Miracle-dz/UniFAR-FTUs huggingface dataset:
TiO2 Thickness-Dependent Charge Transfer in an Ordered Ag/TiO2/Ni Nanopillar Arrays Based on Surface-Enhanced Raman Scattering

In this study, an ordered Ag/TiO2/Ni nanopillar arrays hybrid substrate was designed, and the charge transfer (CT) process at the metal–semiconductor and substrate–molecule interface was investigated based on the surface-enhanced Raman scattering (SERS) spectra of 4-Aminothiophenol (PATP) absorbed on the composite system. The surface plasmon resonance (SPR) absorption of Ag changes due to the regulation of TiO2 thickness, which leads to different degrees of CT enhancement in the system. The CT degree of SERS spectra obtained at different excitation wavelengths was calculated to study the contribution of CT enhancement to SERS, and a TiO2 thickness-dependent CT enhancement mechanism was proposed. Furthermore, Ag/TiO2/Ni nanopillar arrays possessed favorable detection ability and uniformity, which has potential as a SERS-active substrate.
Bibliometric Trends in Open Surgical and Endovascular Cerebrovascular Research

The last decade has witnessed a major expansion in endovascular interventions concurrent with a contraction of open neurovascular surgeries. Whether research efforts have also shifted from open to endovascular neurosurgery is an effect that has not been explored extensively. Understanding the bibliometric trend is important for researchers, funding agencies, and publishing journals. The aim of this review is to explore this potential shift. We compared the bibliometrics of open cerebrovascular and endovascular research articles published in two neurosurgical journals (Journal of Neurosurgery, Neurosurgery) and two neuroradiological journals (Journal of Neurointerventional Surgery, American Journal of Neuroradiology). Data were collected between September 26, 2021, and October 18, 2021. Articles published in 2011, 2013, 2015, 2017, and 2019 from the journals were screened. Neurovascular articles were classified into open surgical, endovascular, or mixed. Bibliometric parameters were collected via SCOPUS and journals’ websites. A total of 8,018 articles were screened, of which 1,551 were included (16.2% open, 62.2% endovascular, 21.5% mixed). Most articles were related to aneurysms (76%). Open-access status correlated with increased citations (p<0.001) and Altmetric (p<0.001), which measures online activity. Comparing 2011 and 2019, the article distribution (open/endovascular/mixed) has changed significantly (χ2 test, p=0.002), with open articles dropping from 23.6% (68/288) to 12.9% (44/342) and endovascular articles rising from 56.6% (163/288) to 65.8% (225/342). Using the Kruskal-Wallis test, the citation distribution is different across the three groups in 2019 (p<0.001), favoring endovascular articles, but not in the other years. Our study suggests a trend of diminishing open neurovascular research output and increasing endovascular research output, in terms of both the number of articles and the citations. More time for citation accumulation may be required to verify this trend.
Propagation of negative shocks across nation-wide firm networks

This paper examines how negative shocks due to, for example, natural disasters, propagate through supply chains, applying a simulation technique to actual data on supply chains of Japanese firms. We obtained the following five results. (1) Network structures severely affect the speed of propagation in the medium run and total loss in the long run. The scale-free nature of the actual supply chain network, i.e., the power law degree distribution, leads to faster propagation, while dense links between firms within the community in the actual network slow propagation. (2) More intensive damages, i.e., larger damages to fewer firms, result in faster propagation than extensive damages of the same total size. (3) When substitution of undamaged suppliers for damaged suppliers is more difficult to achieve, propagation of negative shocks becomes substantially fast. (4) Direct damages in industrial regions promote faster propagation than those in rural regions. (5) Different sectoral damages cause large differences in the speed of propagation and the long-run loss. All of these results imply that the same size of direct damages by disasters can generate considerably different damages, depending on the structure of the supply chain network in the economy.
AOSID: An analytical solution to the output‐only system identification problem to estimate physical parameters and unknown input simultaneously

This paper studies an analytical solution for the identification problem of linear systems, where inputs are unknown and only output data are accessible. A linear output‐only model (LOM) is developed and employed along with physical constraints in state space to simultaneously identify two subspace models, one of which represents the physical system and the other describes the behavior of the unknown input by reconstructing its history. Inputs are assumed to be an arbitrary combination of harmonic signals with constant or time varying exponential amplitudes with non‐overlapping frequency ranges with natural frequencies of the physical system. The identification is first performed by a zero‐input eigensystem realization algorithm in time domain that estimates the LOM in a generic form; we call it unfixed form, which contains both physical system model and input model in a coupled configuration. By transforming the LOM into a canonical form and utilizing the physical constraints, an analytical approach is developed to decouple the physical model from the input dynamics. The proposed method of analytical output‐only system identification (AOSID) is evaluated through simulation of a set of scenarios to demonstrate its capabilities. To this end, we study the effects of type of sensor models, level of measurement noise, and complexity level of the problem on the estimation error. The accuracy of the identified LOM demonstrates that the AOSID method is capable of simultaneous identification of physical model and unknown inputs in the presence of measurement noise with a considerable accuracy at a modest computational expense. Furthermore, AOSID method demonstrates a considerable robustness against nonlinear inputs and white noise disturbances which challenge the assumptions initially made in the theoretical development of the model.
Chapter 13: Teacher and Student Facing Learning Analytics

Learning analytics systems are increasingly being designed for and implemented in classroom teaching and learning in K-12 and post-secondary contexts. For analytics to play a constructive role, it is important to consider how they are being used by teachers and students and how they can be designed to enhance and complement human decision making. In this chapter, we ﬁrst discuss issues that teachers and students face in the sensemaking of learning analytics systems as well as in the subsequent phase of acting on the information provided by such systems. We then discuss the following aspects for teacher facing and then student facing analytics: (a) theoretical models underlying analytics use; (b) ways analytic systems have been designed and implemented; (c) evidence of impact the systems have had on teaching and learning. The chapter ends with an overarching discussion of challenges that concern both teacher and student facing analytics and introduces the possibilities for co-design of analytics systems to address some of these challenges.
Developing Reading Fluency of Students With Reading Difficulties Through a Repeated Reading Intervention Program in a Transparent Orthography

In transparent orthographic systems, such as the Greek one, reading problems of students with reading disabilities are related mostly to reading fluency rather than to decoding. Consequently, systematic and explicit instruction in reading fluency is considered necessary. Therefore, our major research goal in this study was the development of reading fluency of three second-grade students, who faced severe reading difficulties through a multi-component intervention program. In particular, it was explored whether the use of specially designed texts in conjunction with specific instructional strategies can enhance the reading fluency of students with severe reading difficulties. The intervention followed a within-subject design including pretest /post-test measures without control groups. The intervention program lasted for two months and included 16 individual sessions. Four illustrated books with controlled texts were designed and used within the program. Regarding instructional strategies - model reading, assisted repeated reading, self-monitoring and reinforcement were implemented. Based on the results it was revealed that the intervention program had a high impact on reading fluency in the four instructional texts. Analysis of pretest and post-test scores showed that the intervention program had a different effect for each individual on the measured skills. No effect was recorded for students’ reading fluency. However, the program significantly improved participants’ reading comprehension. Implications and limitations of the study are included in the discussion.
The Effect of Perceived Usefulness and Perceived Ease of Use on Perceived Value and Actual Usage of Technology on the Online Service of Pt. Garuda Indonesia Tbk

This research is designed as the explanatory research, aimed to explain the causal effect of the variables. The target population of this research is the consumer of PT. Garuda Indonesia Tbk. who made an online purchase. The sampling technique used is accidental sampling, with the sample size of 150 respondents. The analysis technique used Structural Equation Modelling (SEM). This study concluded that: (1) perceived usefulness had a significant effect on perceived value; (2) perceived ease of use had a significant effect on perceived value; (3) perceived usefulness had a significant effect on actual usage of technology; (4) perceived ease of use had no significant effect on actual usage of technology; (5) perceived value had a significant effect on actual usage of technology. The novelty of this study is that the consumer of PT. Garuda Indonesia online service will gain many good values since there are many benefits by using PT. Garuda Indonesia services.
APPLICATION OF MANY-FACET RASCH MEASUREMENT IN COMPLEX PROBLEM SOLVING SKILLS IN 2019 NECO PHYSICS ESSAY ITEMS

The study sought to examine application of Many-Facet Rasch Measurement in Complex Problem Solving Skills in 2019 NECO Physics Essay Items. This became necessary because severity / leniency, halo effect and central tendency error can affect scores which need to be satisfied before proper judgement can be made when evaluating student’s scores. The descriptive survey design was employed in this study. The population of the study covers public senior secondary school physics students and physics teachers in Uyo Local Government Area, Akwa Ibom state. 50 physics students and 10 physics teachers were sampled using multistage sampling technique for effective selection. The instrument used in this study was 2019 NECO physics easy questions. However, the reliability coefficient 0.86 was obtained. The findings revealed that the extent of in test scores among raters in the assessment of complex problem-solving skills in 2019 NECO Physics Essay Items was low. Also, there was no halo effect committed among the raters when rating complex problem-solving skills in 2019 NECO Physics Essay Items. We concluded that the extent of severity / leniency exist among raters was low while halo effect was not committed by raters in the rating of complex problem-solving skills in 2019 NECO Physics Essay Items. It was recommended that Raters should be strictly monitored by the head teacher, Principals and the ministry of education during rating process and also, raters should be given adequate training to be aware of these errors and possible way to reduced or avoid these errors.
Energy Saving within Households: How the Antecedents of our Behaviour Influence Energy Consumption

Household energy consumption has drastically increased within the last years, which considerably influences environmental degradation due to the required fossil-fuel burning. Half of the household energy consumption can be associated with direct energy use, meaning the application of electricity or gas. Hence, the antecedents for behaviours requiring direct energy use need to be investigated to construct suitable and tailored interventions to ultimately decrease energy consumption. The aim of the present study was to identify the antecedents that underlie energy-saving behaviour within households. Concretely, it will be investigated if and to what extent the constructs of pro-environmental attitudes, response efficacy, self-efficacy, household size, financial motives, political orientation, and environmental identity relate to energy-saving behaviour within households. For this, a quantitative questionnaire survey design was utilised. One hundred fifty-two participants completed the survey. The results of the regression analysis revealed that only the construct of environmental identity was a significant positive predictor of energy-saving behaviour within households. Although significant correlations have been found between all constructs, except for household size, they did not predict energy-saving behaviour. Lastly, the results have been discussed within existing literature, and future implications were given.
Estimating the Probability of Acting as a Trustee

We discuss a binomial mixture model for estimating the probability of a political representative acting as a delegate or a trustee. The model also returns the probability of congruence of a representative with the national median voter. The estimated probability of congruence strongly correlates with the observed frequency of congruence, which was obtained by matching parliamentary roll-call votes with the will of the median voter revealed in Swiss national referendums on identical legislative proposals. Since our method uses the roll-call votes of political representatives as sole input, it can be used to infer congruence levels of politicians, even if the will of the median voter is unobserved.
HEPATOPROTECTIVE EFFECTS OF AQUEOUS PURSLANE (REJLAH) JUICE IN CARBON TETRACHLORIDE INDUCED HEPATOTOXICITY IN MALE RATS

: Purslane ( Portulaca oleracea L.) in Arabic (Rejlah) is a member of Portulacaceae family and used in folk medicine as antidiabetic and hypotensive plant. The currently study was designed to assess hepatoprotective effects of aqueous purslane juice against CCl 4 -induced hepatotoxicity in rats. Thirty five male albino rats divided into 5 groups, 7 rats each, were used. Group I served as normal group, groups II, III, IV and V were injected subcutaneously with CCL 4 (2 ml/kg) to induce liver toxicity. Group II served as positive group, groups III, IV and V were given orally aqueous purslane juice at doses of 5, 10 and 15 ml/kg of b. wt, respectively. Serum (lipid profile), kidney functions, (liver enzyme) activities; and liver MDA concentration and GSH, SOD and CAT activity were determined. examination of the liver was performed to determine the extent of cells damage induced by CCl 4 . Results showed that rats significant and creatinine, AST, and MDA while compared to normal rats. Aqueous purslane juice significantly improved all of the above parameters which were getting better with increasing the dose of juice. Histopathological assay showed multifocal hepatic cell necrosis, pericentral hepatic cell necrosis and focal area of mononuclear cells infiltration in positive rats and treated rats with 5 and 10 ml/kg b. wt of aqueous purslane juice, respectively. Congested central vein was showed in some livers and apparently normally central veins and hepatocytes in other livers of treated rats with 15 ml/kg b. wt of aqueous purslane juice. In conclusion, purslane juice has hepatoprotective effect against hepatotoxicity in rats. These results affirm that the traditional use of purslane plant for the protection of hepatotoxicity may be beneficial for patients with liver diseases and hence it is worth studying on humans.
Routing Protocol for Heterogeneous Networks in Vehicular Ad-hoc Network for Larger Coverage Area

Vehicles now come equipped with sensors, on-board units, and other processing as well as communication capabilities, thanks to significant advancements in the automobile sector. Intelligent transportation system (ITS) is one the area to explore regarding vehicular ad-hoc networks (VANETs) in the mobility management. Vehicle-to-vehicle communication is becoming more common thanks to VANETs, which eliminate the need for infrastructure, configuration effort, and significant expenses associated with a mobile communication network. Vehicle applications can be used to access internet services in addition to local data exchange. Internet gateways situated on the side of the road enable access. However, internet integration necessitates the vehicle Ad-hoc network's mobility support. The network mobility technique in vehicular Ad-hoc networks will be studied in this research. The pattern will represent the mobility of automobiles from one place to another. In this paper, an algorithm is purposed to reduce handover delay and reduce packet loss, minimize signalling overhead by using the suggested handover strategy.
4.0. Evaluation of demographic and rare clinical characteristics of patients with thoracic carcinoid tumor in Razi and Aria Hospitals of Rasht during

https://doi.org/10.30574/gscarr.2022. 11.2. 0090 Abstract Introduction : Carcinoid tumors are malignant neoplasms of low-malignant neuroendocrine cells. This study tended to evaluate the demographic and rare clinical characteristics of patients with thoracic carcinoid tumor during 2006-2016 at Razi and Aria Hospitals in Rasht. Materials and Methods : The present study was performed on records of 43 patients with lung carcinoid tumors referred to Razi and Aria Hospitals of Rasht during 2006-2019. Information on age, gender, rare clinical symptoms, smoking history, diagnosis tools, treatment and outcome were analyzed. Results : Of the 43 patients treated with definitive diagnosis of carcinoid tumor pathology, 31 patients had typic carcinoid tumor and 12 patients had atypic carcinoma (mean age 43.14±15.16 years). The most common clinical symptom was cough and hemoptysis. Two cases presented with Cushing’s syndrome. The most common diagnostic method in this study was simultaneous use of both CT scan and bronchoscopy. In 95.3% of cases, the tumor manifested as pulmonary and in 4.7% of cases it was extrapulmonary. Right lower lobe was the most common site of tumor involvement and lobectomy was the most frequent surgical procedure performed. Conclusion : based upon our study the most common clinical sign of thoracic carcinoid was cough and the tumor was pulmonary in 95.3% of cases. Right lower lobe was the most common site of involvement and the most frequent surgical procedure performed was lobectomy. The outcome was
Do Auditors Price CEO-CFO Conflict?

We investigate the relation between audit fees and differences in CEO and CFO personality traits. Audit fees should reflect engagement risk associated with a client. This risk is likely influenced by the client’s top management team’s personalities and how they differ. For example, top management teams that experience more disagreement about key strategic decisions may pose higher risks to auditors. We proxy for CEO-CFO conflict by using differences in CEO and CFO “Big Five” personality traits. We examine whether these personality differences help explain audit fees after controlling for other determinants of audit fees in the literature. We find that CEO-CFO personality differences are positively associated with audit fees, consistent with auditors assessing risk from conflicting personalities in the C-suite. This relation is partially mediated by the number of years the CEO and CFO have worked together. The relation between CEO-CFO personality differences and audit fees is moderated by auditor tenure and strong corporate governance. We also find that (i) CEO-CFO personality differences are associated with other measures of audit engagement risk, and (ii) after turnover in the CEO-CFO team, audit fees increase (decrease) in the subsample where personality differences increase (decrease). structure, with the firm set as the grouping variable. GEE uses both within and between firm variation in the data and helps control for unobserved differences across firms (Liang and Zeger, 1986). Our main results remain the same. GEE model results are available upon request.
Employee Self Reliance and Organizational Performance

-----------------------------------------------------------------------------------------------------------------------------------ABSTRACT The study examined employee self-reliance and organizational performance. Self-reliance has the dimensions of self-awareness, self-management, and self-efficacy. The study reviewed data from several literatures related to the study. The study showed that self-awareness corrected with net profit and return on investment. The more self-aware the managers of an organization are the more the organization will improve on its performance. The study also noted that the more the managers of an organization are self-aware the more likely that the organization will improve on the return on investments. Self-management increased the subsequent attendance of trainees, self-management trainees exhibited higher rates of skill generalization and higher overall performance levels on the transfer task and even after the effects of outcomes goals were controlled. The mechanism underlying self-efficacy and individual performance is that individuals who have a strong belief in their capabilities are more likely to succeed in their tasks, because they undertake challenging tasks readily, work harder and persist longer. The study recommended that organizations should create more awareness about the importance of self-awareness to their managers. This can be achieved through effective training of the managers on the competencies of self-awareness.
Recommending Base Image for Docker Containers based on Deep Configuration Comprehension

Docker containers are being widely used in large-scale industrial environments. In practice, developers must manually specify the base image in the dockerfile in the process of container creation. However, finding the proper base image is a nontrivial task because manually searching is time-consuming and easily leads to the use of unsuitable base images, especially for newcomers. There is still a lack of automatic approaches for recommending related base image for developers through dockerfile configuration. To tackle this problem, this paper makes the first attempt to propose a neural network approach named DCCimagerec which is based on deep configuration comprehension. It aims to use the structural configuration features of dockerfile extracted by AST and path-attention model to recommend potentially suitable base image. The evaluation experiments based on about 83,000 dockerfiles show that DCCimagerec outperforms multiple baselines, improving Precision by 7.5%-67.5%, Recall by 6.2%-106.6%, and F1 by 7.5%-150.2%.