Miracle-dz/UniFAR-FTUs huggingface dataset:
A Numerical Study of Traveling Microbursts

Abstract An analysis of traveling microbursts in unidirectionally sheared environments is undertaken using a three-dimensional numerical model with 50-m resolution in a 19 × 12 × 4 km domain. For each run, the cooling source is centered at a height of 2 km and travels in an eastward direction of Cm, where Cm = 3, 6, 9, 12, and 15 m s−1. Environmental winds above 2 km are equal to Cm and decay linearly to 0 m s−1 below 2 km. The authors examine the kinetic energy budget of each run, focusing on the dynamic features that are not found in a static microburst simulation. As the source speed Cm increases from 0 to 9 m s−1, the magnitude of the surface horizontal winds increase in the direction of source movement. An examination of the dynamic pressure equation shows that rotationally induced pressure work forces are primarily responsible for increasing surface horizontal winds for the moving-source microbursts. In a similar form to previous studies of vertical perturbations in a sheared environment, elevated h.
A Novel Two-Stage Deep Learning Model for Network Intrusion Detection: LSTM-AE

Machine learning and deep learning techniques are widely used to evaluate intrusion detection systems (IDS) capable of rapidly and automatically recognizing and classifying cyber-attacks on networks and hosts. However, when destructive attacks are becoming more extensive, more challenges develop, needing a comprehensive response. Numerous intrusion detection datasets are publicly accessible for further analysis by the cybersecurity research community. However, no previous research has examined the performance of the proposed model on a variety of publicly accessible datasets in detail. Due to the dynamic nature of the attack and its rapidly changing attack techniques, the publicly accessible intrusion datasets must be updated and benchmarked regularly. The deep neural network (DNN) and convolutional neural network (CNN) are examined in this article as types of deep learning models for developing a flexible and effective IDS capable of detecting and comparing them with the proposed model in detecting cyber-attacks. The constant development of network behavior and the fast growth of attacks need the development of IDS and the evaluation of many datasets produced over time through static and dynamic methods. This kind of research enables the identification of the most efficient algorithm for identifying future cyber-attacks. We proposed a novel two-stage deep learning technique hybridizing Long-Short Term Memory (LSTM) and Auto-Encoders (AE) for detecting attacks. The CICIDS2017 and CSE-CICDIS2018 datasets are used to determine the optimum network parameters for the proposed LSTM-AE. The experimental results show that the proposed hybrid model works well and is applicable for detecting attacks in modern scenarios.
The Almost Lindelöf Degree

Abstract In [A], Arhangel'skii showed that for any T2 space X, |X|≤2 L(x)χ(x), where L(X) is the Lindelöf degree of X and χ(X) is the character of X. In [B], Bell, Ginsburg and Woods improved this result, assuming normality, by showing that for T4 spaces X, |X|≤2 wL(x)χ(x), where wL(X) is the weak Lindelöf degree of X. We introduce below a new cardinal function aL(X), the almost Lindelöf degree of X, which agrees with L(X) on T3 spaces, but which is often smaller than L(X) on T2 spaces, and show that for T2 spaces X,
What Do Differences between Alternating and Sequential Diadochokinetic Tasks Tell Us about the Development of Oromotor Skills? An Insight from Childhood to Adulthood

Oral diadochokinetic (DDK) tasks are common research and clinical tools used to test oromotor skills across different age groups. They include alternating motion rate (AMR) and sequential motion rate (SMR) tasks. AMR tasks involve repeating a single syllable, whereas SMR tasks involve repeating varying syllables. DDK performance is mostly discussed regarding the increasing rates of AMR and SMR tasks from childhood to adulthood, although less attention is given to the performance differences between SMR and AMR tasks across age groups. Here, AMR and SMR syllabic rates were contrasted in three populations: 7–9-year-old children, 14–16-year-old adolescents and 20–30-year-old adults. The results revealed similar syllabic rates for the two DDK tasks in children, whereas adolescents and adults achieved faster SMR rates. Acoustic analyses showed similarities in prosodic features between AMR and SMR sequences and in anticipatory coarticulation in the SMR sequences in all age groups. However, a lower degree of coarticulation was observed in children relative to adults. Adolescents, on the contrary, showed an adult-like pattern. These findings suggest that SMR tasks may be more sensitive to age-related changes in oromotor skills than AMR tasks and that greater gestural overlap across varying syllables may be a factor in achieving higher rates in SMR tasks.
Gapwaveguide Automotive Imaging Radar Antenna With Launcher in Package Technology

A 77 GHz gapwaveguide radar antenna system with launcher-in-package (LiP) technology is presented in this paper for automotive imaging applications. Firstly, state-of-the-art LiP technology integrated with radar transceivers is proposed. The transceivers are equipped with waveguide interfaces for RF connection, enabling direct integration with waveguide antennas. Robust interconnects for coupling transceivers to waveguide antennas with non-galvanic contacts are proposed using gapwaveguide packaging technology. A simultaneous multi-mode imaging radar system using 4 cascaded aforementioned transceivers is introduced. Designated antenna elements of the system are realized by slot arrays with center-fed ridge gapwaveguides. Ultimately, the imaging radar antenna has a top radiating slot layer, a middle distribution layer and a bottom interconnect layer capable of accommodating 4 LiP radar transceivers with considerable assembly tolerance which is really one of the key aspects for commercial automotive radar applications. Input matching and radiation patterns of the antenna are verified by measurement. The results indicate that the proposed gapwaveguide imaging radar antenna in conjunction with the novel LiP packaging is able to serve the radar system properly. To the best of the authors’ knowledge, the proposed gapwaveguide antenna system is the first imaging radar antenna system ever developed for LiP components. This work provides a compact, high-efficiency and cost-effective solution for the integration of complex radar systems with waveguide antennas.
OBHS Drives Abnormal Glycometabolis Reprogramming via GLUT1 in Breast Cancer

Due to the poor metabolic conditions fomenting the emergence of the Warburg effect (WE) phenotype, abnormal glycometabolism has become a unique and fundamental research topic in the field of tumor biology. Moreover, hyperglycemia and hyperinsulinism are associated with poor outcomes in patients with breast cancer. However, there are a few studies on anticancer drugs targeting glycometabolism in breast cancer. We hypothesized that Oxabicycloheptene sulfonate (OBHS), a class of compounds that function as selective estrogen receptor modulators, may hold potential in a therapy for breast cancer glycometabolism. Here, we evaluated concentrations of glucose, glucose transporters, lactate, 40 metabolic intermediates, and glycolytic enzymes using an enzyme-linked immunosorbent assay, Western blotting, and targeted metabolomic analysis in, in vitro and in vivo breast cancer models. OBHS significantly inhibited the expression of glucose transporter 1 (GLUT1) via PI3K/Akt signaling pathway to suppress breast cancer progression and proliferation. Following an investigation of the modulatory effect of OBHS on breast cancer cells, we found that OBHS suppressed the glucose phosphorylation and oxidative phosphorylation of glycolytic enzymes, leading to the decreased biological synthesis of ATP. This study was novel in highlighting the role of OBHS in the remodeling of tumor glycometabolism in breast cancer, and this is worth further investigation of breast cancer in clinical trials.
Attachment, Feeding Practices, Family Routines and Childhood Obesity: A Systematic Review of the Literature

Childhood obesity is considered a major public health problem. To help prevention and intervention programs targeting families with obese children, this paper is aimed at synthesizing multifactorial and transactional data resulting from studies and reviews assessing relational factors between the child and his or her parents and the child’s obesity risk, including the child’s and CG’s attachment quality, parental feeding practices, and family routines. It is also aimed at assessing the mediation of these links by specific self-regulatory capacities across different developmental periods (0–2, 2–8, and 8–18 years old). The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were applied in the review methodology. Ten papers were analyzed, including seven empirical studies and three reviews proposing etiological models of childhood obesity. The quality of empirical studies was assessed, and a synthetical model of the results was proposed. This literature review showed that the caregiver’s (CG) and the child’s attachment quality, along with controlling or permissive feeding practices, and few family routines are mostly mediated by appetite dysregulation and emotional regulation strategies with the development of child obesity. New research topics are proposed to understand other facets of childhood obesity, as well as how to better prevent and treat it.
Rapid engineering of SARS-CoV-2 therapeutic antibodies to increase breadth of neutralization including BQ.1.1, CA.3.1, CH.1.1, XBB.1.16, and XBB.1.5

Abstract SARS-CoV-2 Omicron variant XBB.1. 5 has shown extraordinary immune escape even for fully vaccinated individuals. There are currently no approved antibodies that neutralize this variant, and continued emergence of new variants puts immunocompromised and elderly patients at high risk. Rapid and cost-effective development of neutralizing antibodies is urgently needed. Starting with a single parent clone that neutralized the Wuhan-Hu-1 strain, antibody engineering was performed in iterative stages in real time as variants emerged using a proprietary technology called STage-Enhanced Maturation. An antibody panel that broadly neutralizes currently circulating Omicron variants was obtained by in vitro affinity maturation using phage display. The engineered antibodies show potent neutralization of BQ.1. 1, XBB.1. 16, and XBB.1. 5 by surrogate virus neutralization test and pM KD affinity for all variants. Our work not only details novel therapeutic candidates but also validates a unique general strategy to create broadly neutralizing antibodies to current and future SARS-CoV-2 variants.
Metaverse for Exercise Rehabilitation: Possibilities and Limitations

Objectives: This study aimed to obtain a consensus agreement from an expert panel on the metaverse for exercise rehabilitation in stroke patients using the Delphi technique. Methods: This study recruited twenty-two experts and conducted three rounds of online surveys between January and February 2023. The Delphi consensus technique was performed online to review and evaluate the framework module. A panel of experts, including scholars, physicians, physical therapists, and physical education specialists in the Republic of Korea, was invited to participate in this study. For each round, the expert consensus was defined as more than 90% of the expert panel agreeing or strongly agreeing with the proposed items. Results: A total of twenty experts completed the three Delphi rounds. First, virtual reality-assisted (VR) treadmill walking could improve cognitive function, concentration, muscular endurance, stroke prevention, proper weight maintenance, and cardiorespiratory function. Second, related technology, safety, price, place, and securing experts would be obstacles or challenges in VR-assisted treadmill walking for stroke patients. Third, the role of exercise instructors in exercise planning, performance, and assessment for VR-assisted treadmill walking is equally important, and reeducation for them is required. Fourth, VR-assisted treadmill walking for stroke patients requires an exercise intensity of at least five times a week, about one hour each time. Conclusions: This study showed that the metaverse for exercise rehabilitation for stroke patients could be successfully developed and would be feasible to be implemented in the future. However, it would have limitations in terms of technology, safety, price, place, and expert factors to be overcome in the future.
A note on equating test scores with covariates

Test score equating is the statistical process that is used to ensure that test scores from different versions of a test, for example achievement tests are comparable. There exist a number of data collection designs and test equating methods depending on if we have access to common items on the test versions or common test takers. One common data collection design is the equivalent group (EG) design which require the test taker group to be similar even if the test versions are administered at different places or at different time points. Another common data collection design is the non-equivalent groups with anchor test (NEAT) design which require the access to a number of common items (i.e. an anchor test) that has been given to a large number of test takers. The NEAT design is preferable in many test situations. A problem with the NEAT design is that although two groups might be nonequivalent we may not always have access to an anchor test. Recently, a number of ways to circumvent this has been proposed which not only uses test scores but also covariates. The aim of this note is to highlight some future challenges when equating test scores when we have nonequivalent groups and no anchor test. During 2015 three independent studies were published which all used covariates in test score equating in different ways. In the first study, by Wiberg and Bränberg (2015), covariates were actively used to improve the test equating through a new design called the non-equivalent groups with covariates (NEC) design. In the NEC design, the test takers are categorized through a
Analysis of Factors Affecting The Success of Business Performance in Leading Products of Micro and Small Medium Enterprises in Central Java

Purpose: This study aims to determine the internal factors and external factors that influence the success of Micro and Small Medium Enterprises’s business performance of leading products in Central Java. Respondents in this study were 181 MSMEs delivered from various regencies in Central Java Province. Methodology: Hypothesis testing conducted by performing multiple linear regression tests with SPSS 25 for windows. Main Findings: The results of the study showed that internal factors: human resources, the use of accounting information and the use of information technology had a significant positive effect on the success of business performance and external factors which are government support and the business climate also had a significant positive effect on the success of business performance. Implication: The future studies could be more specialized in the types of MSMEs such as: business food, batik or handicraft so that the research results can be compared. Further research can also add both internal or external variables such as owner knowledge, business age, business scale or competitiveness. Future studies can also use other variables as moderating or intervening variables. Novelty/Originality of this Study: To date, there are no studies that examine internal factors (the ability of human resources, the use of accounting information and the use of information technology) and external factors (government support and business climate) affecting the success of business performance in leading products of micro and small medium enterprises in central java
A Survey of the Menstrual Status of Female College Students

Education about menstruation is a sensitive topic for young female students; providing appropriate knowledge is essential for maintaining and improving their health. The present study was conducted to collect data corresponding to different factors affecting health among young individuals; the menstrual status, exercise habits, sleep status, and body composition of these individuals as well as the relationships among these factors, were evaluated. Altogether, 200 female students responded to the survey; 129 completed all the physical measurement items. As a case study, face-to-face interviews regarding menstrual symptoms were conducted. Results showed that 49/200 (25%) and 120/200 (60%) participants experienced moderate or severe pain before and during menstruation, respectively. The degree of pain one week before menstruation and during menstruation were significantly positively correlated (r = 0.573, p < 0.01). When analyzed as group data, it was difficult to identify the relationship between menstrual status, exercise habits, and sleep status; these were found to be intricately associated with various factors. The case study analysis confirmed that some individuals experienced physical and psychological symptoms, such as irregular menstrual cycles, premenstrual syndrome, and severe menstrual cramps.
Mejoras a la demostración interactiva de propiedades Alloy utilizando SAT-Solving

El analisis formal de especificaciones de software suele atacarse desde dos enfoques, usualmente llamados: liviano y pesado. En el lado liviano encontramos lenguajes faciles de aprender y utilizar junto con herramientas automaticas de analisis, pero de alcance parcial. El lado pesado nos ofrece lograr certeza absoluta, pero a costo de [. ]
Factors promoting and hindering sporting success among South African former Olympians from historically disadvantaged areas

There are various contributing factors to sporting success among elite athletes, including Olympians. The purpose of this paper was to investigate the enablers and/or barriers to sporting success among South African former Olympians from historically disadvantaged areas (HDAs) using the SPLISS framework. This would enable an understanding of the factors that lead to sporting success among athletes from HDAs. A qualitative research design was employed for this study, whereby semi-structured interviews were conducted among 15 former Olympians who represented South Africa between the 1992 and 2016 Olympic Games. The ATLAS.ti (version 22) software tool was used to analyse the data. The study found that athletes from HDAs attributed their sporting success to the functional competition structure, sports access at community level, access to scholarships and bursaries to elite schools/universities, good coaching support and mentorship, access to local and international competitions, as well as community and peer athlete support. The highest barriers reported by athletes were inadequate financial support, a dysfunctional school sport system, lack of sports facilities, equipment and transport system, poor post-career and scientific support. Elite athletes from HDAs need consistent financial support, school/foundation level sport access, quality sports facilities, equipment, and reliable transport to training and competitions, post-career, as well as scientific support to achieve their full potential and attain international sporting success.
Consumers' reverse exchange behavior and e-waste recycling to promote sustainable post-consumption behavior

PurposeThis study aims to have a holistic understanding of psychological determinants of consumers' e-waste recycling behavior to promote sustainable post-consumption behavior through end-of-life electronic products exchange (EEPE) program.Design/methodology/approachThe study integrated additional cognitive and noncognitive factors within the Theory of Planned Behavior. Data were collected from 334 participants who were purposively recruited from well-known online retailers in an emerging market, with the data analyzed using structural equation modeling.FindingsThe results provide some fresh insights, such as the significant positive influence of recycling habits, economic benefits and attitudes toward nudging on EEPE, with a distinct serial mediation link from recycling habits to EEPE behavior.Practical implicationsThis study highlights some relevant sustainable marketing strategies including the integration of nudging and habits as behavioral interventions for promoting e-waste recycling.Originality/valueThe originality of this study relates to (1) testing the significance of nudging in promoting sustainable postconsumption behavior and (2) revealing a serial mediation effect of recycling habits on EEPE behavior via attitude toward e-waste recycling and EEPE intention.
Improvements in School Food Offerings over Time: Variation by School Characteristics

The 2010 Healthy, Hunger-Free Kids Act (HHFKA) improved the nutritional quality of food served in schools. This longitudinal study examined school food offerings over time from school year 2010-11 to 2017-18 in public schools (n = 148) in four New Jersey cities. Six food indices were used to assess the number of healthy and unhealthy items offered as part of the National School Lunch Program (NSLP), in vending machines, and à la carte (i.e., competitive foods). Multilevel, multivariable linear regression with quadratic terms was used to model the trends over time. Interaction terms were added to examine whether the time trends varied by school-level factors, such as proportion of students eligible for free or reduced-price meals (FRPMs), race/ethnicity of enrolled students, and school level. Over the study period, healthy items offered in the NSLP increased (p < 0.001), while unhealthy items in the NSLP decreased (p < 0.001). Significantly different rates of declines in NSLP unhealthy offering were observed among schools at the two extremes of FRPM eligibility (p < 0.05). The trends for healthy and unhealthy foods offered in competitive foods showed significant non-linear trends, and differences were observed for school-level race/ethnicity, with worse outcomes for schools with majority Black student enrollment.
Amorphous Pterostilbene Delivery Systems Preparation—Innovative Approach to Preparation Optimization

The aim of our research was to improve the solubility and antioxidant activity of pterostilbene (PTR) by developing a novel amorphous solid dispersion (ASD) with Soluplus® (SOL). DSC analysis and mathematical models were used to select the three appropriate PTR and SOL weight ratios. The amorphization process was carried out by a low-cost and green approach involving dry milling. An XRPD analysis confirmed the full amorphization of systems in 1:2 and 1:5 weight ratios. One glass transition (Tg) observed in DSC thermograms confirmed the complete miscibility of the systems. The mathematical models indicated strong heteronuclear interactions. SEM micrographs suggest dispersed PTR within the SOL matrix and a lack of PTR crystallinity, and showed that after the amorphization process, PTR-SOL systems had a smaller particle size and larger surface area compared with PTR and SOL. An FT-IR analysis confirmed that hydrogen bonds were responsible for stabilizing the amorphous dispersion. HPLC studies showed no decomposition of PTR after the milling process. PTR’s apparent solubility and antioxidant activity after introduction into ASD increased compared to the pure compound. The amorphization process improved the apparent solubility by ~37-fold and ~28-fold for PTR-SOL, 1:2 and 1:5 w/w, respectively. The PTR-SOL 1:2 w/w system was preferred due to it having the best solubility and antioxidant activity (ABTS: IC50 of 56.389 ± 0.151 µg·mL−1 and CUPRAC: IC0.5 of 82.52 ± 0.88 µg·mL−1).