Miracle-dz/UniFAR-FTUs huggingface dataset:
In search of performance-oriented leadership behaviours in the Ghanaian financial service sector: the role of knowledge sharing

PurposeThis study seeks to examine the mediating role of knowledge sharing (KNS) in the nexus between leadership behaviours and organizational performance (OP). Design/methodology/approachUsing the survey research design, data were obtained from 335 employees in the Ghanaian financial service sector. Responses were analysed using IBM SPSS (v.23.0), Smart PLS 3.0 and Haye’s (2017) PROCESS macro.FindingsKNS mediated the relationship between leadership behaviours and OP. In addition, transformational leadership behaviour and transactional leadership behaviour positively relate to OP rather than transfor-sactional leadership behaviour.Practical implicationsThe findings of this study give credence to the disputed notion that KNS plays a significant role in effective leadership behaviours that enhances OP.Originality/valueThis paper provides a distinctive approach in examining the interrelationship among leadership behaviours, OP and KNS in the Ghanaian financial service sector.
The Development of a Multi-Stage Compressor for Heavy Duty Industrial Gas Turbines

ABB has developed a new type of industrial gas turbine, the GT24 and GT26, in order to meet the increasing market requirement for a high efficiency in both simple cycle and combined cycle modes. The new engines are characterized by an increased pressure-ratio, a sequential combustion system and top component efficiencies. One of the most demanding tasks has been the development of the new high pressure ratio compressor, designed with controlled diffusion airfoils and 3 variable vane rows. In order to verify the aerodynamic design and the mechanical integrity, the first 15 stages of the compressor have been modeled and tested in an extensively instrumented rig. Both the aerodynamic behavior and the blade stresses have been measured during start-up, off-design, and nominal-speed operation, mapping the entire compressor performance field. The experimental results agree well with the predicted design data. © 1995 ASME
CIRCULAR-POLARIZED PROXIMITY-FED TIP-TRUNCATED TRIANGULAR SWITCHABLE ARRAY FOR LAND VEHICLE MOBILE SYSTEM

This paper proposes a compact, circularly polarized (CP), tip-truncated, triangular patch array developed for a land vehicle mobile system for mobile satellite communications. The array is constructed by three patches so that its beam pattern can be switched in three 120°-coverage beams in the azimuth plane with minimum gain requirement at a fixed point of the elevation angle. With this pattern, data communications with a large geostationary satellite can be achieved. The targeted gain is set to be 5 dBic at 48° of the looking angle from the satellite in the Kanto area. The patches are fed with a proximity feed technique because of its simplicity and easier installation on the vehicle. The array performance is numerically analyzed with the method of moment to clarify the array characteristics. Measurement results are provided to validate the simulated results. The results show that the array meets the specifications at the targeted looking angle of 48° when the gain is more than 5-dBic for each three-selectable beams in the azimuth plane.
An Empirical Study of Shanghai-Hong Kong Stock Connect Program and Financing Constraints under the Regulatory Effects

Shanghai-Hong Kong Stock Connect Program began on July 17th, 2014, aiming to strengthen the cooperation in capital markets and promote the opening of domestic companies to the outside world. Based on DID and PSM-DID method, the article analyzes data sample from 2010 to 2017, exploring the effects of the program on financing constraints. It shows that Shanghai-Hongkong Stock Connect Program alleviates financing constraints of underlying companies: If the institutional ownership is regarded as moderating variable, the financing constraints changes significantly; With the help of this program, enterprises with high investors attention and low tax rate are more likely to get rid of the dilemma of financing. According to the results, the government should keep promoting the development of capital markets and enterprises should learn from the outside world and constantly improve their management skills.
New GPS anti-jamming system based on multiple short-time Fourier transform

In this study, an enhanced short-time Fourier transform (STFT)-based jamming mitigation system which employs several windows to increase time–frequency (t–f) plane resolution is proposed. A technique for employing near-optimum windows is also proposed. It is observed that selection of these windows leads to increasing the resolution of the t–f representation. An infinite impulse-response notch filter is employed for jamming removal process. Performance of the proposed method is evaluated by a set of measured global positioning system data. It is compared with conventional STFT-based algorithms reported in literature.
Food quality and safety monitoring using gas sensor array in intelligent packaging

This paper aims to study different possibilities for implementing easy-to-use and cost-effective micro-systems to detect and trace expelled gases from rotten food. The paper covers various radio-frequency identification (RFID) technologies and gas sensors as the two promoting feasibilities for the tracing of packaged food. Monitoring and maintaining quality and safety of food in transport and storage from producer to consumer are the most important concerns in food industry. Many toxin gases, even in parts per billion ranges, are produced from corrupted and rotten food and can endanger the consumers’ health. To overcome the issues, intelligent traceability of food products, specifically the packaged ones, in terms of temperature, humidity, atmospheric conditions, etc., has been paid attention to by many researchers. ,Contaminated food is usually detectable by odor. A small gas sensors and low-cost tailored to the type of food packaging and a communication device for transmitting alarm output to the consumer are key factors in achieving intelligent packaging. ,Conducting polymer composite, intrinsically conducting polymer and metal oxide conductivity gas sensors, metal–oxide–semiconductor field-effect transistor (MOSFET) gas sensors offer excellent discrimination and lead the way for a new generation of “smart sensors” which will mould the future commercial markets for gas sensors. ,Small size, low power consumption, short response time, wide operating temperature, high efficiency and small area are most important features of introduced system for using in package food.
Free Chlorine Determination in Disinfectant Product using Visible Spectrophotometry based on Prussian Blue Degradation

Disinfectant products with excessive chlorine could be dangerous for health and need quality control. It is important to develop an analytical method for monitoring product quality. The main objective of this work is to develop an alternative method and evaluate the analytical performance of visible spectrophotometry for determining free chlorine in disinfectant products based on the Prussian blue decomposition process. The capability of chlorine to oxidize ferrous to ferric ions makes the Prussian blue generated by ferrosulfate and potassium ferricyanide is decomposed and measured by spectrophotometer. The formation of Prussian blue was improved by optimizing some reaction conditions and assessing incubation time. Linearity, analytical concentration range, precision, accuracy, detection limit, and quantitation limit parameters were among the examined analytical parameters. The results showed that the optimum concentration of ferrosulfate, potassium ferysianide, and hydrochloric acid for Prussian blue formation was 2.0 mmol L-1, 3.0 mmol L-1, and 0.5 mol L-1, respectively, with 15 minutes incubation time after chlorine addition. Analytical performance parameters seemed appropriate for routine analysis purposes. The developed method can also be applied as an alternative analytical method to determine the free chlorine concentration of disinfection products in the market.
Maternal protein restriction leads to enhanced hepatic gluconeogenic gene expression in adult male rat offspring due to impaired expression of the liver X receptor

Epidemiological studies demonstrate that the link between impaired fetal development and glucose intolerance in later life is exacerbated by postnatal catch-up growth. Maternal protein restriction (MPR) during pregnancy and lactation in the rat has been previously demonstrated to lead to impaired glucose tolerance in adulthood, however the effects of protein restoration during weaning on glucose homeostasis are largely unknown. Recent in vitro studies have identiﬁed that the liver X receptor a (LXR a ) maintains glucose homeostasis byinhibiting criticalgenesinvolved ingluconeogenesis including G6pase ( G6pc ), 11 b -Hsd1 ( Hsd11b1 ) and Pepck ( Pck1 ). Therefore, we hypothesized that MPR with postnatal catch-up growth would impair LXR a in vivo , which in turn would lead to augmented gluconeogenic LXR a -target gene expression and glucose intolerance. To examine this hypothesis, pregnant Wistar rats were fed a control (20%) protein diet (C) or a low (8%) protein diet during pregnancy and switched to a control diet at birth (LP). At 4 months, the LP offspring had impaired glucose tolerance. In addition, LP offspring had decreased LXR a expression, while hepatic expression of 11 b -HSD1 and G6Pase was signiﬁcantly higher. was concomitant with decreased binding of LXR a to the putative LXRE on 11 b -Hsd1 and G6pase . Finally, we demonstrated that the acetylation of histone H3 (K9,14) surrounding the transcriptional start site of hepatic Lxr a ( Nr1h3 ) was decreased in LP offspring, suggesting MPR-induced epigenetic silencing of the Lxr a promoter. In summary, our study demonstrates for the ﬁrst time the important role of LXR a in mediating enhanced hepatic gluconeogenic gene expression and consequent glucose intolerance in adult MPR offspring.
Can the components of green intellectual capital influence employee green behavior? An empirical analysis on Indian energy sector using the partial least squares method

PurposeThe study aims to explore the relationship between the dimensions of green intellectual capital (GIC) and employee green behavior (EGB). Design/methodology/approachA survey has been conducted among a random representative population of employees working for the energy-sector organizations in India to collect data for this study. Exploratory factor analysis (EFA) for GIC supports the inclusion of the new dimension in its construct. Confirmatory factor analysis (CFA) validates the measurement model. Hypothesized relationships have been examined by applying structural equation modeling using partial least squares method.FindingsResults corroborate that all the four dimensions of GIC have varying degrees of significant positive impact on EGB. The study contributes to the existing literature by extending the understanding of the concept of GIC and its connection with EGB using natural-resource based theory and social cognitive theory (SCT). Originality/valueThe study has empirically examined the relationship between GIC and EGB in the context of a developing country like India. Moreover, unlike the existing literature that have classified GIC into green human capital (GHC), green structural capital (GSC) and green relational capital (GRC), the study identifies green spiritual capital (GSpC) as another important dimension of GIC which is an intangible asset and highly relevant in influencing altruistic activities like green behavior. The study presents significant implications for managers and policy-makers for ensuring EGB by investing in GIC resources.
Optimization of garbage removal within a territorial community

This paper proposes an algorithm for optimizing the garbage collection route in a local community (or a separate settlement). The study was conducted for one garbage truck. To achieve the maximum efficiency of the algorithm, it has been assumed that the points of discharge of collected waste by a garbage truck could be arranged along the way between the proposed clusters of garbage collection points. The optimization of the built routes has been proven, taking into consideration the above assumptions. The study's results could be used to reduce the budget expenditures by territorial community authorities for the collection and disposal of waste. The reported solutions could significantly shorten the garbage collection time, which would improve the environmental and aesthetic situation within the study area. The use of a new algorithm makes it possible to display the results both in quantitative and qualitative forms. An improved k-means algorithm with a maximum cluster size was selected for clustering. Each cluster was built on the basis of the maximal value of garbage truck tonnage. That means that the size of the cluster would be determined by the value of the maximum amount of waste that can be removed by a garbage truck in one run. A task of the traveling salesman was applied to find the shortest path between representatives of one cluster (garbage collection points) calling at all its points and to establish the optimal path between all the clusters formed for a territorial community. The issue related to efficient waste disposal in local communities tends to aggravate rapidly while the task to optimize garbage collection and removal is becoming increasingly acute. This is because at present, along with the increase in the global population, all types of production are increasing their volumes, which, in turn, leads to an increase in the amount of waste, in particular, household.
Research on Detection Algorithm of Tablet Surface Defect Based on Yolov3

Tablet surface defect detection is an important part of tablet quality inspection, and manual detection and traditional pattern recognition methods are difficult to achieve the expected results. In this regard, this paper proposes a method for detecting tablet defects based on YOLOV3, which firstly uses industrial cameras to complete the collection of tablet defect images and creates a data set; then uses Daeknet-53 as the backbone network to initially extract features; secondly, constructs FPN feature pyramid enhancement Extraction of features; finally use yolo-head to obtain prediction results; detection mAP reaches 92.97% on the test set of the self-built data set. The experimental results show that the method has certain applicability and feasibility.
A microfluidic mixer and illumination system for a high-throughput optical calorimeter

Calorimetry is a label-free technique that can provide valuable insight into the thermodynamics of drug binding important to drug design and development. Nonetheless, conventional isothermal titration calorimetry is not used in highthroughput drug screening campaigns due to its high sample consumption and limited throughput. In previous work, we demonstrated an optical analog that involves measurements of the spectral reflectance of thermochromic liquid crystal (TLC) particles, and employs microfluidics to enable rapid measurement of reaction enthalpy in sub-nanoliter aqueous droplets. To optimize system performance, we have evaluated mixing of reactants in droplets with a custom-fabricated microfluidic chip. In addition, we constructed a large area illuminator and dichroic detection blocks to scale to multiple detection points along the droplet travel direction to probe the droplet temperature at several time points. Our platform’s current temperature resolution of 3 mK is on the same order as commercial ITCs and 10-fold better than most nanocalorimeters. This label-free microfluidic calorimeter with scalable optical read-out has the potential to accelerate the process of drug discovery in high-throughput screening campaigns.
Generative models for molecular discovery: Recent advances and challenges

Development of new products often relies on the discovery of novel molecules. While conventional molecular design involves using human expertise to propose, synthesize, and test new molecules, this process can be cost and time intensive, limiting the number of molecules that can be reasonably tested. Generative modeling provides an alternative approach to molecular discovery by reformulating molecular design as an inverse design problem. Here, we review the recent advances in the state‐of‐the‐art of generative molecular design and discusses the considerations for integrating these models into real molecular discovery campaigns. We first review the model design choices required to develop and train a generative model including common 1D, 2D, and 3D representations of molecules and typical generative modeling neural network architectures. We then describe different problem statements for molecular discovery applications and explore the benchmarks used to evaluate models based on those problem statements. Finally, we discuss the important factors that play a role in integrating generative models into experimental workflows. Our aim is that this review will equip the reader with the information and context necessary to utilize generative modeling within their domain.
Accuracy of attenuation imaging in the assessment of pediatric hepatic steatosis: correlation with the controlled attenuation parameter

Purpose This study evaluated the accuracy of attenuation imaging (ATI) for the assessment of hepatic steatosis in pediatric patients, in comparison with the FibroScan vibration-controlled transient elastography controlled attenuation parameter (CAP). Methods Consecutive pediatric patients referred for evaluation of obesity who underwent both ATI and FibroScan between February 2020 and September 2021 were included. The correlation between attenuation coefficient (AC) and CAP values was assessed using the Spearman test. The AC cutoff value for discriminating hepatic steatosis corresponding to a CAP value of 241 dB/m was calculated. Multivariable linear regression analysis was performed to estimate the strength of the association between AC and CAP. The diagnostic accuracy of AC cutoffs was estimated using the imperfect gold-standard methodology based on a two-level Bayesian latent class model. Results Seventy patients (median age, 12.5 years; interquartile range, 11.0 to 14.0 years; male:female, 58:12) were included. AC and CAP showed a moderate-to-good correlation (ρ =0.646, P<0.001). Multivariable regression analysis affirmed the significant association between AC and CAP (P<0.001). The correlation was not evident in patients with a body mass index ≥30 kg/m2 (ρ=-0.202, P=0.551). Linear regression revealed that an AC cutoff of 0.66 dB/cm/MHz corresponded to a CAP of 241 dB/m (sensitivity, 0.93; 95% confidence interval [CI], 0.85 to 0.98 and specificity, 0.87; 95% CI, 0.56 to 1.00). Conclusion ATI showed an acceptable correlation with CAP values in a pediatric population, especially in patients with a body mass index <30 kg/m2. An AC cutoff of 0.66 dB/cm/MHz, corresponding to a CAP of 241 dB/m, can accurately diagnose hepatic steatosis.
Compact Microstrip Bandpass Filter for Radars and Wireless Communication

Abstract In this article, a new compact microstrip bandpass Alter with ultra-wideband passband is implemented and proposed. The filter is constructed of only one-stage parallel-coupled line and two symmetric short-circuited stubs which are quarter wavelength long at the center frequency. The short-circuited stubs are connected at the input/output ends of the parallel-coupled lines to improve the selectivity at both edges of the desired passband. The design of the proposed filter is successfully realized in theory and verified by full-wave electromagnetic simulation and the experiment. An excellent agreement between the expected and measured results is obtained.
Functional evaluation of height–diameter relationships and tree development in an Australian subtropical rainforest

Context . Allometric equations describing the relationships between tree height ( H ) and breast height diameter ( D ) should be both statistically ef ﬁ cient and biologically relevant. Aims . To determine whether selected allometric equations can meet established criteria for both ef ﬁ ciency and relevance. Methods . Nine equations were compared to de ﬁ ne the H – D relationships of 1122 individuals and 18 species from an Australian subtropical rainforest. Key results . Three-parameter asymptotic equations described initial slope ( a ), curvature ( b ), and asymptotic height ( H a ). Each equation was evaluated for precision (root mean square error, RMSE) and bias in H estimates, and ease of interpretation of function parameters. For both individual species and all stems, a non-rectangular hyperbola (NRH) provided almost equally high precision and low bias as did the statistically most parsimonious generalised Michaelis – Menten function, plus linear parameter values easily relatable to tree structural and functional attributes. The value of NRH a increased linearly with wood density for canopy species, but not for understorey and subdominant species, whereas the value of NRH b decreased as H a increased from understorey to canopy species. Conclusions . Species within understorey, subdominant, and canopy structural groups shared similar ranges of parameter values within groups that re ﬂ ect both intrinsic architectural and developmental patterns, and environmental limitations to H a . Implications . The NRH can be used to visualise both early and later tree development stages and differences among the growth patterns of species occupying different positions within a forest.
Different Smoking Statuses on Survival and Emphysema in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease

Objective To investigate the association between different smoking statuses and survival and emphysema in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods This retrospective study included patients admitted from October 2014 to September 2017. Demographic, clinical, laboratory, imaging, impulse oscillometry, and traditional pulmonary function data were collected. The relationship between smoking and EI was analyzed via binary logistic regression after adjusting for other factors. Survival was analyzed using the Kaplan–Meier method and the log rank test. Results The patients with AECOPD (357 cases) were identified (and stratified into three groups: never smoked (NS; n=83), former smokers (FS, n=118), and current smokers (CS; n=156). Compared with CS, NS were older and predominantly female. No differences were observed in respiratory symptoms and acute exacerbation between CS and NS. NS had higher resistance and reaction in the central and peripheral airways, while CS exhibited more severe diffuse dysfunction. CS demonstrated more severe and extensive emphysema. Smoking was an independent risk factor for emphysema after adjusting for age, forced expiratory volume in the first second over predicted value, BMI, leukocyte count, and carbon monoxide transfer coefficient. No difference in 5-year survival rates between NS and CS was established. Conclusion CS has the worst pulmonary function, suggesting a more important destruction of the lung parenchyma, while AECOPD without smoking risk factors mostly affects the airways. Impulse oscillometry can be used for imaging airway-dominant AECOPD. There was no difference in the 5-year survival rate.