Miracle-dz/UniFAR-FTUs huggingface dataset:
GAMBARAN TINGKAT RISIKO PENYAKIT KARDIOVASKULAR PADA PASIEN DIABETES MELITUS TIPE 2 DI PUSKESMAS KOTA DENPASAR

ABSTRAK Diabetes melitus tipe 2 adalah penyakit dengan jumlah penderitanya terus bertambah setiap tahun. Penyebab utama kematian dan kecacatan pada pasien diabetes adalah penyakit kardiovaskular. Berdasarkan tingginya risiko penyakit kardiovaskular pada pasien diabetes, WHO telah membuat grafik penilaian risiko penyakit kardiovaskular untuk memprediksi penyakit kardiovaskular yang kemungkinan dapat terjadi dalam sepuluh tahun mendatang. Penelitian dengan tujuan mengetahui gambaran tingkat risiko penyakit kardiovaskular pada penderita diabetes melitus tipe 2 ini dilakukan di Puskesmas yang tersebar di Kota Denpasar. Penelitian ini menggunakan desain studi observasional dengan rancangan studi potong lintang. Puskesmas dipilih secara acak menggunakan cluster random sampling. Keseluruhan subjek penelitian berjumlah 94 responden dari tujuh Puskesmas. Reponden penelitian ini merupakan pasien yang terdiagnosis diabetes. Penilaian tingkat risiko penyakit kardiovaskular menggunakan WHO/ISH risk prediction chart. Data yang diperlukan diperoleh menggunakan wawancara dan pengukuran. Hasil penelitian dianalisis dan disajikan dalam tabel distribusi frekuensi. Dalam sepuluh tahun ke depan, sebagian besar responden memiliki risiko rendah penyakit kardiovaskular dengan jumlah 66%, risiko tinggi dengan jumlah 21,3%, dan sedang dengan jumlah 12,8%. Sebagian besar responden memiliki risiko rendah mengalami kejadian fatal dan non-fatal penyakit kardiovaskular. Kata Kunci: Risiko Penyakit Kardiovaskular, Diabetes Melitus
Asymptotic Behaviour of the Energy Integral of a Two-Parameter Homogenization Problem with Nonlinear Periodic Robin Boundary Conditions

Abstract We consider a nonlinear Robin problem for the Poisson equation in an unbounded periodically perforated domain. The domain has a periodic structure, and the size of each cell is determined by a positive parameter δ. The relative size of each periodic perforation is determined by a positive parameter ε. Under suitable assumptions, such a problem admits a family of solutions which depends on ε and δ. We analyse the behaviour the energy integral of such a family as (ε, δ) tends to (0, 0) by an approach that represents an alternative to asymptotic expansions and classical homogenization theory.
Unraveling the impact of disrupted nucleocytoplasmic transport systems in C9orf72-associated ALS

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are two adult-onset neurodegenerative diseases that are part of a common disease spectrum due to clinical, genetic, and pathological overlap. A prominent genetic factor contributing to both diseases is a hexanucleotide repeat expansion in a non-coding region of the C9orf72 gene. This mutation in C9orf72 leads to nuclear depletion and cytoplasmic aggregation of Tar DNA-RNA binding protein 43 (TDP-43). TDP-43 pathology is characteristic of the majority of ALS cases, irrespective of disease causation, and is present in ~50% of FTD cases. Defects in nucleocytoplasmic transport involving the nuclear pore complex, the Ran-GTPase cycle, and nuclear transport factors have been linked with the mislocalization of TDP-43. Here, we will explore and discuss the implications of these system abnormalities of nucleocytoplasmic transport in C9orf72-ALS/FTD, as well as in other forms of familial and sporadic ALS.
Monitoring, analysing, forecasting and communicating phenological changes

The main objectives of this PhD thesis are to assess the climate-induced phenological changes in The Netherlands, to increase the knowledge and understanding of the ecological and socio-economic impacts of these phenological changes, to determine how society can adapt to these phenological changes and to determine the importance of phenological networks in monitoring of, communicating on and adapting to the emerging phenological changes. Over 180,000 plant phenological observations available from various Dutch phenological networks and private observation series since 1868 were analysed
An Improved Crop Disease Identification Based on the Convolutional Neural Network

: The increase in population leads to an increase in the need for food production. A healthy, pest-free plant can providea considered amount of yield in time. However, many conditions affect crop production.Identifying crop disease accurately, fast, and intelligently, plays an important role in agriculture informatization development. Most existing methods are performed manually, which affects the identifyingresult. Careful monitoring and diagnosis of crops for a large area manually is a tedious process. To address these issues, we proposed an improved crop disease identification based on the convolutional neural network (CNN) architecture.The first operation is to resize crop images and to be normalizedthem.Here, we built a neural network toload data samples for training and dividedthe verification set and training set. Furthermore, to adjust the learning rate dynamically, we use Adam algorithms which combinedthe RMSprop algorithm and momentum algorithm to improve the training learning rate.Finally, we used PlantVillage dataset to carry out the validations, this dataset contains 38 different types of crops. The experimentalresult showed the test accuracy and validation accuracy are100% and 97.50% respectively. Compared with state-of-the-art methods, our proposed model has higher detection accuracy. The convolutional neural network proposed in this paper has a high accuracy and fast training speed. The proposed architecture is less time-consuming which can help to improve the development of smart agriculture.
Cutaneous Intravascular CD-30-Positive Anaplastic Large Cell Lymphoma: A Case Report and Literature Review

Intravascular cutaneous anaplastic large cell lymphoma (ALCL) is an extremely rare non-Hodgkin lymphoma that proliferates in the lumen of small blood vessels and has a propensity to manifest in the skin. Most reported cases of intravascular lymphoma described in the literature are of large B-cell lymphomas, making T-cell lymphomas incredibly rare. As such, we present the case of an 87-year-old male with primary cutaneous intravascular anaplastic large T-cell lymphoma that initially presented with an erythematous, subcutaneous nodule on the right mid-abdomen. We report the immunohistochemical results showing lymphoma cells staining positively for CD3 and CD30 and lacking expression of anaplastic lymphoma kinase, pan-cytokeratin, CD10, CD20, and SOX10. We also review and compare previously reported cases of intravascular ALCL with primary cutaneous involvement.
Current State of Knowledge in Ocular Blood Flow in Glaucoma: A Narrative Review

Abstract Glaucoma is a multifactorial disease that is dependent on Intra Ocular Pressure (IOP) and associated with risk factors related to reduced ocular blood flow (OBF). In clinical practice, it is instrumental to update and review the considerable evidence of the current imaging technologies utilized in the investigation of OBF involved in both the onset and progression of glaucoma. Bibliographic databases, including PubMed and Google Scholar, were searched for articles on OBF techniques published between 2018 and 2023 using keywords such as “ocular blood flow”, “glaucoma”, “invasive ocular blood flow measurement”, and “non-invasive ocular blood flow measurement”. All types of methodologies were considered, except for editorials, letters to the editor, and animal studies. This review provides comprehensive information on the recent state-of-the-art imaging innovations used to monitor and measure the ocular blood flow in glaucoma.
The associations between dietary fibers intake and systemic immune and inflammatory biomarkers, a multi-cycle study of NHANES 2015–2020

Background In recent years, there has been considerable growth in abnormal inflammatory reactions and immune system dysfunction, which are implicated in chronic inflammatory illnesses and a variety of other conditions. Dietary fibers have emerged as potential regulators of the human immune and inflammatory response. Therefore, this study aims to investigate the associations between dietary fibers intake and systemic immune and inflammatory biomarkers. Methods This cross-sectional study used data from the National Health and Nutrition Examination Survey (2015–2020). Dietary fibers intake was defined as the mean of two 24-h dietary recall interviews. The systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), neutrophil-to-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), red blood cell distribution width-to-albumin ratio (RA), ferritin, high-sensitivity C-reactive protein (hs-CRP), and white blood cell (WBC) count were measured to evaluate systemic immune and inflammatory states of the body. The statistical software packages R and EmpowerStats were used to examine the associations between dietary fibers intake and systemic immune and inflammatory biomarkers. Results Overall, 14,392 participants were included in this study. After adjusting for age, gender, race, family monthly poverty level index, alcohol consumption, smoking status, vigorous recreational activity, body mass index, hyperlipidemia, hypertension, diabetes, and dietary inflammatory index, dietary fibers intake was inversely associated with SII (β = −2.19885, 95% CI: −3.21476 to −1.18294, p = 0.000248), SIRI (β = −0.00642, 95% CI: −0.01021 to −0.00263, p = 0.001738), NLR (β = −0.00803, 95% CI: −0.01179 to −0.00427, p = 0.000284), RA (β = −0.00266, 95% CI: −0.00401 to −0.00131, p = 0.000644), ferritin (β = −0.73086, 95% CI: −1.31385 to −0.14787, p = 0.020716), hs-CRP (β = −0.04629, 95% CI: −0.0743 to −0.01829, p = 0.002119), WBC (β = −0.01624, 95% CI: −0.02685 to −0.00563, p = 0.004066), neutrophils (β = −0.01346, 95% CI: −0.01929 to −0.00764, p = 0.000064). An inverse association between dietary fibers and PLR was observed in the middle (β = −3.11979, 95% CI: −5.74119 to −0.4984, p = 0.028014) and the highest tertile (β = −4.48801, 95% CI: −7.92369 to −1.05234, p = 0.016881) and the trend test (βtrend = −2.2626, 95% CI: −3.9648 to −0.5604, Ptrend = 0.0150). The observed associations between dietary fibers intake and SII, SIRI, NLR, RA, ferritin, hs-CRP, WBC, and neutrophils remained robust and consistent in the sensitivity analysis. No significant interaction by race was found. Conclusion Dietary fibers intake is associated with the improvement of the parameters of the immune response and inflammatory biomarkers, supporting recommendations to increase dietary fibers intake for enhanced immune health.
Annual assessment of Echinococcus multilocularis surveillance reports submitted in 2021 in the context of Commission Delegated Regulation (EU) 2018/772

Abstract This report is part of the Echinococcus multilocularis surveillance scientific reports which are presented annually by EFSA to the European Commission and are intended to assess the sampling strategy, data collection and detection methods used by Finland, Ireland, United Kingdom (Northern Ireland) and Norway in their respective surveillance programmes. The surveillance programmes of these four countries were evaluated by checking the information submitted by each of them and verifying that the technical requirements were fulfilled as laid down in Commission Delegated Regulation (EU) 2018/772 of 21 November 2017 supplementing Regulation (EU) No 576/2013 of the European Parliament and of the Council with regard to preventive health measures for the control of Echinococcus multilocularis infection in dogs, and repealing Delegated Regulation (EU) No 1152/2011. The information was divided in four different categories for assessment: the type and sensitivity of the detection method, the selection of the target population, the sampling strategy and the methodology. For each category, the main aspects that need to be considered in order to accomplish the technical requirements of the legislation were checked against compliance of several criteria. Three of the countries participating in this surveillance (Finland, Ireland and Norway (mainland)) succeeded in the fulfilment of the technical legal requirements foreseen in Commission Delegated Regulation (EU) 2018/772 concerning these four different categories. Northern Ireland did not fulfil those requirements, not even assuming a diagnostic test sensitivity value of 0.99 (value provided by the national reference laboratory, higher than the conservative sensitivity value suggested by EFSA, i.e. 0.78). None of the four countries recorded positive samples in the 12‐month reporting period.
Capacity building for sustainable use of animal genetic resources in developing countries

________________________________________________________________________________ Abstract Animal Genetic Resources for Food and Agriculture (AnGR) have great potential to contribute to increased food security and improved livelihood of poor people in developing countries. However, indigenous livestock which are well adapted to local conditions are often underutilized, and with few exceptions systematic breeding programmes are lacking. This is due to lack of a “critical mass” of people trained and informed in issues relating to AnGR, in addition to insufficient policy support and institutional frameworks. To address these shortages the International Livestock Research Institute (ILRI) in collaboration with the Swedish University of Agricultural Sciences, and supported by Sida (Sweden), launched a project “training the trainers”, for university lecturers and NARS in developing countries. So far, more than 100 scientists from 25 countries in sub-Saharan Africa and 15 countries in South and South East Asia have been trained in refresher courses and workshops. An Animal Genetics Training Resource (Web & CD) has also been developed, containing case studies from the tropics, generic information on livestock genetic improvement, breeding programme design, research, science communication and teaching methods. In general, very positive outcomes of the training courses and resources developed have been reported by participants on their teaching, research and on supportive activities for better use of AnGR. Despite these effects there is a huge demand for expanded activities in this area. ________________________________________________________________________________
Gendered Meat? Cognitive Dissonance and Individual Differences in Meat Eaters

ABSTRACT Complex cognitions are involved in professing to love animals whilst eating them – the “meat paradox. ” Meat-related cognitive dissonance varies depending upon the self-identified gender of the individual, with women more likely to report more negative affect and more likely to express a desire to reduce meat consumption than men. In this study, we investigated possible reasons for why gender effects are observed. We hypothesized that there may be an effect across different species – do we feel bad about eating lambs but not chickens? Is it the case that dissonance is most strongly elicited when the meat-animal connection involves animals thought to have less intelligence? What role does identification with particular gender roles play in the justifications that drive the meat paradox? Does the idea that qualities of food are related to the way an animal is killed play a role – this being the concept of magical thinking, which has been demonstrated to be more common in women? In two experiments involving 466 participants, we aimed to better understand the meat paradox in the context of cognitive dissonance, gender, magical thinking, empathy, and gender-role orientation. We found that exposure to information about the intelligence of animals (lamb and chicken) and the slaughter process induced negative affect in comparison with the control condition (apples). We replicated the finding that women who identify with more traditional gender roles experience greater meat-related cognitive dissonance. Further, there was a significant correlation between increased negative affect and higher scores on magical thinking. Finally, experiencing meat-related cognitive dissonance led to an increase in rates of intention to decrease meat consumption. Whilst we replicated several previous findings reported in the literature, we did not show unequivocal relationships between gender, gender roles, and magical thinking and the meat paradox. The ways in which people manage meat-related cognitive dissonance remains an area for further interrogation to better understand these contradictions of thinking and behavior. Understanding the meat paradox has implications for animal welfare and human and planetary health.
Bladder Cancer and Arsenic Exposure： Differences in the Two Populations Enrolled in A Study in Southwest Taiwan

Objective Analyses of bladder cancer mortality in the Black Foot Disease (BFD) endemic area of southwest Taiwan conducted by Morales et al. showed a discontinuity in risk at 400 μg/L arsenic in the drinking water in a stratified analysis and no discontinuity in a continuous analysis. As the continuous analysis presentation had been used by both the NRC and the EPA to assess the carcinogenic risk from arsenic ingestion, an explanation of the discontinuity was sought. Methods Review of 40 years of published health studies of the BFD-endemic area of SW Taiwan showed that earlier publications had limited their cancer associations with arsenic levels in artesian well waters and that the reports of Morales et al., NRC, and EPA failed to do so. Underlying data for the Morales et al.study were obtained from the appendix to the NRC report. Bladder cancer mortality rates werecalculated from case counts and person-years of observation for each study village. Villages werecategorized by water source according to the descriptions from the underlying study. Graphic and regression analyses were conducted of the bladder cancer mortality rates using exposure as a continuous variable and simultaneously stratifying by water source. Results The median village well arsenic levels ranged from 350 to 934 μg/L for villages solely dependent on artesian well water and from 10 to 717 μg/L for villages not solely dependent on artesian well water. Bladder cancer mortality rates were found to be dependent upon the arsenic level only for those villages that were solely dependent on artesian well water for their water source. Bladder cancer mortality rates were found to be independent of arsenic level for villages with non-artesian well water sources. Conclusions The data indicate that arsenic exposure levels do not explain the bladder cancer mortality risk in SW Taiwan among villages not dependent upon artesian well water. The association for villages dependent upon artesian well water may be explained either by arsenic acting as a high-dos
Continuous Motion Estimation of Knee Joint Based on a Parameter Self-Updating Mechanism Model

Estimation of continuous motion of human joints using surface electromyography (sEMG) signals has a critical part to play in intelligent rehabilitation. Traditional methods always use sEMG signals as inputs to build regression or biomechanical models to estimate continuous joint motion variables. However, it is challenging to accurately estimate continuous joint motion in new subjects due to the non-stationarity and individual differences in sEMG signals, which greatly limits the generalisability of the method. In this paper, a continuous motion estimation model for the human knee joint with a parameter self-updating mechanism based on the fusion of particle swarm optimization (PSO) and deep belief network (DBN) is proposed. According to the original sEMG signals of different subjects, the method adaptively optimized the parameters of the DBN model and completed the optimal reconstruction of signal feature structure in high-dimensional space to achieve the optimal estimation of continuous joint motion. Extensive experiments were conducted on knee joint motions. The results suggested that the average root mean square errors (RMSEs) of the proposed method were 9.42° and 7.36°, respectively, which was better than the results obtained by common neural networks. This finding lays a foundation for the human–robot interaction (HRI) of the exoskeleton robots based on the sEMG signals.
Effects of Non-Ablative Solid-State Vaginal Laser (SSVL) for the Treatment of Vulvovaginal Atrophy in Breast Cancer Survivors after Adjuvant Aromatase Inhibitor Therapy: Preliminary Results

Background: One of the side effects of anti-estrogen treatments in breast cancer survivors (BCSs), especially with aromatase inhibitor (AI) treatment, is the frequent appearance of vulvo-vaginal atrophy (VVA). We aim to evaluate the efficacy, safety and feasibility of a new type of non-ablative Solid-State Vaginal Laser (SSVL) treatment in BCSs with VVA. Methods: A total of 30 BCSs with a history of AI use and symptoms of VVA were treated with a non-ablative SSVL (LASEmaR 1500™-EUFOTON)in this non-randomized pilot study. The effects of the laser have been evaluated at baseline, 10 wk and 24 wk using a visual analogue scale (VAS), the Vaginal Health Index (VHI), the Vulvar Health Index (VuHI), the Female Sexual Function Index (FSFI), the EORTC QLQ-BR23, the Vaginal Maturation Index (VMI) and vaginal pH. Results: At 10-week follow-up vs. baseline there were no statistically significant differences in FSFI, lubrication and EORTC QLQ-BR23. In all the subjective (dyspareunia, VHI, VuHI, FSFI, QLQ) and objective parameters (VMI and pH) there was a statistically significant improvement at the 6-month follow-up. Satisfaction was very high (4.7 out of 5), with 95.7% of patients being satisfied, more than or very satisfied. Conclusions: Preliminary results of SSVL treatment of VVA and dyspareunia in BCSs after AI treatment suggest clinical improvement, without relevant side effects and with a high degree of satisfaction
Characterizations and Stability Criteria for the 2-Mode Markovian Switched Nonlinear Systems

This technical note studies characterizations and stability criteria for the 2-mode Markovian switched nonlinear systems. A Markovian switched nonlinear system is a switched system where its switching signal is induced by a continuous-time Markov chain. Two random processes—telegraph process and counting process—are defined on the stochastic switching signal. The evolution of the joint probability density functions of the two random processes conditional on the initial values of the switching signal is then formulated in terms of differential equations. Based on the analysis on the joint probability density functions, characterizations of the Markovian switching signal in terms of the expectations of the telegraph process and counting process are obtained. Moreover, the criteria for global uniformly asymptotic stability in expectation are proposed in this work, which are supported by numerical simulations.