Miracle-dz/UniFAR-FTUs huggingface dataset:
Workforce Composition of Public R&D and Performance: Evidence from Korean Government-Funded Research Institutes

How do the organizational attributes of public R&D organizations affect their performance? Recent researchers have focused on the relationship between R&D investments and performance or efficiency, and others suggest that performance may be affected by organizational factors. However, we focus on the attributes of R&D workforce excellence and diversity of R&D workforce, which can affect the performance of public R&D organizations. Therefore, we conduct a panel negative binomial regression and a focus group interview after empirical analysis to derive interpretations and implications. The results show that the effects of the diversity and excellence of an R&D workforce can vary depending on the type of performance: scientific, technological, or social. Overall, we call for a human resources and resource-based approach to consider the importance of R&D workforce composition, specifically diversity and excellence, in evaluating the performance of public R&D organizations.
A Diverse Organizational Culture and Its Impact on Innovative Work Behavior of Municipal Employees

Representatives of municipalities and their management are invited to develop new managerial skills in order to implement modern approaches to management. Diversity management means using the diverse potential of employees to meet the innovation and development goals of the offices. The aim of our research is to examine the context of beliefs, values, and rules of diverse organizational culture (DOC) and innovative work behavior (IWB) through the mediation effect of teamwork climate, transmitting and moderating this direct effect in the environment of Slovak municipalities. A mediation model was applied using the Sobel test for the mediation effect. A series of regression analyses were used to identify the proposed hypotheses. The mediation effect was correctly estimated. The direct effect of the beliefs, values, and rules of DOC has enhanced IWB. However, a certain part of them that leads through teamwork climate slightly dampens IWB.
Urban Vulnerability Assessment for Pandemic Surveillance—The COVID-19 Case in Bogotá, Colombia

A pandemic devastates the lives of global citizens and causes significant economic, social, and political disruption. Evidence suggests that the likelihood of pandemics has increased over the past century because of increased global travel and integration, urbanization, and changes in land use with a profound affectation of society–nature metabolism. Further, evidence concerning the urban character of the pandemic has underlined the role of cities in disease transmission. An early assessment of the severity of infection and transmissibility can help quantify the pandemic potential and prioritize surveillance to control highly vulnerable urban areas in pandemics. In this paper, an Urban Vulnerability Assessment (UVA) methodology is proposed. UVA investigates various vulnerability factors related to pandemics to assess the vulnerability in urban areas. A vulnerability index is constructed by the aggregation of multiple vulnerability factors computed on each urban area (i.e., urban density, poverty index, informal labor, transmission routes). This methodology is useful in a-priori evaluation and development of policies and programs aimed at reducing disaster risk (DRR) at different scales (i.e., addressing urban vulnerability at national, regional, and provincial scales), under diverse scenarios of resources scarcity (i.e., short and long-term actions), and for different audiences (i.e., the general public, policy-makers, international organizations). The applicability of UVA is shown by the identification of high vulnerable areas based on publicly available data where surveillance should be prioritized in the COVID-19 pandemic in Bogotá, Colombia.
Decision tree based ensemble machine learning approaches for landslide susceptibility mapping

Abstract The concept of leveraging the predictive capacity of predisposing factors for landslide susceptibility (LS) modeling has been continuously improved in recent work focusing on computational and machine learning algorithms. This paper explores the predictive capacity of different approaches to LS modelling using artificial intelligence. The key objective of this study is to estimate a LS map for the Taleghan-Alamut basin of Iran using Credal Decision Tree (CDT)-based (i.e. CDT-Bagging, CDT-Multiboost and CDT-SubSpace) hybrid machine learning approaches, which are state-of-the-art soft computing approaches that are hardly ever utilized in the assessment of LS. In this study, we used eighteen landslide predisposing factors (LPFs) that we considered to be the most important local morphological and geo-environmental factors influencing the occurrence of landslides. We calculated the significance of each of the LPFs in the landslide susceptibility assessment using the Random Forest Method. We also employed the Receiver Operating Characteristic curve, precision, performance, map robustness measurement and selection of the best-fitting models. The results shows that, compared to the other models, the CDT-Multiboost is the excellent model in this perspective with an average area under curve (AUC) of 0.993 based on a 4-fold cross-validation. We, therefore, consider the CDT-Multiboost models to be an effective method for improving spatial prediction of LS where landslide scarps or bodies are not clearly identified during the preparation of landslide inventory maps. Therefore, it will be helpful for preparing future landslide inventory maps and mitigate landslide damages.
Highly variable chloroplast genome from two endangered Papaveraceae lithophytes Corydalis tomentella and Corydalis saxicola

Abstract The increasingly wide application of chloroplast (cp) genome super‐barcode in taxonomy and the recent breakthrough in cp genetic engineering make the development of new cp gene resources urgent and significant. Corydalis is recognized as the most genotypes complicated and taxonomically challenging plant taxa in Papaveraceae. However, there currently are few reports about cp genomes of the genus Corydalis. In this study, we sequenced four complete cp genomes of two endangered lithophytes Corydalis saxicola and Corydalis tomentella in Corydalis, conducted a comparison of these cp genomes among each other as well as with others of Papaveraceae. The cp genomes have a large genome size of 189,029–190,247 bp, possessing a quadripartite structure and with two highly expanded inverted repeat (IR) regions (length: 41,955–42,350 bp). Comparison between the cp genomes of C. tomentella, C. saxicola, and Papaveraceae species, five NADH dehydrogenase‐like genes (ndhF, ndhD, ndhL, ndhG, and ndhE) with psaC, rpl32, ccsA, and trnL‐UAG normally located in the SSC region have migrated to IRs, resulting in IR expansion and gene duplication. An up to 9 kb inversion involving five genes (rpl23, ycf2, ycf15, trnI‐CAU, and trnL‐CAA) was found within IR regions. The accD gene was found to be absent and the ycf1 gene has shifted from the IR/SSC border to the SSC region as a single copy. Phylogenetic analysis based on the sequences of common CDS showed that the genus Corydalis is quite distantly related to the other genera of Papaveraceae, it provided a new clue for recent advocacy to establish a separate Fumariaceae family. Our results revealed one special cp genome structure in Papaveraceae, provided a useful resources for classification of the genus Corydalis, and will be valuable for understanding Papaveraceae evolutionary relationships.
Factors Influencing Pregnant Women's Participation in Prenatal Classes in Magetan Regency, Indonesia

Prenatal classes in Indonesia are government’s effort to improve the knowledge and skills of pregnant women. Several factors influence the participation of pregnant women in these classes. This research aimed to identify the factors that correlate with pregnant women’s participation in prenatal classes in several rural villages of Magetan Regency, Indonesia. This observational analytical research was performed quantitatively using a cross-sectional design. Seventy-eight pregnant women meeting the research criteria were included in this study. Data were collected through a questionnaire that has been tested through validity and reliability tests. A binary logistic regression was employed to conduct a statistical analysis. Results showed that supports from family (OR 32.40, p-value < 0.01, 95% CI 4.55–230.64) and from health workers (OR 22.53, p-value < 0.001, 95% CI 3.96–128.19) were significantly associated with the respondent’s participation in prenatal classes after controlling the potential confounding factors such as knowledge, attitudes and information availability.
The relationship between social media use and fear of missing out: A meta-analysis

Social media use and fear of missing out are both common phenomena in our daily life. Numerous studies have discussed the relationship between these two variables, but the results were mixed. Theoretically, there are two main arguments about the relationship between social media use and fear of missing out. To be specific, the social cognitive theory of mass communication suggested that there was a significant positive correlation between the two variables, while the digital goldilocks hypothesis argued that there may be a U-shaped relationship instead of a significant linear correlation between the two. Empirically, the effect sizes of this relationship reported in the existing literature were far from consistent, with r values ranging from 0 to 0.75. Therefore, this meta-analysis was conducted to explore the strength and moderators of the relationship between social media use and fear of missing out. test with fear of missing out. Other moderators such as gender, age, measurement tools of fear of missing out as well as individualism index did not moderate the relation between these two constructs. The results supported the media effect model, which suggested that social media use, especially social media use addiction may be an important risk factor for individuals’ fear of missing out. Longitudinal studies are needed in the future to explore the dynamic relationship between social media use and fear of missing out.
Effectiveness of the Picture Exchange Communication System in Teaching English Vocabulary in Children with Autism Spectrum Disorders: A single-subject study

Abstract The number of children with autism is increasing worldwide. These children like all other children should be provided with equal chances for learning and education. Thus, English language education is not an exception as the need to learn it in today’s world is inevitable. The present study sought to investigate the effect of employing Picture Exchange Communication System (PECS) on English as a foreign language vocabulary learning relying on its effectiveness in first language communication. As a single-subject study an experimental A-B design was employed through repeated measurement. The participants were two high-functioning children with autism aged 9 and 12 at a school for students with special needs. The treatment phase included 15 sessions. An analysis of visual inspection and graphic representation revealed performance improvement in both cases after the intervention. Moreover, some problems while educating the two participants for English vocabulary including lack of cooperation in phase 2, lack of attention and cooperation in mid-intervention, sense problems such as proprioceptive and vestibular are reported through qualitative analysis of the reports made of weekly sessions.
Indigenous peoples’ experiences and preferences in aged residential care: a systematic review

Although the demand for aged residential care increases, low use of aged residential care by Indigenous people raises questions about unrecognised barriers to health care. The objectives of this systematic literature review are to (a) examine current scientific literature that reports older Indigenous people’s experiences in aged residential care and (b) describe critical factors that shape Indigenous people’s preferences in aged residential care settings. We conducted a systematic review of studies using an online search of the literature. A total of 6,233 citations were retrieved, and 45 studies examined in full-text. Eight studies met the study inclusion criteria. Indigenous older people were found to be younger, had higher prevalence of complex health conditions, and were less likely to receive dental and mental health services on admission to aged residential care. Their preferences for care were more likely to be evident in aged residential care facilities where the Indigenous composition of staff reflected the Indigenous makeup of its residents.
Application of free side edges to thickness shear bulk acoustic resonator on lithium niobate for suppression of transverse resonances

This paper discusses the applicability of free side edges to a thickness shear bulk acoustic resonators (TSBARs) on a rotated Y-cut lithium niobate plate for suppression of lateral energy leakage and the transverse mode resonances. It is shown both theoretically and experimentally that free edges are effective to suppress lateral leakage and transverse mode resonances in free-standing TSBARs. Although this technique is applicable only to the X side boundaries, it is shown that the Y′ side perpendicular to the X side can be designed for the piston mode operation independently by the simple two-dimensional analysis ignoring wave propagation toward the X direction. Then the discussion is extended to the solidly-mounted TSBAR. It is shown that this technique works well also for this case, and removal of the first few Bragg layers is enough for the transverse mode suppression.
On the Moderating Effects of Country Governance on the Relationships between Corporate Governance and Firm Performance

This study further empirically examines the influence of board independence on financial performance by using the world’s top 1000 firms. CEO duality and the percentage of independent directors are used as the indicators of board independence. Moreover, this study re-addresses the findings in the literature by giving supplement in theory and conducting tests for the influence of board independence on firm performance as well as the moderating effects of country governance, focusing on regulatory quality and rule of law, with multi-level modeling, a more sophisticated statistical approach. Four hypotheses, based on agency theory and compensation theory, were developed. The results indicated that CEO duality and the percentage of independent directors exerted, respectively, negative and positive influence on Return on Assets (ROA), a firm performance indicator. Furthermore, regulatory quality and the rule of law positively moderated the negative effects of the former and negatively moderated the positive effects of the latter. Some practical implications were discussed based on the results obtained.
Static power model for CMOS and FPGA circuits

Natural Sciences and Engineering Research Council (NSERC) Abstract In Ultra‐Low‐Power (ULP) applications, power consumption is a key parameter for process independent architectural level design decisions. Traditionally, time‐consuming Spice simulations are used to measure the static power consumption. Herein, a technology‐independent static power estimation model is presented, which can estimate static power with reasonable accuracy in much less time. It is shown that active area only is not a good indicator for static power consumption, hence in this model, the effects of transistor sizing, transistor stacking, gate boosting and voltage change are considered. The procedure to apply this model to processors and FPGAs is demonstrated. Across different process technologies, compared to traditional spice simulation, this model can estimate the static power consumption of processor with an error of 1%–4%, while static power consumption of an FPGA system with an error of 1%–15%.
Sorption-induced static mode nanomechanical sensing with viscoelastic receptor layers for multistep injection-purge cycles

Nanomechanical sensors and their arrays have been attracting significant attention for detecting, distinguishing, and identifying target analytes. In the static mode operation, sensing signals are obtained by a concentration-dependent sorption-induced mechanical strain/stress. The analytical models for the static mode nanomechanical sensing with viscoelastic receptor layers have been proposed, while they are not formulated for practical conditions, such as multistep injection-purge cycles. Here, we derive an analytical model of viscoelastic material-based nanomechanical sensing by extending the theoretical model via solving differential equations with recurrence relations. The presented model is capable of reproducing the transient behaviors observed in the experimental signal responses with multistep injection-purge cycles, including drifts and/or changes in the baseline. Moreover, this model can be utilized for extracting viscoelastic properties of the receptor material/analyte pairs as well as the concentrations of analytes accurately by fitting a couple of injection-purge curves obtained from the experimental data. The parameters of the model that best fit the data can be used for predicting the entire signal response.
Spectrum of pigmented lesions of skin: a retrospective study in a tertiary health care of Southern Assam

Background: Pigmented lesions are one of the most common cause for dermatological consultation. Most of them are benign, while a majority of them have malignant transformation and are called as melanoma. A careful histopathological interpretation by the pathologist is needed in the diagnosis and management of these lesions. Aims and objectives of the study were1. To study the spectrum of various pigmented skin lesions. 2. To establish the correlation between the microscopic pathological findings of various skin lesions with the presenting clinical features. Methods: A 3-year study was conducted in the pathology department of tertiary care centre on all skin biopsy tissue which came as pigmented lesion. The entire skin biopsy is submitted for routine processing and embedded in paraffin wax. 3-5 mm thick paraffin sections of the skin biopsy are stained with H and E. Results: Out of 432 skin biopsies studied during this period, 58 cases were diagnosed as pigmented skin lesions. Of these, the biopsy tissue was inadequate in 5 cases while five cases presented with non-specific findings. Of the remaining cases, 15 were malignant and 33 were benign lesions. Only 18 of these were of melanocytic origin with 8 cases of malignant melanoma and 10 nevi. In the present study an analysis of the clinical diagnosis with the histopathological diagnosis revealed a positive correlation in 54% cases. Conclusions: A good clinical correlation and biopsy with histopathological diagnosis is necessary for the accurate diagnosis and definite treatment of patients with pigmented skin lesions.
Rapid Warming of Sea Surface Temperature along the Kuroshio and the China Coast in the East China Sea during the Twentieth Century

: It has been reported that the sea surface temperature (SST) trend of the East China Sea during the twentieth centurywasacoupleoftimeslargerthantheglobalmeanSSTtrend.However,thedetailedspatialstructureoftheSSTtrendinthe EastChinaSeaanditsmechanismhavenotbeenunderstood.ThepresentstudyexaminestheSSTtrendintheEastChinaSeafrom 1901 to 2010 using observational data and a Regional Ocean Modeling System (ROMS) with an eddy-resolving horizontal resolution. A comparison among two observational datasets and the model output reveals that enhanced SST warming occurred along theKuroshioandalongthecoastofChinaoverthecontinentalshelf.Inbothregions,theSSTtrendswerethelargestinwinter.The heat budget analysis using the model output indicates that the upper-layer temperature rises in both regions were induced by the trend of ocean advection, which was balanced in relation to the increase of surface net heat release. In addition, the rapid SST warmingalongtheKuroshiowasinducedbytheaccelerationoftheKuroshio.Sensitivityexperimentsrevealedthatthisacceleration waslikelycausedbythenegativewindstresscurlanomaliesovertheNorthPaciﬁc. Incontrast,theenhancedSSTwarmingalongthe China coast resulted from the ocean circulation change over the continental shelf by local atmospheric forcing.
TGF-β and CCL18 as indicators for predicting and monitoring the development of pulmonary fibrosis in patients with COVID-19

Background Many COVID-19 patients have been discharged, but lung injury, including pulmonary fibrosis, might lead to long-term impairment. This study aimed to evaluate predictors and monitors of pulmonary fibrosis in patients with COVID-19. Methods Thirty-five convalescent patients with severe COVID-19, after appropriate medical treatments, were recruited. According to evidence of fibrosis on initial computed tomography (CT), the patients were divided into mild-to-moderate and severe groups. Levels of transforming growth factor beta (TGF-β), chemokine ligand 18 (CCL18), type III procollagen peptide (PⅢP), hyaluronic acid (HA), laminin (LN), and type IV collagen (CⅣ) were determined. Laboratory tests, clinical data, and CT features at different stages were collected and analyzed, and the prognostic performance of these parameters was evaluated. Results Severe fibrosis was found in 76.29% (26/35) of patients. However, most baseline laboratory characteristics were normal. Fibrosis indicators (TGF-β: 66.67 ± 158.57 vs 55.84 ± 126.43 pg/mL, P = 0.006; CCL18: 364.27 ± 167.70 vs 84.47 ± 60.67 ng/mL, P = 0.000; PⅢP: 54.12 ± 55.34 vs 17.15 ± 2.48 ng/mL, P = 0.000; HA: 122.47 ± 78.84 vs 59.74 ± 18.01 ng/mL, p = 0.000; LN: 55.43 ± 46.44 vs 24.25 ± 7.79 ng/mL, P = 0.000; CⅣ: 24.77 ± 14.97 vs 15.32 ± 1.15 ng/mL, P = 0.001) were elevated in patients compared with controls. Over 90 days’ follow-up, HRCT scores gradually decreased from 22.48 ± 16.13 to 10.33 ± 11.11 (P < 0.001), and mMRC scores decreased from 3.27 ± 0.32 to 1.48 ± 0.33, and all fibrosis indicators, except for PⅢP, gradually declined with the improvement of pulmonary fibrosis. Moreover, TGF-β and CCL18 levels were lower in the mild-to-moderate than severe fibrosis group (88.16 ± 97.45 vs 205.93 ± 170.57 pg/mL, P = 0.024; 241.84 ± 125.37 vs 366.64 ± 161.06 ng/mL, P = 0.038), and patients with elevated baseline levels of serum TGF-β and CCL18 had longer rehabilitation times. Conclusions TGF-β and CCL18 may be promising biomarkers for predicting and monitoring the development of pulmonary fibrosis in patients with COVID-19.