Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of clomiphene citrate plus estradiol or progesterone on endometrial ultrastructure: An RCT

Abstract Background Pinopods concentrations in endometrial surface is a marker of implantation. Estradiol valerate (EV) was used to change the adverse effects of Clomiphene Citrate (CC) on the endometrium. Objective The goal was to assess whether there is a significant difference in the endometrial pinopods concentrations and other parameters after adding EV and progesterone to higher doses of CC. Materials and Methods In this prospective randomized clinical trial, a total of 30 women who did not respond to 100 mg of CC from February 2016 to June 2016 were evaluated. They were divided into three groups: group I) received 150 mg of CC alone, group II) CC with EV, and group III) CC plus progesterone. On day 21 of the menstrual cycle, endometrial biopsy, a blood sampling, and a scanning by electron microscopy were performed. Results On day 21 of the menstrual cycle, there was no significant difference in the pinopods concentrations (p = 0.641) and serum estrogen levels (p = 0.276) between groups. However, the Serum progesterone levels in group I was higher than the other two groups (p = 0.007) in the same day. Conclusion Since the addition of EV and progesterone to higher dosages of CC did not change the pinopods concentration and serum estrogen levels on day 21 of the menstrual cycle, and the serum progesterone levels was higher in CC alone group (i.e. group I) compared to other groups, it can be concluded that the anti-estrogenic effects of CC just appear on the endometrium and not on the plasma levels.
High Lipoprotein(a) Levels as a Predictor of Major Adverse Cardiovascular Events in Hospitalized-Acute Myocardial Infarction Patients

Background Risk stratification models with incorporation of biochemical markers have received attention recently. In acute myocardial infarction (AMI) one such marker is lipoprotein(a) (Lp(a)). Lp(a) has prothrombotic and proinflammatory properties. High levels of Lp(a) probably contribute to the additional adverse effects in AMI, as it enhances the damaging effect of acute thrombosis. This study aimed to evaluate serum Lp(a) as a predictor of major adverse cardiovascular events (MACE) in hospitalized-acute myocardial infarction patients. Methods A prospective cohort study was conducted at Sanglah Hospital, Denpasar, during June–August 2018, among 66 people by consecutive sampling. Samples that met the inclusion and exclusion criteria were examined for serum Lp(a) at the time of admission and the occurrence of MACE during hospitalization was observed. Data regarding serum Lp(a), demography, smoking history, dyslipidemia, hypertension, diabetes mellitus, and MACE were collected. Log rank test and Cox proportional hazards regression were conducted with SPSS version 20 for Windows. Results During observation, MACE occurred in 25 (38%) patients, including cardiogenic shock in 7 (10.6%) patients, heart failure in 20 (30.3%) patients, cardiovascular death in 5 (7, 6%) patients, malignant arrhythmias in 5 (7.6%) patients, and postinfarction angina in 5 (7.6%) patients. After the Log rank test, a significant difference in survival was observed (p = 0.001) between groups of high Lp(a) (survival rate of 60.6 hours; 95% CI 43.3–77.9) and low Lp(a) (average survival of 104.3 hours, 95% CI 91.4–117.2). The hazard ratio of high Lp(a) against MACE was 4.63 (p=0.002), and it increased to 4.69 in multivariate analysis with Cox proportional hazards regression test (p=0.003). Conclusion The high level of Lp(a) in AMI patients was a risk factor for the occurrence of MACE during hospitalization. Patients with high Lp(a) also had worse survival compared to patients with low Lp(a).
‘You're kinda passing a test’: A phenomenological study of women's experiences of breastfeeding

Background Despite an increasing research base about what helps or hinders breastfeeding, there is a dramatic drop in breastfeeding prevalence within the first 6 weeks. Aim To explore the experiences of breastfeeding women. Methods This study used interpretive phenomenology to research the experiences of 22 women who had all breastfed their youngest baby for at least 11 days. Data were collected using in-depth interviews when the women's babies were between 3-6 months of age. Thematic analysis was used to analyse findings. Findings The women described tensions and mixed messages regarding breastfeeding, and contradictions between public health messages promoting breastfeeding and the support received to continue breastfeeding. The women also described how these approaches and messages affected their breastfeeding experiences, and how they managed breastfeeding as a result. Conclusions The findings from this study revealed a patriarchal healthcare support system for breastfeeding whereby the women felt und.
Electrodiagnostic Abnormalities Associated with Fibromyalgia

Purpose Increasing evidence suggests that fibromyalgia most likely represents a neurological dysfunction. We previously hypothesized that at least some fibromyalgia cases may be caused by irritation of nerve root fibers and sensory neurons due to moderately increased cerebrospinal pressure. Because of the rostro-caudal hydrostatic pressure gradient, neurogenic abnormalities are expected to be most pronounced in sacral nerve roots. The purpose was to review electrodiagnostic tests of patients with fibromyalgia. Methods A retrospective review of electrodiagnostic test results, including the lumbar and sacral nerve root myotomes of patients diagnosed with fibromyalgia according to the 1990 criteria of the American College of Rheumatology was done. Results All 17 patients were female. Sural nerve responses could not be elicited in 12% and S1-Hoffmann reflex latencies were increased in 41%. In 12% of the patients, fibular motor nerve distal latency and conduction velocity were outside normal limits. Needle-EMG revealed neurogenic motor unit potentials in 0% of L2, 6% of L3, 29% of L4, 71% of L5, 47% of S1, 94% of S2, and 76% of S3-S4 myotomes. S3-S4 nerve-supplied anal reflexes were delayed in 94%. Conclusion This is the first time that electrodiagnostic data of both lumbar and sacral nerve root myotomes in fibromyalgia patients are presented. All patients showed neurogenic abnormalities that were more pronounced in the sacral than in the lumbar myotomes with a rather patchy distribution pattern. We propose that, in addition to skin punch biopsies to assess small fiber neuropathy, assessment of the anal reflex may be a useful part of the diagnostic pathway in patients with fibromyalgia.
TEAD2 as a novel prognostic factor for hepatocellular carcinoma

TEA Domain Transcription Factors (TEADs) are important in development and serve essential roles in tumorigenesis; however, the role of TEAD2 expression in hepatocellular carcinoma (HCC) has not been widely examined. The present study was conducted to investigate the expression status of TEAD2 in HCC and to evaluate whether the expression of TEAD2 is associated with the prognosis of patients with HCC. mRNA expression data was retrieved for Hippo pathway genes of 50 normal control and 377 HCC samples from The Cancer Genome Atlas data portal. Gene set enrichment, GeneNeighbors, ClassNeighbors and survival analyses were then performed based on the gene expression levels. The mRNA expression of TEAD2 and VGLL4 was significantly higher in HCC compared with the normal control samples, and the mRNA expression of TEAD2 was higher in advanced stages than in early stages. Specifically, survival analysis revealed that higher mRNA expression of TEAD2 was significantly associated with a less favorable overall survival rate (P=0.0067) and there was a trend towards significance between higher mRNA expression of VGLL4 and poor overall survival rate (P=0.051). According to the gene set enrichment analysis, patients with higher mRNA expression of TEAD2 and VGLL4 had strongly enhanced epithelial-mesenchymal transition and angiogenesis, which are associated with tumor progression. In conclusion, increased mRNA expression of TEAD2 is associated with a poor prognosis in patients with HCC. TEAD2 may serve as a prognostic factor for HCC and a novel therapeutic target.
Scientific Opinion on the welfare of cattle kept for beef production and the welfare in intensive calf farming systems

Abstract Information given in previous Opinions “Welfare of cattle kept for beef production” (SCAHAW, 2001) and “The risks of poor welfare in intensive calf farming systems” (EFSA, 2006) is updated and recent scientific evidence on the topics reviewed. Risks of poor welfare are identified using a structured analysis, and issues not identified in the SCAHAW (2001) beef Opinion, especially effects of housing and management on enteric and respiratory diseases are reviewed. The Opinion covers all systems of beef production, although the welfare of suckler cows or breeding bulls is not considered. The Chapter on beef cattle presents new evidence and recommendations in relation to heat and cold stress, mutilations and pain management, digestive disorders linked to high concentrate feeds and respiratory disorders linked to overstocking, inadequate ventilation, mixing of animals and failure of early diagnosis and treatment. Major welfare problems in cattle kept for beef production, as identified by risk assessment, were respiratory diseases linked to overstocking, inadequate ventilation, mixing of animals and failure of early diagnosis and treatment, digestive disorders linked to intensive concentrate feeding, lack of physically effective fibre in the diet, and behavioural disorders linked to inadequate floor space, and co‐mingling in the feedlot. Major hazards for white veal calves were considered to be iron‐deficiency anaemia, a direct consequence of dietary iron restriction, enteric diseases linked to high intakes of liquid feed and inadequate intake of physically effective fibre, discomfort and behavioural disorders linked to inadequate floors and floor space.
Measuring Clinical Benefit of Treatments for Hematologic Malignancies: Critical First Steps Accomplished—What is Next?

I nstruments that measure clinical benefit are useful to support policy decision making. They can help to assess the value of new treatments andmay provide insights to inform the design of future clinical trials. The European Society for Medical Oncology (ESMO) developed a valuable tool to assess the magnitude of clinical benefit from new cancer therapies – the ESMO-Magnitude of Clinical Benefit Scale (ESMO-MCBS) – that has been validated and proven reproducible in solid tumor oncology. This value framework is currently incorporated into ESMO’s clinical practice guidelines and is being used to inform health technology assessment processes. The European Hematology Association (EHA) has observed the development of the ESMO-MCBS with interest, since no oncology frameworks have yet been validated for assessing treatments for hematologic malignancies. Given the increasing number of treatments available for these types of malignancy, that often target small, well-defined patient populations, availability of an appropriate validated assessment for hematologic malignancies is of pressing importance. Consequently, experts from EHA and ESMO tested the latest version of ESMOMCBS (version 1.1) in several hematologic malignancies, and their findings have recently been published. Experts from relevant EHA Scientific Working Groups identified and graded 80 studies of recently approved treatments for hematologic malignancies using the ESMO-MCBS version 1.1 forms. Their gradings were then reviewed by the ESMO-
Association Between lncRNA HULC rs7763881 Polymorphism and Gastric Cancer Risk

Purpose Gastric cancer (GC) is one of the most common cancers in the world. Recently, several studies have suggested that single-nucleotide polymorphisms (SNPs) of long noncoding RNA (lncRNA) are associated with GC risk. However, the association of the lncRNA highly upregulated in liver cancer (HULC) SNP with GC risk is not yet known. The aims of this study were to evaluate the association between HULC rs7763881 SNP and the risk of GC and GC subgroups via a case–control study. Patients and Methods rs7763881 was genotyped using TaqMan genotyping assay with 459 GC patients and 379 controls. Results A significant association between HULC rs7763881 SNP and GC risk was not found. However, after adjustment for age and gender, the rs7763881 recessive model (CC) showed a significant association with an increased GC risk in the undifferentiated (odds ratio (OR) = 1.85, 95% confidence interval (CI) = 1.17–2.94, P = 0.009), diffuse-type GC (OR = 1.72, 95% CI = 1.05–2.82, P = 0.033), LNM-positive (OR = 2.02, 95% CI = 1.24–3.27, P = 0.004), T3/T4 (OR = 1.75, 95% CI = 1.05–2.91, P = 0.032), and tumor stage III (OR = 2.01, 95% CI = 1.17–3.45, P = 0.011) subgroups when compared to the rs7763881 combined genotypes (AA+AC). Furthermore, after adjusting for age and gender, the rs7763881 additive model (CC) indicated a significantly higher GC risk than rs7763881 AA genotype in the undifferentiated (OR = 1.96, 95% CI = 1.15–3.32, P = 0.013), diffuse-type GC (OR = 2.08, 95% CI = 1.23–3.52, P = 0.004), and LNM-positive (OR = 2.00, 95% CI = 1.14–3.49, P = 0.016) subgroups. Conclusion Our findings suggest that the HULC rs7763881 SNP is associated with increased susceptibility to GC. However, further studies are required to validate our results in large populations as well as different ethnic groups.
Improved survival with primary sclerosing cholangitis

Abstract The clinicopathologic features and natural history of primary sclerosing cholangitis were reviewed in 53 patients followed at the Yale Liver Center during the past 30 yr. At presentation, the mean age of patients was 46 yr, and the male to female ratio was 1.4:1. Biliary sclerosis was limited to the intrahepatic ductal system in 21% of the patients. Fiftythree percent of the patients had mild disease without portal hypertension at presentation, and 25% had no symptoms attributable to their liver disease. Long-term follow-up was available for 42 patients and averaged 56 mo. Over this period, 16 patients remained mildly symptomatic, and 11 were asymptomatic. Survival was calculated by a Kaplan-Meier life-table analysis and demonstrated that 75% of the patients were alive 9 yr after the diagnosis of primary sclerosing cholangitis. A multivariate analysis of clinical features revealed that hepatomegaly and a serum bilirubin level >1.5 mg/dl at the onset of disease were independent discriminators of a poor prognosis. Patients referred to this university medical center displayed different clinical characteristics than previously reported in primary sclerosing cholangitis. A higher percentage were older, female, and asymptomatic, and more had disease limited to the intrahepatic ductal system. Survival was also considerably improved in this group of patients and suggests that the long-term prognosis for patients with primary sclerosing cholangitis may be considerably better than previously believed.
Automatic Legal Judgment Prediction via Large Amounts of Criminal Cases

We research how automatically predict the charges and relevant law articles of criminal cases in our work. At first, the distributions of charges, relevant law articles and fact description of criminal cases are analyzed based on CAIL2018. CAIL2018, the first large-scale dataset for legal judgment prediction in China, contains large amounts of criminal cases collected from the Supreme People’s Court of China. By our analysis, we find the distribution of criminal cases is typical 8020 distribution. Then we present our framework to predict criminal cases automatically. In our framework, data enhancement, oversampling, key word extraction are used to optimize data quality, and deep learning is employed to predict charges and relevant articles. In the prediction, single deep learning model is tested firstly, then ensemble of different deep learning models are compared to achieve better performance than that of single model. In our work, we find data enhancement and ensemble strategy can improve the performance of judgment prediction. More differences of joint models and data, better performance of ensemble strategy.
Improving Joint Layer RNN based Keyphrase Extraction by Using Syntactical Features

Keyphrase extraction as a task to identify important words or phrases from a text, is a crucial process to identify main topics when analyzing texts from a social media platform. In our study, we focus on text written in Indonesia language taken from Twitter. Different from the original joint layer recurrent neural network (JRNN) with output of one sequence of keywords and using only word embedding, here we propose to modify the input layer of JRNN to extract more than one sequence of keywords by additional information of syntactical features, namely part of speech, named entity types, and dependency structures. Since JRNN in general requires a large amount of data as the training examples and creating those examples is expensive, we used a data augmentation method to increase the number of training examples. Our experiment had shown that our method outperformed the baseline methods. Our method achieved. 9597 in accuracy and. 7691 in F1.
A Miniaturized Wideband Dual-Polarized Antenna Based on Mode-Control Principle for Base-Station Applications

In this paper, a miniaturized wideband dual-polarized antenna and its array are proposed and demonstrated for practical base-station applications. “Mode-control” principle is employed to facilitate both miniaturization and bandwidth-enhancement of the proposed antenna element. To be more specific, by inserting meander lines into a traditional crossed loop-dipole antenna, its first resonant mode can be shifted to a lower frequency without increasing the aperture size, implying that a total size reduction can be achieved. Meanwhile, by embedding a pair of crossed straight strips into the coupling region of the crossed loop-dipole antenna, its second resonant mode can be moved to a higher frequency with a good impedance matching, thereby improving the impedance bandwidth significantly. A prototype of the proposed antenna with a small radiator size of only $0.33\lambda \times 0.33\lambda $ ( $\lambda $ is the wavelength at the center frequency of 2.2 GHz) is designed, fabricated and measured. Measurements show that in the target frequency band from 1.71 GHz to 2.69 GHz, i.e., 2G/3G/4G bands, a relatively good impedance matching with the VSWR of less than 1.65 and a high isolation of greater than 28 dB are obtained by the proposed antenna element. Also, a stable gain of 8.7±0.5 dBi and a stable 3-dB beamwidth of 64.8±2.7° at the $H$ -plane are respectively achieved. A multiple-input-multiple-output (MIMO) antenna array consisting of two subarrays with electrical down-tilt is further developed for practical base-station applications. Each subarray is composed of ten antenna elements. The overall width of the array is only 260 mm, which is much narrower than that of typical industrial products (~305 mm). Measured results show that the antenna array has also achieved good performances such as wide impedance bandwidth, high isolations among different ports, and stable radiations over the 2G/3G/4G bands.
Floating Buses: Dynamic Route planning and Passenger Allocation based on Real-time Demand

Traditional bus systems cannot adapt to the dynamic and ever changing demand for public transport in the cities because of their strict timetables, static stop locations and constrained capacity. These systems increase the emissions as buses have to make unnecessary journeys dictated by their fixed route plans and travel with empty seats as a result of their pre-planned timetables. To address these issues and offer more convenience to passengers, this paper presents a Floating Bus system that plans journeys based on passengers’ real-time demand. This system allows the passengers to request a ride from their location, it then aggregates a number of requests, appoints the most convenient stop for the passengers, and allocates a bus to complete the journeys. Results show that the Floating Bus system increases passengers’ convenience by appointing dynamic bus stops, decreases the emissions and passengers’ travel time by dynamic route planning.
23.7 A 130dB CMRR Instrumentation Amplifier with Common-Mode Replication

Interfacing with high-impedance sensors, such as dry-contacted electrodes and accelerometers requires high CMRR with sufficient input impedance concurrently. From the system point of view, the total CMRR (TCMRR) is determined by the intrinsic CMRR (ICMRR) of the front-end amplifier as well as the imbalance of source impedance; the latter has to be accommodated by large input common-mode (CM) impedance (ZIN, CM). Widely adopted CMRR enhancement techniques, i.e., chopping, common-mode feedback (CMFB), common-mode feedforward, improve ICMRR only [1]–[3]. Positive feedback improves the input differential-mode (DM) impedance (ZIN, DM) effectively [4]. However, it is the input CM impedance that contributes to the TCMRR, which has not been commonly noted. Single-ended amplifiers, e.g., active electrodes (AE) [3], [5], and traditional 3-opamp instrumentation amplifiers do not suffer from the confusion, where the ZIN, CM and ZIN, DM are inherently the same and are enhanced by the same mechanism for higher TCMRR. On the other hand, dedicated single-ended stages require extra design effort as well as power consumption. Pre-charge techniques improve ZIN, CM and ZIN, DM concurrently at low frequencies by employing two additional chopped buffers [6]. Power-supply regulation enhances both CMRR and (ZIN, CM). However, feedback regulation of the power supply is often sophisticated and power-consuming [7].
Automated Brain Tumor Segmentation from MRI Data Based on Local Region Analysis

Magnetic resonance imaging for its excellent contrast information about brain tissues from a variety of excitation sequences has become the standard modality of choice for brain tumor diagnosis. Accurate delineation of tumor region prior to invasive surgery is a must and yet very tedious to be done manually for medical practitioners and neurosurgeons. However, automating this task is very challenging due to the immense heterogeneity of tumor structure, severe partial volume effect and for the presence of different noises. In this work, a fully automated brain tumor segmentation method is proposed in which the local region of pixels is considered as a basic processing unit of classification instead of the traditional pixel-based classification scheme. The extracted local regions are then clustered into two groups using K means clustering algorithm for multiple feature points which effectively increases the clustering performance. The features used here are different statistical measures of intensity values and textural features obtained from the Gaussian filter bank. The segmented tumor volume is constructed by combining all the local tumor regions. Not only the dice similarity measure of our method is comparable with the state of art methods but also is more efficient than the other complex approaches in the perspective of simplicity, reproducibility and low computational cost.