Miracle-dz/UniFAR-FTUs huggingface dataset:
OPTIMIZATION OF SENTIMENT ANALYSIS USING DEEP LEARNING TECHNIQUES

: Sentiment analysis is one of the most challenges in natural language processing (NLP). Recently, deep learning algorithms have present impressive results across various NLP tasks. The social networks, forums, user reviews, and blogs generate enormous a lot of data within the type of users' views, emotions, opinions, and arguments about the different social platforms, products, brands, and politics. Sentiments of users that are expressed on the web have a batter influence on the readers, product vendors, and politicians. The unstructured type of data from social media is required to be analyzed and structured and for this purpose, sentiment analysis has recognized significant attention. Sentiment analysis on social media, during which the task of extracting subjective information from e-commerce, social media have drawn great recognition from the data mining community. Social media give a useful insight not only into human ideas but also within the challenges incurred because of large amounts of huge data. These problems comprise the processing of large amounts of streaming data, also as automatically identifying human expressions within text messages.
LLL TO IDENTIFY AND INTEGRATE COMPETENCES AND TOOLS FOR INNOVATION MANAGEMENT. THE INNOVATION PROCESS MAP

Innovation is not just inspiration. As in any human field, innovate requires specific tools and competences that helps not only to deploy intellectual muscle, but also specific actions to plan, evaluate and learn. In addition, using the process map model, the question that arises is which are the process related to produce systematic innovation? The authors suggest to analyses three kind of processes facing how innovation takes place in organizations. Operative processes that interacts directly with customer, strategical process decided just by the top managers and support process to make reality above activities. First step to identify competences in any field is to have a clear idea of the process needed to deploy successfully products and/or services. Which are the process related to innovation? Which are the competences related to the identified processes? Once processes are identified and described, next step is outline the competences needed to execute the process and with which tools. Moreover, considering tools, in which organizational areas is possible to identify tools? In addition, which organizational dimensions are involved? In this paper, authors describe how the process orientation is able to help in the Lifelong learning needs identification. Not only competences but also tools needed in the innovation arena. Competences and tools, tools and competences to produce systematic organizational or technological innovation.
Geostatistical Inspired Metamodeling and Optimization of Nanoscale Analog Circuits

The current trend towards miniaturization of modern consumer electronic devices significantly affects their design. The demand for efficient all-in-one appliances leads to smaller, yet more complex and powerful nanoelectronic devices. The increasing complexity in the design of such nanoscale Analog/Mixed-Signal Systems-on-Chip (AMS-SoCs) presents difficult challenges to designers. One promising design method used to mitigate the burden of this design effort is the use of metamodeling (surrogate) modeling techniques. Their use significantly reduces the time for computer simulation and design space exploration and optimization. This dissertation addresses several issues of metamodeling based nanoelectronic based AMS design exploration. A surrogate modeling technique which uses geostatistical based Kriging prediction methods in creating metamodels is proposed. Kriging prediction techniques take into account the correlation effects between input parameters for performance point prediction. We propose the use of Kriging to utilize this property for the accurate modeling of process variation effects of designs in the deep nanometer region. Different Kriging methods have been explored for this work such as simple and ordinary Kriging. We also propose another metamodeling technique Kriging-Bootstrapped Neural Network that combines the accuracy and process variation awareness of Kriging with artificial neural network models for ultra-fast and accurate process aware metamodeling design. The proposed methodologies combine Kriging metamodels with selected algorithms for ultra-fast layout optimization. The selected algorithms explored are: Gravitational Search Algorithm (GSA), Simulated Annealing Optimization (SAO), and Ant Colony Optimization (ACO). Experimental results demonstrate that the proposed Kriging metamodel based methodologies can perform the optimizations with minimal computational burden compared to traditional (SPICE-based) design flows.
Path Analysis of the Effect of Supply Chain Management and Total Quality Management on Improving Employees Services Quality

This study was done to integrate Total Quality Management (TQM) and Supply Chain Management (SCM) in a unified framework to study improving the employee service quality of rural cooperative companies and obtaining an important tool for competition in future management. All employees of rural cooperative companies of Tehran Province were selected as a statistical population (N= 500). The stratified sampling method (n= 217) was used. To collect information, the questionnaire for SCM and TQM was developed based on an extensive literature review, and its reliability and validity was verified by experts, pilot test, and various statistical techniques. According to the proposed conceptual framework, the direct and indirect impact of the variables was investigated by the Path Analysis in the LISREL software. The results showed that there was a positive significant relationship between dimensions of SCM and TQM. The results of path analysis show the direct impact of all aspects of TQM on internal integration and the effect of “support and leadership of the top management of the organization”, “strategic planning”, and “customer focus”. Also, based on the research results, the management support and “support and leadership of the top management of the organization”, strategic planning, and customer focus have an indirect effect on internal integration. Overall, our findings reveal that building SCM and TQM by strengthening the effect of each other is an effective way to achieve services quality among the employees of rural cooperatives in Tehran Province.
On string solutions of Bethe equations in N = 4 supersymmetric Yang – Mills theory

The Bethe equations, arising in description of the spectrum of the dilatation operator for the su(2) sector of the N =4 supersymmetric Yang–Mills theory, are considered in the anti–ferromagnetic regime. These equations are deformation of those for the Heisenberg XXX magnet. It is proven that in the thermodynamic limit roots of the deformed equations group into strings. It is proven that the corresponding Yang’s action is convex, which implies uniqueness of solution for centers of the strings. The state formed of strings of length (2n+1) is considered and the density of their distribution is found. It is shown that the energy of such a state decreases as n grows. It is observed that non–analyticity of the left hand side of the Bethe equations leads to an additional contribution to the density and energy of strings of even length. Whence it is concluded that the structure of the anti–ferromagnetic vacuum is determined by the behaviour of exponential corrections to string solutions in the thermodynamic limit and possibly involves strings of length 2.
Predicting Of Tomatoes Disease in Smart Farming Using IoT and AI

As we all Know that agriculture region, one of the principal problems in Crop life and its illnesses. Crop illnesses can be resulting from different factors that encompass viruses, microorganisms, fungus, and so on. Most of the farmers are ignorant of such illnesses. That’s why the detection of several illnesses of vegetation may be very essential to prevent the damages that it may make to the crop itself further to the farmers and the whole agriculture atmosphere. Regarding these realistic problems, this research aimed to classify and hit upon the crop’s diseases routinely in particular for the tomato plants. Most promising sensor types are thermography, chlorophyll fluorescence and hyperspectral sensors. So this sensor is used to detect the disease in plants. IoT smart farming answers are a tool that is built for tracking the crop discipline with the assist of sensors (mild, humidity, temperature, soil moisture, crop fitness, and so on.) and automating the irrigation system. To educate on CNN architecture and developing a device studying model that can expect the form of illnesses, picture records is from the authenticated online source. Because the end result, few illnesses that usually arise in tomato vegetation1 8which include late blight (education 100, test 21), gray spot (training 95, test 18), and bacterial canker (schooling 90, take a look at 21) are detected. This paper affords an outline of various category strategies used for plant leaf disorder class.
Effect of vitamin D on infection and inflammation in patients with cystic fibrosis: a systematic review and meta-analysis

Background Cystic fibrosis (CF) is a genetic disorder in which the respiratory system gets clogged with mucus leads to progressive lung damage. There is no known cure for CF but several treatments to manage symptoms and reduce complications. Vitamin D deficiency is common in CF associated with increased infection and inflammation. This systematic review and meta analysis will evaluate the effectiveness of vitamin D treatment in reducing respiratory tract infection and inflammation in patients with CF. Methods Randomized and quasi randomised studies in CF patients with control groups will be identified. The antibacterial activity of vitamin D supplementation will help in reducing respiratory tract infection and inflammation in CF. Overall effects of vitamin D in terms of infection and inflammatory markers such as C reactive protein, inflammatory cytokine interleukin (IL)6, IL8, IL17, IL23, antimicrobial peptide (LL37), lung function defined by forced expiratory volume in 1 second (FEV1)%, other assessed respiratory parameters will be calculated using random-effect models. Study quality will be assessed using RoB 2, A revised Cochrane Risk of Bias tool for randomised trials. The overall quality of evidence for each outcome will be summarised according to the Grading of Recommendations Assessment, Development, and Evaluations (GRADE) framework.
Pharmacokinetics and pharmacodynamics of rocuronium in young adult and elderly patients undergoing elective surgery

Objective To evaluate the impact of advanced age on rocuronium kinetic disposition in ASA I–III patients undergoing elective surgeries. Methods Young adult (20–50 years, n = 15) and elderly patients (65–85 years, n = 14) submitted to surgery under general anaesthesia were investigated. All patients were induced with individual intravenous doses of midazolam, rocuronium, fentanyl and propofol. Rocuronium-induced neuromuscular block was monitored by train of four stimulations of the adductor muscle of the thumb on the ulnar nerve. The pharmacokinetic parameters were calculated by non-compartmental analysis. The relationship between rocuronium plasma concentration and the neuromuscular blockade was described by a sigmoidal Emax model. Key-findings Elderly patients presented decreased Cl (2.1 ml/kg per min vs 2.8 ml/kg per min; P = 0.0123); increased AUC/dose (507.8 lg min/ml (mg/kg) vs 392.2 lg min/ml/(mg/kg); P = 0.0168) and reduced volume of distribution (285.4 ml/kg vs 435.6 ml/kg, P = 0.0434) compared to young adults. The concentrations required to achieve 50% of maximum neuromuscular block (EC50) were similar for young adult (338.8 ng/ml) and elderly (462.7 ng/ml) patients (P > 0.05). Conclusions Elderly patients showed increased AUC/D and reduced total Cl compared to young adult patients due to the age-related reduced renal function. Differences in the PK-PD properties of rocuronium in elderly population are due to changes in drug disposition rather than to alterations in the sensitivity to the drug.
COVID-19 vaccination status is associated with physical activity in German-speaking countries: the COR-PHYS-Q cohort study

Background: To examine the association between COVID-19 vaccination status and physical activity (PA), sporting behavior, as well as barriers to PA in adults in Switzerland, Germany, and Austria. Methods: A total of 1516 adults provided complete responses to our online questionnaire sent out in August 2021. Information about self-reported PA categories, sporting behavior, barriers to PA, and COVID-19 vaccination status were gathered. Main analyses were done using multiple linear regression adjusted for relevant parameters. Results: We found a significant association of vaccination status with total PA (p = .011), vigorous PA (p = .015), and moderate PA (p = .001) but not transport-related PA or sedentary time. Unvaccinated adults tended to have more total and vigorous PA than those vaccinated once (ratios of geometric means: 1.34 and 1.60, respectively) or twice (1.22 and 1.09, respectively). Yet, not sufficient evidence was available to confirm this. There was no between-group difference in the contribution of leisure time, work-related, or transport-related PA to total PA. Vaccination status was not associated with sporting behavior except for jogging as the primary intensive type of sports. Finally, there were no significant differences in any of the COVID-19 specific barriers to PA between groups. Conclusion: Our data showed that vaccination status is associated with PA even in summer, where the number of COVID-19 cases was low and the severity of safety measures was mild. These findings may enhance future research and improve/extend COVID-19-specific PA guidelines.
Application of vibration to the soles reduces minimum toe clearance variability during walking

Minimum toe clearance (MTC) is an important indicator of the risk of tripping. Aging and neuromuscular diseases often decrease MTC height and increase its variability, leading to a higher risk of tripping. Previous studies have developed visual feedback-based gait training systems to modify MTC. However, these systems are bulky and expensive, and the effects of the training continue only for a short time. We paid attention to the efficacy of vibration in decreasing the variability of gait parameters, and hypothesized that proper vibration applied to soles can reduce the MTC variability. Using shoes embedded with active vibrating insoles, we assessed the efficacy of both sub- and supra-threshold vibration in affecting MTC distribution. Experiment results with 17 young and healthy adults showed that vibration applied throughout the walking task with constant intensity of 130% of sensory threshold significantly decreased MTC variability, whereas sub-threshold vibration yielded no significant effect. These results demonstrate that a properly designed tactile sensory input which is controlled and delivered by a simple wearable device, the active insole, can reduce the MTC variability during walking.
The effect of light conditions on the content of selected active ingredients in anatomical parts of the oyster mushroom (Pleurotus ostreatus L.)

This study aimed to evaluate the effect of cultivation conditions in the context of light on the retention of selected vitamins, minerals and polyphenols in the stem and cap of the oyster mushroom (Pleurotus ostreatus L.). Additionally, the effect of the retention of bioactive components on the antioxidant activity of mushroom extracts was evaluated, taking into account the morphological part. Oyster mushrooms grown in the light of 200 lux had higher riboflavin content compared to mushrooms exposed to the light of lower intensity. The thiamine content of the mushrooms dropped with decreasing light intensity during cultivation. The content of biologically active compounds was found to be equal in the stem and the cap. In the case of riboflavin, it was shown that its contents in cap fractions, irrespective of the cultivation method, was statistically significantly higher than in stems. The mineral composition of caps and stems differed from each other. No differences in Zn and Cu content between the morphological parts of the mushroom studied were found. However, it was shown that the stems, regardless of the type of light, contained less iron, magnesium and sodium. Thus, it was observed that limited light exposure caused an increase in the content of total polyphenolic compounds, which did not correlate with antioxidant activity. There was no effect of the light on the antioxidant activity of mushrooms. It was also shown that stem extracts had higher antioxidant activity compared to the extracts obtained from the caps. This findings point to the possibility and potentail of use both fraction of mushrooms in the new food products development.
Social changes through the lens of language: A big data study of Chinese modal verbs

Leech’s corpus-based comparison of English modal verbs from 1961 to 1992 showed the steep decline of all modal verbs together, which he ascribed to continuing changes towards a more equal and less authority-driven society. This study inspired many diachronic and synchronic studies, mostly on English modal verbs and largely assuming the correlation between the use of modal verbs and power relations. Yet, there are continuing debates on sampling design and the choices of corpora. In addition, this hypothesis has not been attested in any other language with comparable corpus size or examined with longitudinal studies. This study tracks the use of Chinese modal verbs from 1901 to 2009, covering the historical events of the New Culture Movement, the establishment of the PRC, the implementation of simplified characters and the completion and finalization of simplification of the Chinese writing system. We found that the usage of modal verbs did rise and fall during the last century, and for more complex reasons. We also demonstrated that our longitudinal end-to-end approach produces convincing analysis on English modal verbs that reconciles conflicting results in the literature adopting Leech’s point-to-point approach.
The impact of single-nucleotide polymorphisms on liver stiffness and controlled attenuation parameter in patients treated with direct-acting antiviral drugs for hepatitis C infection

Single-nucleotide polymorphisms (SNPs) of patatin-like phospholipase domain-containing 3 (PNPLA3), tolloid-like protein 1 (TLL1) and interleukin-28 (IL28) have been identified as susceptibility factors for liver steatosis, inflammation and fibrosis in patients with hepatitis C virus (HCV) infection. Here, whether these polymorphisms affected predispositions to changes in liver stiffness (LS) and controlled attenuation parameter (CAP) following direct-acting antiviral (DAA) therapy was assessed. The changes in LS and steatosis in 77 HCV-infected patients receiving DAA therapy were compared with PNPLA3, TLL1 and IL28 genotypes, using CAP, FibroScan and Virtual Touch tissue quantification (VTTQ) before treatment and 12 weeks after the end of the treatment. VTTQ results showed that LS significantly decreased in PNPLA3 CC (P=0.035), TLL1 AA (P=0.011) and IL28B TT (P=0.005) genotypes; no significant differences were observed in PNPLA3 CG/GG, TLL1 AT/TT and IL28B TG/GG. FibroScan results showed that LS significantly decreased in TLL1 AA (P=0.028) and IL28B TT (P=0.032), with no significant difference in PNPLA3 CC. No significant differences were observed in PNPLA3 CG/GG, TLL1 AT/TT and IL28B TG/GG groups. CAP was significantly increased in PNPLA3 CG/GG (P=0.039 and P<0.05) and IL28B TT (P=0.014); no significant difference was observed in PNPLA3 CC and all genotypes of TLL1 and IL28B TG/GG. Therefore, these results indicated that SNPs could predict changes in LS and steatosis after DAA therapy.
Ectopic uterus? A rare presentation of a giant leiomyoma in the posterior mediastinum

Abstract Leiomyomas are benign mesenchymal tumors derived from smooth muscles. Uterus is the commonest site of origin for leiomyomas; however, unusual growth patterns and locations have been reported posing diagnostic challenges, clinically and radiologically. Histological diagnosis remains the gold standard of diagnosis. Here, we present a 17-year-old female with a 3-month history of chest pain, cough, difficulty in breathing and chest tightness. Chest CT scan showed a 12.3 cm × 14.4 cm × 22.8 cm mass occupying the entire left posterior hemithorax. The patient underwent thoracotomy and recovered well after surgery. Histopathology of the excised specimen confirmed it to be leiomyoma. Despite its rarity, primary mediastinal leiomyoma should be considered in the differential diagnosis of an unexplained mediastinal mass. Its accurate pre-operative diagnosis is difficult. Respiratory compromise and risk of transformation to sarcoma mandate complete surgical resection for a definitive diagnosis and good prognosis.
Characterization of the complete mitochondrial genome of Aspergillus terricola (Aspergillaceae, Eurotiales), isolated from soy sauce fermentation system

Abstract In the present study, the complete mitochondrial genome of Aspergillus terricola É. J. Marchal 1893 was sequenced and assembled. The mitochondrial genome of A. terricola was composed of circular DNA molecules, with a total size of 28,689 bp. The GC content of the A. terricola mitochondrial genome was 26.34%. A total of 18 protein-coding genes (PCGs), 2 ribosomal RNA (rRNA) genes, and 26 transfer RNA (tRNA) genes were detected in the A. terricola mitochondrial genome. Phylogenetic analysis based on the combined mitochondrial gene dataset indicated that the A. terricola exhibited a close relationship with A. parasiticus.
Correlations between body postures and musculoskeletal pain in guitar players

Background The guitar-playing community is the largest group at risk of developing playing related musculoskeletal disorders. A thorough investigation of the relationships between the various risk factors and players’ report on musculoskeletal pain using objective and accurate means of assessment has yet to be reported. Purpose (a) to explore the correlations between demographic characteristics, anthropometric measurements, playing habits, and personal habits of guitar player and their complaints of musculoskeletal pain, (b) explore the correlations between the upper body kinematics of guitar players during playing the guitar and their complaints of musculoskeletal pain, and (c) compare the upper body kinematics of guitar players during playing the guitar while sitting versus standing. Methods Twenty-five guitar players (27.5±4.6 years old) filled out questionnaires regarding their guitar-playing habits, and the Standardized Nordic Questionnaires for the analysis of musculoskeletal symptoms. Kinematics of their torso and upper limbs were tracked while they played a tune twice, once while sitting and once while standing. Results We found moderate correlations between the number of painful joints in the last year and factors, such as physical comfort while playing, years of playing, and position during playing. During standing, lower back pain severity correlated with the rotation range of the torso, while during sitting, it moderately correlated with the average radial-ulnar deviation of the right wrist. During sitting, we found higher anterior and right tilt of the torso, combined with greater abduction of the right shoulder, higher flexion in the left shoulder and higher radial deviation in the left wrist. Conclusion Our results point to several risk factors, related both to playing habits but also to playing posture, which should be considered by the guitar players in order to prevent playing-related musculoskeletal disorders.