portions to be inoculated with S. aureus, E. coli, and C. perfringens (105.5 CFU/g). The mean diameter and zeta potential of thymol-NLCs were 140 nm and −0.52 mV, respectively. Thymol-NLCs showed (two-fold) higher values for MIC and MBC than that of thymol, but similar halo diameters were detected for both against all bacteria examined in the agar well diffusion test. The control and nitrite-containing sausages showed an increasing trend in bacterial growth and the bacterial population was the largest in these samples. The bacterial growth within samples treated with thymol or thymol-NLCs was around 3.90–4.67 log CFU/g lower in comparison with the control. In this regard, no significant differences were detected between the thymol and thymol-NLC samples against each bacterium. A first-order reaction was detected for bacterial growth in all sausages. Overall, the higher antimicrobial property of thymol and its NLC compared with nitrite makes thymol a good alternative to nitrite with regards to its antimicrobial capability.
Stock Structure Analysis of the Endangered Queen Loach, Botia dario (Hamilton 1822) from Five Rivers of Northern Bangladesh by Using Morphometrics: Implications for Conservation

Identifying stock is key to sustainable fisheries management and conservation. Using traditional morphometrics (TMR) and image-based truss network analysis (ITNA), we evaluated the stock structure of the endangered queen loach, Botia dario. The study was carried out in the following five stocks in Bangladesh’s northern rivers: the Atrai, Dhorala, Danu, Jamuna, and Padma. The inventory regarding stock structure was investigated using a total of nine traditional morphometrics, 11 ratios, and 23 truss measurements for each individual. To generate 23 ITNA, 12 landmarks were used. To assess variations among the stocks, a principal component analysis (PCA), factor analysis (FA), canonical variate analysis (CVA), and cluster analysis (CA) were performed. Six principal components explained 91.50% of the variation in TMR, while seven principal components explained 73.425% of the variation in ITNA. CVA, using traditional methods and ratios were correctly classified as 65.0%, 42.0%, 64.2%, 89.3%, and 77.5% for Danu, Padma, Jamuna, Dhorala, and Atrai River stocks, respectively, based on original grouped classes. CVA using ITNA was correctly classified as 90.0%, 80.0%, 77.4%, 94.6%, and 98.6% for Danu, Padma, Jamuna, Dhorala, and Atrai River stocks, respectively, based on original grouped classes. CVA analysis based on TMR and ITNA showed that cannonical variates (CV1 to CV3) are related to the whole-body shape. Both TMR and ITNA formed two clusters. In the first cluster, the Jamuna and Atrai River stocks combinedly formed a separate stock based on (TMR). In ITNA, the Dhorala and Atrai River formed as separate stocks from the other four stocks. According to this study, combining TMR and ITNA analysis aids in the differentiation of various B. dario stocks. The stock separation of this species was supposed to be geographic disconnection, waterway nature, and temperature variations. The B. dario stocks are heavily exploited and the species is an ideal nominee for species variation to boost the aquaculture yield. Within-stock distinctions were revealed in this study, necessitating the identification of gene pools and molecular studies to achieve a deeper understanding of the stocks. Through a more scientific approach, this stock structure study may aid in the development of conservation programs for this endangered species.
Tumble Stability Criterion of a Walking Machine

This paper discusses a criterion judging whether a walking plan will be completely done or not, considering dynamics. A conventional“Zero Moment Point”is a useful criterion, but it is available for only a walk on a flat even terrain, and not available for that on a general rough terrain. So, we propose a new criterion named“Tumble Stability, ”in which considering a direction that a machine would be tumbling, if all the contact points except two were disappeared. The tumbling motion will be protected in practice, if some imaginarily disappeared contact points can produce a supporting force to avoid tumbling. In a case that no contact points can produce a force against tumbling, the machine will tumble indeed. By using this criterion, we can judge a plan of walking on any terrain, including walls and ceilings. We also propose a value indicating a stability named“Tumble Stability Margin, ”which equals to the conventional“Stability margin”in case of walking on a flat even terrain, and is useful for any other general terrain.
Reliability of OHM 3000 Plantar Pressure System for Measurement of Plantar Pressures in Healthy Indian Population

Purpose: The aim of this study is to determine intra and inter-session repeatability and reliability of OHM 3000 for reporting static and dynamic pressures in healthy Indian population. Methods: Using OHM 3000, twenty-eight healthy adults who did not present any gait abnormalities or musculoskeletal conditions were assessed one week apart for static and dynamic pressure. Bipedal stance test was used for assessing static variables- maximum pressure, average pressure, contact area, and weight distribution; whereas dynamic test was used for assessing dynamic variables- maximum pressure, average pressure, and contact area. Each participant performed three trials under supervision of each investigator. Results: Reliability was devised using ICC values and coefficient of variance for static and dynamic variables. ICC values for static and dynamic variables were reported to range between 0.88 to 0.94 and 0.61 to 0.98 respectively. Covariance values were reported to be lower than 13% in static and dynamic pressures recorded by both investigators. Conclusion: The study reports that OHM 3000 is a reliable device for assessing static and dynamic pressure in healthy adults demonstrating moderate to good reliability. KEYWORDS: Gait, Foot, Plantar Pressure.
l1-Regularization in Portfolio Selection with Machine Learning

In this work, we investigate the application of Deep Learning in Portfolio selection in a Markowitz mean-variance framework. We refer to a l1 regularized multi-period model; the choice of the l1 norm aims at producing sparse solutions. A crucial issue is the choice of the regularization parameter, which must realize a trade-off between fidelity to data and regularization. We propose an algorithm based on neural networks for the automatic selection of the regularization parameter. Once the neural network training is completed, an estimate of the regularization parameter can be computed via forward propagation. Numerical experiments and comparisons performed on real data validate the approach.
Efficiency Enhancement of Tilted Bifacial Photovoltaic Modules with Horizontal Single-Axis Tracker—The Bifacial Companion Method

Bifacial photovoltaic modules combined with horizontal single-axis tracker are widely used to achieve the lowest levelized cost of energy (LCOE). In this study, to further increase the power production of photovoltaic systems, the bifacial companion method is proposed for light supplementation and the efficiency enhancement of tilted bifacial modules with a horizontal single-axis tracker. Specifically, a solar reflector is added to the rear end of the tilted bifacial photovoltaic module to guide the sunlight and promote power generation on the rear end. The technical feasibility of the proposed method is verified through optimal calculation and prototype experimental test. The theoretical calculation results suggest that the bifacial companion system is particularly suitable for mid-to-high latitude areas. The higher the latitude, the higher the gain ratio of generated power in the system; there is an optimal module tilt angle that maximizes the efficiency at different latitudes. The closer the module tilt angle to the optimal tilt angle, the higher the power generation efficiency of the system. Meanwhile, compared to the fixed solar reflector, the use of tracking solar reflector is more conducive to improving the power generation efficiency of the system. For the 37.5° latitude area, the annual average power generation gain ratio of the bifacial companion system with tracking solar reflector and fixed solar reflector can reach up to 30% and 17%, respectively. Additionally, the test results for the three sets of bifacial companion prototypes (module tilt angles of 10°, 20°, and 30°) with a fixed solar reflector show that the maximum gain ratio of daily power generation in August 2021 are 8.2%, 13%, and 18.1%, and that in September 2021 are 7%, 8.7% and 13.7%, respectively, which are consistent with the theoretical results.
Adaptive Flow Planning of Modular Spherical Robot Considering Static Gravity Stability

Modular robots have a unique obstacle-crossing method, flow. Flow is realized by constantly changing the connection relationship between modules, namely reconfiguration. Existing flow planning methods do not consider the static stability in their adaptation to obstacles. This letter proposes a flow planning method with scalability, adaptability, and static gravity stability. The criterion of static gravity stability is always satisfied through the following two innovations. First, each target configuration in the flow process is designed to grasp obstacles like vines. Second, in motion planning, each module maintains contact with the obstacle or a fixed module to maximize the supporting polygon of the configuration. What's more, the simplified path output by the connection planning and the precise calculation based on the mesh model realize the scalability and adaptability of the flow planning method. In simulation, we evaluate the adaptability to various obstacles and the margin of static gravity stability.
Polyploidization in Orchids: From Cellular Changes to Breeding Applications

Polyploidy occurs naturally in plants through cell division errors or can artificially be induced by antimitotic agents and has ecological effects on species adaptation, evolution, and development. In agriculture, polyploidy provides economically improved cultivars. Furthermore, the artificial induction of polyploids increases the frequency; thus, it accelerates obtaining polyploid plants used in breeding programs. This is the reason for its use in developing many crops of economic interest, as is the case of orchids in the flower market. Polyploidy in ornamental plants is mainly associated with flowers of larger size, fragrance, and more intense coloring when compared to naturally diploid plants. Currently, orchids represent the largest flower market worldwide; thus, breeding programs aim to obtain flowers with the larger size, durability, intense colors, and resistance to pathogens. Furthermore, orchid hybridization with polyploidy induction has been used to produce improved hybrid cultivars. Thus, the objective of this review was to compile information regarding the natural occurrence, importance, and methods of induction of polyploidy in orchids. The study also summarizes the significance of polyploids and techniques associated with artificially inducing polyploidy in different orchids of commercial relevance.
The Latticed-Based Path Privacy Protection Aggregation Scheme for Internet of Vehicles

With the occurrence of information leakage events of online ride-hailing, the information security of Internet of Vehicles has been highly valued by the society. Once the information of the Internet of Vehicles is exposed by the online ride-hailing platform or stolen by hackers, it will pose a fatal threat to the personal and property safety of users, and even cause a major information security accident to the whole society. Based on a post-quantum cryptography system, this paper proposes a practical privacy protection scheme for ride-hailing route information, which can present the complete statistical aggregation operation of the route and the frequency from the starting point to the destination without the visibility of the ride-hailing platform, and ensure the data privacy security of a single vehicle. Compared with representative multi-vehicle aggregation solutions, we not only guarantee message privacy, confidentiality, integrity, forward and backward security, anti-man in attack and anti-redial attack, but also achieve multi-dimensional aggregation, CCA security and anti-quantum attack. Through the analysis of the experiment, the cost of our scheme is reasonable. Therefore, the scheme is more practical in this scenario.
Pediatric Non-Refractive Vision Screening with EyeSwift, PDI Check and Blinq: Non-Refractive Vision Screening with Two Binocular Video Games and Birefringent Scanning

Background The purpose of this paper is to validate three recent non-refractive devices that target sensory and/or strabismus risk factors for amblyopia. EyeSwift® with eye tracking and PDI Check on autostereoscopic Nintendo 3DS are video games that estimate acuity, binocularity and color. The Rebion blinq assesses foveation by birefringence. Methods Students were consented to be screened by each device as if by a school nurse before confirmatory examination with optimized, refined refraction. Results were compared with correlation and Bland Altman plots while screening ability was compared with 2021 AAPOS Guidelines and the strabismus-amblyopia rubric proposed by David Hunter. Results A total of 77 ethnically diverse students, aged 11±4 (4–19) years had a 77% prevalence of 2021 risk factors. Near visual acuity, inter-eye difference and stereopsis correlated significantly (p<0.01) for the EyeSwift® (r2 0.14, 0.06 and 0.45) and PDI Check (r2 0.23, 0.22 and 0.32). The sensitivity/specificity to target 2021-AAPOS: Hunter-rubric for EyeSwift® was 82%/56%: 74%/62%, for PDI Check was 75/64%: 69%/69% and for blinq 75/48%: 82%/39%. Sensitivity/specificity for the seven color-deficient students was 86%/84% for EyeSwift® and 100%/81% for PDI Check. Screening time was 96±19 s for PDI Check and 375±102 s for EyeSwift but less than 25 s for blinq. Conclusion Reliable near visual acuity, stereo and color testing were obtained from the two binocular and touch screen devices often with minimal coaching of the student. The blinq rapidly gives an estimate of whether both eyes are steadily fixing, and the ProVersion predicted 100% which eye is deviated or amblyopic. Non-refractive validation metrics were beneficial.
Consumers’ Purchasing Intent Regarding Conventional, Plant-Based, and Cultured Meats

In today’s market, there are a growing number of meat options, from conventional to plant-based to cultured meat. As a result, agricultural and food companies need to understand what influences consumer purchases in order to communicate about these options and understand future changes in the marketplace. This study surveyed a \ sample of Ohio consumers (n = 1,250) 18 and older, which was matched to the state population. Data were collected on the Theory of Planned Behavior (TPB) attributes of consumer attitudes toward purchasing, subjective norms, and perceived behavioral control to understand purchasing intent toward conventional, plant-based, and cultured meats. Descriptive results of these TPB attributes showed significant differences between meat options. The biggest difference was observed between the subjective norms of conventional and cultured meat. Additionally, logistic regression showed consumers’ current and future purchasing intent, with conventional meat, to be most affected by subjective norms. Current and future buying intent of plant-based meat, and future buying intent of cultured meat, was found to be most affected by consumers’ attitudes. The food and agricultural industry should use this information to better shape advertising and messaging with consumers about meat options. For conventional meat, agriculturalists should pay attention to consumer interests and perhaps include some social elements in advertising since it is influenced by subjective norms. Further research should explore all attributes of TPB with consumer purchasing intent, but especially with attitudes and subjective norms.
Etiologies, incidence, and demographics of lumbar vertebral fractures in U.S. emergency departments.

Background Lumbar vertebral fractures are debilitating injuries widely associated with significant patient deformity, disability, pain, and potentially neurological deficit. This cross-sectional database study investigates the most frequent annual etiologies of lumbar vertebral fractures presented to emergency departments throughout the United States (U.S.) from 2010-2018. Methods The National Electronic Injury Surveillance System (NEISS) database was used to identify all patients who visited participating emergency departments between 2010-2018 and were diagnosed with a lumbar spine fracture. Population estimates by age (18+) were obtained from annual U.S. Census estimates and used to calculate annual incidence rates of lumbar fractures per 100,000 people. Results The annual incidence rate of total lumbar fractures in the U.S. increased from 14.6 to 22.5 per 100,000 people from 2010-2018 (54%). From 2010-2018, there were 382,914 [95% confidence interval (CI): 382,855-382,973] lumbar fractures in the U.S. This increased from 34,328 (95% CI: 34,277-34,379) in 2010 to 57,098 (95% CI: 57,044-57,152) in 2018 (66.3%). Men composed 40.2% and women made up 59.8% of patients. Mean patient age increased by 2.96 years from 65.5 (95% CI: 65.38-65.62) years in 2010 to 68.4 (95% CI: 68.32-68.48) years in 2018 (4.5%). From 2010-2018, floors, stairs/steps, and ladders were the most common etiologies of lumbar fractures. Estimated sum of floor-related fractures was 80,054 (95% CI: 79,986-80,122), stair/step-related fractures was 48,274 (95% CI: 48,209-48,339), and ladder-related fractures was 31,053 (95% CI: 30,987-31,119). The increase in these three etiologies accounted for 48% of the total increase of all-cause lumbar fractures between 2010 and 2018. Conclusions The volume of lumbar vertebral fracture has increased over the last near decade (66.3%), and approximately half (48%) of these fractures can be attributed to accidents caused by flooring, stairs/steps, and ladder-related injuries. The increasing mean patient age, as well as accidents involving ladders, were found to be statistically correlated with the rise in total lumbar fracture volume.
An Efficient Correlation-Based Reception Scheme for Satellite Communications

Considering limited pilot and storage resources in satellite communications, we propose an efficient correlation-based reception scheme consisting of a “parallel” frequency-phase estimation (PFPE) mode and a data blockwise compensation (DBC) scheme. In specific, the PFPE mode provides an autocorrelation (AC) frequency offset estimator and a maximum-likelihood (ML) phase offset estimator using a special but heuristic AC value; the DBC scheme uses a small amount of cross-correlation (CC) based compensation values to eliminate the impact of residual offsets on each data block. Simulation results show that with a small pilot overhead the proposed reception scheme can weaken “frequency-to-phase coupling” and achieve good error performance with a small demand for storage.
Assessment of the performance of different imputation methods for low-coverage sequencing in Holstein cattle.

Low-coverage sequencing (LCS) followed by imputation has been proposed as a cost-effective genotyping approach for obtaining genotypes of whole-genome variants. Imputation performance is essential for the effectiveness of this approach. Several imputation methods have been proposed and successfully applied in genomic studies in human and other species. However, there are few reports on the performance of these methods in livestock. Here, we evaluated a variety of imputation methods, including Beagle v4.1, GeneImp v1.3, GLIMPSE v1.1. 0, QUILT v1.0. 0, Reveel, and STITCH v1.6. 5, with varying sequencing depth, sample size, and reference panel size using LCS data of Holstein cattle. We found that all of these methods, except Reveel, performed well in most cases with an imputation accuracy over 0.9; on the whole, GLIMPSE, QUILT, and STITCH performed better than the other methods. For species with no reference panel available, STITCH followed by Beagle would be an optimal strategy, whereas for species with reference panel available, QUILT would be the method of choice. Overall, this study illustrated the promising potential of LCS for genomic analysis in livestock.