Miracle-dz/UniFAR-FTUs huggingface dataset:
Human capital and employment in the WAEMU countries : Case of Benin, Burkina, Niger and Senegal

The issue of employment is one of the main challenges of inclusive growth for most African countries. 11 million young people enter the labor market each year, while the sub-Saharan Africa labor market offers only 3 million jobs, a gap of around 8 million jobs per year (ADB, 2017). From this work, we evaluate, using a multinomial logit model (MLM), the impact of human capital on the probability of access to employment in a sample of WAEMU countries with data from household surveys. The results show that a significant increase in human capital allows for a qualified job in all four WAEMU countries. However, in Senegal, the accumulation of vocational and/or technical training has led to a considerable increase in skilled employment.
The impact of computer-mediated immediate feedback on developing oral presentation skills: An exploratory study in virtual reality

From the article: "AbstractFeedback plays a central role in learning. Crucial to this is the nature and timing ofthe feedback. This experimental study explores the efficacy of immediate computer-mediated feedback within a virtual reality environment designed to facilitate thedevelopment of pre-university students' presentation skills. Two conditions wereestablished to assess the efficacy: immediate computer-mediated feedback; a controlcondition of delayed expert-mediated feedback. Results showed improvement butno statistically relevant difference in performance gains between the two conditions,suggesting both can facilitate learning. Furthermore, students perceived the environ-ment to be an effective and motivating platform in which to practise presentationskills. For educators seeking viable alternatives to face-to-face presentation practiceand feedback, the finding that immediate computer-mediated feedback is potentiallyas effective in aiding presentation performance is crucial for two reasons: first, itexpands practice opportunities for students; second, it could result in less pressureon resources, including time and staffing. "
A Full-Passband Linear-Phase Band-Pass Filter Equalized With Negative Group Delay Circuits

A full-passband linear-phase band-pass filter (BPF) equalized with negative group delay circuits (NGDC) is proposed. The NGDCs are utilized to suppress the salient group delay at the edge of the passband of the traditional BPF for achieving the full-passband linear-phase characteristic. To obtain input- and output-port impedance matching, two BPFs loading NGDCs are center symmetrically configured by Wilkinson power dividers. To verify the design concept, a 3-order full-passband linear-phase BPF is designed and fabricated. From the measured results, the GD fluctuation is reduced by 74% from 0.57 to 0.15 ns, return loss is better than 10 dB, and the insertion loss variation is less than 3 dB within the frequency range from 2.142 to 2.804 GHz. The proposed BPF achieves a flat group delay in the whole passband and realizes the full-passband linear-phase characteristic.
Small Ruminant Brucellosis and Public Health Awareness in Two Districts of Afar Region, Ethiopia

Cross-sectional serological and questionnaire surveys were employed on small ruminants to determine the prevalence of brucellosis, identify risk factors and public health implications. Brucellosis is a bacterial disease with high economic and public health importance in the sub-Sahara countries in particular. A total of 1190 blood samples were collected from shoats (876 caprine and 314 ovine) in Chifra and Ewa districts. One hundred fifty five (13%) of the samples tested were positive using mRBPT. Further testing of the positive reactors for mRBPT with CFT revealed 147 (12.35%) seropositivity for brucella. The result showed that among the risk factors considered in the analysis, species, sex, age, parity number and flock size had statistically significant effect on seropositivity (p<0.05). Goats were more than 2 times (OR=2.34) at risk of getting infected with brucella than sheep. The seroprevalence was also significantly higher in female (13.8%) than in male (6.5%) animals. The odds of seropositivity in older animals are 2.36 times higher than that of younger ones. Individual animal seroprevalence was higher in larger flocks than in smaller ones (OR=0.68). The habit of drinking raw milk was practiced by almost all of the respondents. Poor awareness of the zoonotic importance of brucellosis and the practices of consuming raw milk and handling potentially infectious materials using bare hands pose a serious danger to small ruminant owners. There is a need for planning and implementation of joint programs by stakeholders in prevention and control of the disease as well as raising public awareness.
Partial Caudal Anesthesia leading to Severe Respiratory Acidosis

: Caudal anesthesia is commonly practiced regional procedure which is quick to learn and easy to perform but not risk free. Unrecognized and disregarded, inadequate or failed block may cause grave consequences ranging from straining to death. In order to achieve safety “vigilance” should the motto of attending anesthesiologist.
The Conceptual Framework of Information Technology Adoption Decision-making in a Closed-loop Supply Chain

Closed-loop supply chain has gained a significant attention during the recent decades since there is an increased awareness toward sustainable development. However, the implementation of closed-loop supply chain is confronted with numerous barriers and challenges due to uncertainties in input as well as in process. In contrast to manufacturing process where the input is mostly homogeneous raw material, the reverse chain’s input comes from product’s end-of-use or end-of-life; therefore the timing, quality and quantity are uncertain. The recovery process also brings other challenges due to various quality grades of the product returns and various recovery options. On the other hand, information technology has been studied extensively in relation to supply chain management. Most of the works show that the use of information technology could enhance supply chain performance. However, the study on the importance of information technology in closed-loop supply chain is still limited. In this paper, we discuss the role of information technology and then propose a conceptual framework of decision making in adopting IT in closed-loop supply chain management.
UAV cooperative attack and route planning based on DPSO algorithm

For UAV cooperative attack and route planning problem, a cooperative attack allocation model is established in fully considering the attack cost and attack revenue. Considering the threat cost and path distance cost, a flight path planning model is also established. An improved particle swarm optimization algorithm called DPSO is proposed by discrete space mapping, which can reduce redundant search and speed up search. Based on the model and optimization algorithm, reasonable cooperative attack target assignment and route planning are worked out, and the optimal performance is achieved.
Just What the Doctor Ordered? Physician Mobility After the Adoption of Electronic Health Records

Although significant research has examined the effect of enterprise information systems on the behavior and careers of employees, the majority of this work has been devoted to the study of blue and grey collar workers, with little attention paid to the transformative effect IT may have on high status professionals. In this paper, we begin to bridge this gap by examining how highly skilled professionals react to the increasing presence of technology within their organizations. Specifically, we investigate how the implementation of electronic health record systems (EHRs) affects physician mobility and the decision to continue practicing at their current hospital. Results from a census of physicians in the state of Florida suggest that when these enterprise systems create complementarities for the physician, their tenure at the focal organization increases significantly. However, when technologies are disruptive to the physician’s routines, there is a pronounced exodus from the organization. Interestingly, d.
Survey: energy efficient protocols using radio scheduling in wireless sensor network

An efficient energy management scheme is crucial factor for design and implementation of any sensor network. Almost all sensor networks are structured with numerous small sized, low cost sensor devices which are scattered over the large area. To improvise the network performance by high throughput with minimum energy consumption, an energy efficient radio scheduling MAC protocol is effective solution, since MAC layer has the capability to collaborate with distributed wireless networks. The present survey study provides relevant research work towards radio scheduling mechanism in the design of energy efficient wireless sensor networks (WSNs). The various radio scheduling protocols are exist in the literature, which has some limitations. Therefore, it is require developing a new energy efficient radio scheduling protocol to perform multi tasks with minimum energy consumption (e.g. data transmission). The most of research studies paying more attention towards to enhance the overall network lifetime with the aim of using energy efficient scheduling protocol. In that context, this survey study overviews the different categories of MAC based radio scheduling protocols and those protocols are measured by evaluating their data transmission capability, energy efficiency, and network performance. With the extensive analysis of existing works, many research challenges are stated. Also provides future directions for new WSN design at the end of this survey.
Establishing and measuring treatment fidelity of a complex cognitive rehabilitation intervention: The multicontext approach

Introduction This article describes the process of establishing and measuring treatment fidelity of a complex cognitive rehabilitation intervention that uses a metacognitive strategy framework (the multicontext approach). We adapted treatment guidelines for use within an inpatient rehabilitation setting for people with acquired brain injury; explored training methods and therapist perspectives; developed and examined inter-rater reliability of a fidelity measure; and examined adherence to and proficiency of treatment methods. Method Therapist perspectives of the intervention and training were obtained from written questionnaires and reflections. Inter-rater reliability of 21 treatment components across 22 video-recorded treatment sessions was assessed by examining absolute agreement between two raters using Cohen’s kappa. The proportion of treatment components implemented in individual sessions as well as average proficiency ratings was calculated. Results The fidelity measure demonstrated good inter-rater agreement, ranging from 91–100% for treatment adherence and kappa of . 77 to . 94 for therapist proficiency. Adherence and proficiency varied between therapists but increased to nearly proficient levels with adjustments to training and procedures. Therapists highlighted the critical importance of video review as a training tool. Conclusion The fidelity measure provides a clinical tool for therapist self-reflection, supervision and training, as well as a tool for future research.
The Amazon rainforest soundscape characterized through Information Theory quantifiers

Abstract Automatic monitoring of biodiversity by acoustic sensors has become an indispensable tool to assess ecological stress at an early stage. Due to the difficulty in recognizing the Amazon’s high acoustic diversity and the large amounts of raw audio data recorded by the sensors, the labeling and manual inspection are not feasible. Therefore, we propose a new ecoacoustic index that allows us to quantify the complexity of an audio segment and correlate such complexity with the soundscape’s biodiversity. The approach uses unsupervised methods to avoid the problem of labeling each species individually. The proposed index is called the Ecoacoustic Complexity Index (ECI) and makes use of Statistical Complexity, a measure of Information Theory Quantifiers. An interesting feature of this index is that each audio segment, even of variable length, can be characterized as a single two-dimensional point in the Causal plane, helping us understand the ecoacoustic dynamics of the rainforest. The main results show regularity in the ecoacoustic richness of a floodplain considering different temporal granularities, be it between hours of the day or between consecutive days of the monitoring program. We found that this regularity does a good job of characterizing the soundscape of the environmental protection area of Mamiraua, in the Amazon, differentiating between species richness, environmental phenomena, and insects.
Have we lost the plot? All the preventative, acute and chronic medical strategies that the practice has to offer will not save a pet if its behaviour is incompatible with society’s expectations

Abstract Through failing to ensure that owners are capable of maintaining their pet’s emotional welfare, is the veterinary community falling short of their professional obligation to “do none harm”? Owner requirements of relationships with pets are becoming increasingly demanding and similar to that of the human–human bond. Simultaneously, the environment in which pets live is both less comparable to anything that might be considered “normal” for the species yet increasingly likely to involve challenging social and environmental complexity. These mismatches between human expectations and pet behavioural and emotional welfare needs are leading to levels of pet loss (through stress-related illness, euthanasia and relinquishment) that far exceed that for medical issues. This article takes an overview of current in-practice behavioural support and how it can be expanded to better meet the needs of pets and owners, assisting a mutual meeting of expectations.
Handover Management for mmWave Networks With Proactive Performance Prediction Using Camera Images and Deep Reinforcement Learning

For millimeter-wave networks, this paper presents a paradigm shift for leveraging time-consecutive camera images in handover decision problems. While making handover decisions, it is important to predict future long-term performance—e.g., the cumulative sum of time-varying data rates—proactively to avoid making myopic decisions. However, this study experimentally notices that a time-variation in the received powers is not necessarily informative for proactively predicting the rapid degradation of data rates caused by moving obstacles. To overcome this challenge, this study proposes a proactive framework wherein handover timings are optimized while obstacle-caused data rate degradations are predicted before the degradations occur. The key idea is to expand a state space to involve time-consecutive camera images, which comprises informative features for predicting such data rate degradations. To overcome the difficulty in handling the large dimensionality of the expanded state space, we use a deep reinforcement learning for deciding the handover timings. The evaluations performed based on the experimentally obtained camera images and received powers demonstrate that the expanded state space facilitates (i) the prediction of obstacle-caused data rate degradations from 500 ms before the degradations occur and (ii) superior performance to a handover framework without the state space expansion.
Systematic Normalization with Multiple Housekeeping Genes for the Discovery of Genetic Dependencies in Cancer

Cancer results from complex interactions between genes that are misregulated. Although our understanding of the contribution of single genes to cancer is expansive, the interplay between genes in the context of this devastating disease remains to be understood. Using the Genomic Data Commons Data Portal through National Cancer Institute, we randomly selected ten data sets of breast cancer gene expression, acquired by RNA sequencing to be subjected to a computational method for the exploration of genetic interactions at a large scale. We focused on genes that suppress genome instability (GIS genes) since function or expression of these genes is often altered in cancer. In this paper, we show how to discover pairs of genes whose expressions demonstrate patterns of correlation. To ensure an inter-comparison across data sets, we tested statistical normalization approaches derived from the expression of randomly selected single housekeeping genes, or from the average of three. In addition, we systematically selected ten housekeeping genes for the purpose of normalization. Using normalized expression data, we determined R2 values from linear models for all possible pairs of GIS genes and presented our results using heatmaps. Despite the heterogeneity of data, we observed that multiple gene normalization revealed more consistent correlations between pairs of genes, compared to using single gene expressions. We also noted that multiple gene normalization using ten genes outperformed normalization using three randomly selected genes. Since this study uses gene expression data from cancer tissues and begins to address the reproducibility of correlation between two genes, it complements other efforts to identify gene pairs that co-express in cancer cell lines. In the future, we plan to define consistent genetic correlations by using gene expression data derived from different types of cancer and multiple gene normalization. CCS CONCEPTS Applied computing → Computational biology. ACM Reference Format Oliver Bonham-Carter and Yee Mon Thu. 2019. Systematic Normalization with Multiple Housekeeping Genes for the Discovery of Genetic Dependencies in Cancer. In Niagara Falls, New York. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/nnnnnnn.nnnnnnn
UNAPRЕĐENJE PROCESA POSLOVANJA PRIMENOM EDI STANDARDA ZA RAZMENU DOKUMENATA

Abstract – The theme of this paper is based on the application of electronic document exchange. The basic terms of electronic document exchange are presented, while the research part of the paper shows the implementation of EDI exchange in a company engaged in transport and storage services. The research was conducted with the help of free FTP client applications as well as with SAP ERP and SAP PI tools.
Overstaying in patchy foraging can be explained by behavioral variability

Foragers often systematically deviate from rate-maximizing choices in two ways: in accuracy and precision. That is, they both use suboptimal threshold values and show variability in their application of those thresholds. We hypothesized that these biases are related and, more specifically, that foragers’ widely known accuracy bias – over-staying – could be explained, at least in part, by their precision bias. To test this hypothesis, we analyzed choices made by three rhesus macaques in a computerized patch foraging task. Confirming previously observed findings, we find high levels of variability. We then show, through simulations, that this variability changes optimal thresholds, meaning that a forager aware of its own variability should increase its leaving threshold (i.e., over-stay) to increase performance. All subjects showed thresholds that were biased in the predicted direction. These results indicate that over-staying in patches may reflect, in part, an adaptation to behavioral variability.
COMPARISON OF PATHOGENESIS OF P. BERGHEI INFECTION IN MOUSE AND RAT MODELS

Background: The cytokine cascade in the immunopathogenesis of malaria infection had been widely studied. However, their specific association with survival and severe infection remained obscure. Methods: The study investigated the cytokine profiles and histopathological features of malaria in the severe infection and survival models by using male ICR mice and male Sprague Dawley rats respectively. Results: The severe model, the infected ICR mice, exhibited a high parasitemia with 100% mortality after peak parasitemia at day 5 post-infection. The survival model, the infected Sprague Dawley rats, showed mild parasitemia with full recovery by day 14 of infection. Both severe and survival models showed similar histopathological severity during peak parasitemia. The severe model produced highly elevated levels of proinflammatory cytokines, TNF-α and IL-1α, and low levels of the anti-inflammatory cytokine, IL-4; while the survival model showed low levels of TNF-α and IL-1α with high levels of IL-4. Conclusion: There were differences in the pathogenesis of the severe and survival models of malaria infection. These could be a basis for immunotherapy of malaria in the future.
The Role of Architecture in Constructing Gameworlds: Intertextual Allusions, Metaphorical Representations and Societal Ethics in Dishonored

In this article, we present a close analysis of the role that the steampunk industrial Victorian architecture in Dishonored (2012) has in constructing the player’s experience and knowledge of the gameworld. Through various intertextual allusions and metaphorical representations, we argue the architecture works as an important storytelling element, contextualizing information that the player learns and conveying information about the game’s main characters, similar to the ways that architecture is utilized in other visual media such as television and film. In addition, we also argue that the architecture in Dishonored plays a crucial role in conveying to the player information about the morals and values of the fictional society, key to the game’s moral-choice gameplay.
Design and Control of a GaN-Based, 13-Level, Flying Capacitor Multilevel Inverter

Multilevel topologies are an appealing method to achieve higher power density converters for both mobile and stationary systems. This article discusses the design and high-performance hardware implementation of a 13-level, flying capacitor multilevel (FCML) inverter. Derivation of flying capacitor sizing for ac output voltages (for an arbitrary level FCML) is provided. Operating from an 800-<inline-formula> <tex-math notation="LaTeX">$V_{\text {dc}}$ </tex-math></inline-formula> bus, this hardware prototype utilizes switch modules with 100-V rating. Moreover, a 120-kHz switching frequency is enabled through the use of gallium nitride (GaN) FETs and the development of custom-integrated switching cells, which reduce commutation loop inductance and allow for a modular design. The frequency multiplication effect of FCML inverters allows the output inductor of the inverter to be made exceptionally small (<inline-formula> <tex-math notation="LaTeX">$4.7~\mu \text{H}$ </tex-math></inline-formula>) while maintaining a 0.7% total harmonic distortion (THD) due to the 1.44-MHz effective inductor ripple frequency.