Miracle-dz/UniFAR-FTUs huggingface dataset:
Measure words, plurality, and cross-linguistic variation

In the context of Borer’s (2005) theory of nominal classification, the aim of this paper is to explain why measure words in some languages (English, French, Hebrew) necessarily take an -s (two bottles of milk versus *two bottle of milk) while in other languages (Azeri, Persian, Ojibwe) measure words can surface without plural marking (the equivalent of two bottle of milk is grammatical). If we assume -s in English-type languages is responsible for division in measure constructions (as in Borer 2005), we face the following puzzle: What is responsible for division in Azeri-type languages in the absence of the plural? We argue that, for a number of reasons, it cannot be the numeral (two) and propose that division is performed, in the absence of a plural, by measure words themselves (as in Chierchia 1998; Stavrou 2003; Acquaviva 2008, among others). We argue that whether or not plural marking appears on the measure word depends on a higher projection that expresses the counting function (distinct from the classifying/measuring function, Rothstein 2010b). Measure constructions thus provide evidence for the idea that, in addition to the dividing plural, we need a higher, counting plural, bolstering the hypothesis that the plural comes in many flavours (Acquaviva 2008; Harbour 2008; Wiltschko 2008, 2012; Butler 2012; Mathieu 2012, 2013, 2014).
The Impact of the COVID-19 on Digital Technology-based Teaching and Learning in English Language Education: A Systematic Review

In the time of the COVID, with more frequent usage of digital technologies, it is expected that new concepts of digital literacy and new findings and research trends of digital technology-based language teaching and learning will appear during COVID. With such understanding, this paper presents a systematic review of studies where digital literacy and digital technology-based pedagogy are discussed in the field of English language education during the pandemic. Through the qualitative synthesis of 32 studies included in this review, it is found that the classroom roles of digital technology have shifted from complementary to necessary, and factors such as teachers and students engagement in online learning mode are newly developed areas of interest after the COVID. However, this review demonstrates that the conceptualisations of digital literacy remain somewhat unchanged, and the focused age group is still largely concentrated in secondary and tertiary settings. It is hoped that future research can focus more on the primary school context, and to discover new perspectives of digital literacy to help our students to make better use of digital technologies to assist their language learning. abstract should summarize the contents of the paper and should contain at least 100 and at most 300 words.
Entity Matching for Digital World: A Modern Approach using Artificial Intelligence and Machine Learning

Entity matching is the field of research solving the problem of identifying similar records which refer to the same real-world entity. In today’s digital world, business organizations deal with large amount of data like customers, vendors, manufacturers, etc. Entities are spread across various data sources and failure to correlate two records as one entity can lead to confusion. Relationships and patterns would be missed. Aggregations and calculations won’t make any sense. It is a significant data integration effort that often arises when data originate from different sources. In such scenarios, we understand the situation by linking records and then track entities from a person to a product, etc. There is appreciable value in integrating the data silos across various industries.
Oblique flexural-gravity wave scattering by a submerged semi-circular ridge

This study examines the flexural-gravity wave scattering by a semi-circular ridge submerged in the ocean covered by a thin ice sheet. The ice sheet is treated as an elastic plate and its deflection is modelled using the Euler-Bernoulli beam equation. The fluid motion is described by linear potential theory. The series solutions of velocity potentials for obliquely and normally incident waves are both developed using multipole expansions. The unknowns in the series solutions are determined in terms of the impermeable condition on the ridge surface. Accurate results for the reflection and transmission coefficients of ridge and the deflection of ice sheet are presented. The effects of ridge radius, ice thickness, wave frequency and wave incident angle on the hydrodynamic quantities are shown.
Degree-Based Spectrum Management Scheme for CR Networks

This study proposes a novel scheme of spectrum management based on node degree. The spectrum resource is divided into multiple levels by the node degree, with which cognitive nodes select the suitable frequency from some spectrum layer. The nodes with greater degree can choose a frequency that closer to the predominant frequency. The supports of additional equipment and protocol redesign are not necessary for the rapid deployed applications by using this proposed scheme. Finally, the efficiency of proposed scheme is testified with experiments.
Investigating the Sources of Flickering and Superhumps in the Dwarf Nova V4140 Sgr

Abstract We report the results of maximum entropy eclipse-mapping analysis of an ensemble of light curves of the dwarf nova V4140 Sagitarii (V4140 Sgr) with the objective of studying the spatial distribution of its steady-light and flickering sources in quiescence, and the changing disk structure during an outburst.
The Effectiveness of Interactive Social Media Platform on Fitting Intention: A Case Study on TikTok During COVID-19

Since the outbreak of COVID-19 around the world, peoples lifestyles have changed a lot, who are not able to go to any public place to exercise anymore, such as gyms and parks, etc. As they increasingly realize the importance of health in their lives, people have to work out at home to increase their resistance to the pandemic. The study aims to discuss the effectiveness of interactive social media platforms on peoples fitting intentions during the pandemic. This paper further developed the Theory of Planned Behavior model and used the questionnaire survey method. This research concludes that due to COVID-19 the number of people watching the TikTok platform live fitness has increased. Thus, the spread of the TikTok platform live broadcast is a crucial factor in the increase of peoples fitting intentions. Attitude, subjective norms, and perceived behavioral control promote peoples fitting behavioral intention to participate in National Fitness Campaign during the pandemic.
Uso de redes sociales y prácticas de chat: sus relaciones con la comprensión de textos en estudiantes universitarios

Resumen Se analizan las relaciones entre frecuencia e intensidad en el uso de internet, redes sociales y prácticas de chat con la comprensión de textos impresos. Para tal fin se incluyeron en el estudio 101 estudiantes universitarios que asistían a una universidad pública argentina. No se encontraron correlaciones significativas entre ninguna de las medidas de frecuencia e intensidad y la prueba de comprensión del texto narrativo. En cambio, se encontró una asociación negativa significativa entre la comprensión del texto académico con la intensidad en el uso de redes sociales y las prácticas de chat. Adicionalmente, los alumnos fueron subdivididos según nivel de intensidad en el uso de internet, redes sociales y prácticas de chat. Así, quedaron conformados tres subgrupos: de alto, medio y bajo uso. El análisis mostró que los sujetos con bajo y alto nivel de intensidad en el uso de redes sociales se diferenciaron de forma estadísticamente significativa en el desempeño de la prueba de comprensión del texto académico. Esta información sostiene la hipótesis que la participación y las prácticas de lectura que se ponen en juego en esos entornos digitales dificultan la comprensión. Conocer el perfil de los estudiantes relativo al uso de redes sociales y las prácticas de chat sería un insumo de interés para el diseño de intervenciones eficaces en el dominio de la compresión de textos académicos.
Multi-Camera-Based Sorting System for Surface Defects of Apples

In this paper, we addressed the challenges in sorting high-yield apple cultivars that traditionally relied on manual labor or system-based defect detection. Existing single-camera methods failed to uniformly capture the entire surface of apples, potentially leading to misclassification due to defects in unscanned areas. Various methods were proposed where apples were rotated using rollers on a conveyor. However, since the rotation was highly random, it was difficult to scan the apples uniformly for accurate classification. To overcome these limitations, we proposed a multi-camera-based apple sorting system with a rotation mechanism that ensured uniform and accurate surface imaging. The proposed system applied a rotation mechanism to individual apples while simultaneously utilizing three cameras to capture the entire surface of the apples. This method offered the advantage of quickly and uniformly acquiring the entire surface compared to single-camera and random rotation conveyor setups. The images captured by the system were analyzed using a CNN classifier deployed on embedded hardware. To maintain excellent CNN classifier performance while reducing its size and inference time, we employed knowledge distillation techniques. The CNN classifier demonstrated an inference speed of 0.069 s and an accuracy of 93.83% based on 300 apple samples. The integrated system, which included the proposed rotation mechanism and multi-camera setup, took a total of 2.84 s to sort one apple. Our proposed system provided an efficient and precise solution for detecting defects on the entire surface of apples, improving the sorting process with high reliability.
Review of Transition from Mining 4.0 to Mining 5.0 Innovative Technologies

The sustainable provision of mankind with energy and mineral raw materials is associated with an increase not only in industrial but also in the ecological and economic development of the raw material sector. Expanding demand for energy, metals, building and chemical raw materials on the one hand, and the deterioration of the living environment along with a growth of raw materials extraction on the other, put the human-centric development of mining at the forefront. This forms a transition trend from Mining 4.0 technologies such as artificial intelligence, big data, smart sensors and robots, machine vision, etc., to Mining 5.0, presented with collaborative robots and deserted enterprises, bioextraction of useful minerals, postmining, and revitalization of mining areas. This “bridge” is formed by the technological convergence of information, cognitive, and biochemical technologies with traditional geotechnology, which should radically change the role of the resource sector in the economy and society of the 21st century. The transition from Mining 3.0 to 4.0 cannot be considered complete. However, at the same time, the foundation is already being laid for the transition to Mining 5.0, inspired, on the one hand, by an unprecedented gain in productivity, labor safety, and predictability of commodity markets, on the other hand, by the upcoming onset of Industry 5.0. This review provides a multilateral observation of the conditions, processes, and features of the current transition to Mining 4.0 and the upcoming transformation on the Mining 5.0 platform, highlighting its core and prospects for replacing humans with collaborated robots and artificial intelligence. In addition, the main limitations of the transition to Mining 5.0 are discussed, the overcoming of which is associated with the development of green mining and ESG (environment, social, and governance) investment.
Finding Similar Items

A fundamental data-mining problem is to examine data for “similar” items. We shall take up applications in Section 3.1, but an example would be looking at a collection of Web pages and finding near-duplicate pages. These pages could be plagiarisms, for example, or they could be mirrors that have almost the same content but differ in information about the host and about other mirrors. We begin by phrasing the problem of similarity as one of finding sets with a relatively large intersection. We show how the problem of finding textually similar documents can be turned into such a set problem by the technique known as “shingling. ” Then, we introduce a technique called “minhashing,” which compresses large sets in such a way that we can still deduce the similarity of the underlying sets from their compressed versions. Other techniques that work when the required degree of similarity is very high are covered in Section 3.9. Another important problem that arises when we search for similar items of any kind is that there may be far too many pairs of items to test each pair for their degree of similarity, even if computing the similarity of any one pair can be made very easy. That concern motivates a technique called “locality-sensitive hashing,” for focusing our search on pairs that are most likely to be similar. Finally, we explore notions of “similarity” that are not expressible as intersection of sets. This study leads us to consider the theory of distance measures in arbitrary spaces. It also motivates a general framework for locality-sensitive hashing that applies for other definitions of “similarity. ”
Identification and Validation of Cyclin A2 and Cyclin E2 as Potential Biomarkers in Small Cell Lung Cancer

Introduction: Small cell lung cancer (SCLC) is a special type of lung cancer sensitive to radiotherapy and chemotherapy but is prone to drug resistance and recurrence and has a very poor prognosis. This study aimed to explore the potential biomarkers and therapeutic targets for SCLC. Methods: After batch normalization of GSE40275, GSE1037, and GSE44447 datasets, R was used to screen SCLC’s differentially expressed genes (DEGs) and hub genes. We used immunohistochemistry (IHC) to assess the tissue’s expression level of the hub gene. The clinical value of the hub gene was further evaluated based on the collected clinical-pathological data. Results: In this study, a total of 230 DEGs (133 upregulated and 97 downregulated) were screened by the R package. The IHC showed that the expression of CCNA2 and CCNE2 in SCLC tissues was significantly higher than that in normal tissues (p < 0.01). Overexpression of CCNA2 was closely associated with the extensive period of NCCN (p = 0.004), tumor position (p = 0.046), and clinical stage (p = 0.002). The high expression levels of CCNE2 were related to high survival in chemotherapy patients (p = 0.019). Conclusion: CCNA2 and CCNE2 may serve as potential biomarkers of diagnosis and treatment for SCLC.
Charged walls in thin magnetic films

Charged walls are domain walls which carry a net "magnetic charge" (div M) due to their orientation relative to the domain magnetizations. They differ from ordinary Bloch and Neel walls (which are uncharged) primarily in their much wider profile. In order to calculate such walls, a variational method was developed. It is based on the separation of that part of stray field energy which would be present even with an infinitely thin wall. The main results of the calculations are as follows. 1) Isolated charged walls do exist if exchange energy is taken into account, as opposed to the periodic solution known for the limit of negligible exchange energy. 2) Rotated, partially charged walls develop a Neel-wall-like narrow core region. Detailed results for the wall profiles, energies and widths as a function of wall angle, orientation, film thickness, and material parameters are presented. They are applied to two examples: the case of a Permalloy film in a domain tip propagation memory, and the case of the implanted layer on a contiguous disk bubble device.
Canonical correlation between blocks of long-memory time series and consistency of subsampling

Let $\{Z_n\}$ be a long-memory stationary process with memory parameter $d\in (0,1/2)$. We derive an efficient bound for the canonical correlation between two finite blocks of $\{Z_n\}$. This bound can be applied to establish the asymptotic consistency of subsampling procedures for general statistics of long-memory time series. It allows the subsample size $b$ to be $o(n)$, where $n$ is the sample size, irrespective of the memory parameter $d$.
An Improved Hybrid Particle Swarm Optimization Algorithm for TSP

To solve the travelling salesman problem,an improved hybrid particle swarm optimization algorithm was proposed,in which the population is divided into several sub-populations where the genetic mechanisms are applied.On the basis of PSO-GA,the proposed algorithm adopted clone immune mechanism and designed four operators,including clone operator,crossover operator,auto-adaptive mutation operator and antibody restructuring operator.Computer numerical experiments show that the presented algorithm achieved a higher convergence rate,better global optimization and optimal solution.
An Overview of the Role of MicroRNAs on Carcinogenesis: A Focus on Cell Cycle, Angiogenesis and Metastasis

In recent years, the importance of epigenetic markers in the carcinogenesis of different malignant neoplasms has been demonstrated, also demonstrating their utility for understanding metastatic spread and tumor progression in cancer patients. Among the different biomarkers, microRNAs represent a set of non-coding RNAs that regulate gene expression, having been involved in a wide variety of neoplasia acting in different oncogenic pathways. Both the overexpression and downregulation of microRNAs represent a complex interaction with various genes whose ultimate consequence is increased cell proliferation, tumor invasion and interaction with various driver markers. It should be noted that in current clinical practice, even though the combination of different microRNAs has been shown to be useful by different authors at diagnostic and prognostic levels, there are no diagnostic kits that can be used for the initial approach or to assess recurrences of oncological diseases. Previous works have cited microRNAs as having a critical role in several carcinogenic mechanisms, ranging from cell cycle alterations to angiogenesis and mechanisms of distant metastatic dissemination. Indeed, the overexpression or downregulation of specific microRNAs seem to be tightly involved in the modulation of various components related to these processes. For instance, cyclins and cyclin-dependent kinases, transcription factors, signaling molecules and angiogenic/antiangiogenic products, among others, have been recognized as specific targets of microRNAs in different types of cancer. Therefore, the purpose of this article is to describe the main implications of different microRNAs in cell cycle alterations, metastasis and angiogenesis, trying to summarize their involvement in carcinogenesis.
Effect of a surgical skills month on intern performance in the orthopaedic in-training examination

Background: The orthopaedic in-training examination (OITE) is an annual national assessment of knowledge in orthopaedic surgery residents. Our primary aim was to determine if intern performance in the OITE (measured by correct answers) differed before and after the adoption of a formal surgical skills month (SSM) in the residency curriculum. A secondary aim was to evaluate the relationship between intern OITE and post-graduate year two (PGY-2) scores. Methods: A single institution retrospective cohort study was performed, comparing orthopaedic surgery interns who took the OITE before (15 residents) and after (16 residents) the year 2013 (when an SSM was introduced). De-identified OITE raw and percentage correct scores were obtained from all resident records. Statistical testing included independent sample t test and linear regression, with a significance level of 0.05. Results: Comparison of OITE percentage of correct answers overall, between interns before and after 2013, showed a significant increase after initiating the SSM (44.8%±4.13% vs. 49.9%±8.44%, P=0.0414). In addition, regression analysis demonstrated a positive linear relationship between intern and PGY-2 OITE scores after the SSM was implemented (R 2=0.380, P=0.011, β=0.424, CI: 0.1135341 –1.190913). Conclusion: Implementation of an SSM led to increased intern OITE scores. Moreover, intern OITE scores were more predictive of PGY-2 scores after SSM implementation. Earlier education (such as a surgical skills month) for orthopaedic surgery interns can aid knowledge acquisition and career development at the beginning of their training. Level of Evidence: Level III.
Interleukin-18 binding protein regulates the apoptosis and necroptosis of fibroblast-like synoviocytes and chondrocytes in rheumatoid arthritis.

OBJECTIVES Interleukin (IL)-18 plays a pro-inflammatory role in rheumatoid arthritis (RA), and its soluble inhibitor IL-18 binding protein (IL-18BP) has a potential therapeutic role. We investigated the role of IL-18BP on the joint destruction process of RA by accessing the effects of IL-18BP on fibroblast-like synoviocytes (FLSs) and chondrocytes. METHODS Peripheral blood mononuclear cells (PBMCs) from patients with RA and healthy controls were cultured under T cell proliferative conditions with 10, 50, or 100 ng/mL of IL-18BP. After three days of culture, flow cytometry for CD4+ T cells was performed using various IL-18BP concentrations. The apoptosis and necroptosis of FLSs and chondrocytes were measured by flow cytometry using annexin V and propidium iodide (PI) and western blot under TNF-α stimulation with IL-18BP (10, 50, and 100 ng/mL). RESULTS Differentiation of CD4+ IL-17A+ and CD4+ IL-4+ cells decreased and that of CD4+ CD25high Foxp3+ and CD4+ interferon (IFN)-γ+ cells increased on addition of IL-18BP to cultured RA patient-driven PBMCs. RA-FLS migration ability was not suppressed by IL-18BP after 12 or 24 h. IL-18BP increased annexin V+ FLS level and reduced annexin V+ chondrocyte level in a dose-dependent manner, whereas PI+ annexin V- FLS and chondrocyte levels were suppressed by 50, 100 ng/mL IL-18BP in culture. CONCLUSIONS The administration of IL-18BP regulated the type 17 helper T cell/ regulatory T cell imbalance and attenuated the production of pro-inflammatory cytokines. IL-18BP further increased FLS apoptosis and decreased the necroptosis of FLS/chondrocytes and apoptosis of chondrocytes suggesting the joint preservative potential of IL-18BP.
A Compact Ka-Band Eight-Element Four-Beam Receiver for Low-Earth-Orbit Satellite Communications in 65-nm CMOS

This letter presents a Ka-band compact eight-element four-beam phased-array receiver to improve communication capacity for millimeter-wave satellite communications. To address the design challenge of the large area induced by the multibeam forming, the receiver utilizes a digital-assisted variable-gain phase shifting technique and an active combining scheme to enable compact implementation and facilitate array design. The receiver achieves a 360° phase shifting range with a 6-bit resolution and a 25-dB attenuation range with a 0.5-dB step. The measured root mean square (rms) phase and amplitude errors are 1.1° and 0.11 dB at 29.5 GHz, respectively. Each element achieves a gain of 26.7 dB, a minimum noise figure (NF) of 3.7 dB, and an input-referred 1-dB gain compression point (IP1 dB) of −32.5 dBm. The proposed receiver demonstrates the state-of-the-art number of simultaneously reconfigurable beams with a compact size among millimeter-wave silicon-based beamformers.