Miracle-dz/UniFAR-FTUs huggingface dataset:
Recommender System for Telecommunication Industries: A Case of Zambia Telecoms

Recommender systems use machine learning algorithms and artificial intelligence techniques to recommend products to customers. These algorithms use historical data of purchases of other people to determine which products to recommend to a particular customer, in general recommender systems are designed in such a way that they automatically generate personalized suggestions of products to customers. With the competitiveness that is growing in the Zambian telecom industry as a result of the new fourth mobile telecom service provider, telecommunication operators are looking for ways of attracting and keeping their subscribers on their network by giving affordable products to their subscribers. This research paper describes a Recommender System for Telecommunication companies using call detail reports (CDR’s), machine learning algorithms and big data concepts.
Immunocytochemical Detection of GLUT2 at the Rat Intestinal Brush-border Membrane

We have proposed a new model of intestinal sugar absorption in which high sugar concentrations promote rapid insertion of the facilitative transporter GLUT2 into the brush-border membrane so that absorptive capacity is precisely regulated to match dietary intake during the assimilation of a meal. However, location of GLUT2 at the brush border by immunocytochemistry has been problematical. We report that control of rapid GLUT2 trafficking and the use of an antibody to a sequence within the large extracellular loop of GLUT2 permits localization of GLUT2 at the brush border. To reveal brush-border GLUT2 fully, it is necessary to digest the sugar chain at the glycosylation site close to the antigenic site. In this way, we have demonstrated by immunocytochemistry PKC-dependent changes in the regulation of brush-border GLUT2 in rat jejunum that correspond to those seen by Western blotting. The functional and immunocytochemical data are now reconciled.
Corporate Social Responsibility (CSR) Disclosure in Plantation & Consumer Products’ Industry in Pakistan

The paper enlightens the importance of the disclosure about CSR in Pakistan. Objectives of this study are dual and focus on the Plantation & Consumer Product’s industry in Pakistan. First objective of the study: to inspect the extent of CSR disclosure. Second objective of the study: to affirm that whether profitability, size of the firm and leverage have a relationship with the disclosure level of CSR. In data collection procedure, annual reports of the one hundred thirty eight firms of consumer product’s industries and forty eight Plantation companies listed in Pakistan are used. Content Analysis and Pearson chi-square techniques are used for data analysis. The results of current paper were not important for the consideration of higher management to improve the degree of the disclosure of CSR in Plantation & Consumer Products’ industry but also in the high interest of the companies to improve their CSR disclosure.
VIDEO ANALYTICS IN RETAIL ENVIRONMENT

This investigation for video analytics in a retail environment involved: Analyzing video feeds, provided by PrismSkyLabs, of a business day in a creamery. The analysis involved extraction of the foreground based on motion estimation/filtering and training of a person classifier based on images acquired from Google's search engine of people and common items found in a creamery. The motion based foreground estimator is based upon binary hypothesis testing with temporal filtering to discount transient motion as being mistaken for occupancy. Occupancy detection is accomplished by analyzing accumulated motion statistics. Upon occupancy declaration a k-NN classification algorithm is applied to classify potential occupancy by people or other items. The system model is based on a feature vector containing spatial coordinates , spatial change of illumination for each region of interest, as well as the Laplacian to detect edges. Rather than apply the conventional vector metric approach , our system focuses on region covariance matrices. A consequence of this fact, is that a proper metric is required to be able to compare distance between covari-ance matrices of regions. We employ a metric based on generalized eigenvalues of the covariance matrix. Two methods of validation were performed, (1) involved a leave part out cross validation approach in which the training dataset is randomly split into a new training set and a new query set. These two sets are then applied to the classification algorithm; and accuracy results are obtained. The same experiment was repeated ten times (10-fold cross-validation), the results of which were between 89% and 93% successful classification rate. (2)There is also an approach to validation based on the creamery videos, in which the entire training set is applied to the creamery video frames at the user determined regions of interest. The results of the real time validation ranged from 74.5% to 98.1% for motion analysis methods and 54.3% to 63.4% for region covariance methods.The analytics collected on the regions where people are identified are mainly the occupancy time. In conclusion, the proposed system performs fairly well but may be able to be improved by incorporating different features into the system model or applying a more mature classification system like a support vector machine or neural network.
Competitiveness of the EU poultry meat sector

EU poultry meat producers have to comply with legislation on environmental protection, animal welfare and food safety. This legislation has increased the production costs of poultry meat. At the same time the EU is negotiating with other countries or groups of countries to liberalise trade in agricultural products. This report examines how lowering import levies impacts the competitiveness of the EU poultry industry. The results show that the offer price of broiler breast fillet in 2011 of some third countries was already below the average EU price. Despite the current import levy on breast fillet, these third countries can be competitive in the EU market. In a scenario with 50% lower import levies and no additional levy, Brazil, Argentina, the USA, Ukraine and Thailand have a lower offer price for breast fillet than the EU poultry meat industry.
Humblebragging: A Distinct—and Ineffective—Self-Presentation Strategy

Self-presentation is a fundamental aspect of social life, with myriad critical outcomes dependent on others’ impressions. We identify and offer the first empirical investigation of a prevalent, yet understudied, self-presentation strategy: humblebragging. Across 9 studies, including a week-long diary study and a field experiment, we identify humblebragging—bragging masked by a complaint or humility—as a common, conceptually distinct, and ineffective form of self-presentation. We first document the ubiquity of humblebragging across several domains, from everyday life to social media. We then show that both forms of humblebragging—complaint-based or humility-based—are less effective than straightforward bragging, as they reduce liking, perceived competence, compliance with requests, and financial generosity. Despite being more common, complaint-based humblebrags are less effective than humility-based humblebrags, and are even less effective than simply complaining. We show that people choose to deploy humblebrags particularly when motivated to both elicit sympathy and impress others. Despite the belief that combining bragging with complaining or humility confers the benefits of each strategy, we find that humblebragging confers the benefits of neither, instead backfiring because it is seen as insincere.
On Information Asymmetry as a Source of Value: Intermediation, Auctions and Information

This paper models investment banking under information asymmetry, when the investors are unable to precisely value the newly issued shares. It provides a solution for the IPO underpricing puzzle. Under reasonably general conditions, we show that using investment banking under information asymmetry Pareto dominates raising venture capital under full information. In our model social welfare increases when investors are less precise in valuing the newly issued shares. Investors may use a portfolio of seasoned shares, with precise market prices, to span the risk and the return of the IPO shares. In order to compete with precisely valued investment opportunities, an investment banker underprices imprecisely valued newly issued shares. Thereby, an IPO generates additional wealth over raising venture capital that compensates the issuing firm for the IPO underpricing. We calculate a unique Nash equilibrium for a version of the bargaining model of Chatterjee and Samuelson (1983), with less restrictive assumptions and under a variety of information sets. In our model, the valuation of the bargainers is imprecise. We show that both the regulators and the intermediaries may optimally restrict access to full information in order to achieve a better allocation and to generate social wealth. In summary, asymmetric information and valuation imprecision may create wealth.
Implications of autonomy for the expressiveness of policy routing

Thousands of competing autonomous systems must cooperate with each other to provide global Internet connectivity. Each autonomous system (AS) encodes various economic, business, and performance decisions in its routing policy. The current interdomain routing system enables each AS to express policy using rankings that determine how each router in the AS chooses among different routes to a destination, and filters that determine which routes are hidden from each neighboring AS. Because the Internet is composed of many independent, competing networks, the interdomain routing system should provide autonomy, allowing network operators to set their rankings independently, and to have no constraints on allowed filters. This paper studies routing protocol stability under these conditions. We first demonstrate that "next-hop rankings," commonly used in practice, may not ensure routing stability. We then prove that, when providers can set rankings and filters autonomously, guaranteeing that the routing system will converge to a stable path assignment imposes strong restrictions on the rankings ASes are allowed to choose. We discuss the implications of these results for the future of interdomain routing.
An Occult Presentation of Appendicitis in a Patient with Tetraplegia

Zaremski JL, Jayawardena V, Lew HL: An occult presentation of appendicitis in a patient with tetraplegia.A 26-yr-old man with a C4 American Spinal Injury Association impairment scale B spinal cord injury was admitted due to a left calf pressure ulcer. The patient's initial laboratory results and physical examination findings were unremarkable, except for a stage IV pressure ulcer. On day 7, the patient developed fever and leukocytosis. A complete culture workup performed did not yield abnormalities. A computed tomography scan of the abdomen and pelvis revealed retrocecal appendicitis with a retrocecal abscess containing an appendicolith. The abscess was drained percutaneously, and the patient was given a 6-wk course of intravenous antibiotics. The patient returned to the hospital 30 days later for an appendectomy. Typical signs of appendicitis can be masked in patients with a spinal cord injury. It is crucial to include appendicitis in the differential diagnosis of this population, even though the presentation is as nonspecific as fever and leukocytosis.
Evaluation of the Drug Interaction Potential of Aplaviroc, a Novel Human Immunodeficiency Virus Entry Inhibitor, Using a Modified Cooperstown 5 + 1 Cocktail

Aplaviroc is a novel CCR5 antagonist, a class of compounds under investigation as viral entry inhibitors for the treatment of human immunodeficiency virus infection. A modified Cooperstown 5 +1 cocktail was used to assess the drug interaction potential of aplaviroc. Fifteen healthy subjects were administered single oral doses of caffeine (CYP1A2), warfarin (CYP2C9), omeprazole (CYP2C19), dextromethorphan (CYP2D6), and midazolam (CYP3A) alone (reference treatment) and during steady‐state administration of aplaviroc (400 mg every 12 hours, test treatment). Metabolite‐to‐parent area under the plasma concentration versus time curve (AUC) ratios (paraxanthine/caffeine and 5‐hydroxyomeprazole/omeprazole), oral clearance (S‐warfarin), AUC (midazolam), and metabolite‐to‐parent urinary excretion ratio (dextrorphan/dextromethorphan) were determined. The test‐to‐reference treatment ratios (geometric mean ratio and 90% confidence interval) were caffeine, 1.06 (0.97–1.17); S‐warfarin, 0.93 (0.76–1.15); omeprazole, 1.07 (0.98–1.16); dextromethorphan, 1.17 (0.97–1.42); midazolam, 1.30 (1.04–1.63). No significant inhibition of CYP1A2, CYP2C9, CYP2C19, or CYP2D6 enzyme activity was observed. Mild inhibition of CYP3A isozymes should not preclude the use of concomitant CYP3A substrates in future clinical studies with aplaviroc.
Personnel Management to Human Resource Management (HRM): How HRM Functions?

Any enterprise now a significant part of the world economy both in terms of trade and employment. The performance of a business organisation is in part dependent on the capability of its human resource. The knowledge and experience of employees is a source of competitive advantage, however, whether this is realised or not may depend on having the right human resource policies. Managers therefore seek to implement best practice, and in multinationals there is the potential for intra-organizational learning across national boundaries. The human being is the most important element in the development process and its ultimate goal. Attention to the management of human affairs and the effort to make man an effective contributing member in the development plans within organizations, is the responsibility of those working in the field of human resources management (HRM) which has become a distinguished field of management worldwide and plays an important role especially in the developing countries. This study discussed personnel management to Human Resource Management and how HRM Functions.
Classical and quantum Lovelock cosmology.

least for positive Lorentzian energy densities we show that this solution is uniquely determined by the rather natural physical requirement that the Euclidean solution is flat when we add no matter to the system. In these cases, the given classical solution can be interpreted in terms of perturbations to the corresponding Einstein solution. We also discuss the associated Wheeler-DeWitt equation and apply our results to the model with a cosmological constant and a massive scalar field model.
The impact of specially designed digital games-based learning in undergraduate pathology and medical education.

CONTEXT The rapid advances of computer technologies have created a new e-learner generation of "Homo-zappien" students that think and learn differently. Digital gaming is an effective, fun, active, and encouraging way of learning, providing immediate feedback and measurable process. Within the context of ongoing reforms in medical education, specially designed digital games, a form of active learning, are effective, complementary e-teaching/learning resources. OBJECTIVE To examine the effectiveness of the use of specially designed digital games for student satisfaction and for measurable academic improvement. DESIGN One hundred fourteen students registered in first-year pathology Medicine 102 had 8 of 16 lecture sessions reviewed in specially designed content-relevant digital games. Performance scores to relevant content sessions were analyzed at midterm and final examinations. Seventy-one students who registered in second-year pathology Medicine 202 were exposed to the games only during the final examination, with the midterm examination serving as an internal matched-control group. Outcome measures included performance at midterm and final examinations. Paired 2-tailed t test statistics compared means. A satisfaction survey questionnaire of yes or no responses analyzed student engagement and their perceptions to digital game-based learning. RESULTS Questions relevant to the game-play sessions had the highest success rate in both examinations among 114 first-year students. In the 71 second-year students, the examination scores at the end of the final examination were significantly higher than the scores on the midterm examination. Positive satisfaction survey noted increased student engagement, enhanced personal learning, and reduced student stress. CONCLUSIONS Specially constructed digital games-based learning in undergraduate pathology courses showed improved academic performance as measured by examination test scores with increased student satisfaction and engagement.
Identification of ARX models with noisy input and output

ARX (AutoRegressive models with eXogenous variables) are the simplest models within the equation error family but are endowed with many practical advantages concerning both their estimation and their predictive use. On the other hand the (implicit) assumption of noise-free inputs and of outputs affected by an additive colored noise whose spectrum is defined only by the model poles can be considered as non realistic when all measures are affected by additive errors. This paper considers the family of ARX + noise models that describe ARX processes whose measures are affected by additive white noise. The identification of these models is then mapped into the problem of identifying errors-in-variables models in the context of the Frisch scheme and a specific identification algorithm is described. A Monte Carlo simulation confirms the good results that can be obtained with the whole procedure.
Towards a hybrid semi-automatic technique for metamodel matching

During the last two decades the theory of model transformation has been extensively studied and subject of many research. So far, several transformation languages have been developed and implemented. Recently, a metamodel matching technique has been proposed in order to find mapping models that support the deduction of transformations definitions. The model matching aims at searching semantic similarity between models elements, and therefore, facilitating semi-automatic mapping generation. However, current model matching techniques mostly focus on some comparison criteria (i.e., pre-matching effort, input model, output model, quality measures values) while ignore others; in addition these techniques are used in isolation, so that their advantages and commons are not exploited. In this paper, we tackle these issues by proposing a new technique relying on combination of metamodels matching techniques. To reach our goal, schema and ontology matching techniques can be adapted to develop a hybrid technique for metamodel matching. This technique will produce better matching results increasing the mappings quality.
MANAGING SERVICE QUALITY IN THE CONTEXT OF HEALTH CARE SECTOR

Service quality and its dimensions are important for any organization in the modern era. Services plays a key role in empowering the customer satisfaction and loyalty for an organization. With respect to health care services, service quality is an important determinant of brand image creation of the hospitals. Since in the health care sector the key concern is improving the health condition of the patients it is crucial to manage effective service quality. Service delivery in the right time to the patients is very important. The delivery of right service quality is dependent on various factors. In this present study, an attempt is made to understand the presence of appropriate service quality with respect to hospitals in Chennai city. The data were statistically analyzed and interpreted through SPSS. Based on the findings of the study suitable recommendations were drawn.
Burden, depression, and anxiety in caregivers of people with amyotrophic lateral sclerosis

Amyotrophic lateral sclerosis (ALS) is a progressive and fatal neurodegenerative disease caused by the degeneration of motor neurons. The burden for ALS caregivers is quite high. There are still few studies that have investigated the emotional impact of ALS care. We conducted a cross-sectional study among 40 ALS caregivers, assessing general worries, burden of care, depression, anxiety, perception of social support, and patients' severity of disease. Caregiver burden, depression, and anxiety were positively related with each other, and all these variables had a negative relation with social support. Patient's loss of physical functions was positively related with caregiver burden, anxiety, and somatic expression of depression. Caregivers expressed worries for their own health conditions. Given these results, we consider the hypothesis of an emotional-somatic impact of ALS care. The implications and limitations are discussed.
Morphology of the intestinal arterioles in chronic human hypertension.

The nature of the increased vascular resistance in chronic hypertension has been the subject of much investigation and speculation. The evidence strongly suggests that this resistance is mainly at arteriolar level; hence the arterioles are often referred to as the resistance vessels. When hypertension was first recognized, it was thought that structural changes in the arterioles and capillaries might account for the increased resistance (Gull and Sutton, 1872), but these changes could not subsequently be confirmed. More recently, Folkow (1956) has suggested that medial hypertrophy might have the effect of narrowing the lumen; but so far as the author is aware, the existence of medial hypertrophy in the arterioles has never been established by actual measurements of the cross-sectional area of the wall, as Barrett (1963) did so elegantly in the case of the larger arteries. It has been clearly shown that the arteriolar wall/lumen ratio is increased in hypertension (Kernohan, Anderson, and Keith, 1929; Morlock, 1939), but this does not necessarily indicate an increase in the substance of the wall; it could be due to a decrease in diameter. Satisfactory measurements cannot be made on arterioles in ordinary histological preparations because the vessels are collapsed and contracted. Since they are collapsed, they appear flattened in cross-section instead of being circular, and this makes it impossible to obtain a valid measure of diameter. Because they are contracted-and contracted to varying degrees (MacWilliam and Mackie, 1908) as shown by differing degrees of undulation of the internal elastic lamina-the wall/lumen ratio is of limited significance. Both these difficulties can be overcome by distending the arterioles to such a degree that the internal elastic lamina
Modification of eating attitudes and behavior in adolescent girls: A controlled study.

OBJECTIVE The aim of this study was to evaluate the effectiveness of a school-based eating disorder prevention program designed to reduce dietary restraint and concern about shape and weight among adolescent girls. METHOD A total of 474 girls aged 13-14 years received the program as part of their normal school curriculum. An assessment-only control group included 386 pupils. Measures of eating disorder features, self-esteem, and knowledge were administered before and after the intervention and at 6-month follow-up. RESULTS Immediately following the intervention, there was a small reduction in dietary restraint and attitudes to shape and weight in the index group, whereas there was no change in the control group. This reduction was not maintained at 6-month follow-up although the dietary restraint scores of the index group remained lower than those of the control group. DISCUSSION This prevention program achieved change in eating attitudes and behavior, although the change was modest in size and not sustained. Focusing on a high-risk subgroup of dieters might be a more fruitful primary prevention strategy.