Miracle-dz/UniFAR-FTUs huggingface dataset:
PII: S1010-7940(01)00682-0

Objective: The aim of the study was to use the physiological and operative severity score for the enumeration of mortality and morbidity (POSSUM) to assess the performance of our thoracic surgery unit during two successive periods of activity. Methods: From 1992 through 1997, 801 candidates for thoracic procedures at our institution were considered for the study. After validation of the logistic regression model, including the POSSUM score, observed and POSSUM-predicted morbidities were compared within two groups of patients divided by year of operation (group 1: 1992±1994, n  362; group 2: 1995±1997, n  439) by means of the z-test for the comparison of a proportion with an expected value. Results: The POSSUM-predicted morbidity was signi®cantly lower than the observed one in the ®rst period of activity of our unit (19.6 vs. 24.3%, respectively; z-test for the comparison of a proportion with an expected value, 2.25; P  0:01), whereas no difference was found in the second period (20.5 vs. 19.1%, respectively; z-test for the comparison of a proportion with an expected value, 20.71; P  0:76). Conclusions: The result suggests a worse-than-expected performance of our unit in the ®rst period of activity, showing that POSSUM can be reliably applied as an instrument of internal comparative audit in a thoracic surgery unit. q 2001 Elsevier Science B.V. All rights reserved.
EMBRYOTOXICITY AND TERATOGENIC POTENTIAL OF CYPERMETHRIN AND DIAZINON INSECTICIDES ON JAPANESE QUAIL CHICK-EMBRYOS (

Laboratory experiments were conducted to evaluate the teratogenic potential and developmental toxicity of cypermethrin and diazinon pesticides in Japanese quail chick-embryos ( COTURNIX JAPONICA ). The effects of sublethal dosages (1/10, 1/50 and 1/100 LD 50 ) of tested pesticides on egg-weight and percent loss of egg weight during incubation were studied. It was quite clear that all treatments including the control showed positive increases in percentages loss of egg-weights throughout the incubation period. The effect of tested pesticides on egg-weight loss is not dose-dependent. On the other hand, cypermethrin, for instance, caused dose-dependent reductions in chick embryo weight representing 18.45, 35.56 and 49.87 % as compared to the control after being injected by 0.00075, 0.0015, and 0.0075 mg/egg, respectively. The same trend of results occurred with diazinon insecticide. The corresponding malformathion percentages were 20 and 38 % for cypermethrin and diazinon, respectively. In general the most pronounced malformations were body weight, wry neck, body size, growth retardation, abdominal hernia deformed legs and toes. The highest malformation was observed in diazinon-treatment followed by cypermethrin at the same concentration. The specific activity as well as the percent inhibition of acetylcholinesterase after 6, 9, 12 and 18 days of application are presented. It is quite clear that, cypermethrin and diazinon inhibit the activity of AChE by different ratios.
on TRPV4 channels by AKAP150-bound PKCα in arterial

vasoconstrictor angiotensin II (AngII). This modulation depends on the activation of subcellular signaling domains that comprise protein kinase C α (PKC α ) bound to the anchoring protein AKAP150. Here, we used super-resolution nanoscopy, patch-clamp electrophysiology, Ca 2+ imaging, and mathematical modeling approaches to test the hypothesis that AKAP150-dependent modulation of TRPV4 channels is critically dependent on the distance between these two proteins in the sarcolemma of arterial myocytes. Our data show that the distance between AKAP150 and TRPV4 channel clusters varies with sex and arterial bed. Consistent with our hypothesis, we further find that basal and AngII-induced TRPV4 channel activity decays exponentially as the distance between TRPV4 and AKAP150 increases. Our data suggest a maximum radius of action of ∼ 200 nm for local modulation of TRPV4 channels by AKAP150-associated PKC α . and in silico data suggest that in arterial smooth muscle, the radius of action of an activated PKC α is ∼ 200 nm. In male and female pial myocytes as well as male parenchymal myocytes, the level of expression of AKAP150/PKC α complexes is sufficiently high to locate many of these complexes within 200 nm of TRPV4 channels. Accord-ingly, TRPV4 activity in these cells is relatively high. In cells such as mesenteric myocytes, which express relatively low levels of AKAP150 and/or TRPV4, the density of these proteins in the sarcolemma is low. This results in an increase in the mean distance between AKAP150 and/or TRPV4 clusters. In cells (e.g., female parenchymal myocytes and male and female mesenteric myocytes) where the distance between these clusters is >200 nm, TRPV4 channel activity is undetectably low.
Research Online Research Online Managing ICT in healthcare organization: culture, challenges, and issues of Managing ICT in healthcare organization: culture, challenges, and issues of technology adoption and implementation technology adoption and implementation

The objective of this chapter is to illustrate a case study of a medical research institute in Malaysia in order to discuss issues pertaining to ICT adoption in healthcare organizations, in particular exploring the culture, challenges, and issues of ICT adoption among medical teams, patients, etc. In this chapter, we examine the question of ‘What are the challenges of implementing ICT in healthcare organizations? ’ Some of the lessons learned from the case study were: ICT was successfully adopted and implemented based on several factors such as supportive organizational culture, competent IT workers, committed IT department and heavy investment on ICT infrastructure. Yet challenges also arise which hinges upon factors like initial deployment of outside IT resources or expertise for ICT implementation, lack of user training and continuous communication between involved parties in the initial stage. oftentimes
Pseudomonasaeruginosa de¢cient in 8-oxodeoxyguanine repair system shows a high frequency of resistance to cipro£oxacin

The 8-oxodeoxyguanine (8-oxodG) repair system participates in the prevention and correction of mutations generated by oxidative DNA damage in prokaryotes and eukaryotes. In this study, we report that Pseudomonas aeruginosa strains deﬁcient in this repair mechanism by inactivation of the mutT , mutM and mutY genes generate a high frequency of cells resistant to the antibiotic ciproﬂoxacin. In the mutT strain, the increase in ciproﬂoxacin resistance achieved at threefold minimal inhibitory concentration was about 1600-fold over the wild-type (WT) level, similar to the frequency achieved by the mismatch repair-deﬁcient mutS strain. Molecular analysis of WT, mutT and mutY clones resistant to ciproﬂoxacin indicated that the nfxB gene was mutated in the majority of the cases, while mutS-derived resistant clones were mainly mutated in gyrA and parC genes. Cell viability analysis after treatment with paraquat or hydrogen peroxide indicated that 8-oxodG repair-deﬁcient strains were considerably more susceptible to oxidative stress than the parental strain. Finally, it is shown that the ciproﬂoxacin resistance frequency of WT and repair-deﬁcient strains increased signiﬁcantly after cell exposure to paraquat. Thus, oxidative stress is strongly implicated in the emergence of ciproﬂoxacin-resistant mutants in P. aeruginosa , and the 8-oxodG repair pathway plays an important role in the prevention of these mutations.
T HE E FFECTS OF COVID-19 Q UARANTINE ON O NLINE E XAM C HEATING : A T EST OF COVID-19 T HEORETICAL F RAMEWORK

This study aims to quantitatively test the newly developed theoretical framework model for the relationship between COVID-19, stress, anxiety, and university students' online exam cheating in the United States of America during COVID-19. The newly developed model primarily explains how COVID-19 quarantine influences university students' levels of anxiety and stress, and therefore, influences the frequency of online exam cheating behavior among college students. The researcher collected primary data of 251 male and female university students in the United States of America via Survey Monkey and tested the six hypotheses using the structural modeling equation technique. The study results confirm that COVID-19 quarantine has a significant relationship with stress and anxiety. The relationship between COVID-19 quarantine and stress is more significant than the relationship between COVID-19 quarantine and anxiety. The results also validate the significant and positive relationship between COVID-19 quarantine and stress and COVID-19 quarantine and anxiety. COVID-19 quarantine causes more anxiety than stress among university students, influencing students' behavior to cheat more on online exams. Theoretically, this study Translates a qualitative research question from a prior study that developed the COVID-19 theoretical framework into an accurate prediction of anticipated outcomes. This study also develops a conceptual framework for the relationship between COVID-19, anxiety, stress, and online exam cheating. Besides, this study refined six hypotheses from previously generated propositions. Finally, the study results could be used as general guidelines for university educators and administrators when thinking and deciding on exams, assignments, and how to monitor online exams.
Multiple Band Mobile Antenna for LTE, GSM, PCS, UMTS & IoT Applications

A compact planar inverted folded antenna for LTE, GSM, PCS and UMTS applications is presented in this work. This paper provides the comprehensive study on the placement of mender line ground and its effect on the performance characteristics of the antenna operating bands. Results of intensive investigations by computer simulations are provided for antenna parameters like reflection coefficient (<-10 dB), VSWR (2:1), bandwidth, radiation patterns, field distributions and showcased the technical write-up in this paper. The proposed antenna offers an average gain of 3.4 dB and directivity of 3.8 dB at operating bands of 860 MHz, 960 MHz, 1800 MHz, 2100 MHz and 2700 MHz, which includes 4G and covers most of the applications bands for mobile communication. An impedance bandwidth of 32% at first resonant band (GSM), 26.6% at second resonant band (PCS), 26% at third resonant band (LTE) and 21% at fourth resonant frequency (UMTS) are obtained.
Combining neural classiﬁers in EMG diagnosis

In the case of difficult pattern recognition problems, the combination of the outputs of multiple classifiers using for input multiple feature sets, can improve the overall classification performance. In this work a modular neural network decision support system was developed for the assessment of the electromyographic (EMG) signal recorded from normal subjects and subjects suffering with myopathy and motor neuron disease. Six different feature sets were computed from the motor unit action potentials (MUAPs) composing the EMG signal, as follows: (i) time domain parameters, (ii) frequency domain parameters, (iii) cepstral coefficients and (iv) three different wavelet coefficients (Daubechies, Chui, and Battle-Lemarie). The multiple feature sets were inputted into multiple self-organising feature map (SOFM) classifiers and the classification results were combined using majority voting. Furthermore, a confidence measure was computed which weighted the contribution of each feature set to the final diagnostic yield. The average diagnostic yield for the individual feature sets was 69.1% whereas when combining the six classification results was 76.9%. The use of the confidence measure enhanced further the diagnostic yield to 79.6%.
ASSESSMENT OF APHRODISIAC EFFECTS IN MALE AND FEMALE ANIMALS, ACUTE AND SUBACUTE TOXICITY OF DIAZOSTIMUL

Heinsia crinita (Afzel) Taylor is a medicinal plant currently used in traditional medicine in many African countries to treat various diseases including erectile dysfunction because of its aphrodisiac property empirically known by many people who use an aqueous macerate or decoction for this medical purpose. Nowadays, this aqueous extract is put in an ameliorated galenic form as tablets and called Diazostimul as a natural aphrodisiac product. In the present study, Diazostimul aqueous extract was evaluated in animal model for its aphrodisiac property. Results revealed that the oral administration of this extract in treated male Wistar rats leaded to significant increase of some sexual parameter behaviors such as mount intromission or mount frequency, intromission frequency, penile erection, penile trusting, ejaculation frequency, copulatory efficiency, number of sperm and penile ejaculation interval. On the other hand, other sexual parameters like mount frequency, intromission latency, ejaculation latency known significant decrease. It also showed good potency, ability, motivation, arousability, performance and vigor in treated male animals. All these effects clearly demonstrated that Diazostimul aqueous extract possessed aphrodisiac property. The administration of the extract also significantly increase the level of sexual orientation, oeastradiol, testosterone, production of sperm, motility and fertility in male animals,. In addition, it did not significantly affect the haematological and biochemical parameter concentrations and weight of vital organs of treated animals. It in contrary, it influenced the concentration of some electrolytes. In acute and subacute toxicity testing, results showed that Diazostimul is a safe drug without any toxic effect. They support and justify the current use of this natural medicine by many people in their daily sexual relation where there find great satisfaction. ALP : alkaline phosphate, HDL : high-density lipoproteins, LDL : low-density lipoproteins, SGOT : serum glutamooxalate transferase, SGPT : serum glutamopyruvate transferase.
Disruptive Norms

This paper explores whether introducing an external group into a population with different characteristics to the existing population may lead to behavioural change. Specifically we test whether introducing ethnic minority immigrants with varying levels of civic duty (commitment to voting) norms into a previously homogenous nonimmigrant ethnic majority population influences voter turnout among the nonimmigrant majority group. The findings have been produced using a complex agent based model (‘The Voter Model’) where the parameters and characteristics have been developed through the extensive synthesis of existing findings from real world social science research on voter turnout. The model adopts the KIDS (‘Keep it Descriptive Stupid’) approach to this form of modelling complex systems (Edmonds and Moss 2005). The model puts a particular emphasis on exploring the dynamic social aspects that influence turnout by focusing on the role of networks and spatial composition factors such as ethnic diversity and levels of internal and external immigration. It uses an approach based on aggregative neighbourhood dynamics to go beyond existing static models of the influence of social norms on voting similar to the classic approach of Schelling (1971). The main findings from this paper suggest that, other factors being equal, increased levels of immigration lead to a small but significant increase in turnout among the non-immigrant population and show that higher levels of civic duty among immigrants lead to higher levels of turnout among non-immigrants over time. This challenges the popular belief that increased immigration and diversity in a specific community will always lead to lower turnout levels.
Classiﬁcation of Areas Suitable for Fish Farming Using Geotechnology and Multi-Criteria Analysis

: This study proposed a method for identifying areas appropriate for ﬁsh farming in ground-excavated ponds using data obtained from public institutions. The method was applied to three cities located in the central-southern region of Paran á State, Brazil. In order to select appropriate areas, a geographic information system (GIS) was created using data from a digital elevation model (DEM), as well as data on soil occupation and type. A variable reclassiﬁcation model (VRM) was created, and the analytic hierarchy process (AHP) method was applied to establish weights for a multi-criteria assessment of the factors. Non-classiﬁable areas and areas with constraints were identiﬁed and removed from the analysis. The sites classiﬁed as highly suitable or suitable represented 33.270. 79 ha (18.71% of the total area), while the restricted areas represented 54,427.91 ha (30.60% of the total area). This method may represent a useful tool for decision making in the context of regional planning and may be used in the establishment of public policy and in the allocation of resources for aquaculture development.
AI-Based Decision System to Evaluate Scenarios of Response to the COVID-19 Pandemic. Evidence From Barcelona and Manhattan

In 2020, the COVID-19 outbreak has had severe economic and social consequences all over the planet. Traditional national health systems have been unable to predict and to provide a decision support system able to coordinate an effective response to the outbreak and to stop the rapid spread of this disease. In this current manuscript, we have decided to focus our analysis on Small and Medium Businesses (SMBs). While some SMBs have survived, many others, particularly in urban areas, have had to shut down as a direct decision of government restrictions. Our study presents a decision support system based on Artificial Intelligence which helps governments to prioritize the closures of SMBs located in a city. Indeed, the decision to shut down may vary according to the relative danger that the business premises represent as a social gathering point and its benefits for the local economy. In this vein, we analyse 3 different scenarios which assume different financial and social costs. The visualization of the results on a city map provides additional value for the decision-making process. The Urban Decision Support System is tested by two case studies: Barcelona and New York City. This research has implications for practitioners to support their decision to close-down the economies in the event of another large-scale outbreak. It has also research implications as new evidence that data analytics could be an additional and valuable source of information for decision support processes.
Edinburgh Research Explorer Metabolomics reveal potential natural substrates of AcrB in Escherichia coli and Salmonella enterica serovar Typhimurium

In the ﬁ ght against antibiotic resistance, drugs that target resistance mechanisms in bacteria can be used to restore the therapeutic effectiveness of antibiotics. The multidrug resistance ef ﬂ ux complex AcrAB-TolC is the most clinically relevant ef ﬂ ux pump in Enterobacterales and is a target for drug discovery. Inhibition of the pump protein AcrB allows the intracellular accumulation of a wide variety of antibiotics, effectively restoring their therapeutic potency. To facilitate the development of AcrB ef ﬂ ux inhibitors, it is desirable to discover the native substrates of the pump, as these could be chemically modi ﬁ ed to become inhibitors. We analyzed the native substrate pro ﬁ le of AcrB in Escherichia coli MG1655 and Salmonella enterica serovar Typhimurium SL1344 using an untargeted metabolomics approach. We analyzed the endo- and exometabolome of the wild-type strain and their respective AcrB loss-of-function mutants (AcrB D408A) to determine the metabolites that are native substrates of AcrB. Although there is 95% homology between the AcrB proteins of S. Typhimurium and E. coli , we observed mostly different metabolic responses in the exometabolomes of the S. Typhimurium and E. coli AcrB D408A mutants relative to those in the wild type, potentially indicating a differential metabolic adaptation to the same mutation in these two species. Additionally, we uncovered metabolite classes that could be involved in virulence of S. Typhimurium and a potential natural substrate of AcrB common to both species. IMPORTANCE Multidrug-resistant Gram-negative bacteria pose a global threat to human health. The AcrB ef ﬂ ux pump confers inherent and evolved drug resistance to Enterobacterales , including Escherichia coli and Salmonella enterica serovar Typhimurium. We provide insights into the physiological role of AcrB: (i) we observe that loss of AcrB function in two highly related species, E. coli and S. Typhimurium, has different biological effects despite AcrB conferring drug resistance to the same groups of antibiotics in both species, and (ii) we identify potential natural substrates of AcrB, some of which are in metabolite classes implicated in the virulence of S. Typhimurium. Molecules that inhibit multidrug ef ﬂ ux potentiate the activity of old, li-censed, and new antibiotics. The additional signi ﬁ cance of our research is in providing data about the identity of potential natural substrates of AcrB in both species. Data on these will facilitate the discovery of, and/or could be chemically modi ﬁ ed to become, new ef ﬂ ux inhibitors.
Multi-Objective Optimization Approaches for Design of Hysteresis Inverters Based Active Power Filter

: This paper presents an innovative active power filter design method to compensate simultaneously the current harmonics and reactive power of a nonlinear load. The power filter integrates a passive power filter, which is an RL low-pass filter placed in series with the load, and an active power filter, which comprises of an RL in series with an IGBT based voltage source converter. The filter is supposed to inject a current into the connection node of the load and grid to eliminate current harmonics and its reactive part. The voltage source converter is placed in a hysteresis feedback control loop to generate a harmonic current. The bandwidth and output amplitude of the hysteresis controller are optimized with the inductance of RL filters. Three objective functions are considered in the optimization problem, which include minimizing current total harmonic distortion, maximizing power factor, and minimizing the IGBT bridge current. For solving the optimization problem, four well-known multi-objective evolutionary algorithms are applied, namely, non-dominated sorting genetic algorithm-II (NSGA-II), Strength Pareto Evolutionary Algorithm 2 (SPEA2), Suppaptinarm Multiobjective Simulated Annealing Algorithm (SMOSA) and Multi-Objective Particle Swarm Optimization (MOPSO). The test results showed that the MOPSO technique exhibited the better performance against NSGA-II, SPEA2 and SMOSA relative to the objectives.
Undertanding Of Gender’s Persfective Linked To Islamic Education During Covid-19 Pandemic

This study aimed to understand adolescents' gender identity levels, the issue of gender-biased religious lectures on social media and to analyze from the point of view of the negative effects of social media on their gender identity. Gender-based religious lectures given in social media by some prominent figures promote sexism against women in Indonesia. In this study, the researcher used a method of description and analysis for using qualitaitve and peminist approach. The study consisted of 300 adolescents (men and women) of 15-20 years. The researchers developed a survey based on the concept of gender identity of Kohlberg's theory. This study demonstrates that the mass religious lectures on social media are concerned not only with the textual interpretation of religious scriptures, but also with religious commodification. The results showed several postive effects on the gender dentity of adolescents in the social media.
Feynman-x and Transverse Momentum Dependence of D Meson Production in 250 GeV (cid:25) , K and p – Nucleon Interactions

We measure the di(cid:11)erential Feynman- , K p -induced cross-sections are compared to the theoretical predictions for charm quark production of next-to-leading order (NLO) perturbative QCD using modern parameterizations of the pion and nucleon parton distributions. We observe the di(cid:11)erences expected in production induced by projectiles with di(cid:11)erent gluon distributions, harder distributions being indicated for mesons than for protons.