Miracle-dz/UniFAR-FTUs huggingface dataset:
Aspiration Versus Incision and Drainage in the Treatment of Acute Suppurative Breast Abscess

Breast abscess is a common cause of morbidity in women. While they are less common in developed countries as a result of improved maternal hygiene, nutrition, standard of living and early administration of antibiotics, breast abscess remain a problem among women in developing countries. This thesis is aiming to show the efficacy of aspiration in the treatment of acute suppurative breast abscess in comparison with traditional methods of incision and drainage. This current study involved fifty patients who were complaining of acute suppurative breast abscesses attending the medical care in Benha University Hospital and Samanud General Hospital. The observation of our study shows that needle aspiration of the abscess with ultrasonographic guidance combined with antibiotics has a great value in the treatment of breast abscess even in abscess with large volume; although repeated aspiration are needed to obtain complete resolution, this therapy is a well-accepted alternative to surgical treatment. Aspiration of the breast abscess through a wide bore cannula is thus a feasible and easy procedure, but may require multiple aspirations for cure. It does not require any mode of anesthesia and can be done on out-patient department basis. Breast abscess in selected group of patients with diameter of less than 4 cm can be treated by aspiration successfully and with a good cosmetic outcome. Aspiration of the breast abscess can be successfully done as initial mode of management in the treatment, but incision and drainage remains the final resort for cure.
The impact of cleaning weights before calibration

This paper investigates the necessity of cleaning weights before calibration. The conflict between cleaning a weight and breaking the history by cleaning is analyzed. Experience from many hundreds of calibrations with measurements before and after cleaning is reported and analyzed. It is concluded, that weights should be cleaned in order to reach a stable state but should also be calibrated before and after cleaning to gain information about metrological traceability and thus the validity of the results that were produced with the weights.
Revisiting the Economics of Vocational Education: Estimating the Impact of Vocational Education on Labour Market Outcomes in Germany

This paper investigates the impact of vocational education on labour market outcomes in Germany. The hypothesis rests on the mechanism that educational attainment affects earnings potential, risk of unemployment, length of unemployment, and risk of termination by employer. Results are obtained based on a matching strategy and instrumental variable estimation exploiting the exogenous variation in German states’ budgets allocations towards vocational education. We find no effect on wages and negative and significant effects on risk of unemployment and length of unemployment. The results of this paper call for more inventive policy development, particularly in the domain of skill formation in early life.
Biocompatible and Antibacterial Nanofibrous Poly(ϵ-caprolactone)-Nanosilver Composite Scaffolds for Tissue Engineering Applications

Biodegradable polymers have been developed for medical applications such as surgical sutures, drug delivery devices, tissue supports and implants for interior bone fixation. However, implants are highly susceptible to microbial adhesion, which can ultimately lead to the formation of bio-films. The goal of the current study was to fabricate a biocompatible and antibacterial nanofibrous poly(ϵ-caprolactone) (PCL) scaffold for tissue engineering applications. To develop such a scaffold, silver nanoparticles synthesized by a novel in situ reduction route were incorporated into the PCL matrix during the process of electrospinning. The electrospun PCL and composite PCL/nanosilver fiber mats were characterized for their physico-chemical parameters using UV-VIS, SEM, XRD, FTIR and EDAX. Antibacterial activity of the composite scaffold was tested against Staphylococcus aureus using disc diffusion method and cytotoxicity evaluated using alamar blue assay. Cell adhesion studies carried out using human Mesenchymal Stem Cells (hMSCs) seeded on the scaffold containing the lowest concentration of silver nanoparticles (0.2 mM) revealed that Ag nanoparticles can be effectively used as a growth inhibitor of microorganisms, without compromising on the cell adhesion. Thus, nanosilver incorporated PCL fibrous scaffold can be a potential candidate for tissue engineering applications, possessing multifunctional properties.
Identification of Filamentous Microorganisms Causing Filamentous Bulking and Factors Affecting Their Growth in a Petrochemical Wastewater Treatment Plant

Bulking (sludge bulking) is caused by the excessive growth of filamentous or non-filamentous bacteria in the process of wastewater treatment, which subsequently results in a reduction in the quality of the output of wastewater treatment plant. By identifying the main cause of bulking bacteria, we can recognize its formation and find solutions to specific bulking control. The proliferation of Nocardiaforms and Beggiatoa are due to the presence of excess oil compounds and sulfur compounds in the input wastewater, respectively. In this study, the identification of bulking bacteria was carried out in a petrochemical wastewater treatment plant using microscopic methods. Identification of filamentous bacteria was realized by microscopic studying of slides, based on morphological characteristics and their reaction to different staining; therefore, Beggiatoa and Thiothrix identified as predominant filamentous bacteria. According to results characteristics of these bacteria and effective growth factors, the abundance of sulfur compounds, the sulfur content and subsequently the growth of these bacteria are increasing. Thus they are prevented for the specific bulking control in a Petrochemical wastewater treatment plant by removing sulfuric acid in the pH adjustment of the balancing pond and replacement of hydrochloric acid.
Duration Dependence in Unemployment: A Structural Approach∗

This paper builds a directed search model of the labor market to quantify the importance of three common explanations for why the job-finding rate strongly falls with unemployment duration: (i) unobserved worker heterogeneity, (ii) skill loss, and (iii) job-search effort decline. I utilize the properties of the model, together with data on reemployment wages and search effort, to identify the contribution of each mechanism to duration dependence. The model predicts a job-finding profile over the unemployment spell very close to US data, even though job-finding rates are not among the calibration targets. Counterfactual simulations lead to two novel results regarding the role of each mechanism for duration dependence: first, the bulk of the effect of unobserved heterogeneity is concentrated in the first six months of the unemployment spell; the drop in job-finding rates observed at longer spells is mostly a result of skill loss and lower search effort. Second, skill loss has a vastly greater impact on jobfinding than the decline in search effort. These results have two clear implications for labor market policy: (i) the impact of active labor market programs is expected to be larger for the long-term unemployed; (ii) job-training programs are expected to be more effective than job-search assistance policies at reducing long-term unemployment. ∗I am deeply grateful to Gary Hansen, Lee Ohanian, Till von Wachter and Pierre-Olivier Weill for invaluable advice and support. I am also indebted to Andy Atkeson, Carolina Arteaga, Pablo Fajgelbaum, Manolis Galenianos, Andreas Gulyas, Manolis Hatzikonstantinou, Adriana Llerras Muney, Christos Makridis, Musa Orak, Joe Ostroy, Manisha Padi, Liyan Shi, Chad Stecher, and most importantly Ben Smith and Richard Domurat, as well as seminar participants in the Macro Proseminar at UCLA, for many fruitful comments and discussions. I am solely responsible for any errors or omissions. †University of California, Los Angeles; email: ikospentaris@g.ucla. edu
Screening of Acute Kidney Injury in ICU Patients in Kafr-Elsheikh Governorate, Egypt

Intense kidney harm (AKI) is An significant worldwide wellbeing problem, which imposes An negative impact for tolerant horribleness What's more is answerable for an evaluated 1. 4 million passings for every year. The point about this fill in might have been will figure out prevalence, causes, diagnosis, complications, necessity on dialysis alternately not, oversaw economy Furthermore prognosis for AKI clinched alongside Kafr Elsheikh Governorate doctor's facilities. Those consider incorporated 250 patients admitted in seriousness (ICU) On Kafr Elsheikh governorate doctor's facilities over six months. Patients were subjected for; full historical backdrop taking , physical examination Also research center examination Similarly as serum creatinine, pee Investigation for hematuria , pyuria , casts , cbc to anele , serum na , k , CRP, RBS , liver capacity tests , ABG. Comes about Also conclusion: the examine included 250 patients, imply agdistis 49. 7 ± 7. 2. Those contemplate incorporated 132(52. 8%) male instances What's more 118(47. 2%) female situations. Hypertension might have been introduce over 34 % about patients, same time CHD might have been display for 12. 8 %. Dm Furthermore Ceaseless liver infection were also available Anyhow during more level rates. Sepsis might have been the commonest precipitating variable to AKI clinched alongside these patients (61. 2%) accompanied Eventually Tom's perusing drying out (53. 6 %). Oliguria might have been An presentation manifestation in 45. 6% about patients, irresistible side effects were exhibit to 45. 6 %. Likewise view mortality, (12. 8%) from claiming patients passed on Throughout their confirmation. Finish renal recuperation might have been the The majority regular result from claiming AKI patients over our study (53. 2%).
Stimulation of follicle growth and development during estrus in Ettawa Grade does fed a flushing supplement of different polyunsaturated fatty acids

Background and Aim: Flushing with the manipulation of fatty acids, particularly polyunsaturated fatty acids, like linoleic and α-linolenic acids in the ration, is a strategy to raise the nutritional status of the female mammals to improve ovarian function and follicle development. This study was designed to investigate the effectiveness of flushing supplementation with different types of polyunsaturated and saturated fatty acids in stimulating follicle growth and development during estrus in Ettawa Grade does with a low initial body condition score (BCS ≤2). Materials and Methods: Eighteen Ettawa Grade does in the second parity, with an average body weight of 32.11±2.19 kg, were divided into three groups according to the fatty acid supplemented to their ration: (i) About 2.8% lauric acid flushing (group); (ii) 2.8% linoleic acid flushing (LA group); and (iii) 2.8% α-linolenic acid flushing (ALA group). The ration was formulated to be isocaloric (total digestible nutrient = 77%) and isonitrogenous (crude protein = 15%). The experiment was conducted for 35 days; that is, 14 days for acclimatization and synchronization of the estrous cycle and 21 days for fatty acid flushing until the appearance of the next estrus. A completely randomized design was applied. Results: According to the results, none of the different fatty acids in the ration affected the nutrient intakes, BCSs, average daily gains, and plasma glucose, cholesterol, and progesterone concentrations of the three groups of does. However, the BCSs (by 0.8-0.9) and the plasma cholesterol concentrations were higher after fatty acid flushing for 21 days than before the flushing period. The ALA group had the highest number of large-sized preovulatory follicles, whereas the LAURIC group had the highest plasma estradiol concentration during estrus. All three groups had similar plasma progesterone concentrations during estrus after fatty acid flushing. Conclusion: Flushing supplementation with 2.8% ALA from flaxseed oil gave the best results in terms of stimulating the highest number of large-sized preovulatory follicles in Ettawa Grade does.
The Effectiveness of Hypertext Annotations on Learners' Vocabulary Learning: A Meta-analysis

Background and Objectives: As more various types of Computer Assisted Language Learning (CALL) programs have been incorporated into language classrooms over the past five decades, it has become more important to find a clear answer to questions such as to what extent, and under which moderator variables CALL programs can yield more effective outcomes as compared to traditional language instruction. The present meta-analysis is a comprehensive investigation to determine the extent of the effectiveness of hypertext annotations on the learners' vocabulary learning. Moreover, the study aimed at identifying the moderator variables that influence the heterogeneity of the effect of various studies. Methods: The statistical population of the present study consisted of all the studies conducted in the past related to the effectiveness of hypertext annotations on learners' vocabulary learning. To this aim, an exhaustive research of the multiple electronic databases was carried out in order to identify all the studies examining the relative effectiveness of CALL on enhancing learners' vocabulary learning The main criterion for selecting the studies to be analyzed in the present research was their publication in journals or proceedings of conferences during the period between 1950 to 2014. Concurrently, the experts in this area were also consulted for articles that had not been identified in the primary search. Eventually, the search process resulted in the identification of 132 articles of potential relevance to the present meta-analysis. In the next stage, all studies were investigated more carefully and examined based on the checklist which was the criterion for the final selection of those studies that should be included in the present meta-analysis. Finally, a total sample of 36 studies met the required criteria and selected for the final analysis. Data analysis was performed using Comprehensive Meta-analysis Software (Version 2)
Tell us how you can be, and we’ll make you better: exploiting genetic variability in personality traits to improve top-down control of agricultural pests

Silène Lartigue, Myriam Yalaoui, Jean Belliard, Claire Caravel, Louise Jeandroz, Géraldine Groussier, Vincent Calcagno, Philippe Louâpre, François-Xavier DechaumeMoncharmont, Thibaut Malausa and Jérôme Moreau. Consistent variations in personality traits and their potential for genetic improvement of biocontrol agents: Trichogramma evanescens as a case study (2020), bioRxiv, 2020.08. 21.257881, ver. 4 peer-reviewed and recommended by Peer Community in Ecology. 10.1101/2020.08. 21.257881
Transparency in managerial practices and affective commitment

The objective of this study was to investigate the relationship between employees’ perception of transparency in management and their affective commitment by focusing on four dimensions of management transparency: openness, accountability, integrity and participation. Two independent surveys type studies were conducted to establish the validity of the instrument developed for the purpose, and to empirically examine the hypothesized relationship using 850 randomly selected teachers in Northern Province. Findings revealed that the relationship between employees’ perception of transparency and affective commitment was significantly and strongly correlated. It was also identified that the components of transparency such as openness, accountability integrity and participation explain the variations in affective commitment. The study recommended that a comprehensive strategy needs to be designed to enhance the level of managerial transparency among the Education Authorities.
MRI Brain Image Segmentation using Machine Learning Techniques

---------------------------------------------------------------------- Abstract – Magnetic Resonance Imaging (MRI) has been widely used in medical field now a days. Its non-invasive and good soft tissue contrast makes it useful for detecting abnormal tissues like tumors or lesions. Due to the recent advancement in machine learning, various methods have been proposed to improve MRI image processing and analysis. Medical interpretation by human expert is always prone to errors and may vary according to individual. Image segmentation is an important step that helps in image interpretation. In this paper, we are presenting five machine learning methods for image segmentation. Analysis is done based on comparison with a ground image.
Power Efficient Time-Division Random-Access Model Based in Wireless Communication Networks

The conventional infrastructure for mobile-communication is used for providing internet-of-things (IoT) services by the third-generation partnership project (3GPP) with the help of the recently developed cellular internet-of-things (CIoT) scheme. Random-access procedure can be used for connecting the large number of IoT devices using the CIoT systems. This process is advantages as the huge devices are accessed in a concurrent manner. When random access procedures are used simultaneously on a massive number of devices, the probability of congestion is high. This can be controlled to a certain extent through the time division scheme. A power efficient time-division random access model is developed in this paper to offer reliable coverage enhancement (CE) based on the coverage levels (CL). The quality of radio-channel is used for categorization of the CIoT devices after assigning them with CLs. The performance of random-access model can be improved and the instantaneous contention is relaxed greatly by distributing the loads based on their coverage levels into different time periods. Markov chain is used for mathematical analysis of the behavior and state of the devices. The probability of blocking access, success rate and collision control are enhanced by a significant level using this model in comparison to the conventional schemes.
Inner Knuckle Print Identification Using Artificial Neural Network

A inner knuckle print identification system has been designed and developed. This work presents a new approach to authenticate people according to their finger textures. This proposed method consists of three stages. They are preprocessing, feature extraction and matching. In the first stage, noise is suppressed using an image filtering. In the second stage, features are extracted by local line binary pattern. Artificial neural network and support vector machine are used to provide an efficient matching algorithm for inner knuckle print authentication. After matching, the algorithm returns the best match for the given fingerprint parameters. The use of inner knuckle print in biometric identification has been the most widely used authentication system. A classification with an accuracy of 89% and 97% has been obtained by support vector machine and artificial neural network classifier.
Tracking and Controlling High-Speed Vehicles Via CQI in LTE-A Systems

One of the most serious problems facing the community around the world is car accidents. These accidents occur mainly due to the high-speed of vehicles. Thus, the paper aims to capture, track, and control high-speed vehicles using LTE-A mobile networks to avoid high-speed situations as well as decrease the number of accidents. The paper assumes that all vehicle drivers are now days carrying their mobiles that can be considered as mobile network user equipment (UE). This paper presents an innovative tracking and controlling high-speed vehicles in the LTE-A system that taking the advantages of Channel Quality Indicator (CQI) value mapped to the UE speed. The method can be accomplished by uploading the CQI index to the base station (BS), at the uplink, then the evolved node base station (eNB) sends an extra warning message at the downlink to initiate the radio frequency identifier (RFID) component fixed on the vehicle. The proposed scheme design assumes that the LTE networks have the all traffic speed for the covered area and to be activated when the speed is beyond the maximum speed. In that case, the RFID is activated and an alarm is switched on. Under now response, the RFID will activate the vehicle's traction control (TC), Engine Control Unit (ECU) and automatic brake system (ABS) to decrease the speed gradually. The proposed scheme was simulated using the system level-simulator (SLS) and the performance is depicted. The evaluations show that the CQI values are decreased meaningfully to 2 when the UE movement in the high-way increases to 150 km/h. Consequently, with the obtainability of CQI values at the LTE-A system, an immediate activity is completed to control the vehicle speed and warn the driver.
Light-induced cis/trans isomerization of cis-[Pd(L-S,O)2] and cis-[Pt(L-S,O)2] complexes of chelating N,N-dialkyl-N′-acylthioureas: key to the formation and isolation of trans isomers

Irradiation cis-[M(Ln-S,O)2] complexes (M = PtII, PdII) derived from N,N-dialkyl-N′-benzoylthioureas (HLn) with various sources of intense visible polychromatic or monochromatic light with λ < 500 nm leads to light-induced cis → trans isomerization in organic solvents. In all cases, white light derived from several sources or monochromatic blue-violet laser 405 nm light, efficiently results in substantial amounts of the trans isomer appearing in solution, as shown by 1H NMR and/or reversed-phase HPLC separation in dilute solutions at room temperature. The extent and relative rates of cis/trans isomerization induced by in situ laser light (λ = 405 nm) of cis-[Pd(L2-S,O)2] was directly monitored by 1H NMR and 195Pt NMR spectroscopy of selected cis-[Pt(L-S,O)2] compounds in chloroform-d; both with and without light irradiation allows the δ(195Pt) chemical shifts cis/trans isomer pairs to be recorded. The cis/trans isomers appear to be in a photo-thermal equilibrium between the thermodynamically favored cis isomer and its trans counterpart. In the dark, the trans isomer reverts back to the cis complex in what is probably a thermal process. The light-induced cis/trans process is the key to preparing and isolating the rare trans complexes which cannot be prepared by conventional synthesis as confirmed by the first example of trans-[Pd(L-S,O)2] characterized by single-crystal X-ray diffraction, deliberately prepared after photo-induced isomerization in acetonitrile solution. Graphical Abstract The dominantly formed cis-[M(L-S,O)2] (M = PtII or PdII) complexes from N,N-dialkyl-N′-acyl-thioureas in solution undergo a facile cis → trans isomerization on irradiation with visible light at room temperature, allowing the predictable formation and isolation of the elusive trans-[Pd(L-S,O)2] complexes.