Miracle-dz/UniFAR-FTUs huggingface dataset:
Risk Stratification for In-Hospital Mortality in Adult Patients with COVID-19

Background: Since the outbreak of coronavirus 2019 (COVID-19), identifying risk factors associated with in-hospital mortality has been a global priority. In this study, the purpose was to evaluate the clinical, laboratory, and radiological characteristics of hospitalized patients with COVID-19 to develop a predictive model and scoring system for in-hospital mortality. Methods: In this retrospective cohort study, 611 adult patients with COVID-19, admitted to Sina hospital were enrolled and followed up. Results: Out of the total number of 611 patients, 104 patients (17%) deceased during hospitalization, including 75 (12.2%) deaths in ICU and 29 (4.7%) deaths in the wards. After multivariate logistic regression analysis, several characteristics including age >55 years, previous history of malignancy, history of cerebrovascular accident, tachypnea on admission, CRP>54 on admission, D-dimer>1300, and bilateral pulmonary consolidation on chest Computed Tomography (CT) were shown to be the main determinants for stratifying the risk for in-hospital death. The factors were finally considered for introducing a new predictive scoring system for COVID-19 related death. Conclusion: In-hospital mortality rate in patients with COVID-19 is estimated to be 17%. A new scoring system for predicting in-hospital mortality in such patients was structured based on determinant factors of advanced age, history of malignancy, cerebrovascular accident, tachypnea, raised CRP, raised D-dimer on admission, and bilateral pulmonary consolidation on chest CT scan.
Probabilistic-Forecasting-Based Admission Control for Network Slicing in Software-Defined Networks

Network slicing is one the key features of software-defined networks (SDNs) and can be used in next-generation communication networks. Admission control of network slices is the basis of providing the heterogeneous quality-of-service performance guarantee and maximizing the optimization objectives of the network operator. Various admission control mechanisms have been proposed in the literature, including those based on traffic forecasting. However, recurrent neural network-based probabilistic forecasting models have not been given thorough consideration for slice admission control. In this study, the network slicing scheme design problem is formulated mathematically, with an equivalent formulation of the constrained bandwidth-sharing scheme. Then, a DeepAR-based slice admission control mechanism is proposed for sequential decision making for network slice requests in SDN, with the support of the SDN controller. An improved variant is further proposed with a closed-loop parameter update mechanism. The experiments based on real-world historical traffic data validate the effectiveness of the proposed mechanisms, with metrics, including revenue, resource reservation and utilization ratios, and service admission ratio.
Enhancement of Twitter event detection using news streams

A new framework for improving event detection is proposed that employs joint information in news media content and social networks, such as Twitter, to leverage detailed coverage of news media and the timeliness of social media. Specifically, a short text clustering method is employed to detect events from tweets, then the language model representations of the detected events are expanded using another set of events obtained from news articles published simultaneously. The expanded representations of events are employed as a new initialization of the clustering method to run another iteration and consequently enhance the event detection results. The proposed framework is evaluated using two datasets: a tweet dataset with event labels and a news dataset containing news articles published during the same time interval as the tweets. Experimental results show that the proposed framework improves the event detection results in terms of F1 measure compared to the results obtained from tweets only.
Software by Numbers: Strategies for High Return, Low Risk Application Development

Software by Numbers is a significant new contribution to value-based, financially responsible software engineering. -Barry Boehm, Ph.D., Director, USC Center for Software Engineering, Creator of COCOMO and Spiral ModelLink software development to value creation and optimize ROI.Ultimately, software development is about creating value-yet, all too often, software fails to deliver the business value customers need. This book will help you change that, by linking software development directly to value creation. You'll learn exactly how to identify which features add value and which don't-and refocus your entire development process on delivering more value, more rapidly.Software by Numbers shows you how to: Identify Minimum Marketable Features (MMFs)-the fundamental units of value in software development Accelerate value delivery by linking iterative development to iterative funding Optimize returns through incremental architecture techniques Effectively involve business stakeholders in the development process Sequence feature delivery based on "mini-ROI" assessments Quantify financial risk at every step throughout the development process Manage "intangibles" throughout the software development processWhatever methodology you're already using-whether it's RUP or XP-this book shows how to achieve the goals that matter most to your business: reduced risk, better cash flow, and higher ROI.
Poultry Coccidiosis-A Concurrent Overview on Etiology, Diagnostic
 Practices, and Preventive Measures

Coccidiosis is a major parasitic disease in the poultry industry, with great economic implications worldwide. It is a ubiquitous protozoan infection caused by several species of the genus Eimeria (host-specific) that colonize and reproduce in the intestine of birds, ultimately altering the health and performance of the flock. At present, several methods are used to diagnose coccidiosis in poultry, including field and laboratory techniques (intestinal lesion scoring, oocyst counting in feces, and biochemical and molecular diagnosis). Traditionally, diagnosed flocks have been treated either by vaccination to improve the active immunity of the birds against coccidiosis or supplementation of prophylactic anticoccidials to ameliorate the deleterious effects of coccidiosis. However, these methods has certain drawbacks such as vaccine-induced coccidiosis, drug resistance, and residual drug accumulation in the host. Consequently, alternative safe anti-coccidial agents, including the use of phytogenic compounds, have been explored for preventing coccidiosis. Here, we provide a simple overview of the literature on poultry coccidiosis by focusing on the etiology, diagnostic practices, and preventive measures. (
AN OPERATIONAL PLANNING CONCEPT FOR DEEP LANE STORAGE SYSTEMS

The main advantage of deep lane storage systems compared with conventional high bay warehouses is seen in a better space utilization, because products are stored in channels one pallet behind the other. However, for deep lane storage systems the last‐in‐first‐out principle holds and direct access to pallets is lost apart from the last pallet entering a channel. To operate deep lane storage systems effectively, namely, providing high throughput rates even at times of high storage rack utilization requires a sophisticated operational planning system. We will describe a totally new concept consisting of five modules for storage and retrieval assignments, as well as for a reorganization of storage location occupations.
Rno_circ_0001004 Acts as a miR-709 Molecular Sponge to Regulate the Growth Hormone Synthesis and Cell Proliferation

(1) Background: As a novel type of non-coding RNA with a stable closed-loop structure, circular RNA (circRNA) can interact with microRNA (miRNA) and influence the expression of miRNA target genes. However, circRNA involved in pituitary growth hormone (GH) regulation is poorly understood. Our previous study revealed protein kinase C alpha (PRKCA) as the target gene of miR-709. Currently, the expression and function of rno_circRNA_0001004 in the rat pituitary gland is not clarified; (2) Methods: In this study, both bioinformatics analysis and dual-luciferase report assays showed a target relationship between rno_circRNA_0001004 and miR-709. Furthermore, the rno_circRNA_0001004 overexpression vector and si-circ_0001004 were constructed and transfected into GH3 cells; (3) Results: We found that rno_circRNA_0001004 expression was positively correlated with the PRKCA gene and GH expression levels, while it was negatively correlated with miR-709. In addition, overexpression of rno-circ_0001004 also promoted proliferation and relieved the inhibition of miR-709 in GH3 cells; (4) Conclusions: Our findings show that rno_circ_0001004 acts as a novel sponge for miR-709 to regulate GH synthesis and cell proliferation, and are the first case of discovery of the regulatory role of circRNA_0001004 in pituitary GH.
HNRNPK is retained in the cytoplasm by Keratin 19 to stabilize target mRNAs

Heterogeneous nuclear ribonucleoprotein K (HNRNPK) regulates pre-mRNA processing and long non-coding RNA localization in the nucleus. It was previously shown that shuttling of HNRNPK to the cytoplasm promotes cell proliferation and cancer metastasis. However, the mechanism of HNRNPK cytoplasmic localization, its cytoplasmic RNA ligands, and impact on posttranscriptional gene regulation remain uncharacterized. Here we show that the intermediate filament protein Keratin 19 (K19) directly interacts with HNRNPK and sequesters it in the cytoplasm. Correspondingly, in K19 knockout breast cancer cells, HNRNPK does not localize in the cytoplasm, resulting in reduced cell proliferation. We mapped cytoplasmic HNRNPK target mRNAs using PAR-CLIP where transcriptome data to show that, in the cytoplasm, HNRNPK stabilizes target mRNAs bound to the 3’ untranslated region at the expected C-rich sequence elements. Furthermore, these mRNAs are typically involved in cancer progression and include the p53 signaling pathway that is dysregulated upon HNRNPK knockdown or K19 knockout. This study identifies how a cytoskeletal protein can directly regulate gene expression by controlling subcellular localization of RNA binding proteins to support pathways involved in cancer progression.
Use of Chitosan for Enhancing the Process of Surface Water Purification in Egypt

Natural Organic Matter (NOM) is found in all surface waters. An increase in the amount of NOM over the past 10-20 years has been observed in raw water supply in many areas in Egypt, which has had a significant impact on drinking water treatment. Water scarcity and the increased contamination of drinking water has led to increased doses of coagulants and disinfectants used in water treatment, which has led to increased sludge volume and the production of harmful residual byproducts. In this paper, the results of experiments using an experimental model carried out to investigate improving the removal efficacy of NOM using a natural coagulant, such as chitosan, along with alum, are presented. The results show the use of chitosan is effective in removing NOM and reducing algae and turbidity. In addition, a dose of chitosan added to alum successfully reduced the amount of alum needed in the purification process.
Associations between patient experience and clinical outcomes at a level I trauma center: a cross-sectional survey-based study

Background: Helping survivors of traumatic injuries achieve optimal recovery is a crucial global health issue. Traumatic injuries present major implications for the health of patients, care systems, and world economies. Focusing on the improvement of structures and processes that influence hospitalized trauma patient experience is a potentially important way to improve outcomes and health-related finances. The purpose of this study is to determine if there are associations between patient experience and clinical outcomes for hospitalized trauma patients. Methods: The study used a cross-sectional design. Primary data was collected in March and April 2020. Potential participants were 95 trauma patients who received care for traumatic injuries at a United States urban Level I trauma center from November 2018 to January 2020 and consented to be contacted for future research. Phone surveys were used to collect quantitative and qualitative data on participants’ patient experiences and health outcomes related to their hospitalization. Additional health outcomes were collected from participants’ electronic health records. General linear and Poisson regressions were used to analyze associations between experience and outcomes. Differences between injury severity groups were analyzed using chi-square and t-tests. Results: Thirty participants completed the phone survey, a response rate of 31.6%. Positive nurse communication was associated with a significantly lower risk of hospital-acquired complications compared to negative nurse communication (−33%; 95% CI, −61% to −5.5%). Patients with severe injuries had a lower risk of 30-day readmissions when reporting positive nurse communication (−56% decrease; 95% CI, −88% to −23%), positive doctor communication (−50%; 95% CI, −81% to −19%), and positive overall hospital rating (−56%; 95% CI, −99% to −13%) when compared to severely injured patients who reported negative nurse and doctor communication and overall rating. Conclusions: This study shows that aspects of patient experience, especially those related to communication with providers, are significantly associated with clinical outcomes for acute trauma patients, with potential implications for Continuous Quality Improvement and value-based reimbursement. Additional research would confirm if these associations exist for larger samples and patients treated for traumatic injuries in non-urban settings.
Repertory Grid Technique in a participatory design of games for older people

With the aging society, there is an increasing need for services and software focused on older people. Digital games are one option of software to be provided as tools for entertainment, education, and well-being. However, to deliver these benefits, games must be developed according to the needs and preferences of older people. Seeking to improve the process of eliciting preferences from the target public, we applied Repertory Grid Technique (RGT) during the participatory design of a game. RGT is a cognitive interviewing technique based on Personal Construct Psychology, which has applications in different areas, including computer science. Although many articles discuss the application of RGT in the development of systems, we did not find, in the literature, any application of the technique with older people. We developed a game focusing on older people to understand better how such technique could contribute to game development, following action research methodology. We carried out three cycles of action research, all of which involved the use of RGT. The results indicate some benefits of using RGT instead of traditional semi-structured interviews. The main contribution of this work is to provide researchers with an initial understanding of the benefits of the application of the Repertory Grid Technique for the interviews with older people and how to use it during a participatory design.
Punicalagin and Ketogenic Amino Acids Loaded Organic Lipid Carriers Enhance the Bioavailability, Mitochondrial β-Oxidation, and Ketogenesis in Maturing Adipocytes

The identification of lipolytic bioactive compounds via the functional stimulation of carbohydrate response element-binding protein-1 (CREBp-1) and AMP-activated protein kinase (AMPK) is most warranted. Nano lipid carriers (NLCs) are currently being considered within drug delivery development as they facilitate controlled drug release and have intracellular bioavailability after encapsulating the active principles with lipid matrix. The present study has been designed to synthesize punicalagin, and ketogenic amino acids (KAA) loaded with organic lipid carriers to optimize the liposome-assisted intracellular delivery’s bioavailability. Punicalagin (PUNI) and KAA (tryptophan, methionine, threonine, lysine, and leucine) were encapsulated with chia seed phospholipids by homogenization, emulsification, and cold ultra-sonication method to obtain nano lipid carriers (NLC). The physicochemical characterization of NLCs has been carried out using Zetasizer, FT-IR, and TEM analysis. Punicalagin and ketogenic amino acid-loaded NLCs (NLC-PUNI-KAA) were identified with an average diameter of 240 to 800 nm. The biosafety of NLC-PUNI-KAA has been evaluated in human mesenchymal stem cells. PI staining confirmed that a 0.4, 0.8 or 1. 6μg/dL dose of NLC-PUNI-KAA potentially maintains nuclear integration. NLC-PUNI-KAA treated with maturing adipocytes decreased lipid accumulation and significantly increased the gene expression levels of fatty acid beta-oxidation (PPARγC1α, UCP-1 and PRDM-16) pathways when compared to free PUNI (5 μg/dL) treatment. The lipolytic potential has been confirmed by the functional activation of AMPK and CREBp-1 protein levels. In conclusion, NLC-PUNI-KAA treatment effectively increased mitochondrial efficiency more than free punicalagin or orlistat treated maturing adipocyte. Enhanced lipolysis and decreased hypertrophic adipocyte resulted in decreased adipokine secretion, which has been associated with the suppression of obesity-associated comorbidities and vascular cell inflammation. The bioefficacy and lipolytic potential of water-soluble punicalagin have been improved after functional modification into NLCs.
Analisa Tanggapan Terhadap Psbb Di Indonesia Dengan Algoritma Decision Tree Pada Twitter

Community opinions are sometimes difficult to convey to the person in charge directly, it encourages people to express their opinions, criticisms and the like through social media, one of which is the popular social media today is Twitter. One collection of opinions or tweets from Twitter users about the PSBB effect one of which can be used as an analysis of public opinion sentiments. Data on the effects of PSBB were obtained as many as 2439 tweets, then processed using data mining techniques (data mining), in which there are processes of Collecting Data, text preprocessing and classification. Then it is tested into three different algorithms to be compared, the algorithm used is Decision Tree, Naïve Bayes Classifier and K-Nearest Neighbors (K-NN ) with the aim of finding the best accuracy. The highest results from this study were the Decision Tree algorithm with an accuracy value of 84.78%, precision 84.78% and recall 100%. Keywords: twitter, sentiment analysis, decision tree
Leadership Development in Tight Times: Scaling up courses without water- ing them down

This paper addresses a challenge many universities face: How can we meet increasing demands for undergraduate leadership development during a time of dwindling resources? Our alumni and industry partners tell us we need to graduate students with more leadership experience – yet we encounter a confluence of conflicting factors that make it difficult to respond accordingly. Leadership development is a long-term process in which students benefit from early and ongoing engagement throughout college. Recommendations by the National Academy of Engineering reinforce educational research that shows learning is enhanced by smaller classes, more direct contact with instructors, and active engagement in real world projects. Yet we struggle to find feasible paths to take action. Pressures to increase enrollment and cut budgets challenge us to find ways to do more with less without diluting the learning experience. Administrators embrace the need to update curriculum to remain current and relevant, yet there is no room to add in a tightly packed four-year program. These tensions require innovative approaches to engineering education and leadership development to meet the challenges of the future. Introduction – An Overall Framework There is general agreement that a renewed focus on leadership development is critical to the future success of the engineering discipline (NAE 2004). Our thinking begins to diverge, however, when we discuss why we face this need, who needs to act, what needs to be done, and how we can begin to take action. This paper offers one curricular model as a point of intervention that has shown early success in preparing leaders at a large public research university while remaining mindful of our national trend toward increasing enrollments and decreasing budgets. The paper ends with lessons learned and guidelines for how to expand and adapt this model at other institutions. There are numerous pockets of activity and local champions of leadership development efforts on many campuses. Overall, however, our collective efforts have been inadequate to respond accordingly with regard to how we cultivate, identify, and intentionally develop engineering leaders of the future. As engineering faculty, the challenge in front of us to develop future engineering leaders is one that industry partners and potential students are expecting us to meet. Yet this challenge comes at a time of dwindling budgets, higher enrollments, and more rigorous research expectations. Many of us feel as if our hands are tied – we know the need, and feel the urgency, yet realize we are ill-prepared to act. To see action, we need individual commitment, surrounded by institutional support, toward a global need. This leaves us with a central question: How do we do more with less?
The Volvo Aero Laser Welded Sandwich Nozzle

The laser welded channel wall technology is the outcome of a project with the objective to develop a cooled wall structure that meets commercial requirements. The technology defined encompasses short development and production lead time and low production cost, which is achieved by only using robust standard processes and commercially available raw material. The Sandwich nozzle technology has previously been hot tested in sub-scale and manufacturing demonstrators of typical size have been made. Further, the technology was chosen for the Pratt&Whitney upper stage expander cycle engine RL60. The sandwich nozzle was successfully developed and manufactured at Volvo Aero and delivered on schedule. The nozzle is now mounted on the RL60 engine and awaits hot fire testing. Recent focus has been on sandwich nozzles for main engines. In line with this, further hot fire testing has been performed (Oct-Nov 2003) at DLR Lampholdshousen of a sub-scale sandwich nozzle in the CALO program, which is a joint effort between DLR, EADS -ST and Volvo Aero Corporation.