Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Associated With Non-Participation In Cervical Cancer Screening In Yaoundé: A Mixed Quantitative And Qualitative Study

Background: The weak participation of women to cervical cancer screening is a major obstacle to the fight against that disease. This work had as objective to determine associated factors to the lack of cervical cancer screening in women in Cameroon, a middle-income country of Central Africa.Methods: We conducted a cross-sectional analytic study both quantitative and qualitative on 1000 sexually active women aged 25 years old and above coming to the gynecology department of the Centre hospitalier de recherche et d’application en chirurgie endoscopique et reproduction humaine from March to December 2017. Results: The mean age of the studied women was 37.1 ±10.1 years old, among them 733 (73.3%) had never been screened. Associated factors to the absence of previous screening were : age lower than 35 years old (OR=5.0 ; 95% CI : 3.6 – 6.9), Islam (OR=3.3 ; 95% CI :1.6 – 6.7), unemployment (OR=2 ; 95% CI : 1.5-2.7) and bachelorhood (OR=1.5 ; 95% CI: 1.1 – 2.1). The main evoked barriers to screening were: fear of cancer, inadequate sensitization, the lack of screening prescription by the medical staff and ignorance about the usefulness of screening. Conclusion: It is important to diversify the means of communication on cervical cancer while focusing specifically on groups associated with the greatest lack of screening participation. Increased screening prescriptions by healthcare workers could also increase screening participation of women.
Detecting Depression Signs on Social Media: A Systematic Literature Review

Among mental health diseases, depression is one of the most severe, as it often leads to suicide; due to this, it is important to identify and summarize existing evidence concerning depression sign detection research on social media using the data provided by users. This review examines aspects of primary studies exploring depression detection from social media submissions (from 2016 to mid-2021). The search for primary studies was conducted in five digital libraries: ACM Digital Library, IEEE Xplore Digital Library, SpringerLink, Science Direct, and PubMed, as well as on the search engine Google Scholar to broaden the results. Extracting and synthesizing the data from each paper was the main activity of this work. Thirty-four primary studies were analyzed and evaluated. Twitter was the most studied social media for depression sign detection. Word embedding was the most prominent linguistic feature extraction method. Support vector machine (SVM) was the most used machine-learning algorithm. Similarly, the most popular computing tool was from Python libraries. Finally, cross-validation (CV) was the most common statistical analysis method used to evaluate the results obtained. Using social media along with computing tools and classification methods contributes to current efforts in public healthcare to detect signs of depression from sources close to patients.
Sustainable Management of Human Resources and Stakeholder Theory: A Review

Sustainable Human Resource Management aims to aggregate and assist in implementing sustainable strategies and improving engagement and relationships with all stakeholders. This systematic literature review aims to understand the concepts and the association of Sustainable Human Resource Management with Corporate Social Responsibility and Corporate Sustainability from the Stakeholder Theory perspective, using the Scopus database. We found an increase in research for Sustainable Human Resource Management, which is the evolution of Green Human Resource Management. SHRM is relevant to management approaches aimed at sustainability. It has a broad view of dimensions, being focused on its employees and the socio-environmental and economic impact of the organization, considering the organization’s relationship with all stakeholders.
Assessment of listing and categorisation of animal diseases within the framework of the Animal Health Law (Regulation (EU) No 2016/429): antimicrobial‐resistant Rhodococcus equi in horses

Abstract Rhodococcus equi (R. equi) was identified among the most relevant antimicrobial‐resistant (AMR) bacteria in the EU for horses in a previous scientific opinion. Thus, it has been assessed according to the criteria of the Animal Health Law (AHL), in particular criteria of Article 7 on disease profile and impacts, Article 5 on its eligibility to be listed, Annex IV for its categorisation according to disease prevention and control rules as in Article 9 and Article 8 for listing animal species related to the bacterium. The assessment has been performed following a methodology previously published. The outcome is the median of the probability ranges provided by the experts, which indicates whether each criterion is fulfilled (lower bound ≥ 66%) or not (upper bound ≤ 33%), or whether there is uncertainty about fulfilment. Reasoning points are reported for criteria with uncertain outcome. According to the assessment here performed, it is uncertain whether AMR R. equi can be considered eligible to be listed for Union intervention according to Article 5 of the AHL (10–66% probability). According to the criteria in Annex IV, for the purpose of categorisation related to the level of prevention and control as in Article 9 of the AHL, the AHAW Panel concluded that the bacterium does not meet the criteria in Sections 1 and 2 (Categories A and B; 5–10% and 10–33% probability of meeting the criteria, respectively), and the AHAW Panel is uncertain whether it meets the criteria in Sections 3, 4 and 5 (Categories C, D and E; 10–66% probability of meeting the criteria in all three categories). The animal species to be listed for AMR R. equi according to Article 8 criteria are mainly horses and other species belonging to the Perissodactyla and Artiodactyla orders.
FPSeq2Q: Fully Parameterized Sequence to Quantile Regression for Net-Load Forecasting With Uncertainty Estimates

The increased penetration of Renewable Energy Sources (RES) as part of a decentralized and distributed power system makes net-load forecasting a critical component in the planning and operation of power systems. However, compared to the transmission level, producing accurate short-term net-load forecasts at the distribution level is complex due to the small number of consumers. Moreover, owing to the stochastic nature of RES, it is necessary to quantify the uncertainty of the forecasted net-load at any given time, which is critical for the real-world decision process. This work presents parameterized deep quantile regression for short-term probabilistic net-load forecasting at the distribution level. To be precise, we use a Deep Neural Network (DNN) to learn both the quantile fractions and quantile values of the quantile function. Furthermore, we propose a scoring metric that reflects the trade-off between predictive uncertainty performance and forecast accuracy. We evaluate the proposed techniques on historical real-world data from a low-voltage distribution substation and further assess its robustness when applied in real-time. The experiment’s outcomes show that the resulting forecasts from our approach are well-calibrated and provide a desirable trade-off between forecasting accuracies and predictive uncertainty performance that are very robust even when applied in real-time.
Cell Behavioral Changes after the Application of Magneto-Mechanical Activation to Normal and Cancer Cells

In vitro cell exposure to nanoparticles, depending on the applied concentration, can help in the development of theranostic tools to better detect and treat human diseases. Recent studies have attempted to understand and exploit the impact of magnetic field-actuated internalized magnetic nanoparticles (MNPs) on the behavior of cancer cells. In this work, the viability rate of MNP’s-manipulated cancerous (MCF-7, MDA-MB-231) and non-cancerous (MCF-10A) cells was investigated in three different types of low-frequency magnetic fields: static, pulsed, and rotating field mode. In the non-cancerous cell line, the cell viability decreased mostly in cells with internalized MNPs and those treated with the pulsed field mode. In both cancer cell lines, the pulsed field mode was again the optimum magnetic field, which together with internalized MNPs caused a large decrease in cells’ viability (50–55% and 70% in MCF-7 and MDA-MB-231, respectively) while the static and rotating field modes maintained the viability at high levels. Finally, F-actin staining was used to observe the changes in the cytoskeleton and DAPI staining was performed to reveal the apoptotic alterations in cells’ nuclei before and after magneto-mechanical activation. Subsequently, reduced cell viability led to a loss of actin stress fibers and apoptotic nuclear changes in cancer cells subjected to MNPs triggered by a pulsed magnetic field.
Analysis of SQL Injection Attack

These days almost all information is online. To store such information one needs huge databases. Over a past few years a new type of cyber security threat has come into existence namely Structured Query Language (SQL) injection attack. The same can be launched by means of web browsers. Typical uses of SQL injection leak confidential information from a database, by-pass authentication logic, or add unauthorized accounts to a database. The severity of this attack can be judged from the fact that in seconds of its inception all critical information is routed to malicious user, thus causing a tremendous amount of loss in terms of authentication, data integration and privacy. As a result, the system could bear heavy loss in giving proper services to its users or it may face complete destruction. Sometimes such type of collapse of a system can threaten the existence of a company or a bank or an industry.
Seagrass restoration trials in tropical seagrass meadows of Kenya

The degradation of seagrasses is becoming prevalent in the Western Indian Ocean (WIO) region due to anchor damage, sea urchin herbivory, extreme events such as cyclones and floods and anthropogenic factors such as pollution and sediment inflows. Consequently, there have been numerous efforts to advance the restoration of degraded seagrass beds in several countries in the region. In Kenya, experimental restoration efforts were started in 2007 in response to seagrass habitat degradation due to sea urchin herbivory. Although the initial efforts experienced challenges, there were lessons learned which provided insights into subsequent restoration work using different techniques. In this paper, insights are provided into three types of restoration techniques; the sod technique, the seagrass mimic technique, and the Hessian bag technique. In the case of the sod technique, Thalassodendron ciliatum showed a decline from 20 ± 1.7 shoots sod-1 in the first three weeks to 7 ± 4.4 shoots sod-1 at the end of the experimental period of the study, while Thalassia hemprichii sods showed an increase from 28 ± 3.4 shoots sod-1 to 32 ± 2.7 shoots sod-1 over the same period. For the Hessian bag method, the expectation was that the pilot site would be filled with the transplanted seagrass species, Thalassia hemprichii, but the findings showed that different species including Halodule uninervis, Syringodium isoetifolium, Halophila stipulacea, Cymodocea rotundata, and Cymodocea serrulata colonized the area. This indicated that it was not possible to restore the area to its original status, but that the area could be rehabilitated. The costs of restoration have also been assessed as well as community participation in such initiatives. These findings provide insights for restoration efforts in Kenya and provide a baseline for future work.
Retinal Vascularization Abnormalities Studied by Optical Coherence Tomography Angiography (OCTA) in Type 2 Diabetic Patients with Moderate Diabetic Retinopathy

Diabetic retinopathy (DR) is the most severe and frequent retinal vascular disease that causes significant visual loss on a global scale. The purpose of our study was to evaluate retinal vascularization in the superficial capillary plexus (SCP), the deep capillary plexus (DCP) and the choriocapillaris (CC) and changes in the foveal avascular zone (FAZ) by optical tomography angiography (OCTA) in patients with type 2 diabetes mellitus (DM2) with moderate DR but without diabetic macular oedema (DME). Fifty-four eyes of DM2 with moderate DR (level 43 in the ETDRS scale) and without DME and 73 age-matched healthy eyes were evaluated using OCTA with swept-source (SS)-OCT to measure microvascularization changes in SCP, DCP, CC and the FAZ. The mean ages were 64.06 ± 11.98 and 60.79 ± 8.62 years in the DM2 and control groups, respectively. Visual acuity (VA) was lower in the DM2 patients (p = 0.001), OCTA showed changes in the SCP with a significant diminution in the vascular density and the FAZ area was significantly higher compared to healthy controls, with p < 0.001 at the SCP level. The most prevalent anatomical alterations were peripheral disruption in the SCP (83.3%), microaneurysms (MA) in the SCP and in the DCP (79.6% and 79.6%, respectively) and flow changes in the DCP (81.5%). A significant positive correlation was observed between the DM2 duration and the FAZ area in the SCP (0.304 with p = 0.025). A significant negative correlation was also found between age and CC central perfusion (p < 0.001). In summary, a decrease in the vascular density in DM2 patients with moderate DR without DME was observed, especially at the retinal SPC level. Furthermore, it was found that the FAZ was increased in the DM2 group in both retinal plexuses and was greater in the SCP group.
Selection of Requirement Elicitation Techniques: A Neural Network based Approach

Requirement Elicitation is key activity of requirement engineering and has a strong impact on design and other phases of software development life cycle. Poor requirement engineering practices lead to project failure. A sound requirement elicitation process is the foundation for the overall quality of software product. Due to criticality and high impact of this phase on overall success and failure of projects, it is very necessary to perform the requirements elicitation activities in a perfect and specific manner. The most difficult and demanding jobs during Requirement Elicitation phase is to select appropriate and specific technique from a wide array of techniques and tools. In this paper, a new approach is proposed using an artificial neural network for selection of requirement elicitation technique from a wide variety of tools and techniques that are available. The training of Neural Network is done by back propagation algorithm. The trained and resultant network can be used as a base for selection of requirement elicitation techniques. Keywords—Requirement elicitation; requirement engineering; neural network; back propagation
Liquid metal polymer composites: from printed stretchable circuits to soft actuators

Soft polymers embedded with liquid metals like eutectic gallium-indium (EGaIn) exhibit unique combinations of mechanical, electrical, and thermal properties that are not possible with other material systems. For example, a soft silicone elastomer embedded with a percolating network of EGaIn microdroplets can function as a highly soft and elastic conductor that can be stretched to 600% strain without significant change in electrical resistance. Depending on the choice of polymer matrix and EGaIn microstructure, these soft material composites can be engineered to exhibit mechanical and electrical self-healing properties as well as high fracture toughness and resistance to tearing. Moreover, when solid filler particles like silver flakes are added to EGaIn-polymer composites, they can function as printable conductive inks that are fully elastic, non-marking, and non-smearing when cured. In this short review, we present different classes of EGaIn-polymer composites, discuss approaches to materials synthesis and patterning, and compare their properties with other material systems. Additionally, we will review applications of this emerging class of materials in domains ranging from wearable bioelectronics to soft robotics, shape programmable smart materials, as well as energy storage and harvesting devices.
Torque increase by field-enhancing with constant load-angle control for SPMSM

There exists the problem of maximum torque limitation in the conventional control techniques for surface-mounted permanent magnet synchronous motor (SPMSM) ; thus,a novel direct torque control (DTC) scheme was proposed for missile wing load emulation system running in special conditions,with torque increase by field-enhancing and keeping a constant load-angle. The control scheme was theoreti-cally analyzed respectively through the space vector diagram and the characteristics of torque to load-an-gle. The current vector locus was given with the limitations of voltage-limit circle and current-limit circle. Meanwhile,the specific implementation of the control scheme was presented. The simulation results show that this control scheme has excellent dynamic response and can give a steady decuple output of rated torque on the premise of a certain stability margin. Therefore,the motor with small capacity and low iner-tia can be selected for the missile wing load emulation system,which can greatly weaken the negative im-pact of the inertia moment.
Electro-Optic beamforming in seamless wireless-to-photonic receiver arrays

This paper develops the theory behind electro-optic beamforming in seamless wireless-to-photonic receiver arrays. We show that the modulated phase of a traveling optical carrier signal in a wireless-to-photonic receiver array is governed by the direction of wireless reception, forming the basis for seamless electro-optic beamforming. We define a parameter referred to as the electro-optic array factor, which essentially governs the shape of the resultant electro-optic beam pattern. The analytical and physical interpretations behind maximas and nulls in seamless electro-optic beamforming are presented, and the design equations for controlling the electro-optic beam pattern are derived. In addition, the inadvertent nature of the presence of secondary electro-optic maximas is highlighted. Two distinct configurations of seamless electro-optic beamforming i.e. parallel-k and anti-parallel-k modes are introduced and compared. Further, a seamless electro-optic beamforming configuration that enables spatial-to-wavelength division multiplexing is proposed towards the end of the paper. The core theoretical contributions presented in this paper are crucial for further investigation and practical realization of seamless electro-optic beamforming in the next-generation communication systems like B5G and 6G.
INVESTIGATING THE RELATIONSHIP BETWEEN THE USE OF DOMESTIC RADIO AND THE LEVEL OF SOCIAL TRUST

This study studies the relationship between radio usage and social trust. We have considered trust in three types: interpersonal trust, general and institutional trust. The research method used in this research is the survey method that the research data was collected using a questionnaire in the field. Also, 383 samples were selected and operated by systematic cluster sampling. The results show that there is a significant relationship between radio usage and general trust. But there is no significant relationship between radio usage and institutional trust. The results showed that between the use of radio program significantly affects interpersonal trust. Examining the relationship between the use of different types of radio programs with the intermediate variables of the research shows that there is a significant relationship between the use of radio and the intermediate variables of generalism and the feeling of security. The results showed that there is a significant relationship between research mediating variables and the level of social trust in its types of trust. All research mediating variables have a significant relationship with institutional trust. Finally, it can be stated that the use of radio affects the level of social trust by directly affecting social trust and also by indirectly influencing through research interface variables.
The 14th International Conference of Students of Systematic Musicology (SysMus21)

The 14th International Conference of Students of Systematic Musicology (SysMus21) was held in a hybrid format that allowed both in-person and online participants to join. The SysMus conference series aims to foster a dynamic and interdisciplinary environment for students and early career researchers to share and discuss their work in the fields of systematic musicology and its related disciplines. This year at SysMus21, a total number of 26 oral and 35 poster presentations were held, covering a range of topics including well-being, data science, absorption and imagery, social connections, rhythm and groove, music information retrieval, sociology, cognition, and emotion. An introductory talk was given by Peter Vuust (Center for Music in the Brain, Aarhus University, Denmark), and two keynotes were presented by Jonna Vuoskoski (RITMO Center, University of Oslo, Norway) and Nori Jacoby (Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany). Additionally, four workshops were held by Caitlyn Trevor, Joshua Bamford, Niels Christian Hansen, and Svenja Reiner, focusing on research skills relevant for developing a career in academia. In this report, an overview of the conference is provided including a summary of keynotes, presentations, workshops, and social activities, as well as a review of the advantages and challenges of the hybrid set-up.
The effect of reticulocyte hemoglobin content on the diagnosis of iron deficiency anemia: A meta-analysis study

Background Iron deficiency anemia (IDA) is the most common type of anemia worldwide and has many adverse effects on life quality. This meta-analysis study aims to show that reticulocyte hemoglobin content (CHr) is more effective than routinely used parameters in the diagnosis of IDA. Methods Comprehensive and systematic research was done using international databases including PubMed, Web of Science, Cochrane Library, Science Direct, and Google Scholar, which contain all articles published on IDA until December 29, 2020. Seventeen articles were included in the meta-analysis. Results The analyses found the Cohen's deffect size (Standardized Mean Difference) values of the parameters. Accordingly, CHr is 2.84 (95% CI 2.36 to 3.31), mean corpus volume (MCV) is 2.46 (95% CI 1.97 to 2.95), ferritin is 2.37 (95% CI 1.63 to 3.11), and transferrin saturation (TSAT) is 3.76 (95% CI 2.14 to 5.38). To diagnose IDA, the sensitivity value of the CHr concentration was found as 83.5% (95% CI 76.1 to 89.8), specificity value to be 91.8% (95% CI 85.5 to 96.4), and mean cut-off value as 28.2 pg. Conclusions The results of our study reveal the findings that CHr is a better biomarker than MCV and ferritin used in determining IDA, and its efficacy is lower than TSAT. It is very important to use it routinely for the pre-diagnosis of IDA, which is very important for public health. The groups in the study are heterogeneous but contain bias. Therefore, meta-analyses of studies with less heterogeneity of CHr are needed.