Miracle-dz/UniFAR-FTUs huggingface dataset:
PERANCANGAN SISTEM PREDIKSI KELULUSAN MAHASISWA UNIVERSITAS DIAN NUSWANTORO MENGGUNAKAN UNIFIED MODELLING LANGUAGE

Mahasiswa ialah salah satu tiang yang sangat berarti dalam siklus hidup suatu Universitas. Jumlah kelulusan suatu Universitas sering kali mempunyai perbandingan yang kecil bila dibanding dengan jumlah mahasiswa yang diperoleh pada tahun akademik yang serupa. Tingkatan kelulusan mahasiswa yang kecil ini bisa disebabkan oleh sebagian aspek, seperti banyaknya aktivitas kemahasiswaan yang diiringi oleh aspek ekonomi, serta aspek – aspek lainnya. Perihal ini membuat sesuatu Universitas wajib mempunyai desain ataupun metode yang bisa memperhitungkan apakah mahasiswa itu bisa lulus dengan durasi yang sesuai. Salah satu faktor yang mendukung keberhasilan di dalam Univeritas adalah mahasiswa yang lulus dengan durasi yang sesuai. Semakin banyak mahasiswa yang lulus dengan durasi yang sesuai (dalam hal ini untuk sarjana yaitu <= 8 semester), harus berbanding yang sama atau lebih tinggi terhadap jumlah mahasiswa yang masuk pada suatu Universitas. Jika jumlah mahasiswa yang tidak lulus dengan durasi yang sesuai lebih tinggi, maka dapat menyebabkan lonjakan peningkatan jumlah data akademis dari semua mahasiswa yang masih terdaftar sehingga akan mempengaruhi citra dan reputasi dari Universitas yang nantinya dapat mengancam nilai akreditasi Universitas tersebut. Untuk mengatasi hal tersebut, maka diperlukan sistem yang dapat memprediksi kelulusan mahasiswa. Objek Penelitian ini dilakukan pada mahasiswa Universitas Dian Nuswantoro. Perancangan sistem prediksi menggunakan diagram Unified Modelling Language (UML). Diharapkan sistem prediksi kelulusan mahasiswa ini dapat berjalan optimal sehingga dapat memprediksi dan mengantisipasi secara dini profil kelulusan mahasiswa Universitas Dian Nuswantoro yang tidak sesuai meskipun di tengah wabah pandemi Covid-19.
Biofortification of common bean (Phaseolus vulgaris L.) with iron and zinc: Achievements and challenges

Abstract Micronutrient deficiencies (hidden hunger), particularly in iron (Fe) and zinc (Zn), remain one of the most serious public health challenges, affecting more than three billion people globally. A number of strategies are used to ameliorate the problem of micronutrient deficiencies and to improve the nutritional profile of food products. These include (i) dietary diversification, (ii) industrial food fortification and supplements, (iii) agronomic approaches including soil mineral fertilisation, bioinoculants and crop rotations, and (iv) biofortification through the implementation of biotechnology including gene editing and plant breeding. These efforts must consider the dietary patterns and culinary preferences of the consumer and stakeholder acceptance of new biofortified varieties. Deficiencies in Zn and Fe are often linked to the poor nutritional status of agricultural soils, resulting in low amounts and/or poor availability of these nutrients in staple food crops such as common bean. This review describes the genes and processes associated with Fe and Zn accumulation in common bean, a significant food source in Africa that plays an important role in nutritional security. We discuss the conventional plant breeding, transgenic and gene editing approaches that are being deployed to improve Fe and Zn accumulation in beans. We also consider the requirements of successful bean biofortification programmes, highlighting gaps in current knowledge, possible solutions and future perspectives.
Two HCN4 Channels Play Functional Roles in the Zebrafish Heart

The HCN4 channel is essential for heart rate regulation in vertebrates by generating pacemaker potentials in the sinoatrial node. HCN4 channel abnormality may cause bradycardia and sick sinus syndrome, making it an important target for clinical research and drug discovery. The zebrafish is a popular animal model for cardiovascular research. They are potentially suitable for studying inherited heart diseases, including cardiac arrhythmia. However, it has not been determined how similar the ion channels that underlie cardiac automaticity are in zebrafish and humans. In the case of HCN4, humans have one gene, whereas zebrafish have two ortholog genes (DrHCN4 and DrHCN4L; ‘Dr’ referring to Danio rerio). However, it is not known whether the two HCN4 channels have different physiological functions and roles in heart rate regulation. In this study, we characterized the biophysical properties of the two zebrafish HCN4 channels in Xenopus oocytes and compared them to those of the human HCN4 channel. We found that they showed different gating properties: DrHCN4L currents showed faster activation kinetics and a more positively shifted G-V curve than did DrHCN4 and human HCN4 currents. We made chimeric channels of DrHCN4 and DrHCN4L and found that cytoplasmic domains were determinants for the faster activation and the positively shifted G-V relationship in DrHCN4L. The use of a dominant-negative HCN4 mutant confirmed that DrHCN4 and DrHCN4L can form a heteromultimeric channel in Xenopus oocytes. Next, we confirmed that both are sensitive to common HCN channel inhibitors/blockers including Cs+, ivabradine, and ZD7288. These HCN inhibitors successfully lowered zebrafish heart rate during early embryonic stages. Finally, we knocked down the HCN4 genes using antisense morpholino and found that knocking down either or both of the HCN4 channels caused a temporal decrease in heart rate and tended to cause pericardial edema. These findings suggest that both DrHCN4 and DrHCN4L play a significant role in zebrafish heart rate regulation.
Involvement of the Intestinal Microbiota in the Appearance of Multiple Sclerosis: Aloe vera and Citrus bergamia as Potential Candidates for Intestinal Health

Multiple sclerosis (MS) is a neurological and inflammatory autoimmune disease of the Central Nervous System in which selective activation of T and B lymphocytes prompts a reaction against myelin, inducing demyelination and axonal loss. Although MS is recognized to be an autoimmune pathology, the specific causes are many; thus, to date, it has been considered a disorder resulting from environmental factors in genetically susceptible individuals. Among the environmental factors hypothetically involved in MS, nutrition seems to be well related, although the role of nutritional factors is still unclear. The gut of mammals is home to a bacterial community of about 2000 species known as the “microbiota”, whose composition changes throughout the life of each individual. There are five bacterial phylas that make up the microbiota in healthy adults: Firmicutes (79.4%), Bacteroidetes (16.9%), Actinobacteria (2.5%), Proteobacteria (1%) and Verrucomicrobia (0.1%). The diversity and abundance of microbial populations justifies a condition known as eubiosis. On the contrary, the state of dysbiosis refers to altered diversity and abundance of the microbiota. Many studies carried out in the last few years have demonstrated that there is a relationship between the intestinal microflora and the progression of multiple sclerosis. This correlation was also demonstrated by the discovery that patients with MS, treated with specific prebiotics and probiotics, have greatly increased bacterial diversity in the intestinal microbiota, which might be otherwise reduced or absent. In particular, natural extracts of Aloe vera and bergamot fruits, rich in polyphenols and with a high percentage of polysaccharides (mostly found in indigestible and fermentable fibers), appear to be potential candidates to re-equilibrate the gut microbiota in MS patients. The present review article aims to assess the pathophysiological mechanisms that reveal the role of the microbiota in the development of MS. In addition, the potential for supplementing patients undergoing early stages of MS with Aloe vera as well as bergamot fibers, on top of conventional drug treatments, is discussed.
Modulation Schemes for Medium-Voltage PWM Current Source Converter-Based Drives: An Overview

Pulsewidth modulation current source converter (CSC)-based drive is one of the widely used drives in high-power (megawatt level) medium-voltage (MV) (2.3–6.6 kV) applications. The switching frequency of the MV CSC is limited to around 500 Hz to satisfy thermal requirement and reduce switching loss. Under such a condition, the overall performance of the used modulation scheme, especially its harmonics performance, is an important consideration for CSC-based drives. To date, a couple of modulation schemes have been proposed for MV CSCs, and this paper aims to present an overview of these modulation schemes. Traditional modulation schemes are reviewed, the recent advances are illustrated and analyzed, and the challenges and trends are discussed.
Odor-Reduced HDPE-Lignin Blends by Use of Processing Additives

The comprehensive use of natural polymers, such as lignin, can accelerate the replacement of mineral oil-based commodities. Promoting the material recovery of the still underutilized technical lignin, polyolefin-lignin blends are a highly promising approach towards sustainable polymeric materials. However, a limiting factor for high-quality applications is the unpleasant odor of technical lignin and resulting blends. The latter, especially, are a target for potential odor reduction, since heat- and shear-force intense processing can intensify the smell. In the present study, the odor optimization of kraft and soda HDPE-lignin blends was implemented by the in-process application of two different processing additives–5% of activated carbon and 0.7% of a stripping agent. Both additives were added directly within the compounding process executed with a twin screw extruder. The odor properties of the produced blends were assessed systematically by a trained human panel performing sensory evaluations of the odor characteristics. Subsequently, causative odor-active molecules were elucidated by means of GC-O and 2D-GC-MS/O while OEDA gave insights into relative odor potencies of single odorants. Out of 70 different odorants detected in the entirety of the sample material, more than 30 sulfur-containing odorants were present in the kraft HDPE-lignin blend, most of them neo-formed due to high melt temperatures during extrusion, leading to strong burnt and sulfurous smells. The addition of activated carbon significantly decreased especially these sulfurous compounds, resulting in 48% of overall odor reduction of the kraft blend (mean intensity ratings of 5.2) in comparison to the untreated blend (10.0). The applied stripping agent, an aqueous solution of polymeric, surface-active substances adsorbed onto a PP carrier, was less powerful in reducing neo-formed sulfur odorants, but led to a decrease in odor of 26% in the case of the soda HDPE-lignin blend (7.4). The identification of single odorants on a molecular level further enabled the elucidation of odor reduction trends within single compound classes. The obtained odor reduction strategies not only promote the deodorization of HDPE-lignin blends, but might be additionally helpful for the odor optimization of other natural-fiber based materials.
Down syndrome: a review of ocular manifestations

Down syndrome is the most common genetically mediated intellectual disability. Although many physiologic and pathologic features of Down syndrome are discussed at length in the literature, the ocular manifestations of Down syndrome have seldom been discussed in a comprehensive fashion. Given that Down syndrome has ocular manifestations from the front to the back of the eye, it is important for physicians to become familiar with these manifestations, especially given the prevalence of Down syndrome. This review aims to discuss the varied ophthalmologic manifestations of Down syndrome – including strabismus, amblyopia, nystagmus, accommodation deficits, nasolacrimal duct obstruction, keratoconus, optic nerve pathology, neoplastic disease, and retinal pathology – to facilitate better care and visual outcomes in this important patient population.
The Effect of Leadership and Collaborations on SME Adaptability

This article attempts to elaborate the adaptability of SMEs (small medium enterprises) and effects of leadership and collaboration on SME adaptability. This article is a quantitative study with causal analysis. The collected data from 506 SMEs was analyzed by SmartPLS. The result reveals that SME flexibility influences on its resilience. Prosocial leadership and collaborative capability impact directly, positively, and significantly on SME resilience and flexibility. Collaborative capability played a mediating role on the relationship between leadership and adaptability. For being survival in embracing disruptive changes, the owners and/or managers of SMEs must apply pro-social orientation in leading business and developing collaborative capabilities simultaneously for being resilient. The novelty of this article is an elaboration of the linkage between leadership and adaptability, instead of the linkage between leadership and performance. This article strengthens the previous studies that leadership has an indirect impact on organizational performance or adaptability, it is mediated by collaborative capability.
From sets and types to topology and analysis - Towards practicable foundations for constructive mathematics

Introduction Errett Bishop 1. Generalized Inductive Definitions in Constructive Set Theory 2. Constructive Set Theories and their Category-theoretic Models 3. Presheaf models for Constructive Set Theories 4. Universes in Toposes 5. Toward a minimalistic foundation for constructive mathematics 6. Interactive Programs and Weakly Final Coalgebras in Dependent Type Theory 7. Applications of inductive definitions and choice principles to program synthesis 8. The duality of lcassical and constructive notions and proofs 9. Continuity on the real line and in formal spaces 10. Separation Properties in Constructive Topology 11. Spaces as comonoids 12. Predicative exponentiation of locally compact formal topologies over inductively generated ones 13. Some constructive roads to Tychonoff 14. An elementary characterisation of Krull dimension 15. Constructive reverse mathematics: compactness properties 16. Approximating integrable sets by compacts constructively 17. An introduction to the theory of c*-algegras in constructive mathematics 18. Approximations to the numerical range of an element of a Banach algebra 19. The constructive uniqueness of the locally convex topology on rn 20. Computability on Non-Separable Banach Spaces and Landau's Theorem
Detecting A Medical Mask During The COVID-19 Pandemic Using Machine Learning: A Review Study

: Since the emergence of the COVID-19 pandemic, there have been government instructions to citizens to wear a medical mask in crowded places and institutions to prevent or reduce the spread of the pandemic, as the most common method of transmission of COVID-19 is (coughing or sneezing), the spread of infection of this disease can be reduced by wearing a mask Medical , and to ensure that everyone wears a mask is not easy. In this paper, we try to study research in the field of identifying the medical mask and the machine learning algorithms used to build a system capable of detecting the medical mask in faces through images and video in real time. We also explain in this research an overview of the importance of machine learning and deep learning methods, especially Convolutional Neural Network (CNN) and the basic steps for creating the system We reveal the medical mask, and we highlight the methods and stages of building the model with its accuracy and get acquainted with the datasets used in building the model and the size of the data set (number of images) used in the training and testing phase of the model and the mechanism by which The researcher worked out to build his own system.
Thrombocytopenia and increased risk of adverse outcome in COVID-19 patients

Background Thrombocytopenia was common in the coronavirus disease 2019 (COVID-19) patients during the infection, while the role of thrombocytopenia in COVID-19 pathogenesis and its relationship with systemic host response remained obscure. The study aimed to systematically evaluate the relationship between thrombocytopenia in COVID-19 patients and clinical, haematological and biochemical markers of the disease as well as adverse outcomes. Methods To assess the relationship between abnormal platelet levels and disease progression, a multi-center retrospective cohort study was conducted. COVID-19 patients with thrombocytopenia and a sub-cohort of matched patients without thrombocytopenia were compared for their clinical manifestations, haematological disorders, biochemical parameters, inflammatory markers and clinical outcome. Results Thrombocytopenia was present in 127 of 2,209 analyzed patients on admission. Compared with the control group, thrombocytopenia patients developed significantly higher frequency of respiratory failure (41.9% vs. 22.6%, P = 0.020), intensive care unit entrance (25.6% vs. 11.5%, P = 0.012), disseminated intravascular coagulation (45.2% vs. 10.6%, P < 0.001), more altered platelet morphology indexes and coagulation perturbation, higher levels of inflammatory markers. In addition, a significantly increased all-cause mortality (hazard ratio 3.08, 95% confidence interval 2.26–4.18, P < 0.001) was also observed in the patients with thrombocytopenia. Late development of thrombocytopenia beyond 14 days post-symptom was observed in 61 patients, from whom a comparable mortality rate yet longer duration to death was observed compared to those with early thrombocytopenia. Conclusions Our finding from this study adds to previous evidence that thrombocytopenia is associated with adverse outcome of the disease and recommend that platelet count and indices be included alongside other haematological, biochemical and inflammatory markers in COVID-19 patients’ assessment during the hospital stay.
Modeling Impacts of Dengue Vaccination on Sequential Epidemics

The efficiency of dengue vaccines in preventing the infection from multi strain dengue virus is crucial for public health prevention strategies. To understand how the vaccine interrupts the transmission cycle between strains is an important task leading to the prevention plan. We use a mathematical model to investigate the impact of vaccine on the subsequent spread of two dengue virus serotypes. The model suggests how to maintain sufficient amount of vaccine coverage to prevent the subsequent epidemics and the effect of vaccine on the interaction between strains.
Replacing animal fat with edible mushrooms: a strategy to produce high-quality and low-fat buffalo meatballs

The present work investigated the effects of replacing the fat in meatballs with enoki, brown beech, shiitake, white oyster, brown, or king oyster mushrooms on the physicochemical and sensorial characteristics of the reduced-fat meatballs. The water holding capacity of the reduced-fat meatballs increased significantly (14.4 - 36.5%) in parallel to a significant increase in the moisture (3.3 - 5.6%) and protein (4.1 - 7.5%) contents, with a decrease in fat (16.3 - 86.3%) content as compared to the control. No differences were found for the cooking yield and texture properties of the samples, except for the king oyster mushroom which reduced the hardness of the reduced-fat meatballs. The redness of the reduced-fat meatballs was comparable with the control, but reduced in yellowness and lightness. Most of the reduced-fat meatballs had better sensory characteristics as compared to the control, in particular, the meatballs with shiitake mushroom. In conclusion, all the mushrooms tested have the potential to be used as a full fat replacer in meatballs, except for king oyster mushroom which reduced the texture quality of the reduced-fat meatballs.
High-Sensitivity Troponin I for Risk Assessment in Patients With Atrial Fibrillation: Insights From the Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation (ARISTOTLE) Trial

Background— High-sensitivity troponin-I (hs-TnI) measurement improves risk assessment for cardiovascular events in many clinical settings, but the added value in atrial fibrillation patients has not been described. Methods and Results— At randomization, hs-TnI was analyzed in 14 821 atrial fibrillation patients in the Apixaban for Reduction in Stroke and Other Thromboembolic Events in Atrial Fibrillation (ARISTOTLE) trial comparing apixaban with warfarin. The associations between hs-TnI concentrations and clinical outcomes were evaluated by using adjusted Cox analysis. The hs-TnI assay detected troponin (≥1.3 ng/L) in 98.5% patients, 50% had levels >5.4, 25% had levels >10.1, and 9.2% had levels ≥23 ng/L (the 99th percentile in healthy individuals). During a median of 1.9 years follow-up, annual rates of stroke or systemic embolism ranged from 0.76% in the lowest hs-TnI quartile to 2.26% in the highest quartile (>10.1 ng/L). In multivariable analysis, hs-TnI was significantly associated with stroke or systemic embolism, adjusted hazard ratio 1.98 (1.42–2.78), P=0.0007. hs-TnI was also significantly associated with cardiac death; annual rates ranged from 0.40% to 4.24%, hazard ratio 4.52 (3.05–6.70), P<0.0001, in the corresponding groups, and for major bleeding hazard ratio 1.44 (1.11–1.86), P=0.0250. Adding hs-TnI levels to the CHA2DS2VASc score improved c-statistics from 0.629 to 0.653 for stroke or systemic embolism, and from 0.591 to 0.731 for cardiac death. There were no significant interactions with study treatment. Conclusions— Troponin-I is detected in 98.5% and elevated in 9.2% of atrial fibrillation patients. The hs-TnI level is independently associated with a raised risk of stroke, cardiac death, and major bleeding and improves risk stratification beyond the CHA2DS2VASc score. The benefits of apixaban in comparison with warfarin are consistent regardless of hs-TnI levels. Clinical Trial Registration— URL: http://www.clinicaltrials. gov. Unique identifier: NCT00412984.
Postural balance in pregnancies complicated by hyperemesis gravidarum

Abstract Objective: To assess postural balance in females with pregnancies complicated by hyperemesis gravidarum (HG). Methods: In this observational study, postural balance during the first trimester was measured using the Biodex Balance System (BBS) in 41 pregnant females (20 females with pregnancies complicated by HG and 21 healthy controls). The overall stability index (OA), anterior-posterior stability index (APSI), medial-lateral stability index (MLSI) and fall risk test (FRT) scores were obtained from the mean scores of three trials on the BSS. The four measurements obtained from the BBS (OA, APSI, MLSI and FRT) were compared between healthy pregnant females and those with pregnancies complicated by HG (HG group). Results: The mean OA and APSI scores were significantly higher in the HG group compared to healthy pregnant controls (p < 0.01). There was no significant difference in the MLSI between the two groups (p > 0.05). The FRT scores of HG patients were higher than healthy pregnant females (p = 0.001). Conclusions: Pregnant females with HG have poor postural stability/balance and high fall risk test scores. HG causes decreased postural equilibrium in the first trimester of pregnancy.