Miracle-dz/UniFAR-FTUs huggingface dataset:
An improved method for interpretation of riverine concentration‐discharge relationships indicates long‐term shifts in reservoir sediment trapping

Derived from river monitoring data, concentration‐discharge (C‐Q) relationships are powerful indicators of export dynamics. Proper interpretation of such relationships can be made complex, however, if the ln(C)‐ln(Q) relationships are nonlinear or if the relationships change over time, season, or discharge. Methods of addressing these issues by “binning” data can introduce artifacts that obscure underlying interactions among time, discharge, and season. Here we illustrate these issues and propose an alternative method that uses the regression coefficients of the recently developed “Weighted Regressions on Time, Discharge, and Season” model for examining C‐Q relationships in long‐term, discretely sampled data for various water‐quality constituents, including their uncertainties. The method is applied to sediment concentration data from Susquehanna River at Conowingo Dam, Maryland, to illustrate how the coefficients can be accessed and presented in ways that provide additional insights toward the interpretation of river water‐quality data, which reaffirms the recently documented decadal‐scale decline in reservoir trapping performance.
The interconnection of age and gender : a Bronze Age perspective

s Analysing the interconnection of age and gender has emerged as a new and important field of research that focuses upon the historical contingency of how these dimensions of identity are understood and how their connections are explored within particular cultural contexts. With the aims of illustrating how these identities are involved with specific social discourses two examples from prehistory are considered, one is the Early Bronze Age cemetery at Gemeinlebarn F, Austria, the other is Late Bronze Age cemeteries from northern Europe. The selection of two different periods of the Bronze Age and two different regions aims to outline how distinctly differently age and gender may be articulated.
CNN-LSTM Based on Crow Search Optimization Algorithm for Product Review Classification

Product reviews means an everyone’s opinion or views towards particular products or services that delivered to a specific company. In modern global, reviews of online product play a vital part in the estimation process of product in a company and their customers. The extracted features are selected by using the Chi-Squared technique and for the classification of product review proposed a model by utilizing the combined deep learning techniques like Convolutional Neural Network (CNN) and Long- Short Term Memory (LSTM) and it optimized by Crow Search Algorithm (CSA). CNN is used for capturing the local information and LSTM neural network is used for the long-distance dependencies. By utilizing the benefits of CNN and LSTM and it is optimized by CSA for the effective classification of product review. The proposed model performance is estimated by using the performance metrics like Accuracy, Recall, Specificity, Sensitivity and F1-score are 98.35%, 93.20%, 97.57%, 94.82% and 95.78% respectively. The proposed model is compared with other existing model in terms of performance metrics which shows the better performance results.
Adaptive Output Feedback Control for Uncertain Nonlinear Systems Subject to Deferred State Constraints

This paper addresses the tracking control problem for a class of uncertain nonlinear systems with full state deferred constraints. The constraints considered occur after a period of system operation rather than from the beginning. An attempt has been made to use a shifting function to realize the purpose of deferred constraint. Moreover, the difficulty of asymmetric constraint on states comes from the design on barrier function. Due to this, an unified barrier function is proposed to prevent system states from violating the constraint range, indirectly. Meanwhile, it effectively removes the restriction condition used in existing results that the upper and lower bound signs of constraint functions are the same. Consequently, the goals of tracking a reference signal and state constraints are achieved through the control scheme designed. Theoretical analysis and simulations are presented to demonstrate the efficacy of the proposed control strategy.
The Role of The Direct Historical Approach in North American Ethnoarchaeology: A Northern Perspective

ABSTRACT The direct historical approach, which draws cultural links between the historic and prehistoric past at specific locations, has a longstanding, and at times controversial, history in archaeological interpretation. Evidence from this and related approaches, such as ethnohistorical reconstruction, historical linguistics, oral tradition, and native folklore, is widely employed today by North American archaeologists. It is also a commonly held idea that ethnoarchaeological models are most valuable when they can be linked through historical documentation to past cultures in the same region. The direct historical approach, where applicable, can provide a reliable form of analogical reasoning in ethnoarchaeological studies. However, the historical record is not equal in each region, and researchers must take into account the level of cultural change due to European contact. This paper uses selected examples from northern North America to revisit the role of the direct historical approach in ethnoarchaeological research.
Local Innovativeness and Knowledge Spillovers of Indigenous Firms on Foreign Firms: Evidence from China's ICT Industry

Literature on transboundary knowledge flows has primarily focused on foreign direct investment (FDI) spillover effects in emerging economies during the last decades. Little has been known, however, about whether or not and how foreign firms learn from local firms to enhance their innovation performance. The existing literature on clusters lays much emphasis on the variety of knowledge sources in the process of innovation, but it largely ignores the social and institutional barriers to transboundary knowledge flows. This article argues that for foreign firms operating in emerging economies, the issues about legitimacy and liability of foreignness might inhibit “outsiders” from effective knowledge sourcing; therefore, the social and institutional structure in a region plays a no less significant role than knowledge per se. Based on a large-scale firm-level database from China's information and communications technology (ICT) industry, this article reveals that local innovativeness of indigenous firms significantly stimulates and enhances innovation of foreign firms. It is interesting to find that whereas related variety of a region fails to exert positive influences, ownership diversity and a low extent of market concentration that reflect the openness of a local innovation system significantly affect innovation performance of foreign firms. It calls for more studies on local institutional and social construction of interfirm knowledge flows.
Research on Load State Identification Method Based on CNN-Transformer

Load monitoring is a critical link in the development of power grid technology, and the traditional load feature information is feature extraction and feature mining by simple convolutional neural network due to the inability to effectively combine multiple input timing component information when using CNN for load state identification. For this reason, a load state identification method based on the combination of CNN and Transformer is proposed. CNN mines the features of steady-state load and abnormal operating condition load data. In contrast, Transformer’s multi-attention mechanism is utilized to obtain the effects of abnormal load changes on steady-state load, and simulation and experimental results verify the correctness of the proposed method.
Rubrics in higher education: an exploration of undergraduate students’ understanding and perspectives

Rubrics are an assessment framework commonly employed in higher education settings; however, students can engage with and perceive them to be used in a variety of ways and with varying degrees of success. The aim of this research project was to explore these perceptions, to better understand how rubrics might be used to support students more effectively to successful academic outcomes. Fourteen interviews were conducted over a period of fourteen months, and four themes were identified: rubric introductions; rubric content (including language and format); student rubric use and the role of rubrics in how work is assessed. Findings were considered from thematic perspectives of the student participants. Conclusions drawn focus on the quality of classroom discussion when rubrics are introduced, the practical application of rubrics as a writing or planning tool, the need for detail and clarity in language use and explicit links between feedback and rubrics. Overall, effective engagement with rubrics appears to reduce student anxiety.
Research Progress of Wireless Positioning Methods Based on RSSI

Location-based services are now playing an integral role in the development of emerging industries, such as the Internet of Things, artificial intelligence and smart cities. Although GPS, Beidou and other satellite positioning technologies are becoming more and more mature, they still have certain limitations. In order to meet the needs of high-precision positioning, wireless positioning is proposed as a supplementary technology to satellite positioning, in which the Received Signal Strength Indication (RSSI) is one of the most popular positioning methods. In this paper, the application scenarios, evaluation methods and related localization methods of wireless positioning based on RSSI are studied. Secondly, the relevant optimization methods are analyzed and compared from different angles, and the methods of RSSI data acquisition are described. Finally, the existing problems and future development trends in RSSI positioning methods are expounded, which has certain reference significance for further research on RSSI localization.
Student-Facing Learning Analytics Dashboard for Remote Lab Practical Work

The designs of many student-facing learning analytics (SFLA) dashboards are insufficiently informed by educational research and lack rigorous evaluation in authentic learning contexts, including during remote laboratory practical work. In this article, we present and evaluate an SFLA dashboard designed using the principles of formative assessment to provide feedback to students during remote lab activities. Feedback is based upon graphical visualizations of student actions performed during lab tasks and comparison to expected procedures using TaskCompare—our custom, asymmetric graph dissimilarity measure that distinguishes students who miss expected actions from those who perform additional actions, a capability missing in existing graph distance (symmetrical dissimilarity) measures. Using a total of <inline-formula><tex-math notation="LaTeX">$N = 235$</tex-math></inline-formula> student graphs collected during authentic learning in two different engineering courses, we describe the validation of TaskCompare and evaluate the impact of the SFLA dashboard on task completion during remote lab activities. In addition, we use components of the motivated strategies for learning questionnaire as covariates for propensity score matching to account for potential bias in self-selection of use of the dashboard. We find that those students who used the SFLA dashboard achieved significantly better task completion rate (nearly double) than those who did not, with a significant difference in TaskCompare score between the two groups (Mann–Whitney <inline-formula><tex-math notation="LaTeX">$U = 453.5$</tex-math></inline-formula>, <inline-formula><tex-math notation="LaTeX">$p < 0.01$</tex-math></inline-formula> and Cliff's <inline-formula><tex-math notation="LaTeX">$\delta = 0.43$</tex-math></inline-formula>, large effect size). This difference remains after accounting for self-selection. We also report that students' positive rating of the usefulness of the SFLA dashboard for completing lab work is significantly above a neutral response (<inline-formula><tex-math notation="LaTeX">$S = 21.0$</tex-math></inline-formula> and <inline-formula><tex-math notation="LaTeX">$p < 0.01$</tex-math></inline-formula>). These findings provide evidence that our SFLA dashboard is an effective means of providing formative assessment during remote laboratory activities.
Power Spectrum Information Geometry-Based Radar Target Detection in Heterogeneous Clutter

In this article, the power spectrum information geometry (PSIG) detector, which inherits the performance advantages of matrix information geometry (MIG) detectors in heterogeneous clutter backgrounds, is proposed. The PSIG detector can address two urgent problems in applications of MIG detectors, which are the expensive computation expense and unavailable acquisition ability of target velocity. Specifically, the PSIG detector utilizes power spectra (PSs) instead of high-dimensional covariance matrices to characterize sample data and employs subband filter bank to extend the detection from range cells to range-Doppler cells; thus, it requires less computation expense and can obtain the target velocity information according to the Doppler cell. Experiments based on the real data show the advantages of the proposed PSIG detectors in comparison with competitive methods. Especially, in the experiments with the real-recorded airborne radar data, the proposed method can effectively suppress the heterogeneous main-lobe clutter without any prior knowledge and provides detection probability improvement of more than 30% to the competitive methods with low false-alarm ratios.
A Timer based on Overlapping Area for Avoiding Ping-Pong Handover in LTE Networks

Handover (HO) technique in LTE networks suffers from Ping-pong movement. Ping-pong HO can reduce the quality of the mobile user’s connection and increase the numbers of handovers. Also, it raises the network load and generally degrades the network performance. The work aims to present a novel approach to reduce the undesirable effects of ping-pong HO in LTE Mobile Networks using timer (based on overlapping area). The study focused on the ping-ping phenomenon taking into account maintained the dropped calls rates at lowest levels. The optimal timer values are determined based on the width of overlapping area, user velocity and type of eNodeB. Analyzed results showed that the changes of overlapping area directly affect the timer values of the proposed algorithm. Optimal timer values should be selected precisely according to the width of the overlapping area, user velocity and timer value in order to reduce the ping-pong HO.
Enhancing Digital Learning: A Usability Evaluation of the Canvas LMS at the University of North Texas A Pilot Study at the University of North Texas

The study, using Jakob Nielsen’s Usability Principles, aimed to identify usability challenges in the Canvas LMS. Conducted by University of North Texas computer science students familiar with usability evaluation, it selected students for the sample. The research method served as a pilot, guiding future investigations. Ten students participated, with the questionnaire’s Cronbach’s alpha at 0.969, showing high reliability and consistency in the tools used.
sTREM-1, MR-Pro-Adrenomedullin, clinical biochemistry and hematology in calves with neonatal sepsis

This study aimed to determine the changes in biochemical and hematological parameters and the expression of soluble triggering receptor expressed on myeloid cells-1 (sTREM 1) and mid-regional-pro-adrenomedullin (MR-Pro-ADM) on myeloid cells during treatment in calves with neonatal sepsis. The study group comprised 21 calves, aged 1–16 days, that fit the sepsis criteria. The control group comprised 10 healthy calves of the same age. The clinical examinations of the calves in the study group were performed at certain hours before the treatment (hour 0) and during the treatment (12th, 24th, 48th, and 72nd hours). The blood samples were taken from the vena jugularis before and during treatment from the sick calves and once from the healthy calves. The sTREM-1 levels before treatment (0 h), during treatment (12th, 24th, 48th, and 72nd hours) and control group was follows 59.17±2.58 ng/L, 57.07±1.65 ng/L, 57.27±2.07 ng/L, 56.64±1.97 ng/L, 57.58±2.18 ng/L and 75.60±2.57 ng/L,39 respectively. The MR-Pro-ADM levels before treatment (0 h), during treatment (12th, 24th, 48th, and 72nd hours) and control group was follows; 117.88±7.75 ng/L, 113.63±5.18 ng/L, 109.97±5.25 ng/L, 114.50±5.35 ng/L, 111,84±5.63 ng/L,65.31±2.81 ng/L, respectively. The serum MR-Pro-ADM levels in calves with sepsis were significantly higher than those in the control group before and during treatment (P < 0.05). Also, the serum sTREM-1 level was significantly lower before and after treatment in the sepsis group compared with the control group (P < 0.05). MR-Pro-ADM and sTREM-1 were more important, especially in terms of diagnosis in evaluating calves with neonatal sepsis.
From "Take-It-or-Leave-It" Offers to "Take-It-or-Be-Left-Out" Ultimatum: A Trade Mechanism for Online Services

In a world, where more and more businesses seem to trade in an online market, the supply of online services to supply the ever-growing demand could quickly reach its capacity limits. Online service providers may find themselves maxed out at peak operation levels during high-traffic timeslots but too little demand during low-traffic timeslots, although the latter is becoming less frequent. At this point not only deciding which user is allocated what level of service becomes essential, but also the magnitude of the service provided, can be controlled by pricing. Pricing is an important factor when efficient and acceptable allocation of resources between individuals must be reached. Without prices, transferring or sharing goods would be impossible. In sharing information, pricing a product however is not as simple as relatively pricing an apple or a pear. Often the costs, and hence the prices are simply unknown. Backed by this scenario, the online services market could be combined with the market design mechanism of diamonds. For this we propose an ultimatum pricing strategy which effectively allows for valuations to be accounted for, but no longer a necessity when pricing in grid, cloud or other online computing environments.
Challenges of the Treatment with Tyrosine Kinase Inhibitors in Chronic Myeloid Leukemia – Case Presentation

We present the case of a 33-year-old male patient diagnosed with chronic phase chronic myeloid leukemia in June 2008. According to treatment protocols enforced at that time, the patient started oral treatment with imatinib 400 mg/day, reaching a major molecular response (MMR) in 18- month time. The molecular response improved over time, with an undetectable BCR-ABL1 transcript level after 36 -48 months of treatment. However, the profound molecular response did not last, requiring a switch to the second line of therapy after 75 months of imatinib. Taking nilotinib 400 mg x2/day, the patient achieved a major molecular response in 12 months, and after 18 months of treatment, the level of BCR-ABL1 became undetectable. However, two vasooclusive events occurred in 2018 – a transient left parietal ischemic stroke and a left femoral artery occlusion – and by ESMO 2017 recommendations, nilotinib treatment was interrupted. The treatment-free remission decision was made with monthly monitoring of the BCR-ABL1 transcript level, but since the 4th month of monitoring, the deep molecular response disappeared. Administration of dasatinib, the third tyrosine kinase inhibitor, resulted in a deep molecular response which currently lasted until now, during the 58 months of treatment. The presented case represents the evolution of the concept of treatment in this haemato-oncological disease during the last decade.
Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports

The increasing volume of financial documents requires efficient summarization methods. This study investigates the use of natural language processing (NLP) to summarize financial narratives from annual reports in English, Spanish, and Greek. We employ T5 for English and mT5 for Greek and Spanish, generating structured summaries of firms’ yearly financial trends. Despite the challenges posed by diverse and unstructured reports, our approach effectively identifies key narrative elements, excluding financial tables and numerical data. In competition, our system significantly exceeded the baseline model, with placements varying by language and a weighted score distribution of 50% for English, 25% for Greek and 25% for Spanish, producing a composite score of 0.112.
Concussion-Related Vision Disorder Practice Patterns in Occupational Therapy: A Survey

Background: Occupational therapists are among the first providers to initiate care after a concussion; however, evidence is limited regarding current concussion-related vision disorder practice patterns. A better understanding of these practice patterns is important because of the impact of undetected and untreated vision problems on occupational performance. Method: A mixed-methods survey was administered online to occupational therapists to explore the assessments and interventions used to address concussion-related vision disorders, occupational therapy’s perceived role, and difficulties encountered when treating these conditions. Results: Of 23,910 occupational therapists invited to participate, 2,278 (10%) began the survey, and 1,187 (52%) met inclusion criteria. Assessment tools identified were subjective and objective in nature. Identification and treatment varied significantly based on years of practice, whether an optometrist was on site, and whether vision continuing education was completed. Identified roles included ADLs, compensation, and identification. Treatment difficulties included resources, education, and evidence. Conclusion: Data revealed inconsistent practice patterns, perhaps because of educational differences. The results suggested improving education in the areas of concussion and vision by developing interprofessional collaboration and standards of care, developing a vision remediation certification, and producing further research regarding concussion-related vision disorders and occupation in the occupational therapy literature. Comments The authors report no potential conflicts of interest. Elements of this manuscript, including concussionrelated vision disorder practice patterns in occupational therapy, were presented at the American Academy of Optometry Conference in November, 2018, and the American Occupational Therapy Association Conference in April, 2019.