Značajke višestrukih falangealnih ozljeda uočene magnetskom rezonancijom (MR) u konja za vuču - prikaz slučaja

Magnetic resonance imaging (MRI) is fast becoming the gold standard diagnostic tool for lameness in equines. This case report describes the MRI features of multiple phalangeal disorders in a 9-year-old horse with chronic unilateral forelimb lameness due to severe trauma. A complete case history was taken, and a thorough clinical examination, radiography, ultrasonography and MRI were performed. Radiography and ultrasonography showed limited value. MRI revealed edema of the navicular bursa (NB), distal sesamoidean impar desmitis, DDFT injury at navicular and post-navicular levels, cartilage erosion of the pastern and coffin joints, medial collateral desmitis of the fetlock joint, medial collateral sesamoidean desmitis, and lateral collateral desmitis of the coffin joint. In conclusion, severe trauma may induce multiple phalangeal disorders with severe pain in draft horses, and MRI is superior to other diagnostic imaging modalities, such as radiography and ultrasonography, for diagnosing such cases.Magnetska rezonancija (MR) ubrzano postaje zlatni standard u dijagnostici hromosti u konja. U ovom se radu opisuju značajke MR-a u dijagnostici višestrukih falangealnih ozljeda u devetogodišnjeg konja s kroničnom unilateralnom hromošću prednjih ekstremiteta uzrokovanom teškom traumom. Provedena je detaljna anamneza, temeljiti klinički pregled, rendgenska pretraga, ultrazvučna i MR pretraga. Rendgenska i ultrazvučna pretraga pokazale su ograničenu vrijednost. MR je otkrio edem navikularne burze (NB), distalni sezamoidni dezmitis, DDFT ozljedu na navikularnoj i postnavikularnoj razini, eroziju hrskavice putičnih i kopitnih zglobova, medijalni kolateralni dezmitis skočnog zgloba, medijalni kolateralni sezamoidni dezmitis i lateralni kolateralni dezmitis kopitnog zgloba. Zaključeno je da teška trauma može uzrokovati višestruke falangealne ozljede s jakom boli u konja za vuču, a MR je superioran ostalim metodama slikovne dijagnostike kao što su rendgenska i ultrazvučna pretraga u dijagnostici ovakvih slučajeva

Analyzing and evaluating the energy efficiency based on multi-5G small cells with a mm-waves in the next generation cellular networks

This paper evaluates the impact of multi-5G small cell systems on the energy efficiency (EE) in a Fifth Generation (5G) of cellular networks. Both the proposed model and the analysis of the EE in this study take into account (i) the path losses, fading, and shadowing that affect the received signal at the user equipment (UE) within the same cell, and (ii) the interference effects of adjacent cells. In addition, the concepts of new technologies such as large MIMO in millimeter range communication have also been considered. The simulation results show that the interference from adjacent cells can degrade the EE of a multi-cell cellular network. With the high interference the number of bits that will be transferred per joule of energy is 1.29 Mb/J with a 0.25 GHz bandwidth and 16 transmit antennas. While, with a 1 GHz bandwidth the transfer rate increases to 5.17 Mb/J. Whereas, with 64 transmit antennas the EE improved to 5.17 Mb/J with a 0.25 GHz BW and 20.70 Mb/J with a 1 GHz BW. These results provide insight into the impact of the number of antennas in millimeter range communication and the interference from adjacent cells on achieving real gains in the EE of multi-5G small cells cellular network

Machine Learning Algorithms for Smart Data Analysis in Internet of Things Environment: Taxonomies and Research Trends

Machine learning techniques will contribution towards making Internet of Things (IoT) symmetric applications among the most significant sources of new data in the future. In this context, network systems are endowed with the capacity to access varieties of experimental symmetric data across a plethora of network devices, study the data information, obtain knowledge, and make informed decisions based on the dataset at its disposal. This study is limited to supervised and unsupervised machine learning (ML) techniques, regarded as the bedrock of the IoT smart data analysis. This study includes reviews and discussions of substantial issues related to supervised and unsupervised machine learning techniques, highlighting the advantages and limitations of each algorithm, and discusses the research trends and recommendations for further study

Fed-batch Cultivation of Pseudomonas Aeruginosa USM-AR2 Producing Rhamnolipid in Bioreactor through Pulse Feeding Strategy

Pseudomonas aeruginosa USM-AR2 culture was proven to produce a glycolipid type biosurfactant, rhamnolipid. Fed-batch cultivation of P. aeruginosa USM-AR2 with different feeding strategies was carried out in bioreactor to increase the rhamnolipid production and productivity. The quantification of cell biomass, rhamnolipid produced and rhamnolipid activity were determined using absorbance measurement, orcinol assay and surface tension measurement. Batch cultivation in bioreactor gave a biomass of 9.4 g L-1 and rhamnolipid of 2.35 g L-1 in 72 hours. Fed-batch cultivation with pulse feeding strategy using diesel as carbon substrate was carried out at different feeding time interval. The best feeding mode was recorded to be 12 h-feeding interval which resulted in 12.6 g L-1 of biomass and 3.13 g L-1 of rhamnolipid achieved in shorter time, 48 hours cultivation. Higher productivity was achieved by gradually feeding the carbon source while maintaining the optimal culture conditions, which was 0.065 g L-1 h-1 compared to batch culture, 0.033 g L-1 h-1.The highest biomass and rhamnolipid production, 24.1 g L-1 and 13.4 g L-1, respectively was obtained when multiple substrates were fed (diesel and yeast extract). However the productivity was lower, 0.054 g L-1 h-1 due to the extension of working time

Prevalence of Helicobacter pylori infection among children with primary nephrotic syndrome: a cross-sectional study

Background: Limited data are available about the prevalence of helicobacter pylori (H.pylori) infection among primary NS children. Objectives: To assess the frequency and risk factors of H.pylori infection among children with primary NS. Methods: A cross-sectional study was carried out in Mansoura University Children\u2019s Hospital, Egypt during the period from 2017 to 2019 including 100 NS children (NS group) and 100 healthy controls. NS group included 88 steroid sensitive (SSNS) and 12 steroid resistant (SRNS) cases. All patients were assessed for H.pylori infection using H.pylori stool antigen (HpSA) test. Statistical analysis was done using chi-square, fisher exact and Mann-Whitney tests. Results: With regard to HpSA test results, no significant differences were detected between control and NS groups (p = 0.193) and between SSNS and SRNS groups (p = 0.286). Concerning total biopsied cases and MCD (proven plus presumed) cases, no significant differences were found between those with positive and negative HpSA test (p = 0.648 and 0.126, respectively). The high dose of steroid therapy was associated with a higher risk of H.pylori infection among NS group (Odds ratio = 3.8; 95% confidence interval = 1.3-11.3). Conclusion: The current study negates the increased risk of H.pylori infection in children with primary NS

Heteroaromatization with 4-phenyldiazenyl-1-naphthol. Part II: Synthesis of some new benzochromens, benzochromenopyrimidines, benzochromenotriazolopyrimidines, benzochromenopyrimidotriazepine and antimicrobial activities

Synthesis of several new of benzochromenes (4-7), benzochromenopyrimidines (8 and 9), 14-(4-chlorophenyl)-12-(phenyldiazenyl)-14H-benzo[7,8]chromeno[3,2-e][1, 2, 4]triazolo[1, 5-c]pyrimidines, 4-amino-16-(4-chlorophenyl)-14-(phenyldiazenyl)-16H-benzo[7', 8']chro-meno[2',3':4,5]pyrimido[1,6-b][1,2,4]triazepine-3-carbonitrile (10a-e, 13) and 9-(benz-ylideneamino)-7-(4-chlorophenyl)-5-(phenyldiazenyl)-7, 9-dihydro-8H-benzo[7,8]chromeno [2,3-d]pyrimidin-8-imine (12), form starting from 2-amino-4-(p-chlorophenyl)-6-phenyl-diazenyl-4H-benzochromene-3-carbonitrile (3). The structure of these new compounds was confirmed using IR, 1H NMR and 13C NMR as well as MS spectroscopy. The structure activity relationship studies of the target compounds in agreement with the in vitro essays and confirmed higher potent antimicrobial activity against some of the tested microorganisms. The structure-activity relationship study revealed that the antimicrobial activity of benzochromenopyrimido triazepine nucleus was more beneficial than benzochromeno-triazolopyrimidine nucleus for antimicrobial activity

Backpropagation Neural Network Based on Local Search Strategy and Enhanced Multi-objective Evolutionary Algorithm for Breast Cancer Diagnosis

The role of intelligence techniques is becoming more significant in detecting and diagnosis of medical data. However, the performance of such methods is based on the algorithms or technique. In this paper, we develop an intelligent technique using multiobjective evolutionary method hybrid with a local search approach to enhance the backpropagation neural network. First, we enhance the famous multiobjective evolutionary algorithms, which is a non-dominated sorting genetic algorithm (NSGA-II). Then, we hybrid the enhanced algorithm with the local search strategy to ensures the acceleration of the convergence speed to the non-dominated front. In addition, such hybridization get the solutions achieved are well spread over it. As a result of using a local search method the quality of the Pareto optimal solutions are increased and all individuals in the population are enhanced. The key notion of the proposed algorithm was to  show a new technique to settle automaticly artificial neural network design problem. The empirical results generated by the proposed intelligent technique evaluated by applying to the breast cancer dataset and emphasize the capability of the proposed algorithm to improve the results. The network size and accuracy results of the proposed method are better than the previous methods. Therefore, the method is then capable of finding a proper number of hidden neurons and error rates of the BP algorithm

Khazanah Food Enterprise / Ahmad Sayuti Yahya Muhammad… [et al.]

Khazanah Food Industry is the new business entity that formed under the Partnership agreement. The company have been registered in 5th january 2010 with the purpose to introduce and popularized the Malaysian traditional food in the different form that can suit everyone's preference nowadays, and at the same time earning the business profits. Our company will operate the business officially in 5th October 2010. Faced with fast-paced modern life, consumers will continue to seek convenience and simplicity. The demand for the ready-to-eat form food nowadays become increase as the people nowadays tend to buy the product that doesn't provide them complexity, especially for food product. The demand for the junk food is increasing nowadays especially for children and teenagers. But there's an issues that relates the junk food that can effects someone's health as the junk food perceived to have little or no nutritional value, or to products with nutritional value but which also have ingredients considered unhealthy when regularly eaten, or to those considered unhealthy to consume at all. Apart from this issues, we found that this is the opportunity to sell the healthy food in form of snack, that usually represented by the junk food. The existence of our product in the market can give the alternatives to the consumer when it comes to the selection of helthy and delicious snack. Our company is located at bandar Baru perda, Pulau Pinang. We chose Bandar Perda because there is less competitor that will compete will our company in selling the product to the customer. Apart from that, the location is located at the urban area, where the potential buyer will always surround the place. The supplier for the rawa materal situated near to our business location thus reducing the cost on dealing with the process to obtain the raw materials. Other than that, our company also situated near to the distribution area which turn our business' location into the strategic place to produce our product at maximum effort. With the goal to become the well- known brand that become a leader in the snack producing industry, we are striving to satisfied the customer's needs and wants by producing the good quality product that consistent with it's value