Miracle-dz/UniFAR-FTUs huggingface dataset:
A Laboratory Study of the Transfer of Momentum Across the Air-Sea Interface in Strong Winds

of a dissertation at the University of Miami. Dissertation supervised by Professor Mark Donelan. No. of pages in text. (101) A quantitative description of wind-wave and wind-current momentum transfer in high wind conditions is currently unresolved, mainly due to the severe character of the problem. It is, however, necessary for accurate wave models, storm and hurricane forecasting, and atmosphere-ocean model coupling. In this research, strongly forced wind-wave conditions were simulated in a laboratory tank. On the air side, a static pressure probe mounted on a vertical wave follower measured wave-induced airflow pressure fluctuations in close proximity to the surface. Vertical profiles of wave-induced pressure fluctuations were resolved and wave phase dependent features, such as airflow separation, identified. Based on the pressure measurements, wind-wave momentum fluxes were obtained. The dependence of the spectral wave growth function on wind forcing, wave steepness, and wave crest sharpness was also investigated. The bulk air-sea momentum fluxes were estimated using the “total budget” experimental technique. It provided information on the contribution of a wind-wave flux induced by a single wave to the total air-sea momentum flux. The percentile contribution of wind-wave momentum flux into one wave was found to be dependent on the wave’s steepness. An arbitrary change in steepness, however, was found to modify the wave field in such a way that it had little effect on the total wind stress. To complement wind stress measurements velocity profiles in the water were measured using Particle Image Velocimetry technique. Mean current, turbulent stress, turbulent kinetic energy and turbulent dissipation rate vertical profiles were studied as a function of wind speed. Together with wave spectrum evolution measurements they form a complete empirical description of momentum fluxes in the laboratory tank. The results provide a detailed empirical view on airflow pressure fluctuations over a wavy surface, on total wind stress, and on the velocity response in the water. A new wave growth parameterization with wind forcing range extended into storm conditions is the most significant stand alone result of this work. Combined with the near surface vertical profiles, these empirical data also serve as a test bed for coupled air-sea numerical models.
Pengaruh Enterprise Resource Planning (ERP) Terhadap Kinerja Perusahaan Usaha Kecil Menengah

Meningkatnya Perusahaan Usaha Kecil Menengah (UKM) yang menggunakan Enterprise Resource Planning (ERP) akan terjadi ketika pemilik usaha tersebut menyadari keuntungan yang didapatkan dari penggunaan ERP terhadap kinerja perusahaan baik dari segi yang dapat terlihat maupun yang tidak terlihat. Keuntungan dari penggunaan ERP dapat diindentifikasi dalam segi operasional, manajemen, strategi, dan dari sisi organisasi. Untuk meningkatkan keberhasilan penggunaan ERP, organisasi perusahaan harus mengetahui hambatan yang mungkin terjadi dalam mencapai manfaat yang diharapkan, terkhusus pada masalah yang berkaitan dengan manusia yang cenderung lebih dominan dibandingkan hal yang bersifat teknis. ERP diharapkan dapat membantu kinerja perusahaan dengan cara mengintegrasikan berbagai sektor bisnis. Dari sudut pandang bisnis secara keseluruhan, ERP pada dasarnya menghadirkan pengurangan biaya, pengurangan persediaan di gudang, dan meningkatkan performa operasional. Deloirette Consulting menjelaskan bahwa keuntungan dari ERP menjadi dua jenis yaitu, yang terlihat dan tidak terlihat. Namun beberapa faktor harus dipertimbangkan untuk menganalisis kebutuhan UKM terhadap ERP, dimana ketika ERP digunakan maka perusahaan harus mempersiapkan diri baik dari segi teknis maupun sumber daya manusia. Untuk mendapatkan penggunaan implementasi ERP yang efektif, UKM harus mempertimbangkan kemampuan mereka dalam aspek teknis (misalnya strategi implementasi, paket ERP, konfigurasi sistem, tingkat penyesuaian dan biaya implementasi) dan aspek manusia (misalnya pendidikan dan pelatihan personel, pengembangan keterampilan, dan manajemen perubahan).
Multimodal Fake-News Recognition Using Ensemble of Deep Learners

Social networks have drastically changed how people obtain information. News in social networks is accompanied by images and videos and thus receives more attention from readers as opposed to traditional sources. Unfortunately, fake-news publishers often misuse these advantages to spread false information rapidly. Therefore, the early detection of fake news is crucial. The best way to address this issue is to design an automatic detector based on fake-news content. Thus far, many fake-news recognition systems, including both traditional machine learning and deep learning models, have been proposed. Given that manual feature-extraction methods are very time-consuming, deep learning methods are the preferred tools. This study aimed to enhance the performance of existing approaches by utilizing an ensemble of deep learners based on attention mechanisms. To a great extent, the success of an ensemble model depends on the variety of its learners. To this end, we propose a novel loss function that enforces each learner to attend to different parts of news content on the one hand and obtain good classification accuracy on the other hand. Also, the learners are built on a common deep-feature extractor and only differ in their attention modules. As a result, the number of parameters is reduced efficiently and the overfitting problem is addressed. We conducted several experiments on some widely used fake-news detection datasets. The results confirm that the proposed method consistently surpasses the existing peer methods.
Fatigue and Training Load Factors in Volleyball

The purpose of this article was to determine the internal and external loads experienced by volleyball players in a weekly cycle during the competitive season. Using accelerometers, as well as subjective rating perceived exertion (RPE) and total quality recovery scale (TQR) questionnaires, eleven female athletes were monitored during five days of training sessions over the course of the 2021 season. The data were evaluated for trends during the start period in preparation for the championship tournament. Analysis of the accelerometer data revealed a relationship between RPE and session rating perceived exertion (s-RPE), as well as the number of total accelerations. It was reported that on the training days of the same well-being level, the jump number values were significantly different. The results suggest that monitoring athletes for the number of accelerations can be used to understand the needs of volleyball players and to improve the design of training and recovery days to optimize athletes’ well-being.
Robustness of stein's two stage procedure

We go back to the well known Stein two stage confidence interval and find global upper bounds on the ratio of the expected sample size for appropriate nonnormal data and normal data. The first stage sample size is taken to be 2 and the nonnormal distributions considered are the bounded uniform, t with 3 and 5 degree of freedom, the Double Exponential, the Logistic, and the Von Mises extreme value density. Notice the last distribution is asymmetric.
The Cozero-divisor Graph of a Commutative Ring

For a commutative ring R with non-zero identity, we denote the set of nonzero elements x in R with xR ∕= R byW ∗(R). So W ∗(R) is the set of non-units of R. In this paper, we introduce the cozero-divisor graph Γ′(R), which is a dual of zero-divisor graph Γ(R) ‘in some sense’, as the (undirected) graph with vertices W ∗(R) and for two distinct elements x and y in W ∗(R), the vertices x and y are adjacent if and only if x ∕∈ yR and y ∕∈ xR. We investigate the interplay between the ring-theoretic properties of R and graph-theoretic properties of Γ′(R). Also we study the relations between two graphs Γ(R) and Γ′(R).
A Look at Perturbation Approximations for Epidemics

Perturbation-type approximations have been derived by many authors for epidemics and related problems. Here we use the standard perturbation technique familiar to physicists to approximate the mean and variance of paths of some epidemic processes. For epidemics with no removals the saddlepoint approximation to the distribution of infectives is highly accurate for quite small populations and can be used to assess the accuracy of perturbation approximations. For epidemics with removals no saddlepoint approximation is available and simulations have to be used for comparison. The technique turns out to be equivalent to Daley and Kendall's method of 'diffusion of arbitrary constants'.
Transcriptome Analyses Identify Deregulated MYC in Early Onset Colorectal Cancer

Despite a global decrease in colorectal cancer (CRC) incidence, the prevalence of early-onset colorectal cancer (EOCRC), or those occurring in individuals before the age of 50, has steadily increased over the past several decades. When compared to later onset colorectal cancer (LOCRC) in individuals over 50, our understanding of the genetic and molecular underpinnings of EOCRCs is limited. Here, we conducted transcriptomic analyses of patient-matched normal colonic segments and tumors to identify gene expression programs involved in carcinogenesis. Amongst differentially expressed genes, we found increased expression of the c-MYC proto-oncogene (MYC) and its downstream targets in tumor samples. We identified tumors with high and low differential MYC expression and found patients with high-MYC tumors were older and overweight or obese. We also detected elevated expression of the PVT1 long-non-coding RNA (lncRNA) in most tumors and found gains in copy number for both MYC and PVT1 gene loci in 35% of tumors evaluated. Our transcriptome analyses indicate that EOCRC can be sub-classified into groups based on differential MYC expression and suggest that deregulated MYC contributes to CRCs that develop in younger patients.
Resilience in Teachers: Validation of the Spanish Version of the CD-RISC10© Scale in Early Childhood, Primary and Special Education Teachers

Schools are a fundamental context for processes of promotion and generation of resilience, since they focus not only on aspects of academic development, but also of personal and social development. Resilience in the teacher has a dual function. On the one hand, as resilient professionals, teachers can foster the development of resilience in their students; on the other hand, teaching resilience facilitates their own personal and professional well-being. Despite research highlighting the benefits of resilience in education, there is scarce research focused on assessing resilience in teachers. Thus, the aim of this paper is to analyze the psychometric properties of the Spanish version of Connor and Davidson’s 10-item resilience scale (CD-RISC 10©) in a sample of 290 teachers. A confirmatory factorial analysis (CFA) is performed, which shows that the 10 items on the CD-RISC 10© Resilience Scale form a one-dimensional structure, with high reliability, McDonald’s Omega coefficient (ω = 0.80) and Cronbach’s alpha coefficient (α = 0.87). The results obtained in this work support the use of the scale for the assessment of resilience in teachers of Infant, Primary and Special Education, which is considered very useful, not only to know their degree of resilience, but also to assess the effectiveness of training programs.
The Practicality of Post-mortem Imaging in Prenatal, Perinatal, and Pediatric Cases

The essential role of the autopsy is seen in its contributions to medical care, scientific research, and family counseling. Major contributions are also noted in forensic pathology as a means to determine cause-of-death for legal and medical experts. However, autopsy acceptance rates are quite low due to an array of reasons including delayed burials, faith, and moral burdening. Thus, non-invasive post-mortem imaging strategies are becoming increasingly popular. The objective of this literature review is to evaluate the strengths and weaknesses of numerous post-mortem imaging modalities and consider their benefits over the traditional autopsy. The need for expertise in image interpretation for pediatric and perinatal cases is also discussed. A variety of publications, totaling 32 pieces, were selected from available literature on the basis of relevance. These articles studied various perinatal and pediatric post-mortem imaging strategies and their applications in clinical practice. Key strategies include post-mortem MRI, post-mortem CT, fetal post-mortem sonography, post-mortem computed tomographic angiography, and three-dimensional surface scanning. There is a general consensus that no standard model for post-mortem imaging currently exists in the United States and European countries. Amongst the imaging modems studied, post-mortem MRI has been acknowledged to show the greatest promise in diagnostic accuracy for fetal age groups. Most studies demonstrated that post-mortem CT had limited use for autopsy. Post-mortem imaging strategies for autopsy have high potential given their minimal invasiveness and increasing popularity. Furthermore, it is vital to crafting a global standard procedure for post-mortem imaging for prenatal, perinatal, and pediatric cases to better understand the cause of death, decomposition factors, and effects in-utero, and to provide an alternative to traditional autopsy.
Correlation between resilience and social support in mothers of young children with autism. Polish perspective

BACKGROUND The aim of the study was to analyse the relationship between the level of resilience and the perceived social support, primarily emotional and instrumental varieties, among mothers of children with autistic spectrum disorder (ASD). PARTICIPANTS AND PROCEDURE The study involved 143 individuals aged 26-51 years (M = 38.41, SD = 5.02), mothers of children with ASD. The Berlin Social Support Scales and the Resilience Scale were used as data collection tools. RESULTS There were statistically significant positive correlations between the perceived emotional and instrumental support and all the dimensions of psychological resilience. CONCLUSIONS The results are consistent with other results presented in a similar area, but the specific context of this study should be considered – in Poland, the medical model of disability still plays a dominant role, which means that little consideration is given to the needs and problems of families raising a child with disabilities.
The Veneziano Limit of N = 2 Superconformal QCD: Towards the String Dual of N = 2 SU(N(c)) SYM with N(f) = 2 N(c)

We attack the long-standing problem of finding the AdS dual of N = 2 superconformal QCD, the N=2 super Yang Mills theory with gauge group SU(N_c) and N_f = 2 N_c fundamental hyper multiplets. The theory admits a Veneziano expansion of large N_c and large N_f, with N_f/N_c and lambda = g^2 N_c kept fixed. The topological structure of large N diagrams motivates a general conjecture: the flavor-singlet sector of a gauge theory in the Veneziano limit is dual to a closed string theory; single closed string states correspond to "generalized single-trace" operators, where adjoint letters and flavor-contracted fundamental/antifundamental pairs are stringed together in a closed chain. We look for the string dual of N = 2 superconformal QCD from two fronts. From the bottom-up, we perform a systematic analysis of the protected spectrum using superconformal representation theory. We also evaluate the one-loop dilation operator in the scalar sector, finding a novel spin chain. From the top-down, we consider the decoupling limit of known brane constructions. In both approaches, more insight is gained by viewing the theory as the degenerate limit of the N = 2 Z_2 orbifold of N = 4 SYM, as one of the two gauge couplings is tuned to zero. A consistent picture emerges. We conclude that the string dual is a sub-critical background with seven "geometric" dimensions, containing both an AdS_5 and an S^1 factor. The supergravity approximation is never entirely valid, even for large lambda, indeed the field theory has an exponential degeneracy of exactly protected states with higher spin, which must be dual to a sector of light string states.
Impact of an Abdominal Compression Bandage on the Completion of Colonoscopy for Obese Adults: A Prospective Randomized Controlled Trial

Methods Eligible patients were randomly allocated into the abdominal bandage and conventional groups during a routine colonoscopy. The primary outcome was CCR. Results A total of 250 eligible patients were randomly assigned to the abdominal bandage and conventional groups from January 2021 to April 2021. Eleven patients (five in the abdominal bandage group and six in the conventional group) were excluded due to schedule cancellation after randomization, and 239 patients were eventually included in the final analysis. There were no significant differences between the two groups regarding baseline characteristics (P > 0.05). Furthermore, no significant differences were observed in terms of advanced adenoma detection rate (AADR), polyp detection rate (PDR), bowel preparation scale (BBPS), bubble scale (BS), and withdrawal time between the two groups (P > 0.05). However, compared with the conventional group, the cecal insertion time (CIT) of the abdominal bandage group was significantly shortened (279.00 (234.50–305.75) vs. 421.00 (327.00–485.00), P < 0.001), and the CCR (96.7% vs. 88.2%, P = 0.01) and adenoma detection rate (ADR) (47.5% vs. 32.8%, P < 0.001) were improved. Besides, logistic regression analysis showed that body mass index (BMI) and abdominal compression bandage were associated with CCR. Conclusions Abdominal compression bandages could effectively shorten CIT and improve CCR and ADR for obese patients during a routine colonoscopy. This trial is registered with the Chinese Clinical Trial Registry (No. ChiCTR2100043556).
Application of C-Terminal Clostridium Perfringens Enterotoxin in Treatment of Brain Metastasis from Breast Cancer

Simple Summary Brain metastasis occurs in primary cancers, such as breast cancer, and is correlated with mortality. There are limited options available for treatment, but Clostridium perfringens Enterotoxin (CPE) and its interaction with Claudin-4, a possible diagnostic biomarker for breast cancer, can provide a molecular pathway basis for the development of treatment options for metastatic brain cancer. Analysis of the literature reveals that Claudin-4 plays an important role as a receptor for CPE, allowing for the disruption of cell membrane permeability, an influx of calcium ions, and subsequent cell death. The negligible presence of Claudin-4 in normal brain cancer cells and the high abundance of Claudin-4 in breast cancer cells metastasized to the brain, allow for the targeted binding of CPE to tumor cells in the brain. We show that the C-terminal of CPE conjugated to nanoparticles that cross the blood–brain barrier could serve as a drug delivery tool to treat metastatic cells in the brain. Abstract Claudin-4 is part of the Claudin family of transmembrane tight junction (TJ) proteins found in almost all tissues and, together with adherens junctions and desmosomes, forms epithelial and endothelial junctional complexes. Although the distribution of Claudin-4 occurs in many cell types, the level of expression is cell-specific. Claudin proteins regulate cell proliferation and differentiation by binding cell-signaling ligands, and its expression is upregulated in several cancers. As a result, alterations in Claudin expression patterns or distribution are vital in the pathology of cancer. Profiling the genetic expression of Claudin-4 showed that Claudin-4 is also a receptor for the clostridium perfringens enterotoxin (CPE) and that Claudin-4 has a high sequence similarity with CPE’s high-affinity receptor. CPE is cytolytic due to its ability to form pores in cellular membranes, and CPE treatment in breast cancer cells have shown promising results due to the high expression of Claudin-4. The C-terminal fragment of CPE (c-CPE) provides a less toxic alternative for drug delivery into breast cancer cells, particularly metastatic tumors in the brain, especially as Claudin-4 expression in the central nervous system (CNS) is low. Therefore, c-CPE provides a unique avenue for the treatment of breast–brain metastatic tumors.
Molecular Pathways in Pulmonary Arterial Hypertension

Pulmonary arterial hypertension is a multifactorial, chronic disease process that leads to pulmonary arterial endothelial dysfunction and smooth muscular hypertrophy, resulting in impaired pliability and hemodynamics of the pulmonary vascular system, and consequent right ventricular dysfunction. Existing treatments target limited pathways with only modest improvement in disease morbidity, and little or no improvement in mortality. Ongoing research has focused on the molecular basis of pulmonary arterial hypertension and is going to be important in the discovery of new treatments and genetic pathways involved. This review focuses on the molecular pathogenesis of pulmonary arterial hypertension.
The value relevance of effective investor relations

In this study, we test formally the market value of investor relations (IR) activity employing the annual Investor Relations Magazine Best Overall IR Awards data from 2000 to 2002 to proxy for the quality of firm investor relations. We find firms perceived by survey respondents to have effective IR strategies have significantly higher market value, and, also, earn superior abnormal returns, both before and after the award nominations. We also find that, not surprisingly, higher analyst following is associated with more nominations, suggesting analysts tend to favor the stocks they follow, although being nominated for best overall IR is also consistent with a significant increase in analyst following in the following year. Finally, in line with effective IR leading to lower information risk, liquidity of nominated firms, measured by stock turnover, increases in the year subsequent to the award nominations. Overall, our evidence is consistent with good IR successfully reducing the risk to investors associated with high information asymmetry, as predicted by information risk and agency theories.
Effect of Microbial Enriched Arecahusk Compost on Growth and Yield Attributes of Maize in Typic Rhodustalf of Southern Transitional Zone of Karnataka

ABSTRACT Currently, the majority of arecahusk waste is disposed of through combustion, leading to the loss of a potential source of organic matter and nutrient source. The value of arecanut waste as an organic material has not been fully realized so far. With this in view, an experiment was designed for arecanut husk composting at Agricultural and Horticultural Research Station, Bhavikere, during the kharif season and followed by a sequential cropping system consisting of maize followed by green gram in two consecutive years (2020–21 and 2021–22). The design includes 10 replicated treatments thrice in a fully randomized complete block design. Results indicated that application of 75% RDN with 25% RDN as Arecahusk Compost (AHC) and entire quantity of recommended dose of Farm Yard Manure (FYM) as AHC (based on N equivalent) increased the growth parameters like plant height (235.89, 265.63 cm), number of leaves (14.57, 16.61), and drymatter (394.67,428.22 g plant−1) over control which received 100% RDN and recommended dose of FYM (7.5 t/ha). Similar results were recorded for the yield attributes like cob length (20.88, 24.03 cm), cob girth (18.51, 19.86 cm), number of grains per row (37.79, 40.40), number of kernels per cob (597.14 and 608.67), root length (21.90 23.40 cm), root biomass (14.33, 15.61 q ha−1), grain yield (93.60, 95.67 q ha−1) and stover yield (110.66, 116.15 q ha−1) in both years. Growth and yield attributes were significantly correlated with grain and stover yields of maize (0.96*** to 1.00***). It was recorded 14.89% grain yield increase over control.