Miracle-dz/UniFAR-FTUs huggingface dataset:
Necktie - A Profound LEARNING FEEDFORWARD NEURAL System FOR Opinion Investigation

The most effective method to demonstrate and encode the semantics of human-composed content and choose the kind of neural system to process it are not settled issues in conclusion investigation. Exactness and transferability are basic issues in AI as a rule. These properties are firmly identified with the misfortune gauges for the prepared model. I present a computationally-effective and precise feedforward neural system for slant expectation equipped for keeping up low misfortunes. At the point when combined with a viable semantics model of the content, it furnishes exceptionally exact models with low misfortunes. Trial results on delegate benchmark datasets and correlations with different strategies show the upsides of the new methodology.
Adult Literacy and Skill Acquisition Programmes as Correlates of Women Empowerment and Self-Reliance in The Gambia

Self-reliance and empowerment for women have been at the centre of the agitations for gender balance in Africa. Women are largely marginalised, and obvious gender disparity exists in school enrolment and completion rates in most African countries, particularly in The Gambia. Efforts to address this shortfall led to the adoption of adult literacy and skill acquisition programmes to build the capacity of women and out-of-school adults. Training contents were developed and centres set up across the six educational regions in the country, but most graduates of the programme are neither financially empowered nor self-reliant. Therefore, the study examined the relationship between these capacity-building programmes and women empowerment and self-reliance. The research employed a descriptive design of survey type with 250 participants from two educational regions in The Gambia. Four null hypotheses were raised and data collected through a questionnaire were analysed using t-test, mean, and simple frequency. The result showed that adult literacy and skill acquisition programmes correlate significantly with women empowerment and self-reliance in The Gambia. Recommendations were made on how to improve on the existing training structure.
“Drop the Body”: Body Disposal Patterns in Sexual Homicide

The current study investigates body disposal patterns in sexual homicide and examines whether offender’s behavior differ between solved and unsolved cases. To address these two research questions in line with rational choice perspective, a series of logistic regression analyses was conducted on a sample of 250 solved, and 100 unsolved sexual homicide cases in Canada. Within solved cases, results show that if victim is a prostitute, body found concealed, and found lying face down, it is likely the body was moved. For unsolved cases, the role of victim as a prostitute, and body recovered outdoors suggest that the body was moved. Further, results indicate that post-crime phase factors predicted the most whether the victim’s body was moved in solved cases. Whereas within unsolved cases, crime-phase factors contributed the most at predicting whether the body was moved post-homicide. Theoretical and practical implications from this study are discussed.
Correlation of CTR1, ERCC-1, and HSP70 expressions with cisplastin response in cervical cancer stage IIB

Objectives : This study aimed to determine the resistance of cisplatin (chemotherapy drugs) at three point areas including expression of CTR1, ERCC1, and HSP70 in cervical cancer patients. Materials and Methods : This research used a cross sectional approach. The population in this study were patients with stage IIB of cervical carcinoma. The study sample were patients with stage IIB of cervical carcinoma according to the FIGO classification, patients received cisplatin chemotherapy treatment (50 mg/m2 4 times), had good kidney and liver function. The independent variables in this study were the expression of CTR1, ERCC1, and HSP70 and the dependent variable of this study was the response to cisplatin therapy in cervical cancer. Primary data was obtained through MRI examination after the administration of cisplatin 50 mg/m2 every week. The parameters of this study included the expression of CTR1, ERCC1 and HSP70. Data obtained were analyzed using Wilcoxon rank test, Spearman test and categorical regression with a significance level of p <0.05. Results : The treatment of cisplatin therapy in cervical cancer patients had no significant correlation between the expression of CTR1 and ERCC1, but in the expression of HSP70 there was a significant negative correlation which means that the higher the expression of HSP70, the worse the response of therapy. Conclusion : This study showed that HSP70 expression can be used as an indicator in treatment of cisplatin therapy in cancer patients through MRI examination.
Modeling the spatiotemporal dynamics of virotherapy and immune response as a treatment for cancer

Oncolytic virotherapy is a promising treatment for cancer, which uses viruses that selectively target and kill cancer cells. In this article, we developed a system of partial differential equations, which describes the spatiotemporal dynamics of cancer cells under virotherapy and immune response. We carried out numerical simulations of the system and analyzed the important biological parameters. The numerical results suggest that high viral infection plays an important role in improving the treatment outcomes. Moreover, strong immune response can improve the result of virotherapy along with a high immune killing rate of cancer cells. This model could be validated by using patients’ data; and thus it may help oncologists choose the optimal therapy to eradicate cancer.
Implementation of Problem-Based Learning to Improve Critical Thinking Skills in Entrepreneurs Learning

Critical thinking skill is highly required to face the industrial era 4.0 in the 21st century that is integrated into the knowledge, skills and attitudes and mastery of ICT. The purpose of this study was to see the effect of applying Problem Based Learning to improve critical thinking skills in Entrepreneurship learning. This research employed the quasi-experimental method to compare the results of the experimental class treatment with the control class. The design used in this study was the non-equivalent control group design. The sample of this study was students of the Electronics Engineering Education study program at the Faculty of Engineering, Makassar State University who were registered in the entrepreneurship course. The results showed that: (1) the application of Problem Based Learning on Entrepreneurship Learning could significantly improve critical thinking skills, and (2) the application of Problem Based Learning could improve student learning activities.
Justifying Income In-Equality (or not): Does Subjective Well-being matter?

In the empirical literature, the relationship between income inequality and subjective wellbeing has been extensively studied. What is missing from the literature is an understanding as to how subjective well-being affects the justifiability of income inequality. This understanding, however, is highly relevant to policy decision-making. For example, egalitarian preferences or lack of it may have a significant impact on tax and redistribution policies. Using a survey dataset covering more than 330,000 observations for over 90 countries and spanning from 1981 to 2014 in six waves, we find that as subjective well-being increases, individuals are more likely to agree with the presence of income differences. This supports theoretical findings in the literature of belief in a just world, self-enhancement bias and the tunnel effect. Individuals might believe everyone gets what they deserve (belief in a just world), having perceptions of their state to be rosier than what it is (self-enhancement bias) and, thus, wanting such conditions to persist or tolerate inequality in the hope for advancement in the future (tunnel effect). Our benchmark results consist of probit fixed effect estimates. We take into account endogeneity concerns that may arise due to reverse causality, non-random sample selection or simultaneity bias by also considering instrumental-variable and inverse probability regressions adjustment models. Our main finding – higher levels of subjective well-being lead to less egalitarian attitudes – is robust to these approaches.
Ecological quality of freshwater lakes and their management applications in urban territory

Freshwater lakes and rivers are habitats of variety of organisms and their populations giving great importance for freshwater ecosystems and providing water resources, food and recreational possibilities for humans. In spite of their fundamental importance to humans, freshwater lakes have been affected by anthropogenic disturbances, which have led to serious negative effects on the structure, functions and quality of these ecosystems. Lake ecosystems are dependent on inflow of water and supply of matter and energy from their catchment area. In studied lakes significant anthropogenic impact in loads of nutrients in their sediments and water was detected. This highlights the well-known problem of freshwaters in the World and in Europe – eutrophication, which can lead to increased productivity of water ecosystems – increased algae blooms, spreading of macrophytes and decreasing of oxygen content in water. Studied lake ecosystems show presence of human impact, not only by physiochemical parameters, but also by changes in biomass production, cyanobacterial algal blooms and overgrowing with macrophytes was observed. In order to improve water quality, appropriate management measures should be applied. We have analysed advantages and disadvantages of such measures as sediment removal, constructing of wetlands, cutting reeds and forming ecotones.
University of Birmingham Entering the public bond market during the financial crisis

This paper investigates the impact of underinvestment and asymmetric information cost on the determinants and timing of a firm’s decision to issue its first-time public bond. Using a sample of non-convertible public bonds made by UK public and private companies between 2007 and 2011, the results show that the choice of capital source is strongly affected by the agency conflict. In particular, the agency cost in the form of underinvestment problems delays a firm’s entry to the public bond market. However, the results show that, unlike previous studies, private companies are more likely to enter the public bond market before undertaking their equity IPOs, supporting the pecking order theory under asymmetric information argument. The results also suggest that firms with less information asymmetry and those that establish a track record are more likely to undertake bond IPOs during the crisis, but private companies enter the public bond market earlier than the equity market. These results hold even after controlling for bank relationships and demands for external funds.
A comparative evaluation of shear bond strength of three different restorative materials to biodentine and TheraCal lc: An in-vitro study

Aim: The aim of this study was to evaluate and compare the shear bond strength of three different restorative materials to Biodentine and TheraCal LC respectively. Materials and Methods: 60 acrylic blocks were prepared and divided into 2 groups of 30 samples each. Group I samples were filled with Biodentine and Group II with TheraCal LC. Each of these groups were further divided into 3 groups of 10 samples each in which restorative materials were packed over the Biodentine or TheraCal LC base as follows: Group IABiodentine-Composite, Group IIATheraCal LCComposite, Group IBBiodentine-Glass ionomer cement, Group IIBTheraCal LCGlass ionomer cement, Group ICBiodentineResin modified GIC and Group IICTheraCal LCResin modified GIC. The samples were then tested for shear bond strength using the universal testing machine. The data were analysed using ANOVA test followed by Post hoc dunnett’s test for multiple group comparison. Results: On comparison of shear bond strength, statistically significant difference (p<0.05) was found between Group IA and IIA and that of Group IC and IIC. No statistical significant difference (p>0.05) was present between Group IB and IIB. A highly statistical significant difference (p<0.001) was present between the six groups in relation to shear bond strength. Conclusion: The highest shear bond strength value was obtained with TheraCal LC and Composite and lowest value with Biodentine and GlC.
Mechanical Occlusion Chemically Assisted Ablation (MOCA) for Saphenous Vein Insufficiency: A Meta-Analysis of a Randomized Trial

Purpose A previous meta-analysis has conducted nonrandomized trials for mechanochemical ablation (MOCA). Since medium-term follow-up data from randomized clinical trials (RCTs) are becoming available, we chose to perform a meta-analysis of RCTs to assess the efficacy and safety of MOCA for saphenous vein insufficiency. Methods A systematic search of all RCTs comparing the anatomical success of MOCA for saphenous vein insufficiency to thermal ablation was performed using the PubMed and Cochrane Library databases. We employed the Mantel-Haenszel random-effects meta-analysis of outcomes using RevMan 5.3. Results Four studies (615 patients) were included in this meta-analysis. The MOCA group had 93.4% and 84.5%, whereas the thermal ablation group had 95.8% and 94.8% of anatomical success rate at 1 month (short-term) and a period of more than 6 months but less than 1-year follow-up (mid-term), respectively. According to intention-to-treat analysis, there were similar anatomical successes in MOCA and thermal ablation groups at the short-term follow-up (low-quality evidence; relative risk (RR) = 0.98 (95% CI, 0.94–1.03); P = 0.44; I2 = 53%). The estimated effect of MOCA on anatomical success showed a statistically significant reduction at the mid-term follow-up (moderate-quality evidence; RR = 0.89 (95% CI, 0.84–0.95); P = 0.0002; I2 = 0%). MOCA had fewer incidence of nerve injury, deep vein thrombosis, and skin burns compared to the thermal ablation procedure (low-quality evidence; RR = 0.33 (95% CI, 0.09–1.28); P = 0.11; I2 = 0%). Conclusion MOCA offered fewer major complications but lesser anatomical success at the period of more than 6 months but less than 1-year follow-up than thermal ablation. Trial Registration. This trial is registered with UMIN Clinical Trial Registry (UMIN ID 000036727).
FuzzGuard: Filtering out Unreachable Inputs in Directed Grey-box Fuzzing through Deep Learning

Recently, directed grey-box fuzzing (DGF) becomes popular in the ﬁeld of software testing. Different from coverage-based fuzzing whose goal is to increase code coverage for triggering more bugs, DGF is designed to check whether a piece of potentially buggy code (e.g., string operations) really contains a bug. Ideally, all the inputs generated by DGF should reach the target buggy code until triggering the bug. It is a waste of time when executing with unreachable inputs. Unfortunately, in real situations, large numbers of the generated inputs cannot let a program execute to the target, greatly impacting the efﬁciency of fuzzing, especially when the buggy code is embedded in the code guarded by various constraints. In this paper, we propose a deep-learning-based approach to predict the reachability of inputs (i.e., miss the target or not) before executing the target program, helping DGF ﬁltering out the unreachable ones to boost the performance of fuzzing. To apply deep learning with DGF, we design a suite of new techniques (e.g., step-forwarding approach , representative data selection ) to solve the problems of unbalanced labeled data and insufﬁcient time in the training process. Further, we implement the proposed approach called FuzzGuard and equip it with the state-of-the-art DGF (e.g., AFLGo). Evaluations on 45 real vulnerabilities show that FuzzGuard boosts the fuzzing efﬁciency
Risk-Sensitive Preferences and Age-Dependent Risk Aversion

People in different age groups have shown to differ in their degrees of risk aversion. This study investigates the macroeconomic implications of population aging when households are assumed to be increasingly risk-averse in future utility when they age. The model incorporates risk-sensitive preferences used in Hansen & Sargent (1995), which is the only recursive preferences that can separate risk aversion and intertemporal elasticity of substitution while being monotonic, into a 16-generation discrete-time OLG model with undiversifiable income risk. Compared to a time-additive counterpart, risk-sensitive preferences capture precautionary saving motive that exacerbates adverse responses of aggregate macroeconomic variables under a population aging scenario through demographic re-weighting and life-cycle redistribution channels. Varying risk aversion also allows households to internalize future uncertainties when evaluating their welfare impacts of demographic change, resulting in non-monotonic welfare dynamics with higher welfare loss under a high-risk environment and vice versa. Risk-sensitive preferences with age-dependent risk aversion can play an important role in optimal policy settings by introducing uncertainties into the welfare impact analysis, while taking into account more realistic risk-taking behavior of different age cohorts.
ANALYSIS OF PHYSICAL AND MECHANICAL PROPERTIES OF MULTIWALLED CARBON NANOTUBES (MW-CNTs) REINFORCED MINERAL COMPOSITES AS AN ENVIRONMENTALLY FRIENDLY MACHINE BASE STRUCTURE

The Rigidity, absorption resistance, and vibration damping are important factors for the formation of static components and structures with excitation force loads. The development of new materials from composites for metal substitution has achieved better properties. The use of rocks with reinforcement CNTs can produce higher damping properties than metal casting, but young modulus is low. The Composite polymer material made from volcanic rock can be cast with epoxy with a variation of the aggregate ratio using compressive press able to improve mechanical properties. The volcanic rocks used in this study are granite, silica, and volcanic sand, using carbon nanotubes MW-CNTs as reinforcement. This research was conducted to produce structures with high strength and rigidity. The material are classified dimensions coarse (0,2-0,5 mm), medium (20 μm-50 μm), and fine (0.125mm/0.50 mm). Based on SEM/EDX test results of granite, silica, and volcanic sand have high silica content (with the sharp crystalline form that has the potential to strengthen the composite bond. The fly ash has high silica content, with round and fine crystals form. The specimen formation method refers to the dimensions of the composite specimen bending test according to ASTM D 645. The combination of materials that warns hardness and elongations, in separate tests of volcanic sand and granite which has the highest hardness, the use of CNTs can increase the hardness of 15% in each specimen, increase bending testing at 220% to 300%, prove that the inside of the crystalline bond forms ductile properties.
Molecular characterization of Acinetobacter baumannii from patients with prolonged hospital stays in three tertiary hospitals of Kano Metropolis, Northwestern Nigeria

Acinetobacter baumannii is one of the most important opportunistic bacterial pathogens that cause serious health care associated complications in hospitalized patients. This leads to prolong hospital stay which increase cost to both healthcare provider and family of the patients. The study aimed at molecular characterisation of A. baumannii from patients with prolonged hospital stays in three tertiary hospitals of Kano Metropolis, Northwestern Nigeria. A total of 401 samples were collected from orthopedic and post-surgical wound infections, urine, urine catheters and nasal intubation. Acinetobacter spp was isolated using standard microbiological methods. Identification of A. baumannii isolates were done using Phynotypic methods such as culture on Leed Acinetobacter medium, conventional biochemical tests and API 20NE. Suspect Acinetobacter species were further identified using polymerase chain reaction (PCR) and Sanger sequence typing methods. Out of 401 samples collected 138 (34.4%) were positives by yield suspect bacterial isolates 14 (10.1%) of which were suspect A. baumannii. The results of confirmatory sequence typing of isolates showed that 9 (6.5%) of suspect Acinetobacter spp were A. baumannii. The result of susceptibility test showed that A. baumannii isolates were highly resistance to Ampicillin\ salbactam 13 (92.8%) and least resistance to Ciprofloxacin 2 (14.3%) and Amikacin 3 (21.4). The results of this finding showed presence of A. baumannii species resistant to conventional antibiotics and associated with prolonged duration of patients admission in the three studied hospitals. There is need for improved sanitary working condition and proper patients management to reduce the spread of this health care associated infection agent. Key words: Molecular, characterization, Acinetobacter baumannii, patients, prolonged hospitals, Kano, Northwestern Nigeria.
Robotic-Assisted Laparoscopic Surgery in Pediatric Urology: An Update

Laparoscopic procedures for urological diseases in children, such as nephrectomy, pyeloplasty and orchiopexy, have proven to be safe and effective with outcome comparable to the open procedure. However, main drawback has been the relatively steep learning curve for this procedure because of technical difficulties of suturing and anastomosis. More recently, robotic-assisted laparoscopic surgery (RAS) has gained enormous popularity in adult urology and is increasingly being adopted around the world; however, few pediatric urology series have been reported. RAS has several advantages over conventional laparoscopic surgery, with the main advantage being simplification and precision of exposure and suturing because of allowing movements of the robotic arm in real time with increased degree of freedom and magnified 3-dimentional view. These features render RAS ideal for complex reconstructive surgery in a pediatric urological population. This review discusses the role of RAS in pediatric urology, and provides some technical aspects of RAS and a critical summary of current knowledge on its indications and out-come. Almost all operations that are classically performed as open or conventional laparoscopic reconstructive surgery for children with urological anomalies could be replaced by RAS, which may be established as an alternative minimally invasive surgery in the future.
Online Cloud Provider Selection for QoS-Sensitive Users: Learning with Competition

—The expanding cloud computing services offer great opportunities for consumers to obtain better and cheaper service conveniently, which however raises new challenges on how to select the best service provider out of the huge pool. Although existing literatures have proposed several provider selection frameworks, none of them considered the performance unpredictability and dynamics caused by competition among cloud users. In this paper, we consider the online provider selection framework, where users dynamically and individually select their service providers based on experienced performance, and investigate the distributed decision-making strategy to achieve overall and individual performance guarantee. Speciﬁcally, we propose the learning-based selection policy, named Exp3.C, which regulates the system converging to a set of pure Nash equilibriums (PNE) of a congestion game in the homogeneous scenarios. Further, we show that even in a chaotic scenario where cloud users maybe irrational (which results in disordered and unpredictable behaviors) and the available resource of providers may change, the user’s proﬁt is guaranteed to approach that of selecting the best provider (which is derived with the assumption that all providers’ status evolution are known) at the rate O ( √ T ) in T rounds. Finally, numerical results validate the effectiveness of the proposed algorithm.