Miracle-dz/UniFAR-FTUs huggingface dataset:
An activity-based model for estimating manpower cost of university education

Higher education is regarded as a public good, recognized as forming vital social functions and disseminating knowledge. Of recent, the shortage of funds, the introduction of neo-liberal policies and globalization have contributed to rapid growth and a shift in emphasis to privatization of education. This appears a global trend. The cut in funding University coupled with increasing quest for university education have continued to stretch the dexterity of University administrators on quality. The university system has in recent years not been able to admit as it would have. In this work, an activity-based model was developed and used to estimate the manpower cost per student in a department offering engineering courses in a Nigerian University. This model was applied in 2003 and 2007. In 2003, 300 level courses had the highest cost. It was found that 200 and 300 levels attracted about 64% of the total cost. However, in 2007, 100 level courses recorded the highest costs, raising questions about the cost of borrowing courses from the servicing Faculty of Science, which provides about 80% of the borrowed courses. This work developed an activity based model for evaluating university manpower requirements and presented graduated stepped format for bridging gaps.
Velocity tracking control of a Two-Wheeled Inverted Pendulum robot: A comparative assessment between partial feedback linearization and LQR control schemes

A Two-Wheeled Inverted Pendulum (TWIP) mobile robot attracted the interest of researchers worldwide due to its nonlinear and unstable dynamics. Literature review shows that, most of the nonlinear controllers proposed for the TWIP mobile robot are based on dynamic model derived using Lagrange approach. Thus, this paper shows the study of the TWIP mobile robot using Kane's method. The paper investigates and compares the performance of nonlinear (partial feedback linearization (PFL)) and linear (linear quadratic regulator (LQR)) control schemes in controlling a TWIP mobile robot. The nonlinear dynamical equations of the TWIP mobile robot were first derived using Kane's Method. The dynamical equations were then linearized around an operating point. Two controllers were designed for the TWIP mobile robot. The first controller is partial feedback linearization (PFL), while the second controller is linear quadratic regulator (LQR). The performance of the two controllers was compared in terms of reference command tracking and parameter variation via simulations.
New and emerging concepts and therapies for the treatment of food allergy

Abstract Food allergy is an increasingly common disease that often starts in early childhood and lasts throughout life. Self-reported food allergy has risen at a rate of 1.2% per decade since 1988, and by 2018, the prevalence of food allergy in the United States was estimated to be 8% in children and 11% in adults. - This prevalence has led to an economic burden of almost $25 billion annually. Despite these staggering statistics, as of the time of this writing, the Food and Drug Administration (FDA) has only approved one treatment for food allergy, which is limited to use in children with peanut allergy. Fortunately, a new horizon of therapeutic interventions, in all stages of development, lay ahead and hold promise for the near future.
Maximising power yield in a transformerless single-phase grid connected inverter servicing two separate photovoltaic panels

A single-phase grid connected transformerless inverter for solar photovoltaic (PV) systems is presented in this study. This inverter has the capability to extract maximum power from two separate PV panels operating under equal as well as mismatched meteorological conditions. The proposed inverter is based on the buck–boost principle, and hence, can tolerate a wide variation of voltage in both the PV panels. Further, due to the neutral point clamped structure of the inverter the neutral/ground terminal of grid is directly connected at the midpoint of two PV panels. This eliminates the flow of leakage current through the parasitic capacitances existing between the PV panels and the ground. The proposed inverter requires six switches and is free from shoot-through fault. This inverter does not require sensing of grid current for its operation. The principle of operation of the inverter is presented. The control strategy devised for the inverter is provided. The theoretical analysis is supported through detailed simulation studies carried out on Matlab/Simulink platform. Exhaustive experimental results obtained from a scaled down laboratory prototype developed for the inverter are presented to confirm the validity of the scheme.
Multiplicação in vitro de Ziziphus joazeiro

O Ziziphus joazeiro Mart (Rhamnaceae) é uma espécie endêmica da Caatinga, conhecida popularmente como juazeiro, juá e laranjeira-de-vaqueiros. A espécie é utilizada na fabricação de cosméticos, xampus anticaspa e creme dental (LORENZI & MATOS, 2002). Nos períodos de seca é principalmente utilizada na alimentação de animais, sendo também utilizada no tratamento de gastrites, gripes, contusões e ferimentos (LIMA, 2000).
Predicting Future Retweet Counts in a Microblog

This paper proposes an effective approach to popularity prediction of tweets in a microblog, as indicated by how many times they are retweeted. It is the first attempt that we know of to predict exact retweet counts in this context. Timely prediction of retweet counts is helpful in picking out high-quality tweets from massive collections of user-generated content, which can be used to solve the information overload problem for users. It is also valuable to several other practical applications in microblogs, such as hot topic analysis, microblog search and recommendation, microblog marketing, etc. We first investigate a number of features which can indicate the potential popularity of tweets, particularly some novel nonsemantic features derived from analysis of users’ retweeting behavior. Based on these features, we propose kSAIT, top-k Similar Author-Identical historic Tweets, which is essentially a parameterized k-nearestneighbor method to tackle the prediction problem. Extensive experiments are conducted on a real data set from Tencent Weibo 1 , a microblogging service which has over 200 million users in China. The results of performance evaluation show that the proposed approach represents a significant improvement over baseline methods.
Molecularly Imprinted Polymers for the Detection of Chlorpyrifos (an Organophosphate Pesticide)

Chlorpyrifos belongs to an organophosphate pesticides group that is frequently used to increase the yield of crops by controlling plant and pests-related diseases. Chlorpyrifos contaminates the environment and cause diseases to the human population. Molecularly imprinting technology lead to the development of molecularly imprinted polymers having templated oriented cavities with high selectivity, sensitivity, stability, and portability. Our review article aims to provide a collective study related to pesticides detection through molecularly imprinted polymers with existed constraints and necessary potential facets are discussed.
LED backlight for large area LCD TV's

A >30” direct backlight has been developed using Luxeon side-emitters from Lumileds. An excellent front of screen (FOS) performance was achieved, by using a mixing chamber within the thin backlight. The light source in the backlight was made up of red, blue and green high power side-emitters on a metal core printed circuit board (MCPCB). This paper describes the key attributes of the backlight that makes it possible to achieve excellent front of screen performance from a “Luxeon Direct” light source. INTRODUCTION LEDs provide many benefits as a light source for backlights as outlined in papers [1,2]. The results presented in these papers discuss edge-lighting solutions. These solutions have some disadvantages, especially for the LCD-TV market. For large displays the light-guide is very heavy, can be expensive due to optical quality, and can be inefficient as acrylic has an absorption of approximately 1% per inch for the mean free path. The direct backlight design addresses many of the concerns mentioned above. In greater detail the merits of “Luxeon direct” can be reviewed in a paper based on a 22” direct backlight [3]. The key factors for improvement were LED efficacy and color mixing. These two factors can in turn, positively impact many other attributes such as improved color uniformity, reduced power, reduced thickness, lower operating temperature, higher brightness, and reduced LED content. Since then many advances have taken place that allow the benefits mentioned above. Lm/W for high power LEDs is continuing to make significant advances in the InGaN technology and modest improvements in the AlInGaP. This has allowed an improvement in the white Lm/W at 25oC from 33 to 37, with select LEDs. Also an integrated thermal design minimizes the backlight operating temperature, maximizes the Lm/W of the LEDs at elevated temperatures, and reduces the likelihood of brightness enhancement films wrinkling under cyclic heating. Color mixing has significantly improved with an increased understanding of the design and function of the direct backlight concept. Most of these changes have come in the form of improved control over the optical surfaces, and a better understanding of the distribution of flux and color over the “Luxeon Direct” source. This paper discusses direct backlights that are greater than 30” and have a depth of about 50mm. DESIGN The high power LuxeonTM side-emitter shown below was integrated into the design. The planar radiation pattern of the device improves color mixing between the discrete LEDs by providing a large luminance distribution on the screen when coupled to a shallow reflective cavity.
Impact time and angle constrained guidance via range‐based line‐of‐sight shaping

In this article, impact time and angle constrained guidance law is proposed using a range‐based line‐of‐sight (LOS) shaping strategy. The relative motion of missile and target is described in a polar coordinate, where the LOS angle can be shaped as a polynomial function of range‐to‐go. The order of the polynomial function is selected according to the number of constraints. Coefficients of the polynomial function are determined by the boundary conditions and solved through a simple integral equation, which facilitates the onboard implementation. Guidance command is designed in a state feedback form to track the shaped trajectory. The proposed guidance law shows some advantages over several similar polynomial shaping based guidance laws. Multiple simulation studies demonstrate the effectiveness of the proposed guidance law.
Mobile Robot Navigation Using Artificial Landmarks.

In this paper, we discuss how to navigate a mobile robot along any paths in a certain environment. We realize it by supporting self-positioning ability of the robot using artificial landmarks. We propose a method to dispose artificial landmarks in the environment, and to navigate a mobile robot there. We dispose the landmarks so that the robot can observe at least one landmark at any positions in its working area. We consider the requirement for observing a landmark, and the robot plans the observation so that the requirement is fulfilled at all times. Through the navigation experiment using a real robot, the effectiveness of the proposed method is confirmed.
Supply Chain Management: From Operational to Strategic From the Strategically Decoupled/Price-Driven to Strategically Coupled/Value-Driven Supply Chain

Supply chain management is undergoing a sea change. Increasingly, we are seeing evidence in the experiences of companies such as Unilever, Coca-Cola, PG (2) being outcome-driven, rather than output-driven; (3) recognizing the need for blended outcomes; (4) manage the metrics; and, (5) building linkages to the top. The paper and SAPICS conference presentation illustrate this approach by using videos and other examples to illustrate the points raised. We conclude with an example of this approach being applied to a company as well as presenting some guidelines for management. Ultimately, non-strategic supply chains should be viewed as symptoms of incorrectly or incompletely executed business model planning and execution processes.
Underrepresentation of Women at Academic Excellence and Position of Power: Role of Harassment and Glass Ceiling

The study intends to comprehend the underrepresentation of women on positions of power and academic excellence in academia. The study explained the role of exploitation and harassment, which might hinder, when women were trying to climb to top hierarchical position. The majority of women supervised by male heads, sexual harassment could be used as a glass ceiling to hamper women to reach top hierarchal level. The majority participants were working on lower academic and administrative hierarchy; they were experiencing harassment throughout the hierarchical level. Similarly, they considered that harassment could contribute to the underrepresentation of women at academic excellence and a position of power.
The Role of Cytokines in Nephrotic Syndrome

Idiopathic nephrotic syndrome (INS) is an important primary glomerular disease characterized by severe proteinuria. Evidence supports a role for T cell dysfunction in the pathogenesis of INS. Glucocorticoids are the primary therapy for INS; however, steroid-resistant NS (SRNS) patients are at a higher risk of drug-induced side effects and harbor poor prognosis. Although the exact mechanism of the resistance is unknown, the imbalances of T helper subtype 1 (Th1), Th2, and regulatory T cells (Tregs) and their cytokines may be involved in the pathogenesis of glucocorticoid responsiveness. Up to now, no confirmed biomarkers have been able to predict SRNS; however, a panel of cytokines may predict responsiveness and identify SRNS patients. Thus, the introduction of distinctive cytokines as novel biomarkers of SRNS enables both preventions of drug-related toxicity and earlier switch to more effective therapies. This review highlights the impacts of T cell population imbalances and their downstream cytokines on response to glucocorticoid responsiveness state in INS.
mTBI-Induced Systemic Vascular Dysfunction in a Mouse mTBI Model

Mild traumatic brain injury (mTBI) without skull fracturing is the most common occurrence of all TBIs and is considered as a serious public health concern. Animal models of mTBI are essential to investigation of TBI and its effects. In the current study, we developed and characterized a reproducible mouse model of mild TBI, meanwhile, the effects of this mTBI model, as well as repetitive mTBIs (rmTBIs), on the endothelial function of mouse aortas were also studied. In variety of closed-head models of mTBI, impact velocity, weight, and dwell time are the main parameters that affect the severities of injury. Here, we used a device, converting parameters of velocity, tip weight, and dwell time into impact force, to develop a mouse model of close-head mTBI. Mice were subjected to a mild TBI induced by the impact forces of 500, 600, 700 and 800 kdyn, respectively. Later, brain injuries were assessed histologically and molecularly. Systemic and brain inflammation were measured by plasma cytokine assay and glial fibrillary acidic protein (GFAP) staining. The composite neurobehavioral test revealed significant acute functional deficits in mice after mTBI, corresponding to the degree of injury. Mice brain undergoing mTBI had significant elevated GFAP staining. Plasma cytokines interleukin-1β (IL-1β) and superoxide dismutase (SOD) were significantly increased within 2 h after mTBI. Taken together, these data suggest that the mTBI mouse model introduce within our study exhibits good repeatability and comparable pathological characters. Moreover, we used this mTBI mouse model to determine the effect of single or rmTBIs on systemic vasoconstriction and relaxation. The isometric-tension results indicate that rmTBIs induce a pronounced and long-lasting endothelial dysfunction in mouse aorta.
Detection of Bubbles in Tehran Stock Exchange Using Log-Periodic Power-Low Singularity Model

One of the essential factors that lead to severe disruptions in financial markets is price bubbles and subsequent crashes. Numerous models for detecting bubbles have been developed, one of which (LPPLS) has lately attracted considerable interest. This study aims to utilize this model to detect price bubbles in Tehran Stock Exchange's index (TEDPIX). Confidence multi-scale indicators for this model are presented by fitting the LPPLS model to the data of the TSE index from 2009 through 2020. The bubble is detected when the number of fits that are in our filter conditions increases which means the growth of the indicator's value. By applying this method on TSE data two significant crashes in 2013 and 2020 are detected. The proposed technique can be useful for market participants to detect financial crashes and bubbles.
S-Adenosylmethionine, a Promising Antitumor Agent in Oral and Laryngeal Cancer

Squamous cell carcinoma of the head and neck (HNSCC), which includes cancers of the oral cavity and larynx, is one of the most common and highly aggressive malignancies worldwide, despite significant efforts committed in recent decades in its detection, prevention, and treatment. The intrinsic or acquired drug resistance during treatment is the main limitation to chemotherapy, increasing mortality and cancer recurrence. Therefore, there is a growing scientific interest in identifying and developing adjuvant chemotherapies able to improve currently available treatments. S-Adenosylmethionine (AdoMet), a safe and nontoxic natural cofactor with pleiotropic effects on multiple cellular processes and the main biological methyl donor in transmethylation reactions, has been considerably studied as a therapeutic compound. Its application, alone or in combination with other drugs, is emerging as a potentially effective strategy for cancer treatment and for chemoprevention. This review summarizes the structural, pharmacological, and clinical aspects of AdoMet and provides an overview of the recent results highlighting its anticancer activity in the treatment of oral and laryngeal cancer, with particular emphasis on its molecular mechanisms and the promising chemoprotective and synergistic effects exerted in combination with cisplatin and specific microRNAs.
Practice of TEM tunnel prediction in Tsingtao subsea tunnel

Summary Introduce the TEM tunnel prediction and its application in Tsingtao subsea tunnel. Give an introduction about the apparent longitudinal quadratic differential conductance imaging method. It has the characteristic of more sensitivity to geological surfaces. Finally, give a field test case of TEM prediction in Tsingtao subsea tunnel. The result forecast two water bearing structure ahead of the tunnel face successfully.
Nonhuman Actors, Hybrid Networks, and Conflicts Over Municipal Waste Incinerators

This article seeks to make an original contribution to the study of environmental conflicts on waste management infrastructures by applying concepts derived from actor-network theory in an empirical case study. The article is organized into three main parts. The first highlights how the bulk of the literature on the subject has systematically ignored the role of natural/material factors. The second part analyzes the theoretical and methodological contribution of actor-network theory to the analysis of environmental conflicts. Finally, the third part focuses on a case study from northern Italy concerning a conflict over a project for a large-scale municipal waste-to-energy incinerator. The author shows how the outcome of the conflict, namely the failure of the project notwithstanding a convergence of powerful interests, can only be fully understood by adopting a relational definition of agency that sees it as the effect of the process of building associations between humans and nonhumans.
Detection and tracking of multiple moving targets in complex conditions

Detection and tracking of multiple moving targets in complex conditions has always been a hot and difficult problem, which mainly includes that the tracked target is occluded, the characteristics of target and background are similar, illumination and background are changing over time, etc. In order to solve this problem, a method of multiple moving targets detection and tracking is proposed in this paper, which can be applied to complex conditions. In the aspect of target detection, on the basis of mixed multi-scales and deformable model, we have proposed scene constraint and the target own property to reduce the potential areas of targets and search scope and to filter interference object, which has improved the efficiency of detection algorithm greatly. In the aspect of target tracking, we use global motion estimation to modify motion model of tracking algorithm, at the same time, propose an improved particle filter algorithm which has introduced reversibility-jump mechanism and joined MCMC improvement strategy. By building the observation model with the color histogram of target RGB, it can track the moving targets in different conditions accurately. The experimental results show that the method proposed in this paper can accurately track the multiple moving targets in complex conditions, and the effect is significant.
Framing Feminicides—A Quantitative Content Analysis of News Stories in Four Colombian Newspapers

Colombia is marked by high levels of gender-based violence. In 2020, 630 women were murdered because of their gender. The number of these feminicides increased under the coronavirus lockdown that began in March 2020. Although the news media play a crucial role in shaping the public’s notion of feminicides, empirical studies on the media’s portrayal of feminicides in Colombia are scarce. The present study involved a quantitative content analysis of articles published in four Colombian newspapers to determine how they reported on feminicides from August 2019 to July 2020 (sample size: 139 articles, comprising 1798 paragraphs). The period under investigation allowed for a comparison of news coverage before and during the lockdown. By means of hierarchical cluster analysis, we identified four frames: “gender-based inequalities and discrimination against women”, “perpetrators in front of the court”, “prehistory and course of events of the feminicide”, and “reactions of neighbors, eyewitnesses, and villagers to the feminicide”. Our findings suggest that the four newspapers under investigation paint rather similar pictures of feminicides. We also found that the date an article was published in relation to the COVID-19 quarantine had little influence on the frequency at which the clusters appeared.