Miracle-dz/UniFAR-FTUs huggingface dataset:
A Rare Case of Hepatocellular Carcinoma Recurrence in Ovarian Site after 12 Years Mimicking a Hepatoid Adenocarcinoma: Case Report

Hepatoid carcinoma of the ovary (HCO) is a tumor that resembles, both histologically and cytologically, hepatocarcinoma (HCC) in a patient with a non-cirrhotic liver not involved by the disease. Hepatoid carcinoma is an extremely rare histologic subtype of ovarian cancer and should be distinguished from metastatic HCC. Here, we report the rare case of a 67-year-old woman with ovarian recurrence of HCC 12 years after first diagnosis. The patient was being followed by oncologists because she had been diagnosed with HCV-related HCC (Edmonson and Stainer grade 2, pT2 N0 M0, G2, V1) in 2009. She had undergone surgery for enlarged left hepatectomy to the 4th hepatic segment with cholecystectomy and subsequent placement of a Kehr drain. The preoperative alpha-fetoprotein (AFP) level was 8600 ng/mL, while the postoperative value was only 2.7 ng/mL. At the first diagnosis, no other localizations of the disease, including the genital tract, were found. At the time of recurrence, however, the patient was completely asymptomatic: her liver function was within normal limits with negative blood indices, except for an increased blood dosage of AFP (467 ng/mL), and CA125, which became borderline (37.4 IU/mL). The oncologist placed an indication for a thoracic abdominal CT scan, which showed that the residual liver was free of disease, and the presence of a formation with a solid–cystic appearance and some calcifications at the left adnexal site. The radiological findings were confirmed on level II gynecological ultrasound. The patient then underwent a radical surgery of hysterectomy, bilateral oophorectomy, pelvic peritonectomy, and omentectomy by a laparotomic approach, with the sending of intraoperative extemporaneous histological examination on the annexus site of the tumor mass, obtaining RT = 0. Currently, the patient continues her gyneco-oncology follow-up simultaneously clinically, in laboratory, and instrumentally every 4 months. Our study currently represents the longest elapsed time interval between first diagnosis and disease recurrence, as evidenced by current data in the literature. This was a rather unique and difficult clinical case because of the rarity of the disease, the lack of scientific evidence, and the difficulty in differentiating the primary hepatoid phenotype of the ovary from an ovarian metastasis of HCC. Several multidisciplinary meetings for proper interpretation of clinical and anamnestic data, with the aid of immunohistochemistry (IHC) on histological slides were essential for case management.
Computing Divergence from a Surface Network: Comparison of the Triangle and Pentagon Methods

Abstract Two methods for creating gridded fields of divergence from irregularly spaced wind observations are evaluated by sampling analytic fields of cyclones and anticyclones of varying wavelengths using a surface network. For the triangle method, which requires a triangular tessellation of the station network and assumes that the wind varies linearly within each triangle, divergence estimates are obtained directly from the wind observations and are assumed valid at triangle centroids. These irregularly spaced centroid divergence estimates then are analyzed to a grid using a Barnes analysis scheme. For the pentagon method, which requires a pentagonal tessellation of the station network and assumes that the wind varies quadratically within each pentagon, divergence estimates also are obtained directly from the wind observations and are valid at the station lying within the interior of each pentagon. These irregularly spaced divergence estimates then are analyzed to a grid using the same Barnes analysis sc.
Primary, Secondary, and Tertiary Prevention of Congenital Cytomegalovirus Infection

Cytomegalovirus infection is the most common congenital infection, affecting about 1% of births worldwide. Several primary, secondary, and tertiary prevention strategies are already available during the prenatal period to help mitigate the immediate and long-term consequences of this infection. In this review, we aim to present and assess the efficacy of these strategies, including educating pregnant women and women of childbearing age on their knowledge of hygiene measures, development of vaccines, screening for cytomegalovirus infection during pregnancy (systematic versus targeted), prenatal diagnosis and prognostic assessments, and preventive and curative treatments in utero.
Bilateral metachronous breast malignancies: Malignant phylloides and invasive breast carcinoma—a case report

A 57-year-old Malay nullipara initially presented with a right breast lump that was increasing in size but defaulted follow-up. Two years later, she developed a contralateral breast lump. She only returned to the hospital when the right breast lump had become painful, 4 years from its onset. The biopsy of the right breast lump was a phylloides tumor and that of the left breast lump was a carcinoma. She had bilateral palpable axillary lymph nodes. She underwent bilateral mastectomy and axillary dissection. The pathology report confirmed the right breast lesion to be a malignant phylloides and the left breast lesion to be a carcinoma (pT3N2). She declined adjuvant treatment. A year after the surgical operation of the metachronous lesions, she had a right chest wall recurrence with widespread pulmonary metastases. She was given palliative chemotherapy but succumbed several months later.
A new hexactinellid-sponge-associated zoantharian (Porifera, Hexasterophora) from the northwestern Pacific Ocean

﻿Abstract Symbiotic associations between zoantharians and sponges can be divided into two groups: those that associate with Demospongiae and those that associate with Hexactinellida. Parachurabanashinseimaruae Kise, gen. nov. et sp. nov., a new genus and a new species of Hexactinellida-associated zoantharian from Japanese waters, is described. It is characterized by a combination of the following: i) its host hexactinellid sponge, ii) very flat polyps, iii) cteniform endodermal marginal muscles, and iv) characteristic mutations in three mitochondrial regions (including a unique 26-bp deletion in 16S ribosomal DNA) and three nuclear regions. Parachurabanashinseimaruae Kise, gen. nov. et sp. nov. is the third genus in the family Parazoanthidae that is reported to be associated with Hexasterophora sponges. Although specimens have so far only been collected on Takuyo-Daigo Seamount off Minami-Torishima Island in Japan, unidentified zoantharians of similar description have been reported from the waters around Australia, indicating that the species might be widespread across the Pacific.
Intelligent Fault Diagnosis of Rolling Bearings Using Efficient and Lightweight ResNet Networks Based on an Attention Mechanism (September 2022)

Focusing on the problems of complex structure and low feature extraction efficiency that exist in some traditional neural network algorithms, an improved convolutional neural network (CNN), combined with a convolutional attention mechanism, is proposed to improve the network feature extraction efficiency and reduce the network complexity. First, the convolutional block attention module (CBAM) was introduced, which can strengthen the extraction of useful features from the data, thereby improving the network feature extraction efficiency. Second, the residual structure was optimized, and the original multilayer convolution was simplified to a single-layer convolution, which reduces the complexity of the model and improves the diagnostic efficiency. Then, the rectified linear unit (ReLU) activation function in the model was replaced with the better-performing exponential linear unit (ELU) activation function. Finally, the overall structure of the residual network (ResNet) model was optimized. The CBAM-ResNet network model was based on the traditional ResNet18 model and consists of a CBAM module and the optimized ResNet18 model. Finally, experiments were using sensor data collected from rolling bearing test benches. The experimental results show that the feature extraction capability and efficiency of the new model are better than those of several other classic deep network models and the original network model, and this reduces the time complexity and model size while also maintaining a high accuracy rate.
The Evaluation Of A Random Sampling Error On The Polynomial Fit Of Subaperture Test Data

The interpretation of interferometric test data frequently involves fitting sampled data points to some set of polynomials and the removal of a reference wavefront. Random uncorrelated sampling errors introduces inaccuracies into the polynomial fit. This process is complicated when testing a large component with multiple non-overlapping apertures by the need to reconstruct the total surface shape from the related subaperture data sets. This paper examines the error introduced into the polynomial fit by random uncorrelated sampling errors. The error, expressed as an rms value, is represented as a projection onto the reference and total polynomial spaces.
A Sliding Scale Signal Quality Metric of Photoplethysmography Applicable to Measuring Heart Rate across Clinical Contexts with Chest Mounting as a Case Study

Photoplethysmography (PPG) signal quality as a proxy for accuracy in heart rate (HR) measurement is useful in various public health contexts, ranging from short-term clinical diagnostics to free-living health behavior surveillance studies that inform public health policy. Each context has a different tolerance for acceptable signal quality, and it is reductive to expect a single threshold to meet the needs across all contexts. In this study, we propose two different metrics as sliding scales of PPG signal quality and assess their association with accuracy of HR measures compared to a ground truth electrocardiogram (ECG) measurement. Methods: We used two publicly available PPG datasets (BUT PPG and Troika) to test if our signal quality metrics could identify poor signal quality compared to gold standard visual inspection. To aid interpretation of the sliding scale metrics, we used ROC curves and Kappa values to calculate guideline cut points and evaluate agreement, respectively. We then used the Troika dataset and an original dataset of PPG data collected from the chest to examine the association between continuous metrics of signal quality and HR accuracy. PPG-based HR estimates were compared with reference HR estimates using the mean absolute error (MAE) and the root-mean-square error (RMSE). Point biserial correlations were used to examine the association between binary signal quality and HR error metrics (MAE and RMSE). Results: ROC analysis from the BUT PPG data revealed that the AUC was 0.758 (95% CI 0.624 to 0.892) for signal quality metrics of STD-width and 0.741 (95% CI 0.589 to 0.883) for self-consistency. There was a significant correlation between criterion poor signal quality and signal quality metrics in both Troika and originally collected data. Signal quality was highly correlated with HR accuracy (MAE and RMSE, respectively) between PPG and ground truth ECG. Conclusion: This proof-of-concept work demonstrates an effective approach for assessing signal quality and demonstrates the effect of poor signal quality on HR measurement. Our continuous signal quality metrics allow estimations of uncertainties in other emergent metrics, such as energy expenditure that relies on multiple independent biometrics. This open-source approach increases the availability and applicability of our work in public health settings.
Prevention and treatment of the taeniasis and cysticercosis

Taeniasis and cysticercosis is widely distributed, easy to spread, and harmful to human health, and the drug treatment of taeniasis and cysticercosis has always been a major problem that needs to be solved urgently. Taeniasis is mainly caused by raw food or consumption of undercooked pork containing eggs and larvae of tapeworms. The porcine cysticercosis is caused by mistakenly eating food contaminated by insect eggs. Cases of taeniasis in humans can be asymptomatic or only mildly symptomatic. The symptoms of cysticercosis are relatively severe. Therefore, the research topic of this article is the prevention and treatment of taeniasis and cysticercosis. Tapeworm eradication and pork management are two aspects of prevention. The effective treatment methods were summarized by comparing the cure rates of different treatments for tapeworm disease and cysticercosis. It was concluded that areca nut decoction plus pumpkin seeds are the most effective treatment for taeniasis, while oxfendazole is the most effective treatment for cysticercosis. However, there are many more effective treatments that could be further studied in the future in order to facilitate the treatment of these diseases.
Lowering harmony in Bantu: An RcvP account

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Maximum Likelihood Estimation and Inference in Multivariate Conditionally Heteroscedastic Dynamic Regression Models With Student t Innovations

We provide numerically reliable analytical expressions for the score, Hessian, and information matrix of conditionally heteroscedastic dynamic regression models when the conditional distribution is multivariatet. We also derive one-sided and two-sided Lagrange multiplier tests for multivariate normality versus multivariate t based on the first two moments of the squared norm of the standardized innovations evaluated at the Gaussian pseudo-maximum likelihood estimators of the conditional mean and variance parameters. Finally, we illustrate our techniques through both Monte Carlo simulations and an empirical application to 26 U.K. sectorial stock returns that confirms that their conditional distribution has fat tails.
How does self-service technologies involuntary use affect customers’ intention to reuse?

In response to rising labor costs and the rapid growth of technological innovation, many companies are adopting new technologies in their service processes. The adoption of Self-Service Technologies (SST) has brought many benefits, such as faster transaction speed and lower processing fees. Although previous studies show a positive relationship between the level of perceived benefits and involuntary use of SSTs and customer convenience, it is uncertain whether the level of innovation and benefits can influence the relationship between involuntary use of SSTs and customer convenience. In this study, we set up a noble research model and investigated the relationship between customer convenience and involuntary use, which was influenced by two moderators based on a sample of 345 customers in Korea. The results suggest that involuntary use is negatively related to customers’ comfort in using SSTs. Moreover, the perceived usefulness and innovativeness of SSTs may moderate the effect of involuntary use on customers’ comfort. Furthermore, managerial recommendations are proposed for managers to develop strategies for applying SSTs in their services.
On the j‐Invariants of the Quadratic Q‐Curves

The j‐invariants of the quadratic Q‐curves without complex multiplication are studied. Some properties of the norms of these invariants are shown and a relationship between the field Q(j) and the degree of an isogeny of the Q‐curve to its Galois conjugate is found. In the case when the degree of the isogeny is a prime p, some properties of the primes of potentially multiplicative reduction for the Q‐curve and of the reduction of j modulo a prime P in Q(j) over p when the Q‐curve has potentially good reduction at P are found.
Relevance of Sugar Transport across the Cell Membrane

Sugar transport through the plasma membrane is one of the most critical events in the cellular transport of nutrients; for example, glucose has a central role in cellular metabolism and homeostasis. The way sugars enter the cell involves complex systems. Diverse protein systems participate in the membrane traffic of the sugars from the extracellular side to the cytoplasmic side. This diversity makes the phenomenon highly regulated and modulated to satisfy the different needs of each cell line. The beautiful thing about this process is how evolutionary processes have diversified a single function: to move glucose into the cell. The deregulation of these entrance systems causes some diseases. Hence, it is necessary to study them and search for a way to correct the alterations and utilize these mechanisms to promote health. This review will highlight the various mechanisms for importing the valuable sugars needed to create cellular homeostasis and survival in all kinds of cells.
Scorpion Peptides and Ion Channels: An Insightful Review of Mechanisms and Drug Development

The Buthidae family of scorpions consists of arthropods with significant medical relevance, as their venom contains a diverse range of biomolecules, including neurotoxins that selectively target ion channels in cell membranes. These ion channels play a crucial role in regulating physiological processes, and any disturbance in their activity can result in channelopathies, which can lead to various diseases such as autoimmune, cardiovascular, immunological, neurological, and neoplastic conditions. Given the importance of ion channels, scorpion peptides represent a valuable resource for developing drugs with targeted specificity for these channels. This review provides a comprehensive overview of the structure and classification of ion channels, the action of scorpion toxins on these channels, and potential avenues for future research. Overall, this review highlights the significance of scorpion venom as a promising source for discovering novel drugs with therapeutic potential for treating channelopathies.
Relationships between feeding and glucose concentrations in healthy term infants during the first five days after birth—the Glucose in Well Babies Study (GLOW)

Background The World Health Organization recommends breastfeeding be commenced as soon as possible after birth. Amongst other benefits, early feeding is expected to support the metabolic transition after birth, but effects on blood glucose concentrations are controversial. We sought to describe the changes in interstitial glucose concentrations after feedings over the first five postnatal days. Participants and Methods In healthy singleton term infants, all feeds were recorded using a smart phone app. Glucose concentrations were measured by blinded interstitial monitoring, calibrated by heel-prick capillary samples 2–4 times/d. Feeding sessions were included if a start and end time were recorded, and if the interval between the start of successive feeds was >90 min. The area under the glucose concentration curve (AUC) was calculated by trapezoidal addition from baseline (median of the 3 measurements before the beginning of the session). The maximum deviation (MD) was the greatest change in glucose concentration (positive or negative) from baseline to the next feeding session or 180 min, whichever came first. Data were analyzed using Stata V17 and are presented as mean (95% CI) in mmol/L. Results Data were available for 62 infants and 1,770 feedings. The glucose response to breastfeeding was not different from zero on day 1 [day 1 AUC 0.05 (−0.00, 0.10), MD 0.06 (−0.05, 0.16)], but increased thereafter (day 3 (AUC 0.23 (0.18, 0.28), MD 0.41 (0.32, 0.50), day 5 AUC 0.11 (0.06, 0.16), MD 0.28 (0.18, 0.37), p < 0.001 for age effect). Glucose response increased with increased duration of breastfeeding (<30 min AUC 0.06 (0.02,0.09), MD 0.12 (0.04,0.19), >30 min AUC 0.20 (0.16, 0.23) MD 0.37 (0.30, 0.44), p < 0.001 for duration effect) and this was observed even in the first 2 days (<30 min AUC-0.02 (−0.06, 0.03), MD −0.06 (−0.15, 0.03), >30 min AUC 0.12 (0.08, 0.16), MD 0.19 (0.11, 0.27), overall p < 0.001 for age x duration interaction). In feeding sessions that were not breastfeeding, the glucose response was greater after formula than after expressed human milk [AUC 0.29 (0.15, 0.29), MD 0.48 (−0.12, 0.61)], and greater after feed volumes >20 ml than <10 ml [20–30 ml AUC 0.19 (0.01, 0.27), MD 0.23 (−0.01, 0.46)]. Conclusion The glucose response to feeding in the days after birth increases with postnatal age and duration of the feeding episode. Breastfeeding for <30 min has little effect on glucose concentrations in the first two days.
Discovery of Large Doppler Factors in Radio-Loud Active Galactic Nuclei

We have studied the Doppler factors of active galactic nuclei. The inverse-Compton effect and equipartition models were applied to VLBI observations at 22 GHz. Total flux density measurements at 43 and 92 GHz were made for a reliable estimation of the Doppler factors. We found that two sources (0235+164, 1921—293) have Doppler factors larger than 80, while most have Doppler factors S 60 for 0235+164, T > 41 for 1921-293, and a viewing angle (p < 1° for both sources. The derived boosting factors of these sources are on the order of 10 7. An argument is presented based on these large boosting factors that the core consists of Doppler-boost ed and non-boosted components. The derived Lorentz factors of the sources exceed the predicted upper bounds of Compton-drag theories.
Effects of Digital Game-Based Learning on Students’ Cyber Wellness Literacy, Learning Motivations, and Engagement

The Internet has become an essential part of our daily life, but excessive Internet use may lead to a number of risks such as Internet addiction. In order to protect teenagers from the risks, it is important to guide them to use the Internet in a safe, responsible, and ethical way. Cyber wellness literacy, as the core issue of digital citizenship, plays a vital role in the physical and mental well-being of individuals and should be given high priority. While some studies have explored the integration of digital citizenship into school education through digital game-based learning (DGBL), the influence of digital games on teenagers’ learning outcomes, learning motivation, and engagement in the field of cyber wellness remains unclear. It is, therefore, a challenge to provide cyber wellness literacy learning activities that empower students to keep away from Internet addiction and maintain a happy, healthy, and safe digital life. This study addressed the issue of Internet addiction from the perspective of digital citizenship, and designed and implemented a digital game-based course in a middle school. The study then explored the potential impact of DGBL on improving students’ cyber wellness literacy, motivation, and engagement. The statistical results show that DGBL not only promoted the students’ cyber wellness literacy in preventing Internet addiction, but also enhanced their motivations and emotional engagement.