Miracle-dz/UniFAR-FTUs huggingface dataset:
The Potential Benefit of Emergency Ultrasound Plus MDCT for The Diagnosis of Major Chest Trauma … A Diagnostic Test Accuracy Study

Background: Multidetector computed tomography (MDCT) has established itself as the preferred imaging modality for the evaluation of polytrauma patients owning to its significantly better ability in detecting tissue but patients are exposed to great amount of radiation during MDCT examination. Ultrasound has the benefits of being reliable, dynamic, rapid, noninvasive technique and freed from radiation. Objective: This study aims to ascertain the role of transthoracic ultrasound for imaging blunt chest trauma patients and compared its sensitivity, specificity and accuracy to those of MDCT as a gold standard modality. Patients and methods: This study was carried on 57 patients, 54 males (94.7%) and 3 were females (5.3%) and ages ranged from 5 to 60 years. All patients were exposed to major blunt chest trauma with or without associated polytrauma. Results: With MDCT as the gold standard, the most common injury detected by ultrasound (US) was pleural in 89.5% of patients with 96% accuracy, chest wall lesions were found in 80.7% of patients with 95% diagnostic accuracy, parenchymal lesions were found in 64.9% of patients with 91% diagnostic accuracy and mediastinal lesions were detected in 3.5% with 91% diagnostic accuracy. The sensitivity and specificity of ultrasonography varied for detecting the subsequent pathologies: rib fracture (89% and 100%) subcutaneous emphysema (87% and100 %), hemothorax (94% and 100%), pneumothorax (89% and 100%), hydropneumothorax (81% and 100%), pulmonary contusions (82% and 100%), lung collapse (93% and 100%), lung laceration (100% and 100%) and hemopericardium (100% and100%), respectively. Conclusions: Chest US proved its value for diagnosis of blunt thoracic injuries with acceptable sensitivity and high specificity, particularly for pleural, pericardial and parenchymal lung injuries.
Assessing predictive factors of the patient’s length of stay in the Emergency room of Yaoundé Central Hospital

We assessed whether the emergency room at Yaoundé Central Hospital (YCH) met international standards; while analyzing factors that are associated with the length of stay, a key performance indicator of the emergency medicine department. Based on the data of patient admissions and discharges recorded from February 2017 to June 2018 in the emergency room of YCH, data was extracted from about two thousand research subjects; then an observational, non-randomized, crosssectional study was conducted. The mean length of stay was 23.73±0.634 hours in the emergency room of YCH. Using binomial logistic regression analysis, the diagnostic severity was positively associated with a long length of stay when controlled for other factors, ORa=1.65, p=0.037; bed availability in the peripheral care units, however, did play a confounding role in the relationship, p=0.026. Furthermore, the analysis of the variances showed that less than 1% of the change that occured in the mean length of stay was explained by sociodemographic factors alone; whereas, less than 6% of that change was due to clinical factors. The patient’s mean length of stay in the emergency room of YCH did not meet international standards. Sociodemographic and clinical factors could not alone explain 93% of the observed long length of stay. We should look for other inputs from factors such as patient’s financial capacity or health insurance availability, protocols of care, diagnostic and therapeutic effectiveness.
Does Economic Confidence Affect Growth in Turkey? RALS Unit Root and Cointegration Approach

The purpose of this study is to examine the impact on economic growth of the confidence (or sentiment) factor in cases where there is a non-normally distributed error between the 2007M1-2019M3 periods for Turkey. In this context, the relationship between economic confidence and growth was investigated using the RALS procedure, which provided stronger results when errors were not normally distributed. ADF and RALS-ADF unit root tests were used to investigate the stationary of the series and EG and RALS-EG cointegration tests were used to investigate the long-term relationship of the series. The results of the unit root test showed that both series were stationary in the first differences; It shows that there is no long-term relationship between the variables according to the EG test and that there is a long-term relationship between the variables according to the RALS-EG test. The size of relationship obtained in the long run was investigated using the DOLS and FMOLS methods and it was concluded that economic confidence has a growth effect of approximately 0.4% on growth. According to this result, the policies to be implemented to increase economic confidence for Turkey will have a positive impact on economic growth.
An Efficient Privacy Preserving Approach for e-Health

Immense Procreation of large amounts of data in medical field and health care domain, benefitting society is at risk with sensitive attributes being disclosed. Access to Medical Information made feasible over internet with an intension of serving the people related to medical community is triggering a challenge for researchers in norms of Privacy and security. The medical data at cloud is vulnerable to unpredictable threats with evolving technology, and the threat landscape sounds resilient with sensitive attributes. In this contemporary stretch, Organizations fail to hold the reputation and are unable to preserve public confidence. The austerity of sophisticated security attacks compromise the privacy of patient data and security of healthcare units. The fruitful approaches by several researches and practitioners provided an up heal resolutions, but the demand for an optimal solution remains unanswered. In this paper we present a solution for addressing the security issues in health care management. We propose a hybrid framework using enhanced Attribute Based Encryption (ABE) with Anonymity approach based on access primitives of sensitive attributes. The proposed mechanism is evaluated in terms of performance, encryption time, decryption time and Memory utilization using Jsim simulator which envisage drastic performance expedition in the presented model. Keywords—e-Health; Attribute Based Encryption (ABE); secure hash algorithm (SHA-1); anonymity; privacy; sensitive parameters
Klasifikasi Sentimen pada Twitter Terhadap WHO Terkait Covid-19 Menggunakan SVM, N-Gram, PSO

On March 2020 World Health Organization (WHO) has declared COVID-19 as global pandemic. As special agency of United Nation who responsible for international public healthy, WHO has done various actions to reduce this pandemic spreading rate. However, the handling of COVID-19 by WHO is not free from a number of controversies that gave rise to criticism and public opinion on the Twitter platform. In this research, a machine learning based classifier model has been made to determine the opinion or sentiment of the tweet. The dataset used is a set of tweets containing the phrase WHO and COVID-19 in period of March 1st until May 6th, 2020 consisting of 4000 tweets with positive sentiments and 4000 tweets with negative sentiments. The proposed classifier model combined Support Vector Machine (SVM), N-Gram and Particle Swarm Optimization (PSO). The classifier model performance is evaluated using the value of Accuracy, Precision, Recall, and Area Under ROC Curve (AUC). Based on experiments conducted, the combination of SVM, N-gram (bigram), and PSO produced a pretty good performance in classifying tweet sentiment with values of Accuracy 0,755, Precision 0,719, Recall 0,837, and AUC 0,844.
ANTIMICROBIAL PEPTIDES EXTRACTED FROM THE AUTOLYSATE OF Saccharomyces cerevisiae AS POWERFUL CANDIDATES FOR FOOD PRESERVATION

Antimicrobial peptides are capable of inhibiting bacteria growth while avoiding or minimizing resistance threat, being found in food matrices such as baker's yeast, a low cost, and GRAS (Generally Recognized As Safe) product. A peptide-rich extract was produced through heat-induced autolysis of Saccharomyces cerevisiae from baker’s yeast. The extract was enriched in <10 kDa peptides by ultrafiltration and inhibited the growth of Acinetobacter genomospecies 3, Pseudomonas aeruginosa, Escherichia coli, Listeria innocua, Staphylococcus aureus and coagulase-negative Staphylococcus saprophyticus with IC50 from 0.79 to 0.10 mg/mL. The fractionation of the filtered extract by gel filtration released fractions with superior or similar antimicrobial activities compared to conventional antibiotics. F1, F5 and F6 exhibited promising activity against E. coli, with IC50 of 6.57 μg/ml and 8.80 μg/ml and 31.08 μg/ml, respectively, while for S. aureus, only F5 exhibited potential with IC50 of 16.17 μg/ml. Further studies are in progress to test other bacterial species.
Segmentation of Motion Capture Data for Human Dance Movement: the case of tango argentino

This is a collection of articles from the seminar of scientific working of the winter termn 2017/18. Articles are ordered alphabetically by the last names of the authors/students. Segmentation of Motion Capture Data for Human Dance Movement: the case of tango argentino Christopher S. Dick e00946375
Hydrophilic Interaction Chromatographic Analysis Of Genistein In Herbs And Propolis

The hydrophilic interaction chromatography (HILIC) coupled with UV detection was employed to study retention behaviour and separation of genistein. The genistein is a compound of the isoflavone family found in natural resources in various plants, including herbs, tea, bee products and legumes such as soybeans. A simple, fast and efficient HILIC-UV method was developed for the quantitative and qualitative purposes of genistein in fenugreek seeds, olive leaf, and propolis. The best separation was achieved using a gradient elution of acetonitrile and acetate buffer on ZIC-HILIC column from Merck SeQuant (100 mm×4.6 mm I.D., 5μm) at 35 °C. The genistein was identified with a UV detector at 260 nm. The result demonstrates that the linear range 0.05-5 μgmL-1, high precision (RSD% < 0.5%), and excellent validated values for both LOD (0.0047 μgmL-1) and LOQ (0.0142 μgmL-1).
Exploiting Multi-Node Device-to-Device Communications for Wireless Video Delivery over Cellular Networks

: . The video is a popular service among users which plays an important role in the networks traffic and has hugest volume of data compared to other types of communications. In recent years, the great willingness of users to watch live videos has attracted the researchers to the networks equipped with content saving devices in which the video content is saved in advance within the edge devices (small stations and smart devices) for fast delivery. In this paper, we have proposed a new method to send the video content based on the D2D connection and providing a multi-connection and multi-user opportunities. According to the random nature of the popularity of video content and the random demands of users in the network, the authors of the article use the random distribution of popularity among users to investigate the probability of sending the same content to some users simultaneously. In this method, the requests of some users are answered by one response. Extensive simulations results of the proposed method reveals the important effect of the random distribution of video content popularity and show that using multi-link D2D connections can cause significant improvements in the efficiency of the network in term of the network throughput.
Analyis of Liquid Mixing and Solid Dissolution for Pharmaceutical Manufacturing in Stirred Tanks

Analyis of Liquid Mixing and Solid Dissolution for Pharmaceutical Manufacturing in Stirred Tanks Francesco Maluta, Giuseppina Montante, Alessandro Paglianti Department of Civil, Chemical, Environmental and Materials Engineering, University of Bologna, via Terracini 34, 40131 Bologna, Italy Department of Industrial Chemistry “Toso Montanari”, University of Bologna, via Terracini 34, 40131 Bologna, Italy francesco.maluta2@unibo.it
SCREENING OF FLUORESCENT PSEUDOMONADS BACTERIA ISOLATED FROM RHIZOSPHERES OF CULTIVATED AND WILD PLANTS IN VITRO FOR PLANT GROWTH PROMOTING TRAITS

Utilization of fluorescent pseudomonads bacteria (FPB) as plant growth promoting agents offers a promising alternative solution to the application of potential harmful agrochemicals. In this study, FPB inhabiting ectorhizosphere and endorhizosphere of different cultivated and wild plants species were enumerated. Rhizospheres of wild plants, in general, were found to harbor high FPB population density compared to rhizospheres of cultivated plants. From counting plates, ninety five FPB isolates representing different morphological types were obtained. The isolates were in vitro screened for activities related to plant nutrition and plant growth regulation, for antifungal traits and for antagonistic potential towards different phytopathogenic fungi. Results showed that varied proportions of the FPB isolates are putative nitrogen fixers, solubilize phosphate and zinc, produce indoleacetic acid, produce varies antifungal traits and inhibit phytopathogenic fungi. Based on the results of screening, isolates were assessed for their ability to function as plant growth promoting rhizobacteria (PGPR) and ranked. Among the top 20 FPB isolates, 8 were isolated from rhizosphere of Rotrait (Zygophyllum coccineum), 6 from Kokia (Spergularia marina L.), 3 from Akol (Alhagi graecorum, boiss), and 3 from Maize (Zea mays L.) plant.
A novel multi-objective-based approach to analyze trade-oﬀs in Fair Principal Component Analysis

In dimension reduction problems, the adopted technique may produce disparities between the representation errors of two or more diﬀerent groups. For instance, in the projected space, a speciﬁc class can be better represented in comparison with the other ones. Depending on the situation, this unfair result may introduce ethical concerns. Aiming at overcoming this inconvenience, a fairness measure can be considered when performing dimension reduction through Principal Component Analysis. However, a solution that increases fairness tends to increase the reconstruction error. In other words, there is a trade-oﬀ between equity and performance. In this context, this paper proposes to address this trade-oﬀ in Fair Principal Component Analysis problems by means of a multi-objective-based approach. For this purpose, we adopt a fairness measure associated with the disparity between the representation errors of diﬀerent groups. Moreover, we investigate if the so-lution of a classical Principal Component Analysis can be used to ﬁnd a fair projection. Numerical experiments attest that a fairer result can be achieved with a very small loss in the reconstruction error.
The All-Weather Portfolio Approach: Analysis of the Strategy on a 10-Year Timeframe, Insights and Investment Lessons

This research article aims to analyze the All-Weather strategy advocated by the very famous hedge fund manager Ray Dalio. Through an analysis of nearly 10-year of market data, we have selected ETF funds to replicate the investment principle by using a classic approach and an approach on "steroids" by incorporating double-leveraged ETF funds to increase the performance of this portfolio. We present the different results that suggest an overall performance that converge with the original analysis proposed in the Bridgewater Associates (2009) research paper that shows the benefits of the All-Weather approach on the overall portfolio risk/return trade-off.
Underutilized Green Banana (Musa acuminata AAA) Flours to Develop Fiber Enriched Frankfurter-Type Sausages

This study aimed to develop a fiber-enriched Frankfurter-type sausage by incorporating underutilized green banana flours as a meat extender, replacing wheat flour with banana flours (8%). A low-fat formulation substituting 12% pork fat with 24% banana peel flour was also studied. Sausages were stored at 4 °C/15 days. Cooking loss was low (5.6–4.1%) in all formulations and the substitution of wheat flour with banana flour did not modify moisture and protein composition, while carbohydrate, fiber, and ashes varied with the flour composition. In the low-fat sausages, fiber carbohydrate and ashes increased the most. Texture and color parameters were very similar for high-fat sausages throughout storage, although low-fat sausage showed higher hardness, while chewiness, L*, and whiteness tended to decrease. During the first week of storage, the microbial growth was scarce and then, an increase, except in the low-fat batch, in which growth remained constant. Enterobacteria and Staphylococcus aureus were not detected during storage. Sensory attributes throughout storage were very similar for all high-fat sausages; the odor in the formulations was defined as “different” but not unpleasant. The low-fat sausages, defined as a new product different from conventional sausages, were well accepted by the panelist. Banana flours are a suitable ingredient option to add nutritional value to Frankfurter-type sausages, which can be consumed by the wheat allergic population.
Molecular Cloning and Functional Characterization of Heat Stress-Responsive Superoxide Dismutases in Garlic (Allium sativum L.)

Superoxide dismutases (SODs) are key antioxidant enzymes that can detoxify the superoxide radicals generated by various stresses. Although various plant SODs have been suggested to improve stress tolerance, SODs in garlic, an economically important vegetable grown worldwide, remain relatively unknown. In this study, we found that heat stress strongly induced the activities of Cu/ZnSODs, FeSODs, and MnSODs in garlic leaves. In addition, we cloned four garlic SODs (AsSODs) and suggest that heat stress-increased SOD activity was reflected at least by the induction of these AsSODs. The results of the agro-infiltration assay suggested that the cloned AsSODs encoded functional SOD enzymes belonging to the Cu/ZnSOD and MnSOD families. As a first step toward understanding the enzymatic antioxidant system in garlic plants, our results provide a solid foundation for an in-depth analysis of the physiological functions of the AsSOD family.
Oxygen Permeability of Silk Fibroin Hydrogels and Their Use as Materials for Contact Lenses: A Purposeful Analysis

Fibroin is a fibrous protein that can be conveniently isolated from the silk cocoons produced by the larvae of Bombyx mori silk moth. In its form as a hydrogel, Bombyx mori silk fibroin (BMSF) has been employed in a variety of biomedical applications. When used as substrates for biomaterial-cells constructs in tissue engineering, the oxygen transport characteristics of the BMSF membranes have proved so far to be adequate. However, over the past three decades the BMSF hydrogels have been proposed episodically as materials for the manufacture of contact lenses, an application that depends on substantially elevated oxygen permeability. This review will show that the literature published on the oxygen permeability of BMSF is both limited and controversial. Additionally, there is no evidence that contact lenses made from BMSF have ever reached commercialization. The existing literature is discussed critically, leading to the conclusion that BMSF hydrogels are unsuitable as materials for contact lenses, while also attempting to explain the scarcity of data regarding the oxygen permeability of BMSF. To the author’s knowledge, this review covers all publications related to the topic.
Deciphering the Molecular Mechanism of Water Interaction with Gelatin Methacryloyl Hydrogels: Role of Ionic Strength, pH, Drug Loading and Hydrogel Network Characteristics

Water plays a primary role in the functionality of biomedical polymers such as hydrogels. The state of water, defined as bound, intermediate, or free, and its molecular organization within hydrogels is an important factor governing biocompatibility and hemocompatibility. Here, we present a systematic study of water states in gelatin methacryloyl (GelMA) hydrogels designed for drug delivery and tissue engineering applications. We demonstrate that increasing ionic strength of the swelling media correlated with the proportion of non-freezable bound water. We attribute this to the capability of ions to create ion–dipole bonds with both the polymer and water, thereby reinforcing the first layer of polymer hydration. Both pH and ionic strength impacted the mesh size, having potential implications for drug delivery applications. The mechanical properties of GelMA hydrogels were largely unaffected by variations in ionic strength or pH. Loading of cefazolin, a small polar antibiotic molecule, led to a dose-dependent increase of non-freezable bound water, attributed to the drug’s capacity to form hydrogen bonds with water, which helped recruit water molecules in the hydrogels’ first hydration layer. This work enables a deeper understanding of water states and molecular arrangement at the hydrogel–polymer interface and how environmental cues influence them.
Hybridization of Oxalis corniculata and O. dillenii in their non-native range

Abstract Many species have been introduced beyond their native ranges and many have become global weeds. Human mediated dispersal has removed the geographic isolation of these species, reversing millions of years of independent evolution. Examples are the Oxalis species in section Corniculatae where several species have become invasive. Here we characterize and formally describe a hybrid between O. dillenii and O. corniculata, which occurs spontaneously in Belgium and Japan. Oxalis corniculata is probably native to Japan, but both species are alien to Belgium and O. dillenii is native to North America. We formally name this hybrid as Oxalis × vanaelstii. Although this hybrid is sterile, it is nevertheless vigorous and perennial. Both parent species grow as weeds in gardens; therefore, it is likely to be more common than currently appreciated in countries where these species co-occur.
Acute syndesmotic injuries in ankle fractures: From diagnosis to treatment and current concepts

A stable and precise articulation of the distal tibiofibular syndesmosis maintains the tibiofibular relationship, and it is essential for normal motion of the ankle joint. The disruption of this joint is frequently accompanied by rotational ankle fracture, such as pronation-external rotation, and rarely occurs without ankle fracture. The diagnosis is not simple, and ideal management of the various presentations of syndesmotic injury remains controversial to this day. Anatomical restoration and stabilization of the disrupted tibiofibular syndesmosis is essential to improve functional outcomes. In such an injury, including inadequately treated, misdiagnosed and correctly diagnosed cases, a chronic pattern characterized by persistent ankle pain, function disability and early osteoarthritis can result. This paper reviews anatomical and biomechanical characteristics of this syndesmosis, the mechanism of its acute injury associated to fractures, radiological and arthroscopic diagnosis and surgical treatment.
Having an Old Friend for Dinner: The Interplay between Apoptotic Cells and Efferocytes

Apoptosis, the programmed and intentional death of senescent, damaged, or otherwise superfluous cells, is the natural end-point for most cells within multicellular organisms. Apoptotic cells are not inherently damaging, but if left unattended, they can lyse through secondary necrosis. The resulting release of intracellular contents drives inflammation in the surrounding tissue and can lead to autoimmunity. These negative consequences of secondary necrosis are avoided by efferocytosis—the phagocytic clearance of apoptotic cells. Efferocytosis is a product of both apoptotic cells and efferocyte mechanisms, which cooperate to ensure the rapid and complete removal of apoptotic cells. Herein, we review the processes used by apoptotic cells to ensure their timely removal, and the receptors, signaling, and cellular processes used by efferocytes for efferocytosis, with a focus on the receptors and signaling driving this process.