Miracle-dz/UniFAR-FTUs huggingface dataset:
The translation of shoeprint to barefoot footprint based on SM-GAN

Footprints are important information at the crime scene and play an important role in the field of criminal investigation. At present, the research on footprints mainly focuses on barefoot footprints, but the main thing obtained at the crime scene is shoeprints. How to mine barefoot footprints through shoeprints is one point of the key problems in the field of footprint recognition. This paper takes optical footprints as the research object, collects 95 people’s cloth shoeprints and barefoot footprints, and proposes a generative adversarial network which combines self-attention modules and multiscale discriminator (SM-GAN). The self-attention module is added to the generator, which enables the network to focus on the association between footprint structures. The discriminator uses a multiscale discriminator structure, which improves the generation effect of the generated image in the global and local areas. The experimental results show that the method proposed in this paper has a better effect of generating footprints than traditional image-to-image translation methods.
Lightweight iris segmentation network for low-power devices

Abstract. With the increasing demand for authentication using iris biometrics, iris recognition systems are gradually being deployed on low-power devices. Iris segmentation is a critical step for iris recognition systems. However, existing iris segmentation methods often require a more complex network to obtain higher accuracy, which makes the segmentation model have a greater number of parameters and a higher computation cost. Therefore, these algorithms are not suitable for deployment on low-power devices. To address this problem, we propose a lightweight iris segmentation network, referred to as ATTention Linknet. First, we redesign the feature extraction part of the Linknet, which combines traditional convolution based on an attention mechanism with depthwise separable convolution to reduce computation cost while maintaining accuracy. Then, a proposed loss function that better segments the iris images taken under different cross-sensors is used to train the network. Experimental results on the Chinese Academy of Sciences (CASIA-V4), Indian Institute of Technology Delhi (IITD), and the University of Beira Interior (UBIRIS.V2) iris databases show that the proposed method better balances iris segmentation precision and efficiency compared with state-of-the-art iris segmentation methods. Specifically, our model obtains an error rate of 1.47% on the CASIA-V4 database with 1.69 M parameters.
Longitudinal Nutritional Intakes in Italian Pregnant Women in Comparison with National Nutritional Guidelines

Background: Nutritional quality during pregnancy is crucial for mother and child health and their short/long-term outcomes. The aim of this study is to evaluate the adherence to nutritional recommendations in Italy during the three pregnancy trimesters in Normal Weight (NW) and Over Weight (OW) women. Methods: Data from a multicenter randomized controlled trial included 176 women (NW = 133; OW = 43) with healthy singleton pregnancies enrolled within 13 + 6 weeks of gestation. Dietary intake was assessed every trimester by a Food Frequency Questionnaire. Results: OW and NW had similar gestational weight gain. However, as Institute of Medicine (IOM) recommend lower gestational weight gain (GWG) for OW, they exceeded the suggested range. In both groups, caloric intake during the three trimesters never met recommendations. Protein intake in first and second trimester was higher than recommendations, as was sugars percentage. Dietary fiber intake was lower in OW. Polyunsaturated fatty acids, calcium, iron and folic acid requirements were never satisfied, while sodium intake exceeded recommendations. Conclusions: NW and OW women in Italy do not adhere to nutritional recommendations during pregnancy, with lower caloric intake, protein and sugars excess and inadequacies in micronutrients intake. Pregnant women in Italy should be provided with an adequate counseling and educational intervention as well as supplementation when indicated.
Multiplying Siblings: Exploring the Trade-off Between Family Size and Child Education in Rural Bangladesh

Abstract The question of whether large families have a subsequent negative impact on child health, education, and welfare is of pressing concern for development and public health policy. We tackle this question by empirically exploring whether parents face a trade-off between increasing the size of their family and investing in their children. Using data from a rural sub-district in Bangladesh (the 1996 Matlab Health and Socioeconomic Survey), we estimate the effect of siblings on school attendance, literacy, and numeracy. We use an instrumental variables approach, instrumenting first for children’s sibship size their mothers’ menarche age, and also instrumenting for children’s sibship size with the household’s treatment status (in the Matlab family planning experiment). Although we find no effect of siblings on school attendance, we find that additional siblings increase the likelihood that children are literate and numerate. These effects are greater for girls and younger siblings, consistent with positive numeracy and literacy spillovers from older siblings to younger ones. The results provide counter-evidence to the quality-quantity trade-off theory and demonstrate that sibling education spillovers may dominate any reduced investment on the part of parents.
Hiding in Plain Sight: Factors Influencing the Neuroinflammatory Response to Sport-Related Concussion

Sport-related concussion (SRC) is a major concern among athletes and clinicians around the world. Research into fluid biomarkers of SRC has made significant progress in understanding the complex underlying pathophysiology of concussion. However, little headway has been made toward clinically validating any biomarkers to improve the clinical management of SRC. A major obstacle toward clinical translation of any fluid biomarker is the heterogeneity of SRC overlapping with multiple physiological systems involved in pathology and recovery. Neuroinflammation post-SRC is one such system that may confound fluid biomarker data on many fronts. Neuroinflammatory processes consist of cell mediators, both within the central nervous system and the periphery, that play vital roles in regulating the response to brain injury. Further, neuroinflammation is influenced by many biopsychosocial variables present in most athletic populations. In this commentary, we propose that future fluid biomarker research should take a systems biology approach in the context of the neuroinflammatory response to SRC. We highlight how biological variables, such as age, sex, immune challenges, and hypothalamic-pituitary-adrenal (HPA)-axis responses to stress, may alter neuroinflammation. Further, we underscore the importance of accounting for health and lifestyle variables, such as diet, exercise, sleep, and pre-morbid medical factors, when measuring inflammatory markers of SRC. To successfully move toward clinical translation, fluid biomarker research should take a more holistic approach in study design and data interpretation, collecting information on hidden variables that may be influencing the neuroinflammatory response to SRC.
The Effect of Series and Shunt Redundancy on Power Semiconductor Reliability

In different industrial and mission oriented applications, redundant or standby semiconductor systems can be implemented to improve the reliability of power electronics equipment. The proper structure for implementation can be one of the redundant or standby structures for series or parallel switches. This selection is determined according to the type and failure rate of the fault. In this paper, the reliability and the mean time to failure (MTTF) for each of the series and parallel configurations in two redundant and standby structures of semiconductor switches have been studied based on different failure rates. The Markov model is used for reliability and MTTF equation acquisitions. According to the different values for the reliability of the series and parallel structures during SC and OC faults, a comprehensive comparison between each of the series and parallel structures for different failure rates will be made. According to the type of fault and the structure of the switches, the reliability of the switches in the redundant structure is higher than that in the other structures. Furthermore, the performance of the proposed series and parallel structures of switches during SC and OC faults, results in an improvement in the reliability of the boost dc/dc converter. These studies aid in choosing a configuration to improve the reliability of power electronics equipment depending on the specifications of the implemented devices.
Novasomes as Nano-Vesicular Carriers to Enhance Topical Delivery of Fluconazole: A New Approach to Treat Fungal Infections

The occurrence of fungal infections has increased over the past two decades. It is observed that superficial fungal infections are treated by conventional dosage forms, which are incapable of treating deep infections due to the barrier activity possessed by the stratum corneum of the skin. This is why the need for a topical preparation with advanced penetration techniques has arisen. This research aimed to encapsulate fluconazole (FLZ) in a novasome in order to improve the topical delivery. The novasomes were prepared using the ethanol injection technique and characterized for percent entrapment efficiency (EE), particle size (PS), zeta potential (ZP), drug release, Fourier-transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), scanning electron microscopy (SEM) and antifungal activity. The FN7 formulation with 94.45% EE, 110 nm PS and −24 ZP proved to be the best formulation. The FN7 formulation showed a 96% release of FLZ in 8 h. FTIR showed the compatibility of FLZ with excipients and DSC studies confirmed the thermal stability of FLZ in the developed formulation. The FN7 formulation showed superior inhibition of the growth of Candida albicans compared to the FLZ suspension using a resazurin reduction assay, suggesting high efficacy in inhibiting fungal growth.
Inspiratory Muscle Training in Patients with Chronic Obstructive Pulmonary Disease (COPD) as Part of a Respiratory Rehabilitation Program Implementation of Mechanical Devices: A Systematic Review

Chronic Obstructive Pulmonary Disease (COPD) is a complex and heterogeneous disease, with pulmonary and extrapulmonary manifestations, which leads to the need to personalize the assessment and treatment of these patients. The latest updates of national and international guidelines for the management of COPD reveal the importance of respiratory rehabilitation (RR) and its role in improving symptoms, quality of life, and psychosocial sphere of patients. Within RR, the inspiratory muscle training (IMT) has received special interest, showing benefits in maximum inspiratory pressure, perception of well-being, and health status in patients with chronic heart disease, respiratory diseases, and dyspnea during exercise. The aim of this review is to assess the efficacy of IMT in COPD patients through the use of inspiratory muscle training devices, compared with respiratory rehabilitation programs without inspiratory muscle training. In the last years, many mechanical devices focused on inspiratory muscle training have been developed, some of them, such as the AirOFit PRO™, PowerBreath®, or FeelBreathe®, have shown clear benefits. The active search for candidate patients to undergo the RR program with inspiratory muscle training using this type of device in COPD patients represents an advance in the treatment of this disease, with direct benefits on the quality of life of the patients. In this article, we review the available evidence on IMT in these patients and describe the different devices used for it.
Emotional State Analysis Model of Humanoid Robot in Human-Computer Interaction Process

The traditional humanoid robot dialogue system is generally based on template construction, which can make a good response in the set dialogue domain but cannot generate a good response to the content outside the domain. The rules of the dialogue system rely on manual design and lack of emotion detection of the interactive objects. In view of the shortcomings of traditional methods, this study designed an emotion analysis model based on deep neural network to detect the emotion of interactive objects and built an open-domain dialogue system of humanoid robot. In affective state analysis language processing, language coding, feature analysis, and Word2vec research are carried out. Then, an emotional state analysis model is constructed to train the emotional state of a humanoid robot, and the training results are summarized.
The pattern of breeding and management within the New Zealand Thoroughbred breeding industry 2005–2015. (II) The mare population

Context . The New Zealand Thoroughbred breeding industry is heavily focused on producing horses for the export market and there has been a reduction in the number of horses racing in the past 20 years. The impact of these production constraints, and changes in production focus, have not been described at a national herd level. Aim . To describe the breeding management, reproductive performance, and careers of the New Zealand Thoroughbred broodmare herd during the 2005/ 06 – 2015/16 breeding seasons. Methods . The demographics, population structure, reproductive ef ﬁ ciency, breeding management and career descriptors of Thoroughbred mares were examined using descriptive analysis. Gestation length was modelled using a linear mixed effects model. The impact of different variables on breeding career were quanti ﬁ ed by calculating odds ratio. Results . There was a consistent reduction in the size of the national broodmare herd over the 10 years investigated. Half of the mares not retained for breeding were mares that were breed to low-cost stallions. Despite a short (~100 days) commercial breeding season few (20%) mares were mated early in the season (September), with most mating (70%) occurring between October and November. The 27 days mean foaling to conception interval (FCI) suggests that FCI was arti ﬁ cially shortened and most pregnancy was achieved within ﬁ rst oestrus cycle post-partum. Mare career length and lifetime productivity was positively associated with the stud fee of the ﬁ rst stallion that the mare was mated to and number of foals registered for racing. Conclusion . Mare replacement and loss within the national herd was disproportionately associated with mares that were producing foals for a contracting domestic racing market. There was a constricted breeding season with most mares being mated within the ﬁ rst oestrous cycle post-partum. Mare retention and breeding success were positively associated with the service fee of the sire and progeny that had raced, re ﬂ ecting the commercial pressure of the industry on mare management. Implication . The changes in the broodmare herd and management re ﬂ ects the increasing proportion of the industry focusing on breeding foals that will appeal to the export market. The economic drivers for early born foals provide management challenges as these are not aligned with the optimal reproductive season of the horse.
Motor Fluctuations Development Is Associated with Non-Motor Symptoms Burden Progression in Parkinson’s Disease Patients: A 2-Year Follow-Up Study

Objective: The aim of the present study was to analyze the progression of non-motor symptoms (NMS) burden in Parkinson’s disease (PD) patients regarding the development of motor fluctuations (MF). Methods: PD patients without MF at baseline, who were recruited from January 2016 to November 2017 (V0) and evaluated again at a 2-year follow-up (V2) from 35 centers of Spain from the COPPADIS cohort, were included in this analysis. MF development at V2 was defined as a score ≥ 1 in the item-39 of the UPDRS-Part IV, whereas NMS burden was defined according to the Non-motor Symptoms Scale (NMSS) total score. Results: Three hundred and thirty PD patients (62.67 ± 8.7 years old; 58.8% males) were included. From V0 to V2, 27.6% of the patients developed MF. The mean NMSS total score at baseline was higher in those patients who developed MF after the 2-year follow-up (46.34 ± 36.48 vs. 34.3 ± 29.07; p = 0.001). A greater increase in the NMSS total score from V0 to V2 was observed in patients who developed MF (+16.07 ± 37.37) compared to those who did not develop MF (+6.2 ± 25.8) (p = 0.021). Development of MF after a 2-year follow-up was associated with an increase in the NMSS total score (β = 0.128; p = 0.046) after adjustment to age, gender, years from symptoms onset, levodopa equivalent daily dose (LEDD) and the NMSS total score at baseline, and the change in LEDD from V0 to V2. Conclusions: In PD patients, the development of MF is associated with a greater increase in the NMS burden after a 2-year follow-up.
An Adaptive and Highly Accurate FDTD Mesh Generation Technique for Objects with Complex Edge Structures

In this paper, a triangular facets based, highly accurate, and adaptive finite-difference time-domain (FDTD) mesh generation technique is presented. There are two innovations in the implementation of this technique. One is adaptive mesh lines placement method. The mesh lines are automatically set to be dense where the object has fine structure and sparse where the object has rough structure based on the incremental placement of the triangular mesh vertices. The other is ray column tracing method. Ray columns in the normal direction of the coordinate plane are employed to intersect the surface facets to make the mesh generation results highly accurate. The generating FDTD results of the numerical examples show that the proposed technique can well-restore objects with complex edge structures. The simulation results are in good agreement with the theoretical results.
ANALISIS PENDOKUMENTASIAN SISTEM MANAJEMEN KESELAMATAN DAN KESEHATAN KERJA BERDASARKAN PP NO. 50 TAHUN 2012 DI PT ANGKASA PURA II (PERSERO) BANDUNG

Occupational Health And Safety Management System or called OHSMS is a part of company management system in order to risk control that associated with work process to make a safe and healthy workplace. In PP No. 50 Tahun 2012 requires to documenting all important element in OHSMS and everything that associated with those element. PT Angkasa Pura II (Persero) Bandung have applying OHSMS for 1 year since March 2014 and already certified but in implementation at the workplace especially in documentation of OHSMS, there are still many documents related to the implementation OHSMS have not been made by worker, because the safety unit has not establish in this company.The purpose of this research was to analyse compatibility of documenting OHSMS with the regulation. This research is a descriptive qualitative research with indepth interview. The subjects of this research were 4 people as key informants from worker of every unit, Teknik Umum, TLMP, PKP-PK and Elektronika and 1 people as a triangulation informant is OHS coordinator. The result show there is still mismatch of OHSMS reporting based on the government regulation. Controlling document done with structuring and maintenance the documents. Recording and information management held for workers with socialization and for guest or others through OHS Coordinator. This needs socialization and training about OHSMS. Procedure of reporting system, forming an OHS unit and procurement information boards about OHS .
Single-mode fiber curvature sensor based on SPR.

A fiber surface plasmon resonance (SPR) sensor is widely used in high-sensitivity refractive index measurement, but there is less research on curvature measurement. In this paper, a single-mode fiber curvature sensor based on SPR is designed and fabricated. By employing bending, the transmitted light in the fiber core leaks into the cladding. A 50 nm gold film is coated outside the cladding, and the evanescent field of the cladding after bending contacts the gold film to cause SPR. When the curvature changes, the coupled cladding mode and intensity are different; that is, the SPR incident angle and evanescent field intensity are different, so as to realize the dual parameters of SPR resonance wavelength and depth of the resonance valley changing with curvature. By experiments, the influence of different cutoff wavelengths of single-mode fiber on the performance of the sensor is studied. The testing results indicate that with the decrease in cutoff wavelength of the single-mode fiber, the valley depth sensitivity of the sensor increases, and the half height width (FWHM) decreases. When the cutoff wavelength of the single-mode fiber is 630 nm, the valley depth sensitivity of the sensor is 0.0088a. u/m-1, the wavelength sensitivity is 0.26nm/m-1, and the average FWHM is only 21 nm. The proposed single-mode fiber curvature sensor based on SPR has a narrow FWHM and an opening threshold. It can also realize no opening threshold by introducing a coreless fiber, which provides a new solution, to the best of our knowledge, for the diversified detection of fiber SPR sensors.
Green roof irrigation management based on substrate water potential assures water saving without affecting plant physiological performance

Irrigation management in extensive green roofs (EGRs) is crucial in Mediterranean and semi‐arid climates, as it should guarantee efficient water use while ensuring plant survival and vegetation cover. However, benefits of maintaining moderately low substrate water potential (Ψs) have not been adequately investigated to date. An irrigation control unit based on Ψs thresholds for irrigation (MediWater Safe [MWS]) was compared to a common irrigation timer maintaining Ψs ⁓ 0 MPa (CTR) in shrub‐vegetated Mediterranean EGR modules. The effect of the different irrigation regimes on substrate temperature, plant water relations (leaf conductance to water vapour, midday water potential and turgor loss point) and root vulnerability to heat stress via electrolyte leakage was tested in four shrub species. Decreasing Ψs thresholds to −0.4 MPa reduced irrigation volumes by 68% in 3 summer months. However, the MWS unit neither influenced plant water status and vegetation cover nor induced physiological acclimation responses. Brief irrigation cycles imposed by MWS in the warmest hours reduced substrate surface temperature by 3°C compared to CTR. Plant water status dynamics and root vulnerability to heat were species specific. Progressive stomatal closure and plant decline occurred only in Ceanothus thyrsiflorus and were associated to high root vulnerability to heat. Mortality occurred only in some Ceanothus plants in the CTR module, where higher Ψs favoured the expansion of Hyperucum x moserianum. The results suggest that selecting proper Ψs thresholds for irrigation could optimize EGR benefits, guaranteeing substantial water savings and proper plant establishment. Moreover, we claim root resistance to heat as a key parameter for plant selection in Mediterranean EGRs.