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Two new zinc(II) complexes, triethylammonium dichlorido[2-(4-nitrophenyl)-4-phenylquinolin-8-olato]zinc(II), (C6H16N){Zn(C21H13N2O3)Cl2] (ZnOQ), and bis(triethylammonium) {2,2′-[1,4-phenylenebis(nitrilomethylidyne)]diphenolato}bis[dichloridozinc(II)], (C6H16N)2[Zn2(C20H14N2O2)Cl4] (ZnBS), were synthesized and their structures were determined using ESI–MS spectrometry, 1H NMR spectroscopy, and single-crystal X-ray diffraction. The results showed that the ligands 2-(4-nitrophenyl)-4-phenylquinolin-8-ol (HOQ) and N,N′-bis(2-hydroxybenzylidene)benzene-1,4-diamine (H2BS) were deprotonated by triethyl-amine, forming the counter-ion Et3NH+, which interacts via an N—H...O hydrogen bond with the ligand. The ZnII atoms have a distorted trigonal–pyramidal (ZnOQ) and distorted tetrahedral (ZnBS) geometries with a coordination number of four, coordinating with the ligands via N and O atoms. The N atoms coordinating with ZnII correspond to the heterocyclic nitrogen for the HOQ ligand, while for the H2BS ligand, it is the nitrogen of the imine (CH=N). The crystal packing of ZnOQ is characterized by C—H...π interactions, while that of ZnBS by C—H...Cl interactions. The emission spectra showed that ZnBS complex exhibits green fluorescence in the solid state with a small band-gap energy, and the ZnOQ complex does exhibit non-fluorescence.

A new quinoline derivative, namely, 6-(diethylamino)-4-phenyl-2-(pyridin-2-yl)quinoline, C24H23N3 (QP), and its MnII complex aqua-1κO-di-μ-chlorido-1:2κ4Cl:Cl-dichlorido-1κCl,2κCl-bis[6-(diethylamino)-4-phenyl-2-(pyridin-2-yl)quinoline]-1κ2N1,N2;2κ2N1,N2-dimanganese(II), [Mn2Cl4(C24H23N3)2(H2O)] (MnQP), were synthesized. Their compositions have been determined with ESI-MS, IR, and 1H NMR spectroscopy. The crystal-structure determination of MnQP revealed a dinuclear complex with a central four-membered Mn2Cl2 ring. Both MnII atoms bind to an additional Cl atom and to two N atoms of the QP ligand. One MnII atom expands its coordination sphere with an extra water molecule, resulting in a distorted octahedral shape. The second MnII atom shows a distorted trigonal–bipyramidal shape. The UV–vis absorption and emission spectra of the examined compounds were studied. Furthermore, when investigating the aggregation-induced emission (AIE) properties, it was found that the fluorescent color changes from blue to green and eventually becomes yellow as the fraction of water in the THF/water mixture increases from 0% to 99%. In particular, these color and intensity changes are most pronounced at a water fraction of 60%. The crystal structure contains disordered solvent molecules, which could not be modeled. The SQUEEZE procedure [Spek (2015). Acta Cryst. C71, 9–18] was used to obtain information on the type and quantity of solvent molecules, which resulted in 44 electrons in a void volume of 274 Å3, corresponding to approximately 1.7 molecules of ethanol in the unit cell. These ethanol molecules are not considered in the given chemical formula and other crystal data.

BackgroundInvasive pulmonary aspergillosis (IPA) typically occurs in immunocompromised individuals. Severe fever with thrombocytopenia syndrome (SFTS) patients are typically characterized by fever, thrombocytopenia, and leukopenia. These patients typically present with dysregulation of cellular and humoral immunity, which may predispose them to IPA. Our study aimed to identify risk factors for SFTS-associated invasive pulmonary aspergillosis (SAPA) and evaluate its associated prognostic impact.MethodsWe conducted a cohort study between January 2017 and December 2022 in a tertiary hospital in Wuhan City, China. All SFTS patients hospitalized in our department who formally consented were divided into a SAPA group and a non-SAPA group according to whether they were coinfected with aspergillosis or not. The independent risk factors for the SAPA group were determined by multivariate logistic regression. Receiver operating characteristic (ROC) analysis was used to assess the statistical value of parameters to predict SAPA patients. The survival analysis was carried out using the Kaplan–Meier (KM) method.ResultsOf the 269 hospitalized SFTS patients enrolled in the study, 118 (43.87%) cases were diagnosed with SAPA with an average age of 65.71 ± 9.7 years. Multivariate logistic regression analysis revealed that age, neurological complications, serum severe fever with thrombocytopenia syndrome virus (SFTSV) RNA loads, the white blood cell (WBC) count, platelet (PLT) count, albumin (ALB) and globulin (GLB) concentrations, and cardiac troponin I (cTNI) were complementary risk factors for the development of IPA in SFTS patients. The risk score is calculated as 5 times age, plus 6 times neurological complications, plus 10 times RNA (log), plus 5 times WBC, minus 5 times PLT, minus 5 times ALB, plus 5 times GLB, and plus 6 times cTNI. ROC curve analysis showed that the area under the receiver operating characteristic (AUROC) curve represented a risk score of 0.837 (95% CI: 0.789–0.885, p

Abstract As human activities in natural areas increase, understanding human–wildlife interactions is crucial. Big data approaches, like large‐scale camera trap studies, are becoming more relevant for studying these interactions. In addition, open‐source object detection models are rapidly improving and have great potential to enhance the image processing of camera trap data from human and wildlife activities. In this study, we evaluate the performance of the open‐source object detection model MegaDetector in cross‐regional monitoring using camera traps. The performance at detecting and counting humans, animals and vehicles is evaluated by comparing the detection results with manual classifications of more than 300 000 camera trap images from three study regions. Moreover, we investigate structural patterns of misclassification and evaluate the results of the detection model for typical temporal analyses conducted in ecological research. Overall, the accuracy of the detection model was very high with 96.0% accuracy for animals, 93.8% for persons and 99.3% for vehicles. Results reveal systematic patterns in misclassifications that can be automatically identified and removed. In addition, we show that the detection model can be readily used to count people and animals on images with underestimating persons by −0.05, vehicles by −0.01 and animals by −0.01 counts per image. Most importantly, the temporal pattern in a long‐term time series of manually classified human and wildlife activities was highly correlated with classification results of the detection model (Pearson's r = 0.996, p

Abstract Introduction Staphylococcus aureus (S. aureus) is an important pathogen in both community-acquired and hospital-acquired pneumonia. S. aureus pneumonia has a high mortality rate and serious complications. Resistance to multiple antibiotics is a major challenge in the treatment of S. aureus pneumonia. Understanding the antibiotic resistance profile of S. aureus and the risk factors for mortality can help optimize antibiotic regimens and improve patient outcomes in S. aureus pneumonia. Methods A prospective cohort study of 118 patients diagnosed with S. aureus pneumonia between May 2021 and June 2023 was conducted, with a 30-day follow-up period. Demographic information, comorbidities, Charlson Comorbidity Index, clinical characteristics, outcomes, and complications were collected for each enrolled case. The data were processed and analyzed using R version 3.6.2. Results S. aureus pneumonia has a 30-day mortality rate of approximately 50%, with complication rates of 22% for acute respiratory distress syndrome (ARDS), 26.3% for septic shock, and 14.4% for acute kidney injury (AKI). Among patients with methicillin-resistant S. aureus (MRSA) pneumonia treated with vancomycin (n = 40), those with a vancomycin minimum inhibitory concentration (MIC) ≤ 1 had significantly higher cumulative survival at day 30 compared to those with MIC ≥ 2 (log-rank test p = 0.04). The prevalence of MRSA among S. aureus isolates was 84.7%. Hemoptysis, methicillin resistance, acidosis (pH

AbstractIn a supportive and immersive environment, engaging in English extracurricular activities is crucial for university students as it enhances their language skills, cultivates valuable communication and teamwork abilities, and significantly alleviates their anxiety levels. This quantitative study aimed to examine the causality between the independent variable (intervention in English extracurricular activities—EECAs) and the dependent variable (learners’ anxiety levels) using the Foreign Language Anxiety Scale developed by Horwitz et al. Data were collected from a sample of 306 first-year students at a university in Vietnam through self-report surveys administered both before and after participating in EECAs. The analysis of the collected data employed descriptive statistics and paired sample t-tests, revealing a causal relationship between participation in these activities and language learners’ anxiety levels. The results revealed that active involvement in extracurricular activities may reduce learners’ anxiety levels. These findings emphasize the significance of considering the potential impact of extracurricular activities on learners’ anxiety levels and call for further research and interventions to address and alleviate anxiety in language learners involved in such activities.

Pollination is a vital ecosystem service in urban agriculture. Yet the environmental drivers of both crop and wild plant pollination in urban agroecosystems are still not well understood. Pollination experiments involve the manipulation of pollen transfer between plants, for instance, to study the effects of pollinators on fruit and seed production (pollination service). In this study, we conducted a pollination exclusion experiment using four experimental plants: two cultivated plant species, strawberry (Fragaria x ananassa) and chili pepper (Capsicum frutescens), and two wild plant species, buttercup (Ranunculus acris) and clover (Trifolium pratense). We placed experimental plants for over 20 days in 13 urban community gardens in Munich, Germany. We compared fruit and seed mass between “open” and “bagged” flowers and tested the effect of biotic factors (floral resources and pollinator diversity) and abiotic factors (urbanization, microclimate) on pollination service (fruit and seed mass) on the experimental plant species. For the two cultivated plants (F. ananassa and C. frutescens), we found that fruit and seed mass were both positively correlated with temperature and pollinator diversity. For the two wild plants (R. acris and T. pretense), we found that floral abundance was negatively related to R. acris seed mass but was positively related to T. pratense seed mass. In summary, we found that biotic and abiotic parameters affected the plant species studied here in different ways, suggesting that there may be synergies and trade-offs in what factors promote the overall pollination of urban plant communities. Our results suggest that gardeners can potentially increase the pollination services on certain garden plants by providing floral resources for pollinating insects.

Abstract Single-molecule localization microscopy techniques are emerging as vital tools to unravel the nanoscale world of living cells by understanding the spatiotemporal organization of protein clusters at the nanometer scale. Current analyses define spatial nanoclusters based on detections but neglect important temporal information such as cluster lifetime and recurrence in “hotspots” on the plasma membrane. Spatial indexing is widely used in video games to detect interactions between moving geometric objects. Here, we use the R-tree spatial indexing algorithm to determine the overlap of the bounding boxes of individual molecular trajectories to establish membership in nanoclusters. Extending the spatial indexing into the time dimension allows the resolution of spatial nanoclusters into multiple spatiotemporal clusters. Using spatiotemporal indexing, we found that syntaxin1a and Munc18-1 molecules transiently cluster in hotspots, offering insights into the dynamics of neuroexocytosis. Nanoscale spatiotemporal indexing clustering (NASTIC) has been implemented as a free and open-source Python graphic user interface.

The cocoa pod borer (CPB) Conopomorpha cramerella (Snellen) (Lepidoptera: Gracillaridae) is one of the major constraints for cocoa production in South East Asia. In addition to cultural and chemical control methods, autocidal control tactics such as the Sterile Insect Technique (SIT) could be an efficient addition to the currently control strategy, however SIT implementation will depend on the population genetics of the targeted pest. The aim of the present work was to search for suitable microsatellite loci in the genome of CPB that is partially sequenced. Twelve microsatellites were initially selected and used to analyze moths collected from Indonesia, Malaysia, and the Philippines. A quality control verification process was carried out and seven microsatellites found to be suitable and efficient to distinguish differences between CPB populations from different locations. The selected microsatellites were also tested against a closely related species, i.e. the lychee fruit borer Conopomorpha sinensis (LFB) from Vietnam and eight loci were found to be suitable. The availability of these novel microsatellite loci will provide useful tools for the analysis of the population genetics and gene flow of these pests, to select suitable CPB strains to implement the SIT.

Labor and employment are important issues in social life. The demand for online job searching and searching for labor regulations in legal documents, particularly regarding the policy for unemployment benefits, is essential. Nowadays, each function has some programs for its working. However, there is no program that combines both functions. In practice, when users seek a job, they may be unemployed or want to transfer to another work. Thus, they are required to search for regulations about unemployment insurance policies and related information, as well as regulations about workers working smoothly and following labor law. Ontology is a useful technique for representing areas of practical knowledge. This article proposes an ontology-based method for solving labor and employment-related problems. First, we construct an ontology of job skills to match curriculum vitae (CV) and job descriptions (JD). In addition, an ontology for representing labor law documents is proposed to aid users in their search for legal labor law regulations. These ontologies are combined to construct the knowledge base of a job-searching and labor law-searching system. In addition, this integrated ontology is used to study several issues involving the matching of CVs and JDs and the search for labor law issues. A system for intelligent resume searching in information technology is developed using the proposed method. This system also incorporates queries pertaining to Vietnamese labor law policies regarding unemployment and healthcare benefits. The experimental results demonstrate that the method designed to assist job seekers and users searching for legal labor documents is effective.

Purpose – In an era of global competition, firms need to collaborate for long-term benefits. Researchers have investigated the linkages between supply chain collaboration (SCC), customer satisfaction and loyalty. However, little attention has been paid to these linkages in the home electronics sector. This study attempts to investigate the impacts of SCC on firms' competitive advantage, customer satisfaction and customer loyalty in the home electronics sector of Vietnam. Design/methodology/approach – Besides aggregation of literature review, the authors conducted an experimental study with a sample of 300 customers who bought household electronic appliances in the first six months of 2021 in Hanoi city, Vietnam. In this study, structural equation modelling (SEM) was used to analyse the hypotheses. Findings – The findings indicate that SCC has a positive impact on competitive advantage, increasing customer satisfaction and loyalty in the home electronics sector. Evidence also revealed that competitive advantage can be enhanced through information sharing, decision synchronisation and incentive alignment. Originality/value – This study can be applied to foster a more effective collaboration approach amongst supply chain members in the household electronic appliances sector, which, in turn, will increase competitiveness, customer satisfaction and loyalty.

IntroductionThe automated collection of phenotypic measurements in livestock is of interest to both researchers and farmers. Real-time, low-cost, and accurate phenotyping can enhance precision livestock management and could lead to the optimized utilization of pasture and breeding of efficient animals. Wearable sensors provide the tools for researchers to develop novel phenotypes across all production systems, which is especially valuable for grazing conditions. The objectives of this study were to estimate the repeatability and heritability of traits related to grazing and rumination activities and their correlations with other traits.MethodsThis study was conducted on a commercial Merino farm in the west of Victoria, Australia, from 4 May 2020 to 29 May 2020. A total of 160 ActiGraph sensors embedded in halters were attached to the left side of the muzzles of Merino sheep (M = 74, F = 86) aged 10–11 months while the sheep were grazing on pasture. Support vector machine (SVM) algorithms classified the sensor output into the categories of grazing, rumination, walking, idle, and other activities. These activities were further classified into daily grazing time (GT), number of grazing events (NGE), grazing length (GL), rumination time (RT), number of rumination events (NRE), rumination length (RL), walking time (WT), and idle time (IT). The data were analyzed using univariate and bivariate models in ASReml-SA to estimate the repeatability, heritability, and phenotypic correlations among traits.ResultsThe heritability of GT was estimated to be 0.44 ± 0.23, whereas the other traits had heritability estimates close to zero. The estimated repeatability for all traits was moderate to high, with the highest estimate being for GT (0.70 ± 0.03) and the lowest for RT (0.44 ± 0.03). The intraclass correlation or repeatability at a 1-day interval (i.e., 2 consecutive days) was high for all traits, and steadily reduced when the interval between measurements was longer than 1 week.DiscussionThe estimated repeatability for the grazing traits showed that wearable sensors and SVM methods are reliable methods for recording sheep activities on pasture, and have a potential application in the ranking of animals for selective breeding.

This work is related to the synthesis of silver-doped bioactive glass material 60SiO2-33CaO-4P2O5-3Ag2O by the modified sol-gel method based on hydrothermal reaction. Several physical-chemical methods such as TG-DSC, XRD, SEM, and TEM were used to evaluate the synthetic bioglass. TG-DSC shows that the processing temperature to form bioglass from dried gel is at 600 oC. XRD confirms the formation of silver crystalline phase on the amorphous phase of glass. SEM and TEM show the porous structure of the glass material containing nano-sized particles. Experiment with cells showed good biocompatibility of the bioglass material with the fibroblast L929 cell-line. Ag-doped bioglass material was mixed to make toothpaste with excellent antibacterial property. All Staphylococcus aureus and Pseudomonas aeruginosa bacteria were destroyed when exposed to toothpaste containing bioglass.

Bleaching of red clay is carried out by reacting iron-containing clay with the system of two reducing agents Na2S2O4, and NaBH4, in an acidic environment. The treatment process is performed with the help of ultrasonic equipment, as well as mixing operations performed at high temperature. Several physical-chemical methods such as XRF, XRD, and FTIR were used to evaluate clay samples before and after treatment. The results showed effective iron-removal in red clay. Comparison of whiteness between the processed sample and the original sample is performed by measuring parameters in the CIE L*a*b* color-system. The analysis shows that the whiteness of the treated sample reached 78.72%, showing that the treated clay has clearly improved its whiteness, and can be applied in making high-end ceramic products that require the clay with high whiteness.

Air pollution is a growing environmental problem worldwide. Compelling epidemiological evidence shows that people spend more than 80% of their time indoors, and extensive studies have shown that indoor air pollution has an equal or greater impact on health when compared. with the surrounding environment. This article determines that the level of indoor fine dust pollution with PM2.5 and PM10 is quite high and changes over the seasons. Winter has the highest concentration, specifically PM2.5 accounting for 54g/m3, PM10 accounting for 97g/m3. The model for treating indoor dust with negative ions initially showed positive results with an efficiency of 70-84.8% at a device height of 75cm. This is the basis for further detailed research on fine dust treatment with negative ions.

The epidemic of the novel coronavirus disease (COVID-19) that started in 2019 has evoked an urgent demand for finding new potential therapeutic agents. In this study, we performed a molecular docking of anti-HIV drugs to refine HIV protease inhibitors and nucleotide analogues to target COVID-19. The evaluation was based on docking scores calculated by AutoDock Vina and top binding poses were analyzed. Our results suggested that lopinavir, darunavir, atazanavir, remdesivir, and tipranavir have the best binding affinity for the 3-chymotrypsin-like protease of COVID-19. The comparison of the binding sites of three drugs, namely, darunavir, atazanavir and remdesivir, showed an overlap region of the protein pocket. Our study showed a strong affinity between lopinavir, darunavir, atazanavir, tipranavir and COVID-19 protease. However, their efficacy should be confirmed by in vitro studies since there are concerns related to interference with their active sites.

Several previous studies in the field of assisted reproduction have focused on the use of blood gel derivatives, such as platelet-rich fibrin (PRF), as a treatment for endometrial rehabilitation. However, the ability to release growth factors and the gel form of this product led to the evolution of platelet lysates. In this study, blood gel derivatives, including PRF lysate, which was in liquid form, and PRF gel, were collected and evaluated for growth factors. It was shown to be effective in endometrial wound healing and regeneration in mouse injured uterine tissue models through structure and function (pinopode expression, embryo implantation) evaluation. The results demonstrated that the concentrations of growth factors, including PDGF-AB and VEGF-A, were higher in the PRF lysate compared to the PRF gel (p < 0.05). PRF lysate could release these growth factors for 8 days. Furthermore, both PRF gel and PRF lysate restored the morphology of injured endometrial tissues in terms of luminal and glandular epithelia, as well as uterine gland secretory activity. However, the presence of pinopodes and embryonic implantation were only observed in the PRF lysate group. It can be concluded that PRF lysate promotes wound healing in mouse injured tissue models in vitro, which can act as healing products in tissue repair.

Recent small-scale studies for pixel-wise labeling of potential landslide areas in remotely-sensed images using deep learning (DL) showed potential but were based on data from very small, homogeneous regions with unproven model transferability. In this paper we consider a more realistic and practical setting for large-scale heterogeneous landslide data collection and DL-based labeling. In this setting, remotely sensed images are collected sequentially in temporal batches, where each batch focuses on images from a particular ecoregion, but different batches can focus on different ecoregions with distinct landscape characteristics. For such a scenario, we study the following questions: (1) How well do DL models trained in homogeneous regions perform when they are transferred to different ecoregions? (2) Does increasing the spatial coverage in the data improve model performance in a given ecoregion? and (3) Can a landslide pixel labeling model be incrementally updated with new data, but without access to the old data and without losing performance on the old data? We address these questions by developing a mechanism for incremental training of semantic segmentation models. We call the resulting extension task-specific model updates (TSMU). A national compilation of landslide inventories by the U.S. Geological Survey (USGS) was used to develop a global database for this study. Our results indicate that the TSMU framework can be used to aid in the creation of new landslide inventories or expanding existing datasets, and also to rapidly develop hazard maps for situational awareness following a widespread landslide event.

Background. In this study, we evaluate the rate of CLNM and related factors in patients with cN0 PTC undergoing transoral endoscopic thyroidectomy vestibular approach (TOETVA), a feasible and safe procedure that is widely approved for early stage PTC patients. Method. A cross-sectional study was performed on 346 patients who underwent TOETVA due to thyroid cancer in the Department of Oncology and Palliative Care, Hanoi Medical University Hospital, from January 2020 to December 2021. The clinical, surgical, and pathological characteristics were recorded. Results. The mean age was 36.1 ± 9.1 (13–67) years. Females accounted for 96%. Total thyroidectomy was applied in 55 cases (15.9%), and conservative thyroidectomy accounted for 291 (84.4%). The median number of harvested lymph nodes in ipsilateral and bilateral CND groups is 5 (IQR: 3–7) and 7 (IQR: 3–10). The median number of metastasized lymph nodes in these two groups is 2 (IQR: 1–3) and 3 (IQR: 2–6), respectively. The rate of CLNM was 39.9%. Thyroiditis increased the number of harvested lymph nodes: 8.3 ± 0.7 (1–24) nodes, p=0.002. Tumor size on ultrasound, young age (

Amyloidosis is often known as “the great imitator,” as the clinical diagnosis of AL amyloidosis is quite challenging and often delayed, given multi-organ involvement. We present a unique case of an elderly male who presented with an eight-month history of progressive lower extremity edema and dyspnea and was admitted for syncope, anasarca, and severe dyspnea. He was diagnosed with renal failure, nephrotic syndrome, a large renal mass, and severe non-ischemic cardiomyopathy. A renal resection was performed, and renal cell carcinoma (RCC) and light chain (AL) amyloidosis were diagnosed.

AbstractTraditional craft villages are becoming more popular as cultural tourism destinations since they preserve and represent indigenous people’s culture and lifestyles while also contributing significantly to the economy. Along with the current surge in visitors, traditional villages must improve service quality components to strengthen their attractiveness and competitiveness. To analyze the quality of tourism services given by the places, the study was done in Da Nang, a city in Vietnam’s central region with various unique traditional craft villages. In this study, the research paradigm “Importance—Performance Analysis” (IPA) was used and converted with “SERVQUAL.” A total of 120 tourists who had previously visited Da Nang’s traditional craft villages were surveyed. The findings suggest that tourists place a high value on indices showing the importance of tourism service quality, but they undervalue performance. Overall, the article advises and proposes four group solutions based on priority levels in order to improve and further expand the quality of services in traditional craft villages in Da Nang city.

This paper analyzes the impact of US firms’ equity risk on bank lending standards and on the macroeconomy for two groups: small and medium-large firms. The results indicate that a higher level of firm risk leads to a higher percentage of banks tightening their lending standards on commercial and industrial (C&I) loans, with a much larger effect for medium-large firms. The finding provides support for the Risk Management Hypothesis, under which banks decrease lending to risky borrowers to reduce credit risk. In addition, we found a one-for-one relationship between firm equity risk and C&I loan spread, signaling the channel of how firm risk transfers through the banking system to the rest of the economy. Finally, the impacts of an increase in firm risk on bank lending standards and the economy are amplified in a recession compared to an expansion.

Objectives: The transformational leadership style is accepted as suitable for leading administrative agencies to achieve outstanding results and help organizations cope with challenges. Besides, leadership thinking is also considered to have a very important role in leadership performance in administrative agencies. Therefore, the main objective of the study is to explore the relationship between transformational leadership style and leader thinking to organization's performance. Methods: The article focuses on explaining the views on transformational leadership style, healthy thinking, and the relationship between transformational leadership style and leadership thinking, and at the same time points out the current status of transformational leadership style, transformational leadership, leadership thinking as well as this relationship in practice among the leaders of provincial agencies in Vietnam. Descriptive, inductive, deductive, synthetic, and quantitative statistical methods were applied to interpret the results. Findings: Research results show that transformational leadership style, leadership thinking in the team of leaders of provincial agencies is quite average, there is a strong positive correlation between transformational leadership style. In contrast to leadership thinking, a more transformative leadership style means that it requires an innovative leadership thinking. Novelty:The results achieved when applying a transformational leadership style are quite closely related to the application of leadership thinking to solve leadership challenges. Doi: 10.28991/esj-2021-01307 Full Text: PDF

The introduction of mRNA-based COVID-19 vaccinations has been useful in decreasing risks of severe illness with COVID-19 infection. Cardiac tamponade is a rare cardiovascular emergency that has been observed following both mRNA-based COVID-19 vaccinations and COVID-19 infections. We report the first case of a hemorrhagic pericardial effusion with cardiac tamponade in a 52-year-old woman occurring one week following the second dose of the BNT162b2 (BioNTech/Pfizer) SARS-CoV-2 vaccination. The time sequence in this case report correlates with reports submitted to the Vaccine Adverse Event Reporting System (VAERS), which indicates that cases of pericarditis following mRNA vaccination most commonly occur within 1-2 weeks following the second dose of vaccination.

Despite its importance, abnormal interactions between the proximal and distal upper extremity muscles of stroke survivors and their impact on functional task performance has not been well described, due in part to the complexity of upper extremity tasks. In this pilot study, we elucidated proximal–distal interactions and their functional impact on stroke survivors by quantitatively delineating how hand and arm movements affect each other across different phases of functional task performance, and how these interactions are influenced by stroke. Fourteen subjects, including nine chronic stroke survivors and five neurologically-intact subjects participated in an experiment involving transport and release of cylindrical objects between locations requiring distinct proximal kinematics. Distal kinematics of stroke survivors, particularly hand opening, were significantly affected by the proximal kinematics, as the hand aperture decreased and the duration of hand opening increased at the locations that requires shoulder abduction and elbow extension. Cocontraction of the extrinsic hand muscles of stroke survivors significantly increased at these locations, where an increase in the intermuscular coherence between distal and proximal muscles was observed. Proximal kinematics of stroke survivors was also affected by the finger extension, but the cocontraction of their proximal muscles did not significantly increase, suggesting the changes in the proximal kinematics were made voluntarily. Our results showed significant proximal-to-distal interactions between finger extension and elbow extension/shoulder abduction of stroke survivors exist during their functional movements. Increased cocontraction of the hand muscles due to increased neural couplings between the distal and proximal muscles appears to be the underlying mechanism.

The problem of the "Dutch disease" and the impact of the raw materials complex and its export component on the economic development of Russia are actualized today in the context of the pressure of international economic sanctions on the Russian economy, when the Russian society has to solve problems that were characteristic of the Soviet Union, we mean, first of all, import substitution. In this regard, we need to understand how negatively the impact of energy exports on the socio-economic development of Russia was, while answering the question, was this development abnormal or, if so, due to what factors? Obviously, the crises in Russia in the 1990s and 2009–2011 had a nature weakly associated with raw material specialization. The purpose of this work is to identify the impact of energy exports on the economic development of Russia in retrospect with the construction of a long-term forecast of GDP growth in the Russian Federation in the context of the development of international economic sanctions. Accordingly, the objectives of the study include: to determine how economic growth in the post-Soviet period before the imposition of sanctions was affected by oil exports; secondly, to what extent oil exports influenced innovative development; thirdly, to create a predictive model for the growth of the Russian economy in the context of international sanctions (the situation with the embargo on Russian oil exports to the West). The subject of the study is the impact of oil exports on the socio-economic development of Russia, the object is the macroeconomic situation in Russia before and after international economic sanctions.

CRISPR-Cas9 is a gene editing tool that can be used to modulate gene expression. Here, the authors report the generation of a mouse model that express all components of the CRISPR-Cas9 guide directed Synergistic Activation Mediator (SAM), demonstrate that gene activation can be achieved with various delivery methods and include generation of a disease model of hypercholesterolemia

The Shapley value has become popular in the Explainable AI (XAI) literature, thanks, to a large extent, to a solid theoretical foundation, including four “favourable and fair” axioms for attribution in transferable utility games. The Shapley value is probably the only solution concept satisfying these axioms. In this paper, we introduce the Shapley value and draw attention to its recent uses as a feature selection tool. We call into question this use of the Shapley value, using simple, abstract “toy” counterexamples to illustrate that the axioms may work against the goals of feature selection. From this, we develop a number of insights that are then investigated in concrete simulation settings, with a variety of Shapley value formulations, including SHapley Additive exPlanations (SHAP) and Shapley Additive Global importancE (SAGE). The aim is not to encourage any use of the Shapley value for feature selection, but we aim to clarify various limitations around their current use in the literature. In so doing, we hope to help demystify certain aspects of the Shapley value axioms that are viewed as “favourable”. In particular, we wish to highlight that the favourability of the axioms depends non-trivially on the way in which the Shapley value is appropriated in the XAI application.

This article introduces the “Into Art Hills” project in Dalat, Vietnam, a vibrant, multi-disciplinary community public artistic experience which brings together contributions by artists, experts, the local government and residents. The slogan for the project and event is "art connects us" and fulfils on its promise to connect artist groups domestically and internationally with the local community while at the same time supporting Vietnam's development to become a more sustainable cultural and creative place. "Into Art Hills" Project in Dalat also promotes local tourism and the improvement of social interaction as well as raising awareness via contemporary arts.

Objective: To evaluate the anti-arthritic effects of Polygonatum kingianum rhizome extract using both in vitro and in vivo models. Methods: Lipopolysaccharide-induced RAW 264.7 macrophages were treated with an ethanol extract of Polygonatum kingianum rhizomes at different concentrations to determine nitric oxide and prostaglandin E2 (PGE2) production. For in vivo study, Polygonatum kingianum ethanol extract was further investigated for its antiinflammatory effect in a mouse model with collagen antibody-induced arthritis. Phytochemical study of Polygonatum kingianum ethanol extract was also performed. Results: Saponins (142 mg/g total yield) was the main component in the Polygonatum kingianum ethanol extract. 5α,8α-ergosterol peroxide, (E,E)-9-oxooctadeca-10,12-dienoic acid and 3-(2’-hydroxy-4’-methoxy-benzyl)-5,7-dihydroxy-8-methyl-chroman-4-one were isolated from the extract. Polygonatum kingianum ethanol extract exhibited potential anti-inflammatory effects by inhibiting nitric oxide and PGE2 production in RAW 264.7 cells in a dose-dependent manner. The level of arthritis in mice with collagen antibody-induced arthritis was significantly reduced (P

In the title compound, C17H21NO4S, the 1,4-dihydropyridine ring has an envelope conformation with the Csp3 atom at the flap. The thiophene ring is nearly perpendicular to the best plane through the 1,4-dihydropyridine ring, the dihedral angle being 82.19 (13)°. In the crystal, chains running along the b-axis direction are formed through N—H...O interactions between the 1,4-dihydropyridine N atom and one of the O atoms of the ester groups. Neighbouring chains are linked by C—H...O and C—H...π interactions. A Hirshfeld surface analysis shows that the most prominent contributuion to the surface contacts are H...H contacts (55.1%).

Despite the increasing applications, demands, and capabilities of drones, in practice they have only limited autonomy for accomplishing complex missions, resulting in slow and vulnerable operations and difficulty adapting to dynamic environments. To lessen these weaknesses, we present a computational framework for deducing the original intent of drone swarms by monitoring their movements. We focus on interference, a phenomenon that is not initially anticipated by drones but results in complicated operations due to its significant impact on performance and its challenging nature. We infer interference from predictability by first applying various machine learning methods, including deep learning, and then computing entropy to compare against interference. Our computational framework begins by building a set of computational models called double transition models from the drone movements and revealing reward distributions using inverse reinforcement learning. These reward distributions are then used to compute the entropy and interference across a variety of drone scenarios specified by combining multiple combat strategies and command styles. Our analysis confirmed that drone scenarios experienced more interference, higher performance, and higher entropy as they became more heterogeneous. However, the direction of interference (positive vs. negative) was more dependent on combinations of combat strategies and command styles than homogeneity.

Shapley values have become increasingly popular in the machine learning literature, thanks to their attractive axiomatisation, flexibility, and uniqueness in satisfying certain notions of ‘fairness’. The flexibility arises from the myriad potential forms of the Shapley value game formulation. Amongst the consequences of this flexibility is that there are now many types of Shapley values being discussed, with such variety being a source of potential misunderstanding. To the best of our knowledge, all existing game formulations in the machine learning and statistics literature fall into a category, which we name the model-dependent category of game formulations. In this work, we consider an alternative and novel formulation which leads to the first instance of what we call model-independent Shapley values. These Shapley values use a measure of non-linear dependence as the characteristic function. The strength of these Shapley values is in their ability to uncover and attribute non-linear dependencies amongst features. We introduce and demonstrate the use of the energy distance correlations, affine-invariant distance correlation, and Hilbert–Schmidt independence criterion as Shapley value characteristic functions. In particular, we demonstrate their potential value for exploratory data analysis and model diagnostics. We conclude with an interesting expository application to a medical survey data set.

Microfluidics is used in many applications ranging from chemistry, medicine, biology and biomedical research, and the ability to measure pH values in-situ is an important parameter for creating and monitoring environments within a microfluidic chip for many such applications. We present a portable, optical fibre-based sensor for monitoring the pH based on the fluorescent intensity change of an acrylamidofluorescein dye, immobilized on the tip of a multimode optical fibre, and its performance is evaluated in-situ in a microfluidic channel. The sensor showed a sigmoid response over the pH range of 6.0–8.5, with a maximum sensitivity of 0.2/pH in the mid-range at pH 7.5. Following its evaluation, the sensor developed was used in a single microfluidic PDMS channel and its response was monitored for various flow rates within the channel. The results thus obtained showed that the sensor is sufficiently robust and well-suited to be used for measuring the pH value of the flowing liquid in the microchannel, allowing it to be used for a number of practical applications in ‘lab-on-a-chip’ applications where microfluidics are used. A key feature of the sensor is its simplicity and the ease of integrating the sensor with the microfluidic channel being probed.

In this study we report efficient method for the syntheses of mono- and diarylated diphenyldithienylethene (DPDTE) via a palladium-catalyzed C–H arylation reaction. These new derivatives showed amplified luminescent properties thanks to a change in polarity, particularly in the presence of an electron-withdrawing groups (EWG). Moreover, the arylated DPDTEs showed dual-emissive phenomena, including fluorescence in organic solvents and aggregation-induced emission.

This study estimates the amount antiretroviral therapy (ART) clients paid out of pocket for preventive and treatment services and the percentage of ART clients incurring catastrophic payments during the period when ART services were transitioning from donor funding to domestic social health insurance (SHI) in Vietnam. Using a cross-sectional facility-based survey in 9 provinces, a sample of 582 clients across 18 ART facilities representatives of all facilities where SHI-financed ART was being implemented were interviewed in 2019. Results indicated 13.4% (95% CI: 5.7%, 28.2%) of clients incurred a payment for outpatient ART care. The average out of pocket expenditures for outpatient visits and HIV related outpatient visits was USD $71.2 and $8 per year, respectively. The average out of pocket expenditure for inpatient admission and HIV related inpatient admission was $7.1 and $1.6, respectively. Only 0.1% clients currently experienced HIV-related catastrophic payment at the 25% of total expenditures threshold. The study confirms the transition from donor-financed ART to SHI-financed ART is not causing financial hardship for ART clients. However, more commitment from the Government of Vietnam to strengthen HIV-related services under SHI may be needed in the future, and there is still need to ensure universal SHI coverage among people with HIV/AIDs in Vietnam.

The coefficient of determination, the R2, is often used to measure the variance explained by an affine combination of multiple explanatory covariates. An attribution of this explanatory contribution to each of the individual covariates is often sought in order to draw inference regarding the importance of each covariate with respect to the response phenomenon. A recent method for ascertaining such an attribution is via the game theoretic Shapley value decomposition of the coefficient of determination. Such a decomposition has the desirable efficiency, monotonicity, and equal treatment properties. Under a weak assumption that the joint distribution is pseudo-elliptical, we obtain the asymptotic normality of the Shapley values. We then utilize this result in order to construct confidence intervals and hypothesis tests for Shapley values. Monte Carlo studies regarding our results are provided. We found that our asymptotic confidence intervals required less computational time to competing bootstrap methods and are able to exhibit improved coverage, especially on small samples. In an expository application to Australian real estate price modeling, we employ Shapley value confidence intervals to identify significant differences between the explanatory contributions of covariates, between models, which otherwise share approximately the same R2 value. These different models are based on real estate data from the same periods in 2019 and 2020, the latter covering the early stages of the arrival of the novel coronavirus, COVID-19.

Abstract Mutations in the tumor suppressor gene BRCA2 (BReast CAncer susceptibility gene 2) predispose carriers to breast, ovarian, and other cancers. In response to DNA damage, BRCA2 participates in homology‐directed DNA damage repair to maintain genome stability. Genome‐wide association studies have identified an association between BRCA2 single nucleotide polymorphisms and plasma‐lipid levels and lipid deregulation in humans. To date, DNA damage, apoptosis, and lipid deregulation are recognized as central pathways for endothelial dysfunction and atherosclerosis; however, the role of BRCA2 in endothelial dysfunction remains to be elucidated. To determine the role of BRCA2 in endothelial dysfunction, BRCA2 was silenced in human umbilical vein endothelial cells (ECs) and assessed for markers of DNA damage, apoptosis, and endothelial function following oxidized low‐density lipoprotein (oxLDL) treatment. OxLDL was found to induce significant reactive oxygen species (ROS) production in BRCA2‐silenced ECs. This increase in ROS production was associated with exacerbated DNA damage evidenced by increased expression and activation of DNA double‐stranded break (DSB) marker γH2AX and reduced RAD51‐foci formation—an essential regulator of DSB repair. Increased DSBs were associated with enhanced expression and activation of pro‐apoptotic p53 and significant apoptosis in oxLDL‐treated BRCA2‐silenced ECs. Loss of BRCA2 in ECs was further associated with oxLDL‐induced impaired tube‐forming potential and eNOS expression. Collectively, the data reveals, for the first time, a novel role of BRCA2 as a regulator of EC survival and function in the setting of oxLDL treatment in vitro. Additionally, the data provide important clues regarding the potential susceptibility of BRCA2 mutation carriers to endothelial dysfunction, atherosclerosis, and other cardiovascular diseases.

The objective of this study is to determine the analytic expressions of the Helmholtz free energy, the equilibrium vacancy concentration, the melting temperature, the jumps of volume, enthalpy the mean nearest neighbor distance and entropy at melting point, the Debye temperature for the BCC defective, the limiting temperature of absolute stability for the crystalline state, and for the perfect binary interstitial alloy. The results obtained from the expressions are combined with the statistical moment method, the limiting condition of the absolute stability at the crystalline state, the Clausius–Clapeyron equation, the Debye model and the Gruneisen equation. Our numerical calculations of obtained theoretical results were carried out for alloy WSi under high temperature and pressure. Our calculated melting curve and relation between the melting temperature and the silicon concentration for WSi are in good agreement with other calculations. Our calculations for the jumps of volume, enthalpy and entropy, and the Debye temperature for WSi predict and orient experimental results in the future.

This work aimed to assist physicians by improving their speed and diagnostic accuracy when interpreting portable CXRs as well as monitoring the treatment process to see whether a patient is improving or deteriorating with treatment. These objectives are in especially high demand in the setting of the ongoing COVID-19 pandemic. With the recent progress in the development of artificial intelligence (AI), we introduce new deep learning frameworks to align and enhance the quality of portable CXRs to be more consistent, and to more closely match higher quality conventional CXRs. These enhanced portable CXRs can then help the doctors provide faster and more accurate diagnosis and treatment planning. The contributions of this work are four-fold. Firstly, a new database collection of subject-pair radiographs is introduced. For each subject, we collected a pair of samples from both portable and conventional machines. Secondly, a new deep learning approach is presented to align the subject-pairs dataset to obtain a pixel-pairs dataset. Thirdly, a new PairFlow approach is presented, an end-to-end invertible transfer deep learning method, to enhance the degraded quality of portable CXRs. Finally, the performance of the proposed system is evaluated by UAMS doctors in terms of both image quality and topological properties. This work was undertaken in collaboration with the Department of Radiology at the University of Arkansas for Medical Sciences (UAMS) to enhance portable/mobile COVID-19 CXRs, to improve the speed and accuracy of portable CXR images and aid in urgent COVID-19 diagnosis, monitoring and treatment.

In the title complexes, trans-(2-aminopyridine-κN)dichlorido{4-ethoxycarbonylmethoxy-3-methoxy-1-[(2,3-η)-prop-2-en-1-yl]benzene}platinum(II), [PtCl2(C5H6N2)(C14H18O4)], (I), and (2-aminopyridine-κN)chlorido{5-ethoxycarbonylmethoxy-4-methoxy-1-[(2,3-η)-prop-2-en-1-yl]phenyl-κC1}platinum(II), [Pt(C14H17O4)Cl(C5H6N2)], (II), the central PtII metal atom displays a distorted square-planar coordination, with the PtII atom coordinated by the pyridine N atom, the C=C double bond of the eugenol ligand and two Cl atoms for (I) or one Cl atom and a C atom of the phenyl ring for (II). The allyl fragment in (I) is disordered, with population parameters 0.614 (14) and 0.386 (14) for the two positions of the central C atom. The least-squares planes through the two aromatic ring systems make a dihedral angle of 51.10 (13)° for (I) and 78.5 (2)° for (II). Intramolecular N—H...O and N—H...π interactions occur in (I). In (I), inversion dimers formed by C—H...Cl interactions are further linked into chains parallel to the b axis by C—H...O hydrogen bonds. Both aromatic rings are involved in π–π interactions, with centroid-to-centroid distances of 3.508 (3) and 3.791 (3) Å. In (II), inversion dimers form chains parallel to the b axis by C—H...O interactions.

Facile synthetic routes for three 4-substituted 2,2′-bipyridine derivatives, 4-[2-(4-methylphenyl)ethynyl]-2,2′-bipyridine, C19H14N2, (I), 4-[2-(pyridin-3-yl)ethynyl]-2,2′-bipyridine, C17H11N3, (II), and 4-(indol-4-yl)-2,2′-bipyridine, C18H13N3, (III), via Sonogashira and Suzuki–Miyaura cross-coupling reactions, respectively, are described. As indicated by X-ray analysis, the 2,2′-bipyridine core, the ethylene linkage and the substituents of (I) and (II) are almost planar [dihedral angles between the two ring systems: 8.98 (5) and 9.90 (6)° for the two molecules of (I) in the asymmetric unit and 2.66 (14)° for (II)], allowing π-conjugation. On the contrary, in (III), the indole substituent ring is rotated significantly out of the bipyridine plane [dihedral angle = 55.82 (3)°], due to steric hindrance. The crystal packings of (I) and (II) are dominated by π–π interactions, resulting in layers of molecules parallel to (30-2) in (I) and columns of molecules along the a axis in (II). The packing of (III) exhibits zigzag chains of molecules along the c axis interacting through N—H...N hydrogen bonds and π–π interactions. The contributions of unknown disordered solvent molecules to the diffraction intensities in (II) were removed with the SQUEEZE [Spek (2015). Acta Cryst. C71, 9–18] algorithm of PLATON. The given chemical formula and other crystal data do not take into account these solvent molecules.

Reliable credit scoring models played a very important role of retail banks to evaluate credit applications and it has been widely studied. The main objective of this paper is to build a hybrid credit scoring model using feature selection approach. In this study, we constructed a credit scoring model based on parallel GBM (Gradient Boosted Model), filter and wrapper approaches to evaluate the applicant’s credit score from the input features. Feature scoring expression are combined by feature important (Gini index) and Information Value. Backward sequential scheme is used for selecting optimal subset of relevant features while the subset is evaluated by GBM classifier. To reduce the running time, we applied parallel GBM classifier to evaluate the proposed subset of features. The experimental results showed that the proposed method obtained a higher predictive accuracy than a baseline method for some certain datasets. It also showed faster speed and better generalization than traditional feature selection methods widely used in credit scoring.

Wireless sensor networks (WSNs) provide a lot of emerging applications. They suffer from some limitations such as energy constraints and cooperative demands essential to perform sensing or data routing. The networks could be exploited more effectively if they are well managed with power consumption since allsensors are randomly deployed in sensing areas needed to be observed without battery recharge or remote control. In this work, we proposed some stochastic-based methods to calculate total power consumption for such networks. We model common arbitrary networks with different types of sensing areas, circular and square shapes, then analyze and calculate the power consumption for data transmission based onstatistic problems. Almost common data collection methods are employed such as cluster-based, tree-based, neighborhood based and random routing. In each method, the total power consumption is formulated and then simulated to be verified. This paper shows promise that all the formulas could be applied not only on WSNs but also mobile sensor networks (MSNs) while the mobile sensors are considered moving at random positions.

The use of antibiotics in livestock production is considered a major driver of antibiotic resistance on a global scale. In Vietnam, small- and medium-scale livestock producers dominate the domestic market and regulatory pushes have done little to decrease antibiotic use. In order to inform future policy directions, this study aims to explore knowledge, attitudes, and practices amongst livestock producers to identify their perspectives on antibiotic use and resistance. A total of 392 small- and medium-scale producers specialized in pig, poultry and aquaculture production participated in the study. The results showed that the primary reason for antibiotic use reported by producers was for the treatment of infections (69%). However, prophylactic use was also evident, with farmers reporting other reasons for antibiotic use such as "animals display abnormal symptoms or behaviour" (55%), the "weather is about to change" (25%), or "animals on neighboring farms fall ill" (27%). Only one-fifth of producers demonstrated favorable attitudes towards antibiotic use and preventing antibiotic resistance. Moreover, administering antibiotics remained the preferred countermeasure directly applied by farmers at the first indication of disease (17%), compared to enacting hygiene (10%) or quarantine (5%) measures. The results showed divergent trends amongst producers, with pig producers demonstrating higher levels of knowledge, more favorable attitudes, and higher self-reported utilization of good practice. Better knowledge, attitudes, and practices were also associated with producers who engaged in efforts to explore information on antibiotic use and resistance, which improved incrementally with the number of sources consulted and hours invested. However, there were some areas where increased knowledge or more favorable attitude scores did not translate into better practices. For instance, producers with higher levels of formal education performed significantly better than those with lower education in terms of knowledge and attitude, though both groups reported similar practices. The findings of this study may support future interventions to prevent both antibiotic misuse and the development of antimicrobial resistance.