Miracle-dz/UniFAR-FTUs huggingface dataset:
The Purpose of Capstone in an Entry-level Clinical Doctorate: A Scoping Review

Abstract This scoping review examined outcomes of capstones in relation to entry-level doctoral education programs within the health professions. Aims of the study included mapping existing evidence related to capstone across entry-level clinical doctorates; investigating the purpose of capstones within health professions education; and identifying future research initiatives. Researchers applied and reported via the PRISMA Extension for Scoping Reviews systematic approach, and Best Evidence Medical Education global scale. The study indicated a gap in existing literature. Few health professions described requirements for capstones as part of an entry-level doctorate. Reviewed articles offered no consistent definition, intent, process, or outcome for capstones. The majority of publications documented Kirkpatrick Level 2a educational outcomes, modification of learner attitudes and perceptions. No publications documented Level 3, 4a, or 4b educational outcomes reporting student behavioral change, change in organizational practice, or direct improvement to the health and well-being of patients or clients. The researchers recommend additional evidence-based educational research to expand the body of evidence related to the capstone.
Integration of Learning Management System (LMS) into Teaching and Learning: A Synergy for Improving Students Learning Outcome in Tertiary Institutions in Delta State Nigeria

The advents of Computer and Information Technology (ICT), development of the internet web have re-defined and extend nations` educational landscape. The advancement in ICT have led to the birth of innovative e-learning resource platforms such as Learning Management System (LMS), which enable teaching and learning to be furthered and continued at home after the conventional school hours. This study therefore investigated the integration of Learning Management System (LMS) into teaching and learning: a synergy for improving students learning outcome in tertiary institutions in Delta state, Nigeria. The study used the descriptive survey research design. Three objectives, research questions and hypotheses were formulated and tested at 0.05 alpha significant levels. The population of the study comprised of 45000 public university undergraduate regular, post graduate (M.Sc. and PhD) students. The sample size used was 396 public universities students drawn from Federal University of Petroleum Resources Effrun (FUPRE) and Delta state university, Abraka, Nigeria. The instrument used for data collection was LMSSQ (Learning Management System Structured Questionnaire) which had fifteen items. The data collected was analyzed using mean, standard deviation and Analysis Of Variance (ANOVA). The study found out there is little or no use of learning management system in delivery of learning contents in teaching and learning process that, universities do not make use of LMS in assessment of their student; and thus, leading to a steady decline in students` learning outcome among the public universities in Delta state. Therefore, the researchers recommend the integration of LMS into university pedagogical activities, in order for students have a holistic and an improved, learning outcome.
Communicative skills as a result of successful intelligence

The current work began with the observation of the needs of high school students and their constant concern for the level of their development in communication skills according to the social standards of their context. Two instruments were used: The Sternberg (adapted) questionnaire (STAT), which evaluates the successful intelligence of students, where systematized quantitative information is collected as well as the teacher’s observation card to the student, for the qualitative information of the three categories of communication skills. The design is of a mixed type. Several reference works were considered in order to contrast and triangulate according to experts’ opinions.
Deep Anomaly Detection with Ensemble-Based Active Learning

Many anomaly detection solutions are domain specific, which requires assumptions and knowledge on the data and problem before a project starts. Often, finding the best single model to use creates a long development cycle. In addition, existing unsupervised anomaly detection models, although they do not depend on the existence of labels to start training, can suffer from high false positive rates, and it is difficult to incorporate human experts’ feedback. In this paper, we introduce a domain-agonistic, end-to-end, ensemble-based deep active learning framework for anomaly detection. By leveraging unsupervised and semi-supervised anomaly detection models, our framework does not rely on labeled data to start training. By using active learning, our framework incorporates human feedback in the workflow to reduce false positive rates, which is essential in many real-world applications. In addition, we use a neural network to ensemble various anomaly detectors for further performance improvement and leverage a reference score generator to enable an intuitive explanation of anomaly scores. Our framework showed better performance characteristics during experiments than the benchmarks using data across different domains.
Untersuchungen zur Temperaturabhängigkeit der Eigenschaften von Elektrolytlösungen II. Bestimmung der Leitfähigkeit über einen großen Temperaturbereich

Es wird eine Mesanordnung zur genauen Bestimmung (Prazision: 0,01%, Genauigkeit: 0,02%) der Temperatur- und Konzentrations-abhangigkeit der Elektrolytleitfahigkeit uber einen grosen Temperaturbereich (ΔT > 100 K) beschrieben. Mittels einer Methode isologer Schnitte werden A-c-T-Diagramme von Elektrolytlosungen erstellt, aus denen die Koeffizienten Λx, J1 und J2 der vollstandigen Leitfahigkeitsgleichung und der Assoziationsgrad (1 - α) der Elektrolyte gewonnen werden. Die Auswertung der Bestimmungsgrosen J1 = J1 (R1), J2 = J2 (R2) und α = α (R) liefern Abstandsparameter, R1 = R2 = R, mit denen sich Aussagen uber die kurzreichenden Ion-Ion- und Ion-Losungsmittel-Wechselwirkungen in der Losung machen lassen. Specially designed measuring equipment is described which permits the precise determination (precision: 0.01%, accuracy: 0.02%) of electrolyte conductance as a function of concentration over a large temperature range (ΔT > 100 K) under an inert gas atmosphere. A method of isologuous sections yields a precise evaluation of the Λ -c-T-diagram. From these data the coefficients Λ x, J1 and J2 of the complete conductance equation as well as the degree of electrolyte association (1 - α) are obtained by appropriate methods of data analysis. J1 = J1(R1), J2 = J2(R2), and α = α(R) yield consistent distance parameters, R1 = R2 = R, which take into account short range ion-ion and ion-solvent interactions.
Specific Gravity, RVP, Octane Number, and Saturates, Olefins, and Aromatics Fractional Composition of Gasoline and Petroleum Fractions by Neural Network Algorithms

An accurate method for estimation of the properties of petroleum fractions based on their ASTM D86 distillation profile is developed using a set of conventional feed forward single layer neural networks algorithms. Results on 362 gasoline and petroleum fuels show that the proposed method outperforms other alternatives in terms of accuracy, simplicity, and generality with overall correlation coefficients 0.995 for research octane number, 0.994 for motor octane number, 0.995 for Reid vapor pressure, 0.9996 for specific gravity, and 0.994 for saturates 0.992 for olefins and 0.998 for aromatics fractional compositions. The model is suitable for incorporation into ASTM D86 test apparatus to predict the properties of petroleum fractions in a single test, resulting in savings in terms of space, time, energy, and cost.
Wireless Networked Multirobot Systems in Smart Factories

Smart manufacturing based on artificial intelligence and information communication technology will become the main contributor to the digital economy of the upcoming decades. In order to execute flexible production, smart manufacturing must holistically integrate wireless networking, computing, and automatic control technologies. This article discusses the challenges of this complex system engineering from a wireless networking perspective. Starting from enabling flexible reconfiguration of a smart factory, we discuss existing wireless technology and the trends of wireless networking evolution to facilitate multirobot smart factories. Furthermore, the special sequential decision-making of a multirobot manufacturing system is examined. Social learning can be used to extend the resilience of precision operation in a multirobot system by taking network topology into consideration, which also introduces a new vision for the cybersecurity of smart factories. A summary of highlights of technological opportunities for holistic facilitation of wireless networked multirobot smart factories rounds off this article.
Occupancy and population density estimates of the Amazonian manatee in eastern Ecuador

The Amazonian manatee Trichechus inunguis has been categorized as Vulnerable by the IUCN. There have been few studies on the species in its natural habitats due to its elusive nature and the low visibility of its aquatic habitats. Understanding the conservation status of Amazonian manatees, as well as any changes in their population trends and direct threats, is the basis for their management and conservation. Our study was carried out in 2 localities of the Ecuadorian Amazon (Tambococha-Jatuncocha and the Lagarto River), in the provinces of Sucumbíos and Orellana. We surveyed Amazonian manatees along rivers and in lagoons, using fish finder sidescan sonar to increase detectability rates. We estimated encounter rates, population density and occupancy. With a sampling effort of 573 km, we obtained an average encounter rate of 0.90 records 10 km−1 and estimated a population density of 1.09 and 0.94 ind. km−2 in TambocochaJatuncocha and the Lagarto River, respectively. In addition, occupancy rates varied between 0.51 and 0.57, and presence and distribution of the species were associated with distance to humans. The Amazonian manatee population estimates presented here represent a baseline for future research, and additional surveys will be needed to understand population fluctuations over time. An evaluation of population viability in Tambococha-Jatuncocha and the Lagarto River would also be required to determine whether these populations will be able to persist over the long term under different deterministic and stochastic scenarios.
ENDOCRINE DISRUPTION: A CRITICAL REVIEW OF ENVIRONMENTAL ESTROGENS FROM A MECHANISTIC PERSPECTIVE

With the aid of such systems as the E-screen assay (MCF-7 human breast cancer cells) and/or estrogen receptor (ER) binding assays, estrogenic activity has been identied in a wide variety of nonsteroidal substances, such as polychlorobiphenyls, alkylphenols, bisphenols, pesticides (e.g., DDT derivatives, methoxychlor, kepone), pharmaceutical agents (e.g., diethylstilbestrol [DES], tamoxifen, raloxifene), and phytoestrogens. With few exceptions (notably DES), most xenoestrogens show weak estrogenic and ER binding activity (e.g., 1/1000 to 1/1,000,000 that of the endogenous hormone, estradiol). A series of observations and episodes, some controversial, have led to the perception that endocrine disruption via hormonally active environmental substances is a hazard to wildlife and humans. As a result of Congressional legislation, the U.S. Environmental Protection Agency (EPA) formed the Endocrine Disruptor Screening and Testing Advisory Committee (EDSTAC) to develop and implement a multitiered program for the screening and testing of potentially 87,000 chemicals and mixtures for hormonal (primarily estrogenic) activity and endocrine disruptive effects. This review explores the issue of xenoestrogens from a mechanistic perspective. Many nonsteroidal substances can interact with the ligand binding domain of the ER, albeit weakly, because they share characteristics common to both estradiol and DES, these being a ring structure (preferably unencumbered phenolic) along with a hydrophobic center. However, ER binding does not explain the nature of the biological response. As exemplied by a diversity of estrogenic and antiestrogenic effects exhibited by estradiol, tamoxifen, and raloxifene and by the antiestrogenic effect of DDT in the tiger salamander, different ER ligands evoke distinct response proles that appear to be inuenced by the target tissue and species. These distinct proles are determined by the ligand itself and the diversity of ER isoforms (® or ̄), response elements, and individual coregulatory proteins that associate with ER. Endocrine disruption may also be inuenced by the role of plasma binding on the delivery of xenoestrogens to cells, chirality of xenoestrogens, cross-talk between ER signaling and other signaling systems (e.g., aryl hydrocarbon receptor), and alternate mechanisms (e.g., antiandrogen effects). In view of the complexities pertaining to mechanisms of action of xenoestrogens and knowledge yet to be obtained in this area, it would appear that the screening and testing approach undertaken by EDSTAC is premature at this time.
Biochemically Relevant Complexes of Copper: Synthesis, Magnetic and Spectral Studies of Some Mixed-Ligand Chelates of Bis(O-Hydroxyacetophenonato)Copper(II) with Benzothiazole and Related Ligands

Abstract A series of novel mixed-ligand complexes of copper(II) of the compositions [Cu(o-haph)2(L)2], where o-haphH - o-hydroxp-acetophenone ard L - benzothiazole, 2-methylbenzothiazole, 2-(2′-hydroxyphenyl)benzothiazole, 2-(2′-tolyl)benzothiazole or 2-(3′-tolyl)benzothiazole, and [Cu(o-haph)2(AMBZT)], where AMBZT = 2-aminobenzothiazole, have been prepared by the interaction of [Cu(o-haph)2]. H20 With the ligands. The compounds so obtained were characterized by analytical data, molar conductances, magnetic measurements, electron paramagnetic resonance and infrared spectrel studies. Suitable octahedral structures have been proposed for these complexes.
Effect of Operating Temperature on Water-Based Oil Sands Processing

Operating temperature is one of the most important controlling parameters in oil sands processing. Considering the massive energy consumption and green house gas emission, lowering the processing temperature is highly desirable. To achieve such an ambitious goal requires a comprehensive understanding on the role of temperature in oil sands processing. This paper provides an overview of major findings from existing studies related to oil sands processing temperature. The relation between temperature and bitumen recovery is discussed. The effect of temperature on the physiochemical properties of oil sand components, such as bitumen viscosity, bitumen surface tension and surface potentials of bitumen and solids, is analyzed. The interactions between bitumen and solids and between bitumen and gas bubbles as a function of temperature are recounted. Also discussed is the role of chemical additives in oil sand processing. It has been found that temperature affects nearly all properties of oil sands among which bitumen viscosity and bitumen-solids adhesion impose a prominent impact on bitumen recovery. The use of selected chemical additives can reduce bitumen viscosity and/or the bitumen-solids adhesion, and thus provide a possible way to process oil sands at a low temperature while maintaining a high bitumen recovery. La temperature de fonctionnement est l'un des plus importants parametres de controle dans le traitement des sables bitumineux. Considerant la consommation massive d'energie et les emissions de gaz a effet de serre, il est hautement souhaitable d'abaisser la temperature des procedes. Pour atteindre un objectif si ambitieux, il est necessaire de bien comprendre le role de la temperature dans le traitement des sables bitumineux. Cet article donne un apercu des principales decouvertes des etudes existantes ayant trait a la temperature dans le traitement des sables bitumineux. La relation entre la temperature et la recuperation de bitume est analysee. On examine egalement l'effet de la temperature sur les proprietes physiochimiques des composantes des sables bitumineux, telles que la viscosite du bitume, la tension de surface du bitume et les potentiels de surface du bitume et des solides. Les interactions entre le bitume et les solides et entre le bitume et les bulles de gaz en fonction de la temperature sont decrites. On examine egalement le role des additifs chimiques dans le traitement des sables bitumineux. On a trouve que la temperature influait sur presque toutes les proprietes des sables bitumineux, notamment la viscosite du bitume et l'adhesion des solides au bitume, qui ont un impact important sur la recuperation de bitume. L'emploi d'additifs chimiques bien choisis peut reduire la viscosite du bitume et/ou l'adhesion des solides au bitume, fournissant ainsi une facon de traiter les sables bitumineux a une temperature peu elevee tout en maintenant une recuperation de bitume elevee.
Industrial Market Analysis System for Supporting Technology Commercialization of SMEs

Small and medium enterprises need a wide range of information regarding technologies, industries, market conditions, other companies, and products to facilitate identification of new growth opportunities and to respond quickly to changes in the business environment. Collecting such information, however, requires the input of resources (human resources, cost, and time), and the lack of marketability resulting from the shortage of such resources is often cited as the reason small and medium often fail in their effort to commercialize their technology. The purpose of this study was to analyze the environmental factors such as market concentration and the current level of competition to enable companies to make the necessary decisions when considering market entry following R&D planning and technology commercialization, or after the development of a new product. Also, an expert-based 5FORCE analysis can be performed using the KMAPS, an industry and market intelligence system: this facilitates automatic production of analyses based on the corporate finance and transaction data. The key contribution of the study is that it facilitates conveniently and quickly analyzing the 5 Forces, which had been a difficult task in the environmental analysis, and that the outcomes of this study empower companies in the decision-making process.
Effects of Inorganic Cation Templates on Octahedral Molecular Sieves of Manganese Oxide

Five hydrated inorganic divalent cations, Mg[sup 2+], Co[sup 2+], Ni[sup 2+], Cu[sup 2+], and Zn[sup 2+], have successfully been used as templates for the synthesis of manganese oxide octahedral molecular sieves (OMS-1) having the todorokite structure. The OMS-1 samples have been well characterized by X-ray diffraction, differential scanning calorimetry, thermogravimetric analysis, scanning electron microscopy/energy dispersive X-ray studies, inductively coupled plasma analysis, electron paramagnetic resonance, Fourier transform infrared spectroscopy, thiosulfate titration, and cyclohexane sorption. Catalytic CO oxidation and 2-propanol decomposition were carried out. Results show that these OMS-1 samples with a tunnel size of about 6.9 angstroms are crystalline and chemically pure. They have the following formulas: Mg[sub 3.17]Mn[sub 5.05]O[sub 12] [center dot] 4.52H[sub 2]O, Co[sub 1.84]Mn[sub 5.59]O[sub 12] [center dot] 3.45H[sub 2]O, Ni[sub 1.64]Mn[sub 5.75]O[sub 12] [center dot] 4.19H[sub 2]O, Cu[sub 3.50]Mn[sub 4.45]O[sub 12] [center dot] 5.33H[sub 2]O, and Zn[sub 3.55]Mn[sub 4.47]O[sub 12] [center dot] 2.59H[sub 2]O. Their thermal stability largely depends on the nature of the cations. 47 refs., 16 figs., 3 tabs.
Gate-ID: WiFi-Based Human Identification Irrespective of Walking Directions in Smart Home

Research has shown the potential of device-free WiFi sensing for human identification. Each and every human has a unique gait and prior works suggest WiFi devices are able to capture the unique signature of a person’s gait. In this article, we show for the first time that the monitored gait could be inconsistent and have mirror-like perturbations when individuals walk through WiFi devices in different directions, provided that the WiFi antenna array is horizontal to the walking path. Such inconsistent mirrored patterns are to negatively affect the uniqueness of gait and accuracy of human identification. Therefore, we propose a system called Gate-ID for accurately identifying individuals’ identities irrespective of different walking directions. Gate-ID employs theoretical communication model and real measurements to demonstrate that antenna array orientations and walking directions contribute to the mirror-like patterns in WiFi signals. A novel heuristic algorithm is proposed to infer individual’s walking directions. A set of methods are employed to extract and augment the representative spatial–temporal features of gait and enable the system performing irrespective of walking directions. We further propose a novel attention-based deep learning model that fuses various weighted features and ignores ineffective noises to uniquely identify individuals. We implement Gate-ID on commercial off-the-shelf devices. Extensive experiments demonstrate that our system can uniquely identify people with average accuracy of 90.7%–75.7% from a group of 6–20 people, respectively, and improve the accuracy by 12.5%–43.5% compared with baselines.
BEHAVIORAL FINANCE: EMPIRICAL EVIDENCE USING MAGIC FORMULA IN THE BRAZILIAN STOCK MARKET

ABSTRACT Purpose: Explain the causes of inefficiencies in asset pricing on the Brazilian stock exchange through the behavioral finance hypothesis. Originality/value: Research made in the stock market over the last decades suggests that there is evidence of obtaining returns above the market average, through the purchase of undervalued assets, that is, when it has a low relation between the price and the fundamentals of the company. However, there is a notable discrepancy regarding the interpretation of causes among academics. The efficient markets hypothesis was presented, which is based on the premise of the strict rationality of economic agents. On the other hand, the behavioral finance theory was also discussed, which presents different assumptions. Design/methodology/approach: Using the historical quotes of the shares traded on B3, extracted from economática(r)'s database, the present work used the Magic Formula methodology to investigate the behavioral effect through the inefficiencies found in the pricing of these assets. Findings: The results suggest that the Brazilian stock market, in conformity with works of the same nature performed in markets in other countries, has inefficiencies in the pricing of assets, so that it is possible to obtain advantages from economic agents. The interpretation for the causes of such inefficiencies is based on the premises of behavioral finance, and points to the existence of a limitation in the rationalization of these agents.