Miracle-dz/UniFAR-FTUs huggingface dataset:
Genotype–Phenotype Relationship among 785 Unrelated White Women with Inherited Congenital Factor VII Deficiency: A Three-Center Database Study

Background: Congenital factor VII (FVII) deficiency, a rare bleeding disorder resulting from mutations in the F7 gene with autosomal recessive inheritance, exhibits clinical heterogeneity that lacks a strong correlation with FVII:C levels. The objective of this study was to discern genetic defects and assess their associations with the clinical phenotype in a substantial cohort comprising 785 white women exhibiting FVII:C levels below the age-dependent cut-off percentage. Patients and Methods: Individuals with verified inherited factor VII deficiency underwent i) genotyping using the Sanger method and multiplex ligation-dependent probe amplification (MLPA) to identify F7 mutations, including common polymorphic variants. Additionally, they were ii) categorized based on clinical bleeding scores (BS). Thrombophilic variants and blood groups were also determined in the study participants. Results: The probands in this study encompassed both asymptomatic individuals (referred for a laboratory investigation due to recurrent prolonged prothrombin time; n = 221) and patients who manifested mild, moderate, or severe bleeding episodes (n = 564). The spectrum of bleeding symptoms included epistaxis, gum bleeding, gastrointestinal bleeding, hematuria, postoperative bleeding, and gynecologic hemorrhage. The median ISTH bleeding score (BS) recorded within a two-year period prior to the work-up was 2 (0–17). Notably, this score was significantly higher in symptomatic women compared to their asymptomatic counterparts (3 versus 0; p < 0.001). The corresponding PBAC score before hormonal treatment stood at 225 (5–1200), exhibiting a positive correlation with the ISTH BS (rho = 0.38; p = 0.001). Blood group O was more prevalent in symptomatic women compared to asymptomatic individuals (58 versus 42%; p = 0.01). Among the 329 women (42%), known and novel mutations in the F7 gene, encompassing coding regions, exon/intron boundaries, and the promoter region, were identified, while common polymorphisms were detected in 647 subjects (95%). Logistic regression analysis, adjusted for clinical and laboratory data (including blood group, FVII activity, the presence of F7 gene mutations and/or polymorphisms, thrombophilia status, and additional factor deficiencies) revealed that older age at referral (increase per year) (odds/95% CI: 1.02/1.007–1.03), the presence of blood group O (odds/95% CI: 1.9/1.2–3.3), and the coexistence of further bleeding defects (odds/95% CI: 1.8/1.03–3.1) partially account for the differences in the clinical bleeding phenotype associated with FVII deficiency. Conclusion: The clinical phenotype in individuals with FVII deficiency is impacted by factors such as age, blood group, and the concurrent presence of other bleeding defects.
Outage and Throughput Performance of NOMA Inspired Cognitive IoT Network with Imperfect SIC

In this paper, we study and investigate non-orthogonal multiple access (NOMA) inspired cognitive Internet-of-Things (IoT) network to enhance the outage and throughput performance of secondary NOMA user and IoT user. In a cognitive IoT network, the information from the source to user located at the centre of secondary cell is transmitted via direct link. In contrast, an IoT relay-aided cooperative link is used to transmit the information to cell-edge user. The IoT relay also acts as a master node for IoT applications and delivers the information to IoT device in the secondary network during the same time slot used to relay the information to cell-edge user. The approximate closed-form expressions of outage probability (OP) and throughput are derived in the presence of imperfect successive interference cancellation (SIC). The analytical expressions of OP and throughput are validated through numerical simulations. Furthermore, the effect of maximum allowable power requirement and SIC error on the system throughput has been studied, and the results are compared with the OMA-based transmission scheme.
Propagation des ondes radioélectriques à travers l'atmosphère

Une liaison radioelectrique entre le sol et un satellite traverse l'atmosphere terrestre. Celle-ci comporte deux regions susceptibles d'influencer la propagation des ondes : la troposphere et l'ionosphere. La troposphere designe les couches basses de l'atmosphere ou se produisent les phenomenes meteorologiques. Ceux-ci ont une influence notable sur la propagation Terre-espace. En regle generale, cette influence tend a augmenter avec la frequence de l'onde. L'ionosphere est une region de la haute atmosphere ou les composants sont partiellement ionises par le rayonnement solaire. Cette ionisation exerce egalement une influence sur la propagation des ondes. A l'inverse de la troposphere, les effets ionospheriques sont preponderants aux basses frequences, en dessous de 1 GHz, et diminuent avec la frequence.
Factores asociados a las prácticas de identificación, diagnóstico y tratamiento de la comorbilidad tuberculosis-diabetes mellitus de médicos generales responsables de la Estrategia Sanitaria de Prevención y Control de Tuberculosis de una red de salud de L

Objetivo: Determinar los factores asociados a las prácticas de identificación, diagnóstico y tratamiento de lacomorbilidad tuberculosis-diabetes mellitus (TB-DM) de médicos generales responsables de la Estrategia Sanitaria de Prevención y Control de Tuberculosis (ES-PCT) de una red de salud de Lima. Material y métodos: Estudio cuantitativo observacional de tipo transversal analítico; realizado en centros de salud de la Red de Salud San Juan de Lurigancho (RS-SJL). Se aplicó un cuestionario que constó de dos partes: características sociodemográficas (6 preguntas) y prácticas de la asociación TB-DM (20 preguntas): identificación (2 preguntas), diagnóstico (7 preguntas) y tratamiento (11 preguntas). Se validó el contenido del instrumento por juicio de expertos, con 10 profesionales de la salud, entre metodólogos y temáticos; y para el estimado de homogeneidad se utilizó el coeficiente de Kuder-Richardson; en ambos casos se obtuvo significancia. Resultados: La población de estudio se caracterizó en el 61,8 % por ser de sexo masculino; el 50 % tiene entre 31 y 40 años de edad; y el 38,2 % ha trabajado en la ES-PCT entre 1 a 5 años. Entre las prácticas médicas, obtuvo mayor puntaje preguntar al paciente con TB sobre sus antecedentes familiares de DM, con el 94,1 %; seguido de registrar el dato en la parte de antecedentes de la historia clínica, con el 85,3 %. Solo el 20,6 % de los médicos presentaron prácticas adecuadas y se asoció con la edad (p = 0,01) y el tiempo en la ES-PCT (p < 0,05). Conclusiones: Los médicos generales responsables de la ES-PCT requieren mejorar las prácticas para el manejo de pacientes con la comorbilidad TB-DM.
Intención de uso de tecnologías mobiles entre los profesores en formación. Aplicación de un modelo de adopción tecnológica basado en TAM con los constructos compatibilidad y resistencia al cambio

El conocimiento del proceso de aceptación de las TIC en contextos de educación formal, supone una herramienta esencial para lograr el éxito en la incorporación tecnológica de los centros educativos. Este trabajo presenta los resultados de un estudio descriptivo sobre intención de uso del mobile learning entre los estudiantes del Grado de Maestro de Primaria. La población está compuesta por los estudiantes de dicha titulación en la Universidad de Salamanca a los que se ha pasado un cuestionario basado en el modelo TAM, expandido con los constructos de compatibilidad y resistencia al cambio. 678 sujetos participaron en el estudio. Los resultados muestran una disposición moderadamente favorable hacia el uso futuro de esta metodología. Se han encontrado diferencias significativas en función del género, especialmente en los constructos compatibilidad y resistencia al cambio. Keywords—TAM; mobile learning; aceptación tecnológica; estudiantes universitarios; maestros
Exploring confidence in boys' elementary dance education

This study explored low self-confidence in elementary school male students and strategies to overcome it. This study used a qualitative descriptive approach, focusing on 18 fifth grade students. Data collection methods included interviews, classroom observations, and self-confidence questionnaires. Data analysis followed the Miles and Huberman model (data reduction, data presentation, and conclusion drawing). The results showed that most male students lacked confidence in solo dancing but were confident in groups. The inhibiting factors included lack of previous experience, discomfort in front of peers, fear of judgment, lack of support and encouragement, and lack of practice and preparation. To overcome these issues, inclusive learning strategies, support, and a supportive environment are essential. Eliminating gender stereotypes in dance education is also important. The implications of this study underscore the need to create a positive and inclusive environment for male students to develop their confidence and interest in dance. It is expected that their participation and involvement in arts activities at school will increase.
Tropospheric Gravity Waves Increase the Likelihood of Double Tropopauses

The tropopause region is crucial for the stratosphere‐troposphere exchange (STE) and acts as an indicator of climate change. Double tropopauses (DTs) act to increase the STE process but their driving mechanisms remain an open question. The present assessment offers for the first time the linkage between tropospheric gravity waves (GWs) and DT events by exploring a global data set of multi‐year radiosonde measurements. In the extratropics, the occurrence frequency of DT events keeps a remarkably consistent spatial‐temporal structure with GW total energy. Under the DT scenario, GW total energy has increased by 37.67% compared to single tropopause events. Based on a statistical assessment, the upward propagating GWs throughout the second tropopause region can probably raise Kelvin‐Helmholtz instability or turbulence, leading permanent irregularities in thermodynamic structure, and consequently, increasing the likelihood of DT.
Attention-Based Noise-Aware Framework for Speech Enhancement

Speech enhancement performance of neural networks relies on the richness and completeness of training data, that show performance degradation for burst unseen noise. To solve this problem, we propose an attention-based noise-ware framework, that works feasibly with arbitrary single-channel speech enhancement model to enhance the realtime noise feature extraction ability of those models. Multi-head attention is applied to generate the predicted noise information by combining multidimensional noise bases derived from environment-related noise clusters in memory library. The predicted noise features are adaptively embedded at the input of traditional models to bring better robustness and awareness of unseen background noise. Mel-scale weighted loss function is proposed to combine the network training process with human auditory perception. Experiments prove that our framework outperforms baselines (LSTM and CRN) in both seen and unseen noisy scenes with various SNR.
Chemical and Nutritional Fat Profile of Acheta domesticus, Gryllus bimaculatus, Tenebrio molitor and Rhynchophorus ferrugineus

The use of edible insects in the human diet is gaining importance because they are characterized by high nutritional value, and their cultivation is much more environmentally friendly than traditional livestock farming. The objective of this study was to determine the chemical and nutritional fat profile of selected edible insects as follows: house cricket (Acheta domesticus adult), field cricket (Gryllus bimaculatus adult), mealworm (Tenebrio molitor larvae), and palm weevil (Rhynchophorus ferrugineus larvae) which are now commercially available worldwide. Additionally, the degree of implementation of nutrition standards for selected nutrients by these insects was assessed. Freeze-dried insects were studied using infrared-attenuated total reflectance mid-infrared spectroscopy for basic differentiation. The content of fat and fatty acids was determined, and dietary indicators were calculated. The spectroscopic findings align with biochemical data, revealing that Rhynchophorus ferrugineus larvae contain the highest fat content and the least protein. Unsaturated fatty acids (UFAs) predominated in the fat of the assessed insects. The highest content of saturated fatty acids (SFAs), along with the lowest content of polyunsaturated fatty acids (PUFAs), was observed in the larvae of the Rhynchophorus ferrugineus species. From a nutritional standpoint, Tenebrio molitor larvae exhibit the most favorable indicators, characterized by minimal athero- and thrombogenic effects, along with an optimal balance of hypo- and hypercholesterolemic acids. Knowledge of the composition and quantities of fats in different insect species is valuable for planning and preparing meals with accurate nutritional profiles, among other applications.
Effects of Health-Promoting Lifestyle on Late-Onset Depression in Older Adults: Mediating Effect of Meaning in Life and Interleukin-6 (IL-6)

Purpose Late-onset depression (LOD) with poor treatment response has high incidence and mortality in the China’s aged people, this study aims to explore the correlation between health-promoting lifestyle, meaning in life, interleukin-6 (IL-6) and LOD for providing scientific basis of LOD prevention and rehabilitation. Patients and Methods A total of 496 LOD patients (study group) and healthy older adults (control group) were enrolled and investigated by using the Health-promoting lifestyle Profile-II, revised (HPLP-IIR), Meaning in Life Questionnaire-Chinese Version (MLQ-C), and Hamilton Depression Scale (HAMD). The interleukin-6 (IL-6) in the circulating blood was detected by utilizing ELISA kit. Results The results showed that the scores of all factors in HPLP-IIR and MLQ were significantly lower and IL-6 level was higher in the study group than the control group. Scores of most factors in HPLP-IIR and MLQ negatively and IL-6 positively correlated with scores of subscales and total HAMD score. Meaning in life and IL-6 partially mediated the relationship between health-promoting lifestyles and depression severity in the study group, with the mediating effect explains 15.76% and 22.64% of the total effect, respectively. Conclusion Health-promoting lifestyles, meaning in life, and IL-6 are predictors of LOD, and an unhealthy lifestyle could induce LOD through the mediating effect of meaning in life and IL-6 in older adults.
Phenotypic and genetic characterization of an Avena sativa L. germplasm collection of diverse origin: implications for food-oat breeding in Chile

Oats are known for their nutritional value and also for their beneficial properties on human health, such as the reduction of cholesterol levels and risk of coronary heart disease; they are an important export product for Chile. During the last decade (2010-2022) over 90% of the oat cultivated area in Chile has been covered with Avena sativa L. cv. Supernova INIA. This lack of genetic diversity in a context of climate change could limit the long-term possibility of growing oats in Chile. The present study is a phenotypic and genetic analysis of 132 oat cultivars and pure lines of diverse origin that can be considered as potential breeding material. The germplasm was evaluated for 28 traits and analyzed with 14 SSR markers. The effects of genotypes on phenotype were significant over all traits (P ≤ 0.05). Most traits exhibited moderate to high broad-sense heritability with exceptions such as yield (H2 = 0.27) and hulls staining (H2 = 0.32). Significant undesirable correlations between traits were generally of small biological importance, which is auspicious for achieving breeding objectives. Some of the heritability data and correlations provided here have not been previously reported. The overall phenotypic diversity was high (H’ = 0.68 ± 0.18). The germplasm was grouped into three phenotypic clusters, differing in their qualities for breeding. Twenty-six genotypes outperforming Supernova INIA were identified for breeding of conventional food-oats. The genetic diversity of the germplasm was moderate on average (He = 0.58 ± 0.03), varying between 0.32 (AM22) and 0.77 (AME178). Two genetic subpopulations supported by the Structure algorithm exhibited a genetic distance of 0.24, showing low divergence of the germplasm. The diversity and phenotypic values found in this collection of oat genotypes are promising with respect to obtaining genetic gain in the short term in breeding programs. However, the similar genetic diversity, higher phenotypic diversity, and better phenotypic performance of the germplasm created in Chile compared to foreign germplasm suggest that germplasm harboring new genetic diversity will be key to favor yield and quality in new oat cultivars in the long term.
A visual place recognition method based on semantic instance and bag context

Visual place recognition is an essential function for robot system, which can effectively reduce position error via traversing same place. However, a major challenge in this field is to be robust against viewpoint and illumination changes caused by environmental variations. To solve this problem, we propose a novel visual place recognition method in coarse-to-fine manner, which incorporating both high-level semantic feature and bag context information. Firstly, the semantic features of an image are obtained by adopting deep learning network, which converts the image data to the instance representation in more simple way. In coarse stage, we utilize the Bag of word (BoW) model to quantify semantic features by calculating their frequency distribution. In fine stage, we enhance the spatial correlations of semantic objects to further distinguish similar scenes. Through the above two stage, we achieve a robust pipeline of visual place recognition to tackle viewpoint and condition variations. Experimental results on several datasets, including both indoor scenes and outdoor scenes, show that our method achieve good performance, especially for extreme conditions.
STFO – Power-Saving Deep-Sleep States are Overrated

In many Internet-of-Things (IoT) and Wireless Sensor Network (WSN) application areas, where the wireless nodes sleep most of the time, ultra-low power micro-controllers ($\mu\text{Cs}$) are used, which usually feature several sleep modes. At particularly low duty cycles, the corresponding $\mu\mathrm{C}$ are put into a very deep sleep mode, from which they wake up again – either independently by a timer or triggered from outside – to then perform their actual tasks. In the application area of addressable Wake-up Radios (WURs), mostly $\mu\text{Cs}$ are used as address decoder, which have a very low quiescent current consumption. In this paper, we show that for the purpose of address decoding in WURs it is not necessary to rely on $\mu\text{Cs}$ with particularly low sleep current consumption, because it is much more useful to simply switch off the $\mu\text{Cs}$ by an upstream circuit and thus save even more energy. Our evaluation results suggest that the lessons learned can also be applied to other application areas.
Large-Scale Traffic Signal Control Based on Multi-Agent Q-Learning and Pressure

Traffic congestion has become an increasingly severe problem and needs to be solved urgently. Reinforcement learning (RL) is an advanced data-driven approach for large-scale adaptive traffic signal control (ATSC) in the complex urban traffic network. The decentralized multi-agent RL (MARL) framework is feasible for multi-intersection scenarios. However, the environment becomes partially observable and nonstationary without effective communication among agents from the perspective of each local agent. Previous studies solve this problem by improving the observation of each local agent and using a spatial discount factor. In this paper, we are motivated by achieving coordination among intersections in the RL settings and better performance in ATSC and solve the problem of traffic signal control at multiple intersections in large-scale networks based on RL techniques. Pressure is used as an indicator to represent the traffic conditions of an intersection considering its neighbor intersections. A new reward function with pressure and vehicle waiting time is designed to achieve coordination among intersections. The above three control policies are innovatively applied to a multi-agent Q-learning method for ATSC at multiple intersections. Experiments are carried out on a large synthetic traffic grid under simulated peak-hour traffic dynamics. Results demonstrate that our approach outperforms the state-of-the-art decentralized MARL algorithms in average queue length and intersection delay.
Comprehensive Characterization of Commercial Reverse Osmosis Membranes through High-Temperature Cross-Flow Filtration

Developing thermally stable reverse osmosis membranes is a potential game-changer in high-temperature water treatment. In this work, the performance of three commercial reverse osmosis membranes was evaluated with a series of high-temperature filtrations. The membranes were tested with different filtration methodologies: long-term operation, cyclic tests, controlled stepwise temperature increment, and permeability tests. The morphological and physiochemical characterizations were performed to study the impact of high-temperature filtration on the membranes’ chemical composition and morphological characteristics. An increase in the temperature deteriorated the membrane performance in terms of water flux and salt rejection. Flux decline at high temperatures was recognized as the primary concern for high-temperature filtrations, restricting the applications of commercial membranes for long-term operations. This research provides valuable insights for researchers aiming to thoroughly characterize reverse osmosis membranes at high temperatures.
Gibt es für Stadt und Auto eine gemeinsame Zukunft?

Stadt und Verkehr bilden eine Symbiose. Doch die kurzfristigen Perspektiven dafür sind schlecht, da fast in allen Städten die umfeldverträgliche Verkehrsbelastbarkeit zumindest der Hauptverkehrsstraßen überschritten wird. Viele Städte sehen im Stadtverkehr das größte Problem. Die Konkurrenzverhältnisse zwischen öffentlichem Personennahverkehr und Auto verschieben sich zugunsten des Autos. Auch im Güterverkehr wird es weitere Verlagerungen von der Bahn zum Lkw geben. Bis zum Jahr 2000 werden steigende Fahrleistungen im Personenverkehr und im Güterverkehr prognostiziert, wobei die Steigerungen auf den privaten Autoverkehr und den Straßengüterverkehr entfallen. In vielen Städten zwingt die Unverträglichkeit des Autoverkehrs mit anderen Stadtfunktionen und mit der überlieferten Stadtgestalt zum sofortigen Handeln. Ziel dieses Handelns ist weniger und langsamerer Autoverkehr, damit die Vorteile des Autos auch in der Stadt weiter genutzt werden können. Hier ist eine stadtverträgliche Verkehrsplanung gefordert, die auf der „Flächennutzungsebene“ die Straßenfunktionen miteinander in verträglicher Weise verknüpft und einander zuordnet, um den Verkehrsaufwand durch kürzere Wege zu verringern, die den Verkehr flächenhaft beruhigt und die den Verkehr auf umwelt- und energieschonende Verkehrsmittel verlagert. Hauptansatzpunkte sind die Ordnung des ruhenden Verkehrs durch konsequente und flächendeckende Parkraumstrategien und die Förderung des Öffentlichen Personennahverkehrs als System der Daseinsvorsorge und des praktizierten Umweltschutzes.