Miracle-dz/UniFAR-FTUs huggingface dataset:
Major Causes of Preventable Death in Trauma Patients

Purpose: Trauma is the top cause of death in people under 45 years of age. Deaths from severe trauma can have a negative economic impact due to the loss of people belonging to socio-economically active age groups. Therefore, efforts to reduce the mortality rate of trauma patients are essential. The purpose of this study was to investigate preventable mortality in trauma patients and to identify factors and healthcare-related chal-lenges affecting mortality. Ultimately, these findings will help to improve the quality of trauma care. methods: We analyzed the deaths of 411 severe trauma patients who presented to Gachon University Gil Hospital regional trauma center in South Korea from January 2015 to December 2017, using an expert panel review. results: The preventable death rate of trauma patients treated at the Gachon University Gil Hospital regional trauma center was 8.0%. Of these, definitely preventable deaths comprised 0.5% and potentially preventable deaths 7.5%. The leading cause of death in trauma patients was traumatic brain injury. Treatment errors most commonly occurred in the intensive care unit (ICU). The most frequent management error was delayed treatment of bleeding. Conclusions: Most errors in the treatment of trauma patients occurred in early stages of the treatment process and in the ICU. By identifying the main causes of preventable death and errors during the course of treatment, our research will help to reduce the preventable death rate. Appropriate trauma care systems and ongoing education are also needed to reduce preventable deaths from trauma.
Characterization of δ-KZnPO4 by X-ray powder diffraction

The structural parameters of a second low-temperature form of KZnPO4 have been refined using Rietveld analysis of X-ray powder diffraction (XRPD) data. This form of KZnPO4 is isostructural with NH4ZnPO4I and has previously been denoted as KZnPO4II. This article uses the notation δ-KZnPO4, to be consistent with the α, β, and γ notation commonly used for other KZnPO4 phases.
TCRM_A_275779 1039..1046

1Department of Medical Specialties, Pneumology Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy; 2Unit of Clinical Immunology, Allergy and Advanced Biotechnologies, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy; 3Department of Radiology, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy Abstract: The outbreak of the novel severe acute respiratory syndrome coronavirus (SARSCoV-2) started in China in December 2019. COVID-19 patients at presentation show a wide spectrum of clinical and pathological involvement. We report two cases of respiratory insufficiency due to COVID-19 pneumonia that occurred in adults without a history of respiratory diseases. Although these patients improved and were discharged from the acute ward, during the hospitalization they both progressed with a subsequent clinical and radiological worsening, pointing out one of the main concerns for these patients at discharge: the possibility of developing persistent lung abnormalities also in healthy people not having other risk factors. In conclusion, these cases represent two examples of early lung fibrosis in patients with COVID-19 pneumonia with different severity disease evolution and highlight the need for long-term follow-up strategies. The etiology of this fibrosis is under discussion: we suppose that it could be due to either a possible outcome of natural history of lung damage produced by ARDS, or to the lung injury related to high oxygen level or to the lung damage directly induced by viral infection or finally to the autoimmune response. At this moment, it is not possible to predict how many people will have consequences due to COVID-19 pneumonia, and therefore we believe that careful follow-up should be mandatory.
Impact of Invasive Alien Species- Acacia nilotica on the Remnant Dry Deciduous Forest of Palu Valley, Central Sulawesi, Indonesia

Aims: The study was carried out to assess the species composition, vegetation structure, regeneration and possible direction of vegetation development due to Acacia nilotica invasion. Study Design: The study applied the vegetation analysis and remote sensing technique in the deciduous forest of the Palu Valley in Central Sulawesi. Place and Duration of Study: The study was conducted in Biromuli District, Sigi Regency, Central Sulawesi Province of Indonesia in February 2019. Methodology: Species composition, vegetation structure and regeneration were studied using the split plot method, while the specific population and distribution of A. nilotica were studied using drone photos in an area of 10.24 ha. Results: Individuals >2cm in diameter are 24 species, 22 genera and 14 families. The main species are Tabernaemontana pandacaqui, A. nilotica and Jatropha gossypiifolia. The ground vegetation Original Research Article Siregar et al.; ARRB, 36(7): 97-111, 2021; Article no.ARRB. 71424 98 (diameter<2cm) contained 21 species, 21 genera and 17 families, dominated by Digitaria ciliaris and A. nilotica. The species diversity index is 2.3880 (moderate), while the species evenness index is 0.75 (unstable). Density of 1.069 individual’s per ha and total basal area 2.48 m per ha. The dominance of individuals with a diameter of 2.0-4.9 cm (62.9%), followed by diameter of 5.0-9.9 cm (32.4%), and diameter of 10 cm up (4.67%). The canopy layer consists of only one main layer at a height of 4-7m. Canopy analysis using drone photos showed that 27% of the total forest canopy area and 32.9% of the total individuals were controlled by A. nilotica. Conclusion: The dry forest in Sigi is the remnant deciduous forest located specifically in the Palu Valley which is still in the process of development. The invasion of A. nilotica needs to be controlled in a sustainable way so that the rest of the forest does not turn into a stretch of A. nilotica.
Interactions of Phenolic Acids and β-Glucan: Studies of Adsorption Isotherms and Thermodynamics

Interactions between polyphenols and dietary fiber might play an important role in polyphenol bioactivities. These interactions can be studied through adsorption processes. The aim of this study was to investigate the adsorption of phenolic acids (p-coumaric acid, caffeic acid, chlorogenic acid) onto dietary fiber – β-glucan. Adsorption was carried out at different temperatures (25, 37, and 45 °C) and pH values (1.5, 5.5, and 10). Non-linear isotherm adsorption models (Langmuir, Freundlich, Dubinin-Radushkevich, Temkin, Hill) were applied to analyze the data. Experimentally determined adsorption capacities showed some fluctuations with temperature and pH. Adsorption isotherms modelled the experimentally determined adsorption capacities well. According to isotherm parameters, it can be suggested that the adsorption was a physical process with non-covalent bonding at all temperatures and pH. Thermodynamic parameters showed that the adsorption was spontaneous (except for chlorogenic acid) and exothermic. Adsorption isotherms and thermodynamics gave useful information about phenolic acid – b-glucan interactions.
Portal Vein Reconstruction in Solid Pseuodpapillary Epithelial Tumor of Pancreas-Case Series and Review of Literature

Original Research Article Solid Pseudopapillary Epithelial Neoplasm (SPEN) are rare pancreatic tumours, which have generated curiosity of surgeons due to their variable biologic nature. We report three cases of SPEN in young females presenting with hematemesis, nausea, anorexia, abdominal pain and weight loss. Based on computed tomography each of these cases were found to have the neoplasm in pancreas with portal vein (PV) involvement. SPEN is a benign tumour with only 5% displaying malignant features [1]. All three cases were managed by Whipple's pancreaticoduodenectomy with PV resection and reconstruction. Histology and immunohistochemistry confirmed the diagnosis of SPEN in all cases. All cases were followed up and after one year all revealed a patent PV graft with normal flow pattern and no recurrence of disease. Since SPEN has low malignant potential with a favourable prognosis, aggressive management should be pursued. PV invasion by the lesion is neither a contraindication for surgery, nor does it indicate poor prognosis. SPEN with vascular invasion can be managed safely with vascular resection and reconstruction and has a good prognosis.
Cloning, Expression and Structural Modeling of the MlrA Protein from Novosphingobium sp. KKU25s for Microcystin Degradation

MlrA is a gene involved in the degradation of toxic cyanobacterial microcystins. This gene encodes microcystinase, mlrA, the 1 enzyme in the pathway that breaks down toxic cyanobacterial microcystins. In this study, primers were designed, and polymerase chain reaction (PCR) was performed to amplify the mlrA gene in Novosphincgobium sp. KKU25s. A PCR product of 752 base pairs was obtained. The nucleotide sequence of the mlrA gene of Novosphingobium sp. KKU25s was similar to that of Sphingomonas sp. ACM-3962 (98 % similarity). The mlrA gene of Novosphingobium sp. KKU25s was further cloned into the pGEM T-Easy plasmid to obtain the nucleotide sequence of the mlrA gene. The gene was also ligated into the pET32a plasmid for gene expression. Expression was induced by isopropyl β-D-1-thiogalactopyranoside (IPTG) and verified using SDS-PAGE. The expressed protein was approximately 22 kilodaltons. The cell-free extract (CE) containing the crude protein from confirmed recombinant cells showed high activity in the biodegradation of [Dha] MC-LR. [Dha] MC-LR at an initial concentration of 30 mg L and was completely biodegraded within 30 h. A distinct product derived from [Dha] MC-LR appeared with a decrease in the [Dha] MC-LR peak in the HPLC profile. The product (m/z 999.51) showed a molecular weight of 18, which is higher than that of native [Dha] MC-LR (m/z 981.50), and was determined to be a linearized peptide fragment of [Dha] MC-LR using LC-MS analysis. The 3-dimensional structure of microcystinase was predicted from the amino acid sequence deduced from the mlrA gene by the Swiss Model and Phyre2 programs. The structure contained a predicted alpha helix. The predicted 3-dimensional structure was also similar to that of a protein in the CAAX protease group.
Localized characteristic velocity (c*) for rocket combustion analysis based on gas temperature and composition via laser absorption spectroscopy

In this work, a method for experimentally determining a local characteristic velocity, c∗ , is presented for purposes of analyzing rocket combustion progress based on in-situ laser absorption spectroscopy measurements of temperature and gas composition. Measuring c∗ from spatially-varying thermochemical properties provides an alternative to the classical c∗ evaluation, which uses global chamber pressure and mass flow rate measurements. Accordingly, the novel method provides more detailed insight to the underlying mechanisms (multi-phase thermochemistry, diffusive mixing, turbulence, etc) governing combustion performance in the spatial domain. The method is demonstrated on an RP-2/O2 liquid-propellant rocket engine (LRE) and a PMMA/O2 hybrid rocket combustion experiment. Localized c∗ results for the LRE are obtained via in-chamber measurements of temperature, CO, and CO2 and are presented over a range of pressures ( P= 28–83 bar) and mixture ratios (MR = 2.5–5). For the hybrid rocket combustion experiment, one-dimensional tomographic reconstruction techniques are used to spatially-resolve the flow-field thermochemistry and obtain spatially-resolved measurements of temperature, CO, CO2, and H2O. These measurements are compiled to obtain spatially-resolved c∗ images of the combustion zone. The c∗ results from both experiments are compared to the theoretical c∗ expected from chemical equilibrium, providing for a method to assess combustion performance or progress locally within the combustion zone.
Axiomatic design of a man-machine interface for Alzheimer’s patient care

Axiomatic thinking framework is used to develop a novel concept of “Care-Toy,” which helps caregivers of Alzheimer’s and dementia patients by providing much needed respite for themselves without compromising patients’ safety. “Care-Toy” interacts with a patient via stimulating images and sounds for touch interactions, actively keeping the patient’s attention for a needed duration as well as monitoring the patient’s status or alerting the caregiver if necessary. Systems solution for this concept could be effectively elaborated with the Axiomatic Design framework, leading to the development of a key module intended for measuring and maintaining the attention of the patient during the respite of caregivers. Gaze detection is the key module based on deep learning-based facial recognition system to monitor whether “Care-Toy” attracts the patient’s interest and maintains attention, otherwise to alert the caregiver. The module-junction structure could be derived from the decomposed functional requirement (FR)-design parameter (DP) tree structure and design matrices of them, which effectively defines the software system structure for this product.
Structural and optical analysis of gamma-induced modification in polycarbonate nuclear track detector

Makrofol BL 6–2 films were irradiated with gamma-doses from 45 kGy to 225 kGy. FTIR, surface roughness, UV/Vis and photoluminescence (PL) spectrometers were used to study the change in structure and optical properties of irradiated films. The FTIR spectra exhibit that the band intensities of chemical bonds of irradiated-films are affected by irradiation according to the value of gamma dose. An enhancement of the surface roughness parameters was observed in the irradiated-films. UV/Vis spectra showed that the optical absorption of irradiated films is shifted toward the lower photon energies with an increase in gamma-doses. This shift was associated with the decrease in energy gap. The obtained results of optical parameters are modified after irradiation. The PL results confirm that the photoemission property is modified by gamma-irradiation. The acquired results can help in modifying and modeling the properties of such irradiated polycarbonate films for their use in industrial and radiation dosimetric applications.
Design of Neural Networks

Artificial Neural Networks (ANN) and Deep Learning (DL) are used to solve complex problems including image recognition, speech recognition and have applications in new technologies for autonomous driving, facial recognition, detecting cancers from imaging samples among others. Various design considerations are involved in the design, training, and testing of Artificial Neural Networks (ANN). These include the design of the input/output layer, the structure and number of hidden layers, the data/data-structures of variables, the transformative functions embedded in the network, the optimizers being considered, the learning rate and its systematic adjustment, the prudent usage of dropout, the parallelism-related batch-size, the number of epochs, the adaptive logic for systematically changing the network for better fit, etc. While all these methods and techniques are sensible and relevant, there lacks an overarching framework for the needed design. This paper considers the design of an ANN from an Axiomatic Design (AD) perspective that parallels the biological inspiration for ANN’s in the first place, i.e., the brain. The axiomatic design approach is used for explicating and extricating the form, function, and adaptive evolution of the underlying network.
A rolling bearing fault diagnosis method using novel lightweight neural network

As an important part of rotating machinery, rolling bearing fault will lead to equipment fault, resulting in loss of property and personal safety. To overcome the deficiency of traditional methods, such as low recognition accuracy, slow diagnosis speed, and relying on manual extraction of features, a novel bearing fault diagnosis method based on inverted residual convolutional neural network embedded with squeeze-and-excitation block (SE-IRCNN) is proposed. This method adopts a lightweight concept to reduce the calculation amount significantly. The body of the model is built with inverted residual blocks to reduce the feature loss in the dimensional reduction. Squeeze-and-excitation block is embedded to recalibrate the features. The universality and robustness of the method are verified by changing the ratio of the train set and test set under two experimental datasets. Compared with the commonly used methods, SE-IRCNN has a smaller calculation amount, faster diagnosis speed, and higher accuracy.
Increasing the performance of a Salt Washing Machine through Axiomatic Design

Systems with fewer design parameters (DPs) than functional requirements (FRs) are coupled or cannot achieve all their FRs simultaneously, as per Axiomatic Design's theorem 1. In that case, production processes have lower productivity and production rate than uncoupled or decoupled designs. This paper reports the upgrading of a salt washing machine concerning its performance, not only on separation of salt from saltwater but also on washed salt production. The machine analysis showed it is a coupled design, with one more functional requirement than the design parameters. A viable enhancement was the addition of one design parameter, which made it possible to control separation and washing independently. This redesign enforced functional independence and allowed increasing the production rate between 20% and 30%. Furthermore, one could perceive increased productivity, quality of the final product, and reduced water and energy consumption.
Chaos in a Hybrid Food Chain Model

In this paper, chaotic and periodic dynamics in a hybrid food chain system with Holling type IV and Lotka-Volterra responses are discussed. The system is observed to be dissipative. The global stability of the equilibrium points is analyzed using Routh-Hurwitz criterion and Lyapunov direct method. Chaos phenomena is characterized by attractors and bifurcation diagram. The effect of the controlling parameter of the model is investigated theoretically and numerically.
DEFINITE INTEGRAL OF LOGARITHMIC FUNCTIONS AND POWERS IN TERMS OF THE LERCH FUNCTION

A family of generalized definite logarithmic integrals given by $$\int_{0}^{1}\frac{\left(x^{ i m} (\log (a)+i \log (x))^k+x^{-i m} (\log (a)-i \log (x))^k\right)}{(x+1)^2}dx$$built over the Lerch function has its analytic properties and special values listed in explicit detail. We use the general method as given in [6] to derive this integral. We then give a number of examples that can be derived from the general integral in terms of well known functions.
Data Analytics based Credit card Fraud Detection system using Logistic Regression

: In the present scenario with the great improvements in technology, credit cards are used for online purchasing and cause sudden outbreak in credit card fraud. Fraud detection is concerned with not only capturing the fraudulent events, but also capturing of such activities as quickly as possible. In the existing credit card fraud detection system, fraudulent transaction will be detected after transaction is done. Thus, fraud is spreading all over the world, resulting in huge financial losses. Our project presents an analysis to compare the performance of “Logistic Regression” method in credit card fraud detection with a data set. At the same time, this project trying to ensure that genuine transactions are not rejected.
Fabrication et caractérisation avancée de cellules photovoltaïques à base de nanofils de ZnO

L’oxyde de zinc est un semiconducteur pressenti pour une large variete d’applications optoelectroniques, biologiques ou encore detecteurs de gaz. En effet, en plus d’etre un materiau abondant, il possede plusieurs proprietes remarquables comme sa large bande interdite de 3,33 eV, sa grande mobilite electronique de 200 cm²/(V.s) mais egalement sa capacite a croitre sous plusieurs formes nanometriques par des techniques de depot bas cout et facilement adaptables au milieu industriel. Les nanofils de ZnO elabores par la technique de depot en bain chimique seront utilises dans cette these pour leur integration dans des cellules solaires de 3eme generation. Dans ces cellules, la morphologie des nanofils ainsi que leur dopage est primordial pour obtenir des rendements interessants. Ce dernier aspect en particulier n’a cependant pas ete etudie en details dans la litterature concernant le depot en bain chimique. Ce travail presente donc une facon innovante de controler simultanement la morphologie et le dopage des nanofils par cette technique de depot. Un mecanisme de croissance et de dopage a ete determine grâce a des simulations thermodynamiques, des mesures de pH in-situ et plusieurs methodes de caracterisation telles que la microscopie electronique a balayage et a transmission, la diffraction des rayons X, la spectroscopie Raman en temperature et la microscopie a force atomique en mode electrique. Les nanofils de ZnO realises sont ensuite integres dans des cellules solaires a colorant pour etudier l’interet de l’optimisation des nanofils sur les performances des cellules solaires. Finalement, ces nanofils de ZnO combines a une electrode en nanofils d’argent peuvent etre integres sur substrat flexible pour realiser une cellule a colorant plus legere et maniable et donc visant davantage d’applications.
Workplace incivility and turnover intention among nurses of public healthcare system in Pakistan

Though workplace incivility is a negative behavioral phenomenon that has infiltrated almost every sector, yet, less investigated in the healthcare sector. The healthcare sector is the backbone for economic and well-being for any nation and mainly composed of nurses. Turnover among nurses is a serious challenge to public healthcare facilities in terms of management, financing, and service quality. Based on the COR theory, this study capitalizes investigation on the effects of incivility on turnover intention through burnout and occupational stress. Simple random sampling was deployed on a sample of 265 nurses from 24 public hospitals of Sindh in Pakistan. Data analysis through partial least square and results revealed that workplace incivility has insignificant relation with turnover intention. Whereas, incivility has a significant indirect relationship with turnover intention through burnout and occupational stress. This study suggests that emotional and occupational depletion in public healthcare is high due to incivility at the workplace. Thus, HR managers must devise policies to practice civil behavior to curtail turnover intention problem among nurses. Besides practical benefits, some limitations with potential future research directions are discussed in the end.
Screening of Potential Plant Growth Promoting Properties of Bacillus Species Isolated from Different Regions of Nepal

The deleterious effects of intensive use of chemical fertilizers and pesticides in agriculture has led to the substantial research efforts on finding the alternatives to these agrochemicals. This study was aimed to isolate Bacillus species from soil of different regions of Nepal and screen for their ability to promote plant growth directly or indirectly by testing their ability to produce plant growth hormone indole acetic acid, hydrogen cyanide, ammonia and protease as well as phosphate solubilization. Thirty nine Bacillus strains were isolated from 25 soil samples of different regions of Kathmandu and Chitwan districts of Nepal. These isolates were tested for plant growth promoting traits in vitro. Among the total isolates, about 48.7% were indole acetic acid producers, 38.4% of the isolates showed the ability to solubilize the phosphate, 71.8% were able to produce ammonia and all the isolates had the ability to produce hydrogen cyanide and protease. The isolated strains showed positive results to maximum PGPR traits and exhibited a potential to be used as alternatives to chemical fertilizers and pesticides and could be used as low-cost bio-based technology to promote plant growth in the agricultural sector.