Miracle-dz/UniFAR-FTUs huggingface dataset:
Hyperoxic ventilatory response in infants is related to nocturnal hypoxaemia

Background The carotid bodies primarily serve as oxaemia sensors that affect tidal breathing. Their function has not yet been studied in infants with nocturnal hypoxaemia. This cross-sectional study aimed to characterise the hyperoxic ventilatory response (HVR) in infants and its relationship to nocturnal hypoxaemia. Methods The HVR was analysed in term infants aged <24 months with childhood interstitial lung disease (chILD), those with severe recurrent wheezing (wheeze), and nonrespiratory controls. The HVR timing was characterised using hyperoxia response time (HRT1), and HVR magnitude was characterised by the relative change in minute volume between normoxia and 30-s hyperoxia (VE_dH30). Time spent with an arterial haemoglobin oxygen saturation (SpO2) <90% during overnight monitoring (t90) was estimated. Results HVR data were available for 23 infants with chILD, 24 wheeze and 14 control infants. A significant decrease in minute volume under 30 s of hyperoxia was observed in all patients. HRT1 was shorter in chILD (5.6±1.2 s) and wheeze (5.9±1.5 s) groups than in the controls (12.6±5.5 s) (ANOVA p<0.001). VE_dH30 was increased in the chILD group (24.3±8.0%) compared with that in the controls (14.7±9.2%) (p=0.003). t90 was abnormal in the wheeze (8.0±5.0%) and chILD (32.7±25.8%) groups and higher in the chILD group than in the controls (p<0.001). HRT1 negatively correlated with t90 in all groups. Conclusion Significant differences in HVR timing and magnitude were noted in the chILD, wheeze and control groups. A relationship between nocturnal hypoxaemia and HRT1 was proposed. HVR characterisation may help identify patients with abnormal nocturnal SpO2.
A Full Tensorial Synthesis Method for Holographic-Based Leaky-Wave Antennas

In this letter, a novel approach to extract the surface impedance tensor of a pixel geometry within a squared unit cell is presented. The scalar impedance is utilized to create a nonlinear system of equations resulting in an eigenmode impedance tensor for an arbitrary pixel geometry. A 3-D-tensor database is created in order to assign the analytical impedance tensors to a physical pixel geometry in a single step procedure. Based on the tensorial synthesis method, an anisotropic holographic-based high-gain leaky-wave antenna is realized on a fused silica wafer for an operation frequency of 160 GHz. The far field measurements show a gain of 32 dBi, a polarization purity of 38 dB, and a sidelobe level of 28 dB at 160 GHz. The input reflection coefficient is below $-$10 dB, and a maximum gain of 35 dBi is achieved across the bandwidth from 140 to 170 GHz.
Selection of dairy goats using milk recording and multivariate analysis in a family farming system

Although dairy control is a widely used tool in herds with numerous animals (mainly cows), it is often neglected in small farms. The aim of the present work was to select the most suitable animals for milk production using dairy control and multivariate statistics. Results indicate a great dispersion of the data as a consequence of milk production variation from each goat. These results demonstrate the need to identify and select the most productive animals in order to have a selected and controlled flock. The analysis of hierarchical conglomerates showed that the herd can be divided into three groups: Cluster 1 is integrated by 31 goats with the highest productive parameters, above the herd average and together produce 59.1% of the accumulative milk yield; Cluster 2 consists of 24 animals whose production parameters are close to the current average of the herd and accumulates 27.7% of milk production and Cluster 3 groups animals with the lowest production. From the results obtained, it was possible to make the selection of the 55 most productive animals for milk production. This represents 64.70% of the herd and they are responsible for 86.8% of the total milk production.
Supply Chain Agility and Competitive Advantage: A Moderated Mediation Analysis of Lean Marketing

This article brings to light the powerful connection between supply chain agility (SCA) and lean marketing as tools for gaining competitive advantage in this modern era of business. For organizations, achieving a competitive advantage is of the highest importance. Businesses use a variety of techniques to position themselves against their rivals as a result of rising competition. The study also looked at how SCA and firm competitiveness are moderated and mediated by lean marketing. In Ghana, information was gathered from 225 businesses via a questionnaire-based survey. Confirmatory factor analysis and structural equation modeling was used to analyze the data obtained. The study demonstrated that the relationship between SCA and competitive advantage is highly influenced by lean marketing. The findings highlighted that lean marketing partially mediates the connotation between SCA and competitive advantage, while the moderating variables revealed that lean marketing has a significant but unfavorable influence on this association. The main goal is to ensure that firms focus on effective use of SCA and lean marketing to achieve competitive advantage. Firms should continually adapt to the fast-changing business environment and search for creative ways to satisfy new market needs.
Language Nativeness Modulates Physiological Responses to Moral vs. Immoral Concepts in Chinese–English Bilinguals: Evidence from Event-Related Potential and Psychophysiological Measures

Morality has been an integral part of social cognition and our daily life, and different languages may exert distinct impacts on human moral judgment. However, it remains unclear how moral concept is encoded in the bilingual brain. This study, therefore, aimed to explore the emotional and cognitive involvement of bilingual morality judgement by using combined event-related potential (ERP) and psychophysiological (including skin, heart, and pulse) measures. In the experiment, thirty-one Chinese–English bilingual participants were asked to make moral judgments in Chinese and English, respectively. Our results revealed increased early frontal N400 and decreased LPC in L1 moral concept encoding as compared to L2, suggesting that L1 was more reliant on automatic processes and emotions yet less on elaboration. In contrast, L2 moral and immoral concepts elicited enhanced LPC, decreased N400, and greater automatic psychophysiological electrocardiograph responses, which might reflect more elaborate processing despite blunted emotional responses and increased anxiety. Additionally, both behavioral and P200 data revealed a reliable immorality bias across languages. Our results were discussed in light of the dual-process framework of moral judgments and the (dis)embodiment of bilingual processing, which may advance our understanding of the interplay between language and morality as well as between emotion and cognition.
Fe2O3/MgFe2O4 Nanosheet on Nickel Foam for High-Performance Asymmetric Supercapacitors

In this paper, the effects of nickel foam with different thicknesses, as a fluid collector, on the morphology and properties of electrode materials were explored. The Fe2O3 material, which is a common active material for supercapacitor electrodes, was used in combination with MgFe2O4. This combination resulted in better electrochemical performance and cycle stability for the Fe2O3 material. The synthesis ratio of Fe2O3/MgFe2O4 materials with the best stability, as reported in a previous article, was selected for this study. The electrode with the best performance was then selected and assembled with activated carbon to form an asymmetric supercapacitor. This supercapacitor exhibited a high specific capacity of 240 C/g, an energy density of 58.75 Wh/kg, and a power density of 200.4 W/kg at a current density of 1 A/g. These findings provide valuable references for the selection of different fluid collectors with electrodes.
Transcriptome Analysis Reveals the Molecular Mechanism and Responsive Genes of Waterlogging Stress in Actinidia deliciosa Planch Kiwifruit Plants

Waterlogging stress is one of the major natural issues resulting in stunted growth and loss of agricultural productivity. Cultivated kiwifruits are popular for their rich vitamin C content and unique flavor among consumers, while commonly sensitive to waterlogging stress. The wild kiwifruit plants are usually obliged to survive in harsh environments. Here, we carried out a transcriptome analysis by high-throughput RNA sequencing using the root tissues of Actinidia deliciosa (a wild resource with stress-tolerant phenotype) after waterlogging for 0 d, 3 d, and 7 d. Based on the RNA sequencing data, a high number of differentially expressed genes (DEGs) were identified in roots under waterlogging treatment, which were significantly enriched into four biological processes, including stress response, metabolic processes, molecular transport, and mitotic organization, by gene ontology (GO) simplify enrichment analysis. Among these DEGs, the hypoxia-related genes AdADH1 and AdADH2 were correlated well with the contents of acetaldehyde and ethanol, and three transcription factors Acc26216, Acc08443, and Acc16908 were highly correlated with both AdADH1/2 genes and contents of acetaldehyde and ethanol. In addition, we found that there might be an evident difference among the promoter sequences of ADH genes from A. deliciosa and A. chinensis. Taken together, our results provide additional information on the waterlogging response in wild kiwifruit plants.
Automatic image processing to identify post-COVID conditions by using deep learning

In the present research, a supervised learning classification methodology is proposed to identify post-COVID conditions. Image processing and deep learning methods were employed to analyze a data set provided by the High Specialty Medical Unit No.1 of the Mexican Institute of Social Security (T1-IMSS) of Leon, Guanajuato, Mexico, of Mexican patients infected with COVID-19. The dataset is classified into post-COVID findings and no post-COVID findings. A deep neural network of 50 hidden layers is used to extract regions of interest, with properties that can potentially be related to computer-aided medical diagnosis. Different patterns were found in the post-COVID computed tomography scans: pulmonary fibrosis, ground glass pattern, etc. The efficiency of the proposed method was 97% precision using the cross-validation classification scenario. This result allows to provide an auxiliary tool in medical diagnosis, through computer-aided diagnosis. This model provides an automatic and objective estimation of post-COVID conditions of Mexican patients, facilitating the expert interpretation during the COVID-19 pandemic.
Roll Vortices in the Boundary Layer Caused by a Concave Wind Profile: A Theoretical Study

Abstract The present study solves a two-layer atmospheric wave equation model with a lower atmosphere concave wind profile and cold-air outbreak over sea, while simultaneously proving that such a wind shear may cause neutral boundary layer roll vortices in the presence of disturbing sources upstream. Without thermal effects, the wind shear-induced waves have band structures at the top of the boundary layer that are similar to cloud street patterns observed over sea. This study proves that dynamic and thermal effects can act independently to initiate the roll vortices in the lower atmosphere. At the same time, a quantitative comparison shows that dynamic effects play a large role in the formation of roll vortices in the initial stage of cold-air outbreak and will be surpassed by thermal effects soon after surface heating commences.
A Hybrid Born Iterative Method for Diagnosis of Planar Arrays With Amplitude-Only Far-Field Measurements

The diagnosis of antenna arrays typically necessitates comprehensive far-field measurements, which include both magnitude and phase. However, in numerous scenarios, phase measurements prove to be impractical due to technological constraints and costs. In this letter, a new diagnostic technique with amplitude-only far-filed measurements is presented. Firstly, the diagnostic issue is treated as the reconstruction of the aperture differential field in order to handle arbitrary types of arrays. Subsequently, the Born iterative method, together with the total variation compressive sensing method, is employed to solve the resulting nonlinear and ill-posed problem. Numerical results are given to validate the potentiality of our diagnostic approach.
Transformable Linkage-Based Gripper for Multi-Mode Grasping and Manipulation

Gripper hardware design often involves a trade-off between distinct and sometimes opposing goals (e.g., high grasping force vs. gentleness). To address this trade-off within a single device, we present a multi-mode gripper with fingers that are scissor linkages, that can actively transform between three distinct modes by varying the number and locations of mechanical singularities. Each of these modes has properties that are suitable for specific needs. Mode 1 provides high grip strength, using a short lever arm and rigid structure. Mode 2 allows precise finger positioning and in-hand manipulation, using two independently controlled DOFs per finger. Mode 3 provides underactuated grasping that can passively adapt to delicate or irregularly shaped objects, with four DOFs per finger. The kinematic relationships, joint torques, and fingertip forces are derived analytically for each of the three modes. Gripper performance and the kinematic model are verified experimentally.
Influence of Depression and the Moderating Effect of Self Esteem on Risky Sexual Behaviour among University of Ibadan Students

This study examined the influence of depression and the moderating effect of self esteem on Risky Sexual Behaviour among the University of Ibadan students. Two hundred and twenty-five students comprising of 88 males (39.1%), and 137 females (60.9%) drawn from the University of Ibadan with their age ranging from 16 to 31, with mean score of 19. 68years ± 2.862, were recruited for the study. Partial correlation and multiple regression analysis were carried out to identify the moderating and mediating effect of self esteem on the relationship between depression and risky sexual behaviour respectively. It was established that the quality of relationship between depression and risky sexual behaviour drops significantly when self esteem is controlled [r (223) t = . 191, P < . 01}, indicating that self-esteem moderates the influence of depression on risky sexual behaviour. Multiple Regression analysis showed that depression and self esteem have significant joint influence on risky sexual behaviour [F (2, 222) t = 7.442, p< 0.05} and that only depression made significant independent contribution to the prediction of risky sexual behaviour (B = 0.207, t = 2.895, p<0.05). T-test of independence shows that participants with low self esteem significantly reported high risky sexual behaviour [t (223) = . 2.109, p<0.05}. Likewise, students with severe depression significantly score higher on risky sexual behaviour [t (223) = -. 2046, p<0.05}. It was concluded that depression and self esteem are important in explaining Risky Sexual Behaviour among students. It therefore emphasizes the consistent screening of mental health of students as part of student help programme in the University.
Noise-Based Threshold Ranging Method Using Region-of-Interest in UWB Signals

Ultrawideband (UWB) ranging algorithms using thresholding require careful settings that account for multipath richness. Max-peak ratio thresholds are incapable of detecting attenuated first path components (FPCs) or risk triggering on noise. A noise-based threshold is more reliable and robust, but setting this threshold transforms the problem into distinguishing noise from signal. For a limited-length channel impulse response (CIR) from a commercial off-the-shelf (COTS) device, this presents a major challenge. This article presents a novel algorithm to perform this task. We break down the problem into parts, distinguishing a noise-only region on which to base the value of the final threshold from a region-of-interest (RoI) where the FPC can be found. We present a thorough investigation into ranging performance and parameter sensitivity in different environments using both the synthetic and empirical data sources. Our approach achieves on- par performance with the DW1000 on- chip algorithm on an industrial dataset, having an absolute error precision of 37 (90th percentile, P90) and 28 cm [mean absolute error (MAE)]. This is around 5–20 times better than other established low-complexity algorithms such as the max-ratio algorithm (P90: 7.48 m, MAE: 1.73 m) and the leading-edge detection (LDE) algorithm (P90: 4.39 m, MAE: 1.26 m).
A comparative analysis of fruit fly and human glutamate dehydrogenases in Drosophila melanogaster sperm development

Glutamate dehydrogenases are enzymes that take part in both amino acid and energy metabolism. Their role is clear in many biological processes, from neuronal function to cancer development. The putative testis-specific Drosophila glutamate dehydrogenase, Bb8, is required for male fertility and the development of mitochondrial derivatives in spermatids. Testis-specific genes are less conserved and could gain new functions, thus raising a question whether Bb8 has retained its original enzymatic activity. We show that while Bb8 displays glutamate dehydrogenase activity, there are significant functional differences between the housekeeping Gdh and the testis-specific Bb8. Both human GLUD1 and GLUD2 can rescue the bb8 ms mutant phenotype, with superior performance by GLUD2. We also tested the role of three conserved amino acids observed in both Bb8 and GLUD2 in Gdh mutants, which showed their importance in the glutamate dehydrogenase function. The findings of our study indicate that Drosophila Bb8 and human GLUD2 could be novel examples of convergent molecular evolution. Furthermore, we investigated the importance of glutamate levels in mitochondrial homeostasis during spermatogenesis by ectopic expression of the mitochondrial glutamate transporter Aralar1, which caused mitochondrial abnormalities in fly spermatids. The data presented in our study offer evidence supporting the significant involvement of glutamate metabolism in sperm development.
Up to Date Review of Nature-Inspired Superhydrophobic Textiles: Fabrication and Applications

In recent years, with the rapid development of the economy and great progress in science and technology, people have become increasingly concerned about their quality of life and physical health. In order to pursue a higher life, various functional and biomimetic textiles have emerged one after another and have been sought after by people. There are many animal and plant surfaces with special wettability in nature, and their unique “micro-nano structures” and low surface energy have attracted extensive attention from researchers. Researchers have prepared various textiles with superhydrophobic features by mimicking these unique structures. This review introduces the typical organisms with superhydrophobicity in nature, using lotus, water strider, and cicada as examples, and describes their morphological features and excellent superhydrophobicity. The theoretical model, commonly used raw materials, and modification technology of superhydrophobic surfaces are analyzed. In addition, the application areas and the current study status of superhydrophobic surfaces for textiles are also summarized. Finally, the development prospects for superhydrophobic textiles based on bionic technology are discussed.
On the Establishment of New National Geographic Grid for National Geographic Conditions Monitoring

将国家地理格网编码体系作为国家空间数据基础设 施的首选格网,以提高地理信息互操作和服务。 如美 国联邦地理数据委员会( FGDC) 于 2001 年发布了基 于位置服务的《美国国家格网 ( USNG) 》标准,该标准 以美国军方格网参考系统( MGRS) 为基础建立,在美 国领土范围内二者等同。 而且为了更便于公众使用, 还同时发布了 UTM 投影地图和国家格网之间互相转 换的软件。 另外,英国也制定了适合本国特点的国家 格网参考系统。 加拿大的自然区域编码地理产品公 司提出了全球统一地址编码技术。 我国现行的《地理格网》标准规定的编码规则, 因和投影分带有关,编码不唯一而且编码较长,不利 于空间定位服务和唯一空间地址编码的建立。 目前 除国家基本比例尺地图和基础地理信息数据产品外, 公开使用的格网主要是以区域、城市和街区为单位的 区域格网。 如国内的导航电子地图开发企业在产品 中使用了自己的地理格网编码,北京、武汉等城市开 展了格网化精细管理,并开发出局部格网编码体系 等,但这些不同格网之间兼容性差、转换困难。
A Metabolomics Study of Feces Revealed That a Disturbance of Selenium-Centered Metabolic Bioprocess Was Involved in Kashin–Beck Disease, an Osteoarthropathy Endemic to China

Background: Kashin–Beck disease (KBD) is a distinct osteoarthropathy in China with an unclear pathogenesis. This study aims to explore whether perturbations in the intestine metabolome could be linked to KBD individuals. Methods: An investigation was conducted in KBD endemic villages and fecal samples were collected. After applying inclusion and exclusion criteria, a total of 75 subjects were enrolled for this study, including 46 KBD (including 19 Grade I KBD and 27 Grade II KBD) and 29 controls. Untargeted metabolomics analysis was performed on the platform of UHPLC-MS. PLS-DA and OPLS-DA were conducted to compare the groups and identify the differential metabolites (DMs). Pathway analysis was conducted on MPaLA platform to explore the functional implication of the DMs. Results: Metabolomics analysis showed that compared with the control group, KBD individuals have a total of 584 differential metabolites with dysregulated levels such as adrenic acid (log2FC = −1.87, VIP = 4.84, p = 7.63 × 10−7), hydrogen phosphate (log2FC = −2.57, VIP = 1.27, p = 1.02 × 10−3), taurochenodeoxycholic acid (VIP = 1.16, log2FC = −3.24, p = 0.03), prostaglandin E3 (VIP = 1.17, log2FC = 2.67, p = 5.61 × 10−4), etc. Pathway analysis revealed several significantly perturbed pathways associated with KBD such as selenium micronutrient network (Q value = 3.11 × 10−3, Wikipathways), metabolism of lipids (Q value = 8.43 × 10−4, Reactome), free fatty acid receptors (Q value = 3.99 × 10−3, Reactome), and recycling of bile acids and salts (Q value = 2.98 × 10−3, Reactome). Subgroup comparisons found a total of 267 differential metabolites were shared by KBD vs. control, KBD II vs. control, and KBD I vs. control, while little difference was found between KBD II and KBD I (only one differential metabolite detected). Conclusions: KBD individuals showed distinct metabolic features characterized by perturbations in lipid metabolism and selenium-related bioprocesses. Our findings suggest that the loss of nutrients metabolism balance in intestine was involved in KBD pathogenesis. Linking the nutrients metabolism (especially selenium and lipid) to KBD cartilage damage should be a future direction of KBD study.
Is fibromyalgia a neuropsychiatric disorder

Fibromyalgia (FM) is a chronic musculoskeletal disorder characterized by generalized pain and tenderness at specific anatomic sites, called tender points (1). The condition had been recognized for years under other names (nonarticular rheumatism, psychogenic rheumatism, and fibrositis), but in 1990 the American College of Rheumatology (ACR) defined criteria for the classification of these patients and FM was “officially” borne; the ACR has recently published revised diagnostic criteria (Table 1) which include a measure of symptom severity reflecting the nonarticular manifestations of FM (2). These criteria correctly classified between 89% and 95% of FM patients. Either the 1990 or the 2010 criteria can be used in the clinical and research settings.