Miracle-dz/UniFAR-FTUs huggingface dataset:
Motion of Particles at the Fundamental Level: NLHV Theory Predictions for a Spiral Gait Locus

Context: The existing literature on particle motion at the fundamental level is sparse. Particles, whether classical or quantum, are assumed to move with a continuous (even if uncertain) velocity. Purpose: The work prospects for a descriptive theory of particle motion from a non-local hidden-variable (NLHV) perspective. This is worth attempting for the potential to better understand fundamental dynamics and kinematics. Method: The new physics provided by the cordus theory was used to infer the mathematical representation of the energisation behaviour of the inner structures, specifically the reactive ends. From this, the motion function of the particle as a whole was determined. Findings: In three dimensional space, the motion of each reactive end is an irregular spiral displacement locus. The motion comprises a movement phase and a brief immobile phase. This is called a “gait” as it is reminiscent of biological locomotion. Originality: A novel theory of particle motion is offered. The theory predicts that motion comprises a complex spiral locus of the particle. This is unique among theories of physics. Further contributions are the provision of explanations for several physical phenomena: ponderomotive force, the nature of momentum, and bremsstrahlung radiation. Specifically, the theory explains why photon emission would be increasingly concentrated in the forward direction with increased electron energy. The theory provides a means to bridge quantum mechanics and special relativity, because it accommodates both particle uncertainty and field transmissions.
Linking Discourse Marker Inventories

The paper describes the first comprehensive edition of machine-readable discourse marker lexicons. Discourse markers such as and, because, but, though or thereafter are essential communicative signals in human conversation, as they indicate how an utterance relates to its communicative context. As much of this information is implicit or expressed differently in different languages, discourse parsing, context-adequate natural language generation and machine translation are considered particularly challenging aspects of Natural Language Processing. Providing this data in machine-readable, standard-compliant form will thus facilitate such technical tasks, and moreover, allow to explore techniques for translation inference to be applied to this particular group of lexical resources that was previously largely neglected in the context of Linguistic Linked (Open) Data.
The Effect of Adiposity on the Outcome of Non-Surgical Periodontal Therapy

Background: Non-surgical periodontal therapy constitutes the first step in controlling periodontal infections, and its outcome is affected by the presence of other systemic diseases and conditions. Obesity is a modifiable risk factor for periodontitis and its effect on the outcome of non-surgical periodontal therapy has not been clearly determined. Aim: To determine the impact of central adiposity on the outcome of non-surgical periodontal treatment in patients with periodontitis. Methodology: This prospective interventional study included 39 obese patients with periodontitis (Group A) and 39 normal? weight patients with periodontitis (Group B). The waist circumference (WC), waist/hip ratio (WHR), waist/height ratio (WHtR), Simplified oral hygiene index (OHIS), bleeding on probing (BOP), probing pocket depth (PPD), number of sites with PPD ≥ 4 mm, and clinical attachment loss (CAL) were measured at baseline and 3 months after non-surgical periodontal treatment. Chi-square test was used to compare categorical variables between the groups. Independent samples t-tests and paired t-test were used to analyse the numerical intergroup and intragroup data, respectively. Pearson’s correlation coefficients and multiple regression analyses were used to assess the strength and impact of central adiposity on periodontal treatment outcomes. Data were analysed using the IBM Statistical Package for Social Sciences version 20.0 and statistical significance was set at P < 0.05. Results: At baseline, the mean PPD and CAL were comparable in both Groups A and B; while the mean percentage of sites with gingival BOP and percentage of sites with periodontitis were significantly higher in Group A. All periodontal parameters significantly improved after treatment in Groups A and B. However, participants in Group B had a better improvement in sites with gingival BOP and percentage of sites with periodontitis after treatment compared to Group A. Multiple regression analysis showed that central adiposity had a significant (P < 0.05) negative impact on the treatment outcome of gingival BOP, PPD and percentage of sites with periodontitis (PPD ≥ 4 mm) after adjusting for age, sex and socio-economic status. Conclusions: The findings indicated that central adiposity has a negative impact on gingival bleeding on probing, probing pocket depth and percentage of sites with periodontitis.
Sociocultural behavioral traits in modelling the prediction of COVID-19 infection rates

PurposeOver the past decades, many health authorities and public policy experts have traditionally relied on indicators that are dependent on a nation's economy, its health-care infrastructure advancements, and superiority in biomedical sciences and technology to predict potential infection rates should a health pandemic occur. One such commonly relied-upon indicator was that of the Global Health Security (GHS) Index. However, the coronavirus disease 2019 (COVID-19) pandemic has shown how such variables prove to be inaccurate in predicting the infection rates during a global health pandemic. Hence, this paper proposes the utilization of socio-cultural behavioral traits to predict a country's COVID-19 infection rates.Design/methodology/approachThis is achieved by proposing a model involving the classification and regression tree (CART) algorithm and a Poisson regression against the six selected cultural behavioral predictors consisting of individualism, power distance, masculinity, uncertainty avoidance, long-term orientation, and indulgence.FindingsThe results show that all the selected cultural behavioral predictors are significant in impacting COVID-19 infection rates. Furthermore, the model outperforms the conventional GHS Index model based on a means squared error comparison.Research limitations/implicationsThe authors hope that this study would continue promoting the use of cultures and behaviors in modeling the spread of health diseases.Practical implicationsThe authors hope that their works could prove beneficial to public office holders, as well as health experts working in health facilities, in better predicting potential outcomes during a health pandemic, thus allowing them to plan and allocate resources efficiently.Originality/valueThe results are a testament to the fact that sociocultural behavioral traits are more reliant predictors in modeling cross-national infection rates of global health pandemics, like that of COVID-19, as compared to economic-centric indicators.
Contextualizing Conversational Strategies

Do people adjust their conversational strategies to the specific contextual demands of a given situation? Prior studies have yielded conflicting results, making it unclear how strategies vary with demands. We combine insights from qualitative and quantitative approaches in a within-participant experimental design involving two different contexts: spontaneously occurring conversations (SOC) and task-oriented conversations (TOC). We systematically assess backchanneling, otherinitiated repair and linguistic alignment. We find that SOC exhibit a higher number of backchannels, a reduced and more generic repair format and higher rates of lexical and syntactic alignment. TOC are characterized by a high number of specific repairs and a lower rate of lexical and syntactic alignment. However, when alignment occurs, more linguistic forms are aligned. The findings show that conversational strategies adapt to contextual demands.
Is Selfie Behavior Related to Psychological Well-being?

Background The reasons and consequences of people’s activity on social networks have not been sufficiently studied. Most studies have focused on identifying the dangers and risks associated with posting self-portraits on social networks, but it is an open question as to whether such behavior serves to increase people’s psychological well-being. Objective We asked ourselves what are the main motives for publishing selfies and whether online activity contributes to psychological well-being. Design Our study involved 96 respondents from Moscow, mainly psycho logy students, who provided information about their activity on social networks, and completed questionnaires on their motivation, social support, and psychological well-being. Results Three main motives for publishing selfies were identified: 1) to increase self-esteem; 2) maintain social contacts; and 3) preserve and exchange information. The higher the ratio of selfies taken to preserve information, the higher was the user’s psychological well-being. We found significant differences between the characteristics of those participants with high and low activity, and larger and smaller numbers of “friends” in social networks. For those with high activity, their sense of psychological well-being was largely determined by interaction with others. For these persons, communication (including with virtual contacts) was the important resource of well-being. The other group was less dependent on others, and for them, psychological well-being was not related to their activity on social networks. Conclusion Our results confirm the connection between the personality traits and characteristics of the respondents’ network behavior and their psychological well-being. The study showed that the type of correlation constellation differs between groups of respondents depending upon how much or how little they are oriented toward social support.
Data-driven multiple suppression for laterally varying overburden with thin beds

Multiples can cause artifacts in structural images of the target reservoir, which can compromise reservoir characterization and time-lapse monitoring. This is especially true in the case of short-period internal multiples (SPIMs), which can undermine the waveform fidelity. These SPIMs are generated by thin beds that are separated by less than the dominant wavelength. De-multiple methods (Weglein, 1997; Jakubowicz, 1998) that rely on the separability of individual events fail in such settings. The Marchenkoequation-based multiple elimination methods (e.g. van der Neut and Wapenaar, 2016) in theory can remove all multiples created by the entire overburden, and Dukalski and de Vos (2020) proposed a convenient de-multiple formula. These approaches use one or two so-called de-reverberation operators (solutions to the Marchenko equations) V+ = T ↑ s,dirT ↑−1 s , and V̄ + = T ↓−1 s T ↓ s,dir. Here T ↑ s and T ↓ s are the up/downgoing transmission responses, respectively. The subscripts s and dir denote the shallow overburden and the direct part, respectively. These methods, in theory, can accurately handle SPIMs, however, that is only possible if the underlying equations are accurately constrained with knowledge of short period scattering – information which typically is not a priori available (Slob et al., 2014).
What Makes Security-Related Code Examples Different

Developers relying on code examples (CEs) in software engineering can impact code security. We conducted semi-structured interviews with seven professional developers to investigate developers’ habits, challenges, and strategies in the life cycle of using security-related code examples (SRCEs), with a focus on exploring the differences between security-and non-security-related CEs. Results indicate that a lack of adequately differentiating between SRCEs and non-security-related code examples (NSRCEs) is a reason for introducing vulnerabilities into the code. We found that developers had a habit of reusing vulnerable code from their previous projects. This code reuse unintentionally introduced the same vulnerability into new projects, while that vulnerability had already been ﬁxed in later iterations of the original resource the CE had been taken from. Our results highlight that professional developers need the same number of such CEs even as they gain experience over time, while this may not be the case for NSRCEs.
A Comprehensive Survey of Sentiment Analysis: Techniques, Applications and Open Problems

With the extensive usage of Internet technology, Sentiment Analysis (SA) has become one of the research areas to analyze the sentiments. SA extracts emotions in the text, which helps various organizations to make effective decisions. The explosive volumes of data create more opportunities and challenges in the analysis. The existing survey focuses on Natural Language Processing techniques for SA. However, in the last few years, many Machine Learning techniques have been developed. In this survey paper, a comprehensive review of the Machine Learning techniques for SA is presented. This survey mainly focuses on the essential works carried out in the last few years. SA is an evolving field, and the other contribution of this paper is presenting newer applications and open problems in sentimental analysis.
ASGSR EDITORIAL BOARD

Summarize the principal approach and conclusions of the paper. Abstracts are not to exceed 150 words in Short Communications and 250 words in all others. Body of paper – For Research Papers, the body of the paper should be arranged into subsections for Introduction, Materials and Methods, Results, and Discussion. Review Papers should be organized in a manner appropriate to the subject. Methods papers should include a short Introduction and also a Discussion of the application addressing the significance of the method being described. The Short Communication papers are not required to contain subdivisions, other than a short abstract, but may be organized into subsections at the discretion of the authors. References and Citations – Cite each reference in the text by author(s) name(s) and the publication date: Examples: Smith, 1989 (one author) Smith and Jones, 2001 (two authors) Smith et al., 2010 (more than two authors). • Alphabetize the reference list by authors' last names. • List only published or in-press articles. Unpublished results, including personal communications and submitted manuscripts, should be cited as such in the text. • References formatted as follows: author(s): last name(s) comma followed by initial(s) and a period comma before next author; year of publication followed by a period; article title in sentence case, followed by a period; journal title (unabbreviated and italicized), followed by volume number, issue number in parenthesis (if applicable), a colon, and page numbers. Previous issues can be used as a guide, and an EndNoteTM style template can be downloaded at the website. Two examples are provided below:
Stem anatomy at various developmental stages of secondary growth in Turbina corymbosa (Convolvulaceae)

Background – Population growth of lianas in the tropical forest is credited to their ability of CO2 sequestration and efficiency of the narrow stems to supply water required for the amount of foliage it bears. Turbina corymbosa (L.) Raf. (Convolvulaceae Juss.) is one of the fast-growing invasive species of scrambling woody lianas. It covers trees entirely within a short period to compete with above-ground resources (particularly sunlight). However, no information is available on how it manages to cope up with an increasing demand of water supply and mineral nutrients. What are the structural and developmental patterns adapted by this species to expand the stem diameter for efficient supply of below-ground resources? Therefore, our aim was to investigate the secondary growth patterns and structure of secondary xylem and phloem in T. corymbosa.Methods – Several samples of the stem with various diameters were studied using a histological method. Morphological and anatomical analyses were carried out using light microscopy.Key results – With the initiation of secondary growth, stems lose their circular outline rapidly due to unequal deposition of secondary xylem and formation of successive cambia. New successive cambia initiate from parenchymatous cells as small crescent-shaped fragments on asymmetric/opposite sides and result in a different stem conformation. Though several segments of successive cambia are formed, very few stem samples form complete cambium rings. The secondary xylem formed by successive cambia is diffuse porous with indistinct growth rings and is composed of both wide and narrow (fibriform) vessels, tracheids, fibres, axial and ray parenchyma cells. The secondary phloem consists of sieve tube elements, companion cells, axial and ray parenchyma cells. In fully grown plants, cambial action (internal cambium) occurrs between the intraxylary phloem and protoxylem and produces secondary xylem and phloem near the pith region.Conclusion – Structural alterations and unequal deposition of conducting elements, occurrence of intraxylary phloem and flattening of the stem are suggested to facilitate rapid growth of the plants by providing required minerals and nutrients. Internal cambium formed at the periphery of the pith is bidirectional and produces secondary xylem externally and intraxylary phloem internally. Continued development of intraxylary phloem from the internal cambium provides an additional path for rapid and safe translocation of photosynthates.
Area Identification for Sewage Treatment Plant Installation Using Maps Algebra

The aim of this study was to evaluate the possibility of identifying areas for the Sewage Treatment Plants plant (WWTP) using maps algebra. Considering the high cost of the GIsS for a company, gvSIG version 2.2 was used. The study area was the city of Coronel Sapucaia / MS. Some of the criteria that are taken into account by decision makers paragraph leasing this type of venture were represented in issue cards allowing your spatial visualization, enabling an operation math, using the maps as parameters in the form of equations to assist in decision making. The product obtained was an aptitude letter to WWTP installation for Municipality. With free software WRPLOT View was elaborated, in addition a pre-selection, a prevailing rose winds of the study area. In place among regions as more suitable given the letter elaborately fitness, selected to property with paragraph necessary area house a treatment plant with a lower acquisition cost. The technique developed in this work facilitated the initial mapping paragraph pre-selection propitious areas the Resort, featuring in a useful tool and low cost paragraph aid to decision making.
Jones et al.: Termites of Mona Island 305 SURVEY AND ECOLOGICAL STUDIES OF THE TERMITES (ISOPTERA: KALOTERMITIDAE) OF MONA ISLAND

A survey of eight sites on Mona Island revealed four termite species in the family Kalotermitidae: Incisitermes nr. bequaerti (Snyder), I . nr. incisus (Silvestri), Neotermes mona (Banks), and Procryptotermes corniceps (Snyder). Incisitermes nr. bequaerti is a new record for the island. Identifiable wood hosts are reported. All species were found in dead wood, which is typical of drywood termites, but N. mona and P. corniceps were also collected from live wood. Examination of dead wood in three 9.3 m 2 plots in a dense stand of Leucaena leucocephala (Lam.) de Wit. revealed that an average of approximately three-quarters of the wood pieces were attacked by termites. Although the total volume of dead wood was almost six times greater in Plot 1 than in the other two plots, the number of termites per unit volume of dead wood was very similar (0.4 per cm 3 ). Total numbers of individuals per colony ranged from 11 to 3,359 termites. Caste composition is reported for each colony, and large variations among colonies were noted. Alates as well as eggs were more common in larger colonies. Soldier percentages ranged from 0.7% to 20.5% in 16 P. corniceps colonies. The largest colonies occurred when the greatest volume of dead wood was available.
An Optimal Clustering Approach In Web Usage Mining For Recommendation System

: Web usage mining is used to identify and understand patterns that are taken from web data. Web usage mining is one of the applications of Data mining procedures to perceive and comprehend the requirements of electronic uses. In other words, the quick development of web-based business has incited the item to be over-burden, where the clients on the web are not ready to successfully choose the items they are presented to. To overcome these issues, web usage mining can be used to generate patterns. Web usage mining is an effective technique for extracting knowledge from unstructured data. In our research work, we are using HMM ranking and Expectation Minimization-Gaussian Mixture Model (EM-GMM) clustering for generating better patterns for the ease of web based services. The research work is performed on MATLAB simulation tool for generating rules for clusters first and second.
Discovering Gaps in Saudi Education for Digital Health Transformation

The growing complexity of healthcare systems worldwide and the medical profession’s increasing dependency on information technology for accurate practice and treatment call for specific standardized education in health informatics programming, and accreditation of health informatics programs based on core competencies is progressing at an international level. This study investigates the state of affairs in health informatics programs within the Kingdom of Saudi Arabia (KSA) to determine (1) how well international standards are being met and (2) what further development is needed in light of KSA’s recent eHealth initiatives. This descriptive study collected data from publicly available resources to investigate Health Informatics programs at 109 Saudi institutions. Information about coursework offered at each institution was compared with American Medical Informatics Association (AMIA) curriculum guidelines. Of 109 institutions surveyed, only a handful offered programs specifically in health informatics. Of these, most programs did not match the coursework recommended by AMIA, and the majority of programs mimicked existing curricula from other countries rather than addressing unique Saudi conditions. Education in health informatics in KSA appears to be scattered, non-standardized, and somewhat outdated. Based on these findings, there is a clear opportunity for greater focus on core competencies within health informatics programs. The Saudi digital transformation (eHealth) initiative, as part of Saudi Vision 2030, clearly calls for implementation of internationally accepted health informatics competencies in education programs and healthcare practice, which can only occur through greater collaboration between medical and technology educators and strategic partnerships with companies, medical centers, and governmental institutions.