Miracle-dz/UniFAR-FTUs huggingface dataset:
Pengaruh Intellectual Capital Terhadap Kinerja Keuangan Perusahaan Industri Manufaktur Di BEI

The purpose of this study is to find out whether the factors of human capital, structural capital, and capital employed affect financial performance in manufactur companies listed on the Indonesia Stock Exchange in 2016-2018. This research use purposive sampling with total sample 34 data and applying the VAIC methodology to measure the effect of independent variables on dependent variable. Measure of financial performance used in this study is return on assets. The results showed that structural capital and capital employed has a positive effect significantly on financial performance. Human capital do not have effect on financial performance.Tujuan dari penelitian ini adalah untuk mengetahui apakah faktor-faktor human capital, structural capital, dan capital employed mempengaruhi kinerja keuangan perusahaan manufaktur di Bursa Efek Indonesia, tahun 2016-2018. Penelitian ini menggunakan purposive sampling dengan jumlah total sampel 34 data dan menerapkan metode VAIC untuk mengukur pengaruh variabel independen terhadap variabel dependen. Ukuran kinerja keuangan yang digunakan dalam penelitian ini adalah retrun on assets. Hasil penelitian menunjukkan bahwa structural capital, dan capital employed berpengaruh positif terhadap kinerja keuangan perusahaan, tetapi human capital tidak mempengaruhi kinerja keuangan perusahaan.
20. TUE CONCEPT OF INCIPIENT DIABETIC NEPUROPATHY AND TUE LONGITUDINAL COURSE OF MICROi\.LBUMINURIA: EFFECT OF ANTIHYPERTENSIVE INTERVENTION

Diabetic nephropathy is a well-described entity and increased blood pressure or established hypertension is an early finding in the course of this complication [1, 2], which is characterized by proteinuria and linear decline in glomerular filtration rate (GFR). The presence of high blood pressure superimposed on diabetes represents an additional risk factor in insulin-dependent diabetes mellitus (IDDM) patients [3]. Furthermore, the blood pressure level seems to hasten the rate of progression of renal disease [2], and effective antihypertensive therapy can slow the progression rate of overt diabetic nephropathy [2, 4, 5], but unfortunately even optimal antihypertensive treatment, when started in this late stage of nephropathy, cannot stop the decline in GFR but only postpone the development of the uremic stage. Defining an earlier stage in the disease process would therefore be of considerable interest and it appears that persisting microalbuminuria (incipient diabetic nephropathy) is a forerunner of the overt disease. An important hypothesis would be that therapy started in the incipient stage might prove more effective by preventing the fall in GFR. Results from cross-sectional, longitudinal, and intervention studies in patients with incipient diabetic nephropathy, are presented in this chapter.
The effect of the minimum server wage on restaurant guest tipping behavior

ABSTRACT Restaurant server income is predominantly composed of tips received from guests and the minimum server wage received from restaurants. Grounded in equity theory, this study investigated the effect of the minimum server wage, in combination with service quality, familiarity, and perceived fairness, on tipping rate. An online scenario-based 2 (minimum server wage) x 2 (service quality) experimental design was conducted. Results revealed that the minimum server wage and familiarity with tipping have moderating roles on the indirect effect of service quality on tipping rate via perceived fairness of tipping. Findings provide new information to researchers and industry stakeholders on the effects of the minimum server wage on guest tipping behavior.
WELFARE IMPACT OF HIGH-NUTRIENT FOOD PRICE INCREASE ON INDONESIAN HOUSEHOLDS: IS THERE ROLE FROM OWN-FARM PRODUCTION?

Introduction/Main Objectives: Significant price increases in food items and uncertainty in the market probably have a severe impact on society, and especially on low-income households. Background Problems: The increases in food prices could have a large impact on the economy and specifically on households. Thus, this study was conducted to investigate what the demand for food, specifically high-nutrient food items, and the impact on welfare are like in Indonesian households when food prices rise. Novelty: There is a great deal of empirical research into the impact of food price changes on household welfare, however studies that have focused on high-nutrient commodities, in particular on self-produced food, are still limited. Many of the previous studies used cross-sectional data for one period but this study used two-wave longitudinal data. Research Methods: Using a large sample of data from the Indonesian Family Life Survey (IFLS), this study employed the quadratic almost ideal demand system (QUAIDS) to identify the demand pattern and applied compensating variation (CV) to understand the impact of soaring food prices on welfare changes. Findings/Results: Overall, the analysis of the impact notes that when prices increase, all household groups would experience welfare losses. The poorest households would experience less of a welfare loss than the richest households, while a larger welfare loss is suffered by households in Java and rural areas. Conclusion: For the low-income households, having their own productive farms could overcome any economic shocks threatening them. Thus, the government should support small-scale farming through such strategic policies as giving them assistance and training in how to manage a small farm.
Eoanthidium nasicum (Apoidea: Anthidiini) in the Middle East: from microevolution towards speciation?

ABSTRACT Although the anthidiine bee Eoanthidium nasicum is little differentiated structurally, it was found that it is clustered in three units: Anatolia, the Levant and Iran. A Discriminant Function Analysis carried out on 11 morphometric parameters enabled the members of these geographically defined populations to be distinguished: 85.4% of all males and 100.0% of all females could be classified correctly, and together with some features of the colour pattern, it was possible to attribute 100% of all specimens correctly. The abrupt change in the characters between the Anatolian and the Levantine populations without signs of interbreeding and in the absence of strong environmental barriers favouring disruptive selection suggests a secondary contact zone, where mixing is prevented by intrinsic isolating mechanisms. These two populations are given species status: E. nasiculum Pasteels, 1969 stat. n. in Anatolia and E. nasicum in the Levant. On the other side, the divergence between the Anatolian and the Iranian populations seems to be driven by landscape features which have resulted in a less abrupt drifting apart. These two populations are thought still to belong to the same species and are given subspecies status (E. nasiculum nasiculum Pasteels, 1969 and E. nasiculum orientale ssp. n.). http://www.zoobank.org/urn:lsid:zoobank.org:pub:5E4EA8F6-226A-469F-89B9-E3D17DCF78A0
The role of ultrasonography in the evaluation of portal hemodynamics in healthy adults and pathologic conditions

Abstract Introduction: Portal hypertension results from increased resistance to the portal blood flow. The ultrasound represents a noninvasive tool for assessing the structural and hemodynamic abnormalities in this condition. Objectives: The assessment of the hemodynamic blood flow of the liver and spleen by using Doppler ultrasound in patients with portal hypertension compared with healthy subjects and to identify correlations with the severity of liver cirrhosis and esophageal varices. Materials and Method: This study included 50 patients with liver cirrhosis and 20 healthy subjects as controls. Different correlations were carried out between hemodynamic variables obtained from the Doppler examination and the severity of cirrhosis as assessed by the Child score and the degree of esophageal varices at endoscopy. Results: The portal vein diameter was larger in cirrhotic patients compared with the control group. The mean portal vein velocity and the blood flow were significantly lower in advanced forms of liver cirrhosis. The portal vein congestion index, the pulsatility and resistivity indexes of the hepatic artery were significantly increased in patients with CHILD B and C cirrhosis compared with the control group and patients in CHILD class A. There were no statistically significant differences between the pulsatility and resistivity indexes of the splenic artery in patients with cirrhosis. The liver vascular index was significantly lower in patients with advanced cirrhosis. Conclusions: The ultrasound is a valuable noninvasive tool for cirrhotic patients with portal hypertension. However, it is not sufficiently accurate in differentiating between different classes of cirrhosis or degrees of esophageal varices.
An investigation of endotracheal intubation and alternative intubation devices for use by paramedics in out-of-hospital care

Reference: Taylor, J., Black, S. , Brett, S. , Kirby, K. , Nolan, J.P., Reeves, B.C, Robinson, M. , Rogers, C. , Scott, L.J., South, A. , Stokes, E.A. , Thomas, M. , Voss, S. , Wordsworth, S. and Benger, J.R. (2016) Design and implementation of the AIRWAYS-2 trial: A multi-centre cluster randomised controlled trial of the clinical and cost effectiveness of the i-gel supraglottic airway device versus tracheal intubation in the initial airway management of out of hospital cardiac arrest. Resuscitation. 109 pp. 25-32.
Lip Image Segmentation Based on a Fuzzy Convolutional Neural Network

Research has shown that the human lip and its movements are a rich source of information related to speech content and speaker's identity. Lip image segmentation, as a fundamental step in many lip-reading and visual speaker authentication systems, is of vital importance. Because of variations in lip color, lighting conditions and especially the complex appearance of an open mouth, accurate lip region segmentation is still a challenging task. To address this problem, this article proposes a new fuzzy deep neural network having an architecture that integrates fuzzy units and traditional convolutional units. The convolutional units are used to extract discriminative features at different scales to provide comprehensive information for pixel-level lip segmentation. The fuzzy logic modules are employed to handle various kinds of uncertainties and to provide a more robust segmentation result. An end-to-end training scheme is then used to learn the optimal parameters for both the fuzzy and the convolutional units. A dataset containing more than 48 000 images of various speakers, under different lighting conditions, was used to evaluate lip segmentation performance. According to the experimental results, the proposed method achieves state-of-the-art performance when compared with other algorithms.
Integrator’s Coordination on Technological Innovation Performance in China: The Dual Moderating Role of Environmental Dynamism

As the backbone of national strategic development, Complex Product Systems (CoPS) have made great achievements in China, the world’s largest demand market and second largest economy. However, their further development is challenged by the dynamic environment, including the ongoing Sino-US trade friction, for example. The aim of this research is to investigate the influence of the dynamic external environment on CoPS innovation. Based on contingency theory, this study identifies and investigates the moderating effects of technological and market dynamism on the relationship between the integrator’s coordination and its technological innovation performance. Using survey data from 209 CoPS integrator enterprises in China, the findings show that (1) the positive effect of an integrator’s coordination on technological innovation performance is strengthened by technological dynamism, while (2) weakened by market dynamism. In addition, (3) the technological dynamism acts as a higher-order moderating role in inhibiting the negative moderating effect of market dynamism on the main effect in general. Furthermore, (4) an unexpected but inspiring finding shows that the integrator’s coordination facilitates innovation most when both the technology and market dimensions are highly dynamic. This study may indicate that managerial recognition may have significant influence on enterprise’s behavior.
The effect of pollinator insect visitation on flower development and productivity of chilli plant

This research aimed to find out; (1) the pollinator insect diversity of chili plant; and (2) the effect of pollinator insect visitation on flower development and productivity of chili plant. This experimental study was designed with a factorial completely randomized design. The independent variable was visitation of pollinator insect on plant, while the dependent variables were pollinator insect diversity, flower development, and productivity of chili plant. Each treatment consisted of 5 replicating plots, and each plot contained 4 potted plants. Flower development observation was carried out as long as the chili plant flowering. As supporting data were the frequency and longevity of pollinator visiting. The results showed pollinator insects on chili plants were Trigona, Apis, Lasioglossum, and Camponotus. The highest frequency of visitation were Trigona and Camponotus, while the highest longevity was Camponotus. The inhibitory treatment of pollinator insect visitation caused the plant began to flower more slowly and the flower bloomed last longer. The plant was also harvested 2 months slower, and the average number and weight of fruit per plant tended to be lower.
An Investigation into Users’ Perceptions of Value Towards Telemedicine Systems Over Time

Users’ perceptions of telemedicine systems can influence how they are used. However, understandings of the nature of users’ perceptions remain limited. One area seldom examined is perceptions of value. This study aimed to investigate how perceptions of value towards telemedicine systems change over time, the underlying factors that influence them, and how this knowledge can be used to improve usage. A customised telemedicine system was introduced to the Nepean Outreach Service (NOS), Nepean Hospital, Australia. The system was built according to the preferences of medical, nursing and administrative NOS staff. Perceptions of value were assessed using the System Usability Scale (SUS). The factors that influenced them were determined from semi-structured interviews that were based on the SUS. 10 NOS mobile nurses (Mean age = 44.40 years old, SD = 13.13 years, 1 male), with an average of 3.05 years (SD = 2.31 years) of experience with similar technology used the system for the first time for the duration of a single shift in October 2013. Each nurse completed the SUS and semi-structured interview immediately afterwards. In November 2013, the system was implemented for regular use. Minor technical updates were made, including a desktop storage system. 18 months later, 8 of the original 10 nurses (Mean age = 48.50 years-old, SD = 13.3 years, 1 male) with a mean of 5.43 years of experience with similar technology (SD = 2.92 years) answered the SUS and same interview questions again. The results were compared. After first use, the SUS mean was 84.69 (SD = 9.01), indicating excellent usability. This represented high perceived value. After 18 months of consistent use, the SUS mean significantly declined to 64.00 (SD = 14.25), indicating OK usability (p < 0.05, 95% CI). This represented a significant reduction in perceived value over time. Analysis of individual SUS questions showed that over time, users had less desire to use the system frequently (p < 0.05, 95% CI). They found it more complex (p < 0.05, 95% CI), the functions to be not as well integrated (p < 0.05, 95% CI) and had a stronger sense of inconsistency in it (p < 0.05, 95% CI). The meaning of these findings was further clarified in the analysis of interview data.
Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Technological Innovation and Discrimination in Household Finance

Technology has changed how discrimination manifests itself in financial services. Replacing human discretion with algorithms in decision-making roles reduces taste-based discrimination, and new modeling techniques have expanded access to financial services to households who were previously excluded from these markets. However, algorithms can exhibit bias from human involvement in the development process, and their opacity and complexity can facilitate statistical discrimination inconsistent with antidiscrimination laws in several aspects of financial services provision, including advertising, pricing, and credit-risk assessment. In this chapter, we provide a new amalgamation and analysis of these developments, identifying five gateways whereby technology induces discrimination to creep into financial services. We also consider how these technological changes in finance intersect with existing discrimination and data privacy laws, leading to our contribution of four frontlines of regulation. Our analysis concludes that the net effect of innovation in technological finance on discrimination is ambiguous and depends on the future choices made by policymakers, the courts, and firms.
Characterization of symmetric distributions based on concomitants of ordered variables from FGMs family of bivariate distributions

Several characterization results of a symmetric distribution based on concomitants of order statistics as well as k-records from Farlie-Gumbel-Morgenstern (FGM) family of bivariate distributions are established. These include characterizations of a symmetric distribution on the basis of equality in distribution, moments, R? nyi and Tsallis entropies of concomitants of upper and lower order statistics, also in terms of the same properties of concomitants of upper and lower k-records.
Meta-analysis: The effect of problem-based learning on students’ critical thinking skills

This meta-analysis aims to summarize the results of research on the effect of problem-based learning in improving students’ critical thinking on physics, chemistry and biology subjects. The influence of large size (ES) on average, the percentage of influence based on learning to the critical is greatest and the relationship between variables towards improving students’ critical thinking skills in science (physics, chemistry, and biology). The research method used is descriptive with the form of survey research. In the study, studies, which can be meta-analysed concerning predefined criteria, were examined and 98 studies fulfilling these criteria were identified. The results of the data analysis resulted in an effect size of 1.2 with an effect of 83.45%. From the relationship between the variables obtained, Based on Based Learning in enhancing the ability of politics Entrepreneurs who best apply it during physics lessons, with the effect size of 1.36 categories is very high and provides an influence of 90%. In the future, it is expected that the results of this study can be a reference to review the application of PBL to improve students’ critical thinking skills in science learning.
Atypical language development matters: A commentary on Ambridge (2020)

This commentary critiques Ambridge’s radical exemplar model of language acquisition using research from the Longitudinal Study of Early Language, which has tracked the language development of 30+ children with Autism Spectrum Disorders (ASD) since 2002. This research has demonstrated that the children’s capacity for abstraction at the grammatical level is not reducible to their lexical or pragmatic abilities. Moreover, the children’s capacity for generalization at the lexical semantic level is more impaired than their grammatical abstractions. These findings cannot be accounted for by Ambridge’s model of stored exemplars and domain-general analogizing.
TEXTILE FINISHING WITH CHITOSAN AND SILVER NANOPARTICLES AGAINST Escherichia coli ATCC 8739

Cevreyi ve insan sagligini koruyan antibakteriyel malzemelerle bitim islemi son yillarda onem kazanmaktadir. Bu calismanin amaci da 1) kitosani nano-gumus (Ag) kaplamalar icin baglayici olarak kullanarak yeni nesil antibakteriyel apreler gelistirmek, 2) karides ve kerevitlerden uretilen kitosanin tekstil uretimi icin uygulanabilirligini belirlemek ve 3) cevre dostu tekstil uretimine katkida bulunmaktir. Calismada, karides ve kerevit atiklarindan uretilen kitosan, Ag nanopartikullerinin kumas yuzeylerine baglanmasinda yapiskan olarak kullanilmistir. Nano-Ag partikullerinin kitosan araciligiyla kumas yuzeylerine baglanma ozellikleri Fourier donusumlu kizilotesi spektroskopi (FTIR), Taramali elektron mikroskobu (SEM) ve Enerji dagilimli x isini (EDX) analizleri ile incelenmistir. Kumaslarin Escherichia coli ATCC 8739' ye karsi antibakteriyel aktiviteleri JIS L 1902-2015 standardina gore test edilmistir. Calismanin sonuclari kerevit ve karides kitosanlarinin renksiz bir film olusturdugunu ve Ag nanoparcaciklarini pamuklu kumas uzerine homojen bir sekilde kapladigini gostermistir. Kerevit kitosani ve karides kitosani ile kapli pamuklu kumaslarin antibakteriyel aktivite degerleri sirasiyla, 3,10 ve 5,74 olarak hesaplanirken, kerevit kitosani+nano-Ag ve karides kitosani+nano-Ag ile kaplanmis pamuklu kumaslarin antibakteriyel aktivite degerleri sirasiyla 5,37 ve 5,10 olarak bulundu. E. coli ATCC 8739' ye karsi iyi bir antibakteriyel aktivite sergileyen (% 99,99 azalma) kitosan+nano-Ag kaplamalar, tibbi tekstiller, bebek kiyafetleri ve ic camasirlari gibi giysilerin imalatinda kullanilabilir. Binder olarak kitosanin kullanilmasi, tekstil baskisinda, pigment boyamada, terbiye maddelerinde, kirletici desarjlarinda ve endustriyel kaynakli emisyonlarda kimyasallarin kullanimini azaltabilir. Ayrica, insan ve cevre sagliginin korunmasina yonelik yenilikci cozumler sunar.
Blockchain-Enabled Secure Energy Trading With Verifiable Fairness in Industrial Internet of Things

Energy trading in Industrial Internet of Things (IIoT), a fundamental approach to realize Industry 4.0, plays a vital role in satisfying energy demands and optimizing system efficiency. Existing research works utilize a utility company to distribute energy to energy nodes with the help of energy brokers. Afterwards, they apply blockchain to provide transparency, immutability, and auditability of peer-to-peer (P2P) energy trading. However, their schemes are constructed on a weak security model and do not consider the cheating attack initiated by energy sellers. Such an attack refers to an energy seller refusing to transfer the negotiated energy to an energy purchaser who already paid money. In this article, we propose $\mathsf{FeneChain}$, a blockchain-based energy trading scheme to supervise and manage the energy trading process toward building a secure energy trading system and improving energy quality for Industry 4.0. Specifically, we leverage anonymous authentication to protect user privacy, and we design a timed-commitments-based mechanism to guarantee the verifiable fairness during energy trading. Moreover, we utilize fine-grained access control for energy trading services. We also build a consortium blockchain among energy brokers to verify and record energy trading transactions. Finally, we formally analyze the security and privacy of $\mathsf{FeneChain}$ and evaluate its performance (i.e., computational costs and communication overhead) by implementing a prototype via a local Ethereum test network and Raspberry Pi.
A Risk Reduction Education Intervention for Cardiovascular Risk Factors Among College Students

1 Background and Significance . 3 Theoretical/Conceptual Framework/Process Improvement Model . 5 Review of Literature . 6 Setting . 9 Project Design and Methods. 9 Description of Evidence-Based Intervention . 10 Procedure . 10 Sample. 11 Measures and Instruments . 12 Implementation and Data Analysis. 13 Results . 13 Discussion. 14 Implications for Practice, Education, Policy, and Future Research . 15 Limitations. 16 Conclusion. 16 References . 37 CARDIOVASCULAR RISK REDUCTION EDUCATION INTERVENTION iii