Miracle-dz/UniFAR-FTUs huggingface dataset:
The Inﬂuence of GVC Participation and Division of Labor Status on the Comparative Advantage of China’s Wood-Based Panel Industry

: This article innovatively proposes a new display comparative advantage index ( NB *). Based on the characteristics of existing comparative advantage indices and practical research needs, the NB * index can more accurately measure whether a country’s products have comparative advantages among other countries within the selected region, which to some extent expands the research boundary of industrial international competitiveness evaluation indicators. Meanwhile, this article takes China’s wood-based panel industry as an example to calculate the comparative advantage level of China’s wood-based panel industry among Regional Comprehensive Economic Partnership (RCEP) member countries and further explores the impact of global value chain participation and division of labor status on the international competitiveness of the industry. Research has found that, ﬁrstly, although China’s wood-based panel industry has a relatively lower level of comparative advantage among RCEP member countries, it still has a certain level of competitiveness in some developed and developing countries’ markets; Secondly, in terms of the wood-based panel industry, a higher level of global value chain participation can effectively improve the international comparative advantage level of the domestic wood-based panel industry. Thirdly, the level of division of labor in the industrial chain has a signiﬁcant positive impact on the comparative advantage level of China’s wood-based panel industry in RCEP member countries. Therefore, in order to enhance the international competitiveness of the domestic wood-based panel industry, it is necessary to actively participate in the global value chain and continuously move towards a higher level of division of labor in the industry chain.
Predicting and Analysis Electrical Energy Consumption by Using Data Mining Algorithms

In this paper, This study accumulates and presents pertinent data in a variety of formats for the purpose of classifying power consumption by activity. It has been fascinating to determine how to graphically depict each stage and classify electrical data in a way that satisfies all requirements. This facilitates the detection of issues and anomalies and simplifies the process of comparing electricity consumption. In the coming decades, electricity will continue to gain prominence as a primary energy source. Smart circuits and smart meters offer numerous benefits to both the utility and the customer. This study combined classification (specifically five algorithms) and clustering theory, with energy consumption per hour (%) functioning as the common framework, in order to classify electricity use based on the similarities of electrical load profiles. After classifying everyone, we will be able to offer each subset advice on how to save money and energy. Consequently, individuals will be more aware of their electricity consumption and motivated to take steps to reduce it. A post-clustering and classification study that uses Weka for analysis and result generation employs an iterative technique based on computational classification calculation to identify anomalies and reallocate them to more acceptable classes. When compared, Decision Tree, Support Vector Machine, Naive Bayes, Random Forest, and Hybrid are the five classification techniques that yield identical results. Categorizing power consumption permits a deeper understanding of the relationship between human behavior and electricity consumption. It improves the quality of the energy conservation consulting service and the customer experience by providing timely, relevant advice based on the unique characteristics of each individual consumer.
Transactional Causal Consistency For Microservices Architectures

The microservices’ architecture is a software engineering approach that structures an application as a set of loosely coupled services. Each microservice manages a small, cohesive, subset of the domain entities and can be implemented, deployed, and managed independently of other microservices. The execution of a microservice may need to read data items that are managed by other microservices. These read operations can be completed either by doing remote calls or by reading from a local replica (possibly inconsistent) of the data managed by the other microservices, that is updated us-ing some form of publish-subscribe middleware. In any case, there is a possibility of the microservice reading mutually inconsistent versions of data objects, generating consistency anomalies that would never occur in a monolithic system. To correct the effects of these anomalies, programmers often have to develop compensating actions responsible for restoring the consistency of the system. In this work, we propose and evaluate a mediating layer, that we designated 𝜇 TCC , that offers the Transactional Causal Consistency guarantees for microservices’ architectures. Using a version control mechanism, 𝜇 TCC guarantees that different microservices, when executing a given functionality, observe mutually consistent versions of data, thus reducing the number of anomalies. Our experimental evaluation shows that the proposed solution prevents the occurrence of Transactional Causal Consistency anomalies while reducing the overall latency of functionalities by 2 . 63 × , thanks to being able to reduce read transaction abortion frequency and respective re-executions.
Long-Term Outcome in Stroke: The Need of Individualized Follow-Up

Introduction: It is well established that in the long-term, many stroke patients potentially have relevant functional incapacity related to deficits in domains other than motor; the burden of unmet long-term needs likely varies between different types of stroke or different healthcare systems. On the other hand, we can say that the ideal length of follow-up in a specialized consultation after ischemic stroke has not been established. Methods: We evaluated long-term stroke patients who underwent endovascular treatment of anterior circulation in our stroke center and that were classified as “therapeutic success” (modified Rankin scale - mRS <3) at 3 months, to participate in an observational, cross-sectional study. Participants underwent a comprehensive interview and examination using validated standard questionnaires for Portuguese population to assess different life aspects after stroke as Post-Stroke Checklist, EQ-5D-3L scale, mRS, Barthel Index (BI), Burden Scale for Family Caregivers and Hamilton scale. Results: We evaluated 36 patients. The mean age was 67.6 years old (±13,8) and the mean time for the interview was 52,8 (±9,9) months after the stroke. Most patients were independent, with a mean mRS of 1 (ranging from 0–3) and BI 95,4 (70-100). Sixty one percent had a clinically significant deficit in at least one domain. On the Post Stroke Checklist (PSC), 77,8% of participants demonstrated a not good perceived health status. EuroQoL index value was 0.750 (IQR 0.664–1.00). The two major disability parameters identified were in cognition (52,8%) and depression (27,8%). After review of the ongoing care by stroke specialists, in almost 2/3 of the patients, additional measures were proposed: additional etiological investigation (44%), physical or speech rehabilitation (~14%) or changes in pharmacological therapy (~3%). Conclusion: These results highlight the prevalence and importance of non-motor disabilities in long-term stroke patients, even after short-term classification as “therapeutic success”. We also point out that even after more than 3 years of the stroke, additional therapeutic or etiological investigation measures were taken, reinforcing the need for individualized follow-up, without a pre-defined maximum follow-up time in a specialized cerebrovascular pathology consultation.
2 1 Ju l 2 01 6 Hybrid LSH : Faster Near Neighbors Reporting in High-dimensional Space Ninh

We study the r-near neighbors reporting problem (r-NN), i.e., reporting all points in a high-dimensional point set S that lie within a radius r of a given query point q. Our approach builds upon on the locality-sensitive hashing (LSH) framework due to its appealing asymptotic sublinear query time for near neighbor search problems in high-dimensional space. A bottleneck of the traditional LSH scheme for solving r-NN is that its performance is sensitive to data and query-dependent parameters. On datasets whose data distributions have diverse local density patterns, LSH with inappropriate tuning parameters can sometimes be outperformed by a simple linear search. In this paper, we introduce a hybrid search strategy between LSH-based search and linear search for r-NN in highdimensional space. By integrating an auxiliary data structure into LSH hash tables, we can efficiently estimate the computational cost of LSH-based search for a given query regardless of the data distribution. This means that we are able to choose the appropriate search strategy between LSH-based search and linear search to achieve better performance. Moreover, the integrated data structure is time efficient and fits well with many recent state-of-the-art LSHbased approaches. Our experiments on real-world datasets show that the hybrid search approach outperforms (or is comparable to) both LSH-based search and linear search for a wide range of search radii and data distributions in highdimensional space.
Production of bioethanol from free and immobilized cellulase produced by Bacillus subtilis BTSR1

/mL) after 24 hr incubation at 37°C under static condition. In this study, the extracellular cellulose from B. subtilis BTSR1 strain was produced, purified and estimated to be 46 kDa with specific activity was 302.27 U/mg. Immobilization process was standardized with respect to concentration of CaCl 2 , sodium alginate and bead size in order to obtain maximum efficiency. Different percentages of sodium alginate gel were tried. However, maximum immobilization efficiency was achieved with 4% alginate with 0.2M CaCl 2 and bead size was 10 g. The resultant optimal conditions for the highest CM Case production by Bacillus subtilis under SSF using wheat bran and coffee pulp as substrates were used for the subsequent bioethanol production. Bioethanol production was further optimized by varying substrate concentration (1-5%), Yeast Extract (0.1-0.5%), pH (4-8) and time (2-10 days). Immobilized enzymes produced the highest yield of bioethanol 28 g/l was obtained for 4% of substrate concentration. Immobilized cellulase activity nearly doubled the amount provided from the free enzyme activity. Additionally yeast extract concentration also optimized and ethanol production was found to increase 27 g/l of 0.3% yeast extract concentration. pH and duration were optimized also play a remarkable role in the production of bioethanol. In this study concluded that the maximum amount of bioethanol production was observed in the immobilized enzyme than free enzyme. Thus, immobilized condition was improved the activity of enzyme to produced bioethanol.
The Inﬂuence of the Skin Phenomenon on the Impedance of Thin Conductive Layers

: This paper analyzes the inﬂuence of the skin effect and the proximity effect on the inductance and impedance of thin conductive layers. The motivation for taking up this topic is the initial assessment of the possibility of using conductive layers deposited with the PVD technique on textile materials as strip or planar transmission lines of high-frequency signals (e.g., for transmitting images). This work pursues two goals. The ﬁrst of them is to develop and test a numerical procedure for calculating the electromagnetic ﬁeld distribution in this type of issue, based on the fundamental solution method (FSM). The second aim is to examine the impact of the skin phenomenon on the resistance, inductance and impedance of thin conductive paths. The correctness and effectiveness of FSM for the analysis of harmonics of electromagnetic ﬁelds in systems containing thin conductive layers were conﬁrmed. Based on the performed simulations, it was found that in the frequency range above 10 MHz, the dependence of resistance and impedance on frequency is a power function with an exponent independent of the path width. Moreover, it was found that for paths with a width at least several times greater than their thickness, the dependence of the phase shift between current and voltage on frequency practically does not depend on the path width.
Stark Broadening of N VI Spectral Lines

Stark broadening parameters, line widths and shifts, for 15 N VI multiplets are calculated using semiclassical perturbation theory for temperatures from 50,000 K to 2,000,000 K, and perturber density of 1016 cm−3. As perturbers have been taken electrons, protons and He III ions (alpha particles), which are of interest particularly for white dwarfs. Moreover, B III, B IV, B V and B VI ions have been taken as well, due to their significance for proton-boron fusion investigations. An example of the importance of Stark broadening in comparison with thermal Doppler broadening in atmospheres of spectral class DO white dwarfs is also presented. The obtained results are of interest particularly for white dwarf atmospheres modelling and analysis and synthesis of their spectra as well as for laser driven plasma in proton-boron fusion investigations.
The Routledge Handbook of Second Language Acquisition and Individual Differences

The role of working memory capacity has also been investigated in relation to L2 listening comprehension, mostly in combination with other factors. One of the first studies on this particular topic is by Kormos and Sáfár (2008), who examined the relationship between WM and listening scores for 121 Hungarian secondary-school students taking the Cambridge First Certificate Exam (FCE). The study examined both phonological short-term memory (PSTM), which only taps the storage function of working memory, and complex working memory, which involves both the storage and executive functions of working memory. While PSTM and listening performance did not show a significant correlation, a moderate correlation was found between complex WM capacity and FCE listening scores. That is, students with high scores on the complex WM test also tended to achieve high scores on the listening exam. Similar associations between complex WM capacity and L2 listening performance (and somewhat weaker ones between PSTM and L2 listening) are also reported by Brunfaut and Révész (2015), who looked into the role of WM (among other variables) in the English listening test performances of 47 Chinese L1 speakers. Based on their findings, the authors suggested that “individual differences in WM predict L2 processing abilities” (p. 161), but they highlighted that the strength of the correlation depends on task type and subskills tested. The authors argued that WM seems to play a role in listening comprehension only in listening items with high reading load (i.e., a multiple-choice stem formulated as a question and three sentence-length answer options) and which targeted detailed listening comprehension processing to a larger extent. For shorter listening items with very limited reading load and targeting more global listening skills (i.e., overall rather than detailed understanding), no correlation between WM and listening performance was found.
Fitting a drift-diffusion Item Response Theory model to complex cognition response times

Drift Diffusion Models (DDM) have been widely successful in modeling fast decision response times. DDM describes the underlying (cognitive) decision process as a function of a diffusion process drifting toward a decision threshold. A few studies have shown that introducing within-trial variability in DDM parameters or describing DDM parameters as a function of item properties improves the DDM model fit for response times of the Complex Decision Task (CDT) as well. One such extension of DDM is the Item Response theory-based Q-diffusion model (QDM). QDM has been successful in modeling response times of CDT such as chess ability assessment. The current study further examined whether QDM can fit response times corresponding to certain problem-solving tasks. First, the drift rate parameter of standard DDM was extended to approximate the within-trial variability in the reasoning process as discussed in existing meta-reasoning studies that examine such within-trial dynamics for problem-solving tasks. Then, the response times were simulated using the standard DDM and the mentioned extension of the standard DDM. Then, the goodness-of-fit of QDM was examined using a Bayesian model fit method - Posterior Predictive Check (PPC). PPC analysis revealed that the fitted QDM was able to effectively describe the simulated response time mean. However, the fitted QDM was not able to describe the simulated response time variance.
Teacher qualification and student performance in Biology at the Kenya Certificate of Secondary Education(KCSE) in public secondary schools in Nakuru East Sub-county, Nakuru county, Kenya

: This study aimed at investigating the teacher qualifications and the students' academic performance in KCSE in biology in public secondary schools in Nakuru east sub-county. The study was anchored on self-efficacy theory. The study was guided by the following research question: How does the teachers’ qualification influence secondary school students’ performance in Biology atKCSE in Nakuru east sub-county? The target population was all the head teachers, biology teachers and biology students from all public secondary schools in Nakuru east sub-county. Stratified random sampling and simple random sampling techniques was used to select six secondary schools, six head teachers, eleven biology teachers and nine hundred students from all public secondary schools in Nakuru east sub-county. The study used a mixed methods approach and a convergent-parallel design.Questionnaires and interviews ware used as the main tools for data collection from selectedSchools that is both open-ended. The instruments were pre-tested to check their validity and reliability and was done through a pilot study. A Reliability threshold of α=0.7 was adopted for the study. Descriptive statistics was used to analyze quantitative data by filling frequencies and percentages presented in tables, charts, and graphs. Open-ended questions were analyzed qualitatively in narrative and tabular forms. All ethical considerations were adhered to during the study. Key findings indicate that teachers’ qualifications, influences performance in Biology in Nakuru east sub county public secondary schools. It was suggested that teachers have to be exposed to teachers’ characteristics that influence students’ performance in Biology. Students should be provided with teachers who are qualified, experienced and have positive attitudes towards teaching. The study recommended that teachers with good academic qualifications, attitudes and professional experience should be involved in guiding and teaching of the students.
Systemic Lupus Erythematosus & Stem Cell Therapy

Systemic lupus erythematosus is an autoimmune disease characterized by a diverse range of clinical presentation and severe complications involving multiple organ systems. The global prevalence of this disorder ranges from 13 to 7713.5 per 100 000 individuals, with non-Caucasian women at the highest risk of developing the disease. SLE is a social as well as public health problem as this condition ranks among one of the top twenty leading causes of death in females from the age of five to sixty-four years of age and current treatments using multidisciplinary approaches can only work to control symptoms and further progression of disease while no true cure exists. Recent studies involving stem cell therapy in other autoimmune disorders with similar pathogenesis to systemic lupus erythematosus have encouraged clinic trials focused on investigating whether stem cells may be effective in treating this autoimmune disease. Mesenchymal stem cells are multipotent and capable of differentiating into many different cell types and are therefore seen as a promising strategy to treat even severe cases of systemic lupus erythematosus and lupus nephritis. These stem cells have a immunomodulatory effect and are known to affect the proliferative activity of immune cells such as T lymphocytes, B lymphocytes, natural killer cells and macrophages, which are all involved in the pathogenesis of SLE. Clinical trials in progress have indicated promise regarding stem cell therapy as a safe and tolerable treatment, however, further trials must be conducted in order to assess the efficacy of stem cell therapy in the long-term amelioration of disease.
How to repair a slip of the tongue?

A slip of the tongue (SoT) is by no means a random occurrence and usually gets self-repaired immediately. The reparandum, however, remains available in context as potential anaphoric antecedent. So at least two puzzles for dialogue theory emerge: (i) how to deal with reparandum anaphora, and (ii) how is immediate repair possible? To provide answers, we make two extensions to the dialogue framework KoS (Ginzburg, 2012): Firstly, we spell out SoT repair as an “intra-utterance move” which utilizes a conversational rule drawing on intended meaning ; Secondly, by reviewing current cognitive science work, we connect the linguistic types postulated by KoS to a pointer-based neurocognitive architecture and thereby sketch an explanatory dialogical model of SoT repair.
Buﬀer Resets: A Packet Discarding Policy for Timely Physiological Data Collection in Virtual Reality Gaming Systems

Aﬀective virtual reality (VR) gaming systems rely on timely physiological data collection, in order to generate personalized responses that enhance the emotional impact of a video game on its user. In this context, we propose a simple policy for timely data collection from wireless sensor nodes placed on the human body. Our policy is applied at each sensor node. Upon each packet arrival we check whether the buﬀer is full or not. If the buﬀer is full, then we empty it before adding the packet. In this very simple way, we avoid buﬀer congestion and impose timeliness. We simulated this aggressive buﬀer reset policy using a body area network (BAN) model in OMNeT++. By varying the packet generation rate of each node, we showed that our policy outperforms ﬁrst come ﬁrst served (FCFS) and last come ﬁrst served (LCFS) queueing policies in terms of peak age, while packet reception is barely aﬀected. Buﬀer resets can be easily integrated into existing random access protocols to support timely data collection.
Cost‐effective multi‐pulse AC‐DC converter with lower than 3% current THD

In this paper, a new multi‐pulse clean power converter topology is presented with lower than 3% input current total harmonic distortion (THD). The topology is based on the combination of a 36‐pulse converter and a pulse doubling circuit. The 36‐pulse converter consists of a “polygon” autotransformer and two 18‐pulse diode bridge rectifiers. Pulse doubling circuit consists of zero‐sequence‐blocking transformer (ZSBT) and tapped interphase transformer (IPT). The important advantage of the proposed AC‐DC converter is considerable reduction in burdens of the magnetic parts with respect to the nominal load rating. It provides more economical solution to achieve harmonic mitigation in electric power systems as compared with other 72‐pulse AC‐DC converters. The simulation and experimental results show that the input current THD is less than 3% using the proposed topology. The results indicate a significant reduction in the total cost and volume of the proposed 72‐pulse configuration in comparison with similar configurations. Also, it is shown that the proposed converter rating is about 44% of the DC load power.