Miracle-dz/UniFAR-FTUs huggingface dataset:
Some Damaging Delusions of Deep Learning Practice (and How to Avoid Them)

1 CONTEXT FOR OUR TALK ANDWORK This is not a talk by “DL researchers. ” In fact, we are “outsiders” to the DL/ML world, having never published a full paper at NeurIPS, ICLR, ICML, or KDD! So, what do we have to say and why speak here? We are data systems researchers interested in helping “democratize” DL, specifically from the usability and scalability standpoints. This talk distills our critical analysis of some major issues we see in DL research and practice on these fronts.
Implementation of a Supervisory System in Electric Power Generating Units of Isolated Systems Installed In Municipalities of the Amazonas State

This research consists of an exploratory research carried out by monitoring the maintenance activities carried out in the Thermoelectric Power Plants installed in the cities of the State of Amazonas, with the objective of implementing a monitoring system for electrical quantities coming from engines, also called Engenies Electric Power. This is a field research with qualitative approaches, taking into account the implementation of an automated system to capture the variations in electrical quantities (Voltage, Current, Power and Power Factor) of these energy generating units. The capture of these data, which are the variations of electrical quantities, occurs with the use of PLC, transducers, Modem, among other equipment, which are stored in a database (computer) that using a Supervisory System modeled for this purpose, providing the visualization of these data, in real time, in a friendly and interactive interface. From the monitoring of these data, via a Supervisory System, and with the use of data manipulation tools from the SCADA system, an interface for the generation of graphics was modeled, which significantly contributed to the interpretation of these data. And in addition, make it available remotely, to everyone involved in the activities of the plants, thus being able to access the Supervisory System from anywhere in the world, through the internet. Keywords-Supervisory System, Electric Power Generators, PLC, SCADA System, Thermoelectric Power
Liver Cancer Detection Using Otsu’s Method for Image Processing

According to the World Health Organization, cancer is leading cause of deaths globally. Among all types of cancer, liver cancer has the lowest survivability, with approximately one million deaths each year. It is essential for medical practitioners to decide a suitable treatment for such cancer patients, which requires identification of cancer cells correctly as earliest as possible. For this purpose, image processing technique is used in this paper. Here the input is an MRI image and the output is also an image. The Otsu’s method will be used to enhance the MRI image and watershed method will be used to segment the cancer cell from the image. Evaluation and examination of these techniques is done for finest results and highest accuracy. These techniques are also used in medical applications in detection of various diseases.
Accessibility and sustainable use of Urban Green Areas as a factor for environmental preservation

The accessibility of Urban Green Areas (UGA) is widely studied in terms of parameters and metrics. The present work aims to analyze the relationship of accessibility and use of Urban Green Areas with the environmental preservation of these areas. To this end, a bibliographic survey of the existing indexes and indicators of accessibility of existing UGA was first carried out, resulting in 14 scientific papers analyzed. Then, three UGA of the city of Fortaleza were selected to analyze the relationship between accessibility and environmental preservation. It was found that areas without accessibility and sustainable use showed a higher degree of environmental degradation when compared to areas that had some kind of use or accessibility by residents.
The new dynamics of ageing volume 2

This is the second volume arising from the ground-breaking New Dynamics of Ageing Research Programme. While the Programme produced many scientific papers and several project-based books this (and its companion volume) is the only place where most of the projects are represented in specially commissioned chapters. Each of these reports the key findings from each research project and places them in a wider context. Each chapter also contains a summary of key findings. Like its predecessor this book covers a wide range of state-of-the-art research on ageing, with a specific focus on autonomy and independence, the biology of ageing, nutrition in later life and representations of ageing.
Comparison of the Efficacy of Matrix Therapy, Transcranial Magnetic Stimulation, and Cognitive Rehabilitation in Attention Bias Modification and Craving Reduction in Stimulant Drug Users

Introduction: Previous studies have shown that Matrix, repetitive transcranial magnetic stimulation (rTMS), and cognitive modification treatments could lead to numerous psychological improvements in patients suffering from substance use disorders. Previous research has shown that other therapeutic interventions could be useful in managing stimulant abuse in addition to Matrix treatment The present study aimed at comparison of the effectiveness of matrix therapy, transcranial magnetic stimulation and cognitive rehabilitation treatments in attention bias modification and craving reduction in amphetamine drug users. Methods: This study was quasi-experimental with pretest-posttest and three-month follow-up. Forty subjects taking amphetamine were selected by convenient sampling method and were randomly divided into three groups, including the matrix therapy, cognitive rehabilitation and rTMS as intervention groups and control groups (10 subjects in each group). The matrix group received 24 treatment sessions, 3 sessions per week and cognitive rehabilitation group recivied 15 treatment sessions (3 sessions per week). The group with rTMS treatment participated in a total of 10 sessions every other day. Questionnaires and dot-Probe tasks were performed as the cognitive software before and after the therapeutic interventions and one month after the interventions as a follow-up test. Results: The results showed that the effect of time on craving assessment in three stages was significant in all the study's four groups. In the experimental groups of Matrix, rTMS, and cognitive rehabilitation, the effect of time on the severity of addiction dependence and attentional bias was significantly different in three stages. In the control group, the effect of time in three stages of assessment of addiction severity and attention bias was not significant. Also, there was a significant decrease in the mean of craving in Matrix, rTMS, and cognitive rehabilitation groups from pre-treatment to post-treatment and from pre-treatment to follow-up stages. The mean addiction severity was significantly decreased from pre-treatment to post-treatment and from pre-treatment to follow-up stage in the Matrix, rTMS, and cognitive rehabilitation groups. Conclusion: The current study's findings indicated that all three interventions effectively reduced amphetamine craving and attentional bias. All three approaches produced positive therapeutic outcomes.
Parameter Estimation of the Photovoltaic System Using Bald Eagle Search (BES) Algorithm

The global demand for renewable energy is growing, and one of the proposed solutions to this energy crisis is the use of photovoltaic systems. So far, they are a reliable solution, as they are nonpolluting and can be used almost anywhere on the planet. However, the design and development of more efficient photovoltaic cells and modules require an accurate extraction of their intrinsic parameters. Up to date, metaheuristic algorithms have proven to be the best methods to obtain accurate values of these intrinsic parameters. Hence, to extract these parameters reliably and accurately, this paper presents an optimization method based on the principle of bald eagle search (BES) during fish hunting. This search is divided into three steps: in the first stage (space selection), the eagle selects the space with the largest number of prey; in the second stage (space search), the eagle moves into the selected space to search for prey; in the third stage (dive), the eagle swings from the best position identified in the second stage and determines the best point to hunt. Thus, we used the proposed BES algorithm to determine the parameters of the single-diode model (SDM), the double-diode model (DDM), and the PV modules. This algorithm converges very quickly and gives a root mean square error (RMSE) of 9.8602 e − 04 for the single-diode model and 9.8248 e − 4 for the dual-diode model. The results obtained show that the proposed algorithm is more efficient than the other methods available in the literature, in terms of the better accuracy of the results obtained. The good harmony of the I-V and P-V characteristic curve of the calculated parameters with that of the measured data from a PV module/cell data sheet proves that the proposed BES should be used among the methods provided in the literature for the identification of PV solar cell parameters.
Diurnal variation of heavy rainfall over the Beijing-Tianjin-Hebei region: Role of aerosol cloud effect and its sensitivity to moisture

Abstract. Our recent study found that, during 2002–2012, the diurnal variation of heavy rainfall over Beijing-Tianjin-Hebei (BTH) region exhibits different characteristics between clean and polluted environment. Here we use satellite cloud products together with meteorology and aerosol data to further examine the aerosol impact on the associated clouds focusing on its sensitivity to moisture. During the days with large aerosol loading, the characteristics of earlier starting time, earlier peak hour and the longer duration of heavy rainfall are usually accompanied by increased cloud fraction, reduced cloud top height and increased/reduced liquid/ice effective radius. However, the aerosol effects on the cloud top and liquid effective radius are distinct at lower and higher humidity. Different from the radiative effect that black carbon heats the lower troposphere and may generate the earlier start of heavy rainfall, the aerosol cloud effect enhances the efficiency of precipitation and advances the rainfall peak, which may be ascribed to increased cloud droplet number and cloud water, enhanced collision-coalescence and accelerated rainfall formation when the background moisture supply is sufficient. The speculation warrants further numerical experiment to verify.
R2

The effective depth will be based upon the limiting span to depth ratios given in BS EN 1996-1-1, the coordinating dimensions of brickwork coursing and if critical the shear strength of the beam section. In order to suit the supporting piers width make beam width, b = 440 mm. Use bricks as soldier courses for aesthetic reasons and so that brickwork in compression is loaded normal to its bed face. Which is compatible with their test procedure and the declared compressive strength of the brick masonry units. (It should be noted that if brickwork is laid horizontally such that it is loaded in compression across its stretcher face, fk and fd must be determined in relation to the actual direction of structural loading). Trial section is as shown in diagram. As arrangement of section and concrete infilling will allow shear links to be used shear is unlikely to control the effective depth, d. Overall beam depth = 553mm Assume Exposure situation MX3 with C35/45 infilling concrete to inner void and actual cover provided to reinforcement is 20mm minimum As Table NA.9 of the UK National Annex requires a minimum cover of 30mm for this exposure situation austenitic stainless steel reinforcing bars and shear links will be used throughout. 20mm minimum cover required to achieve bond and practical cover requirements. Effective depth, d = (553-103-20-8-10) = 412mm (d = 410mm)
The basic reproduction number and herd immunity for COVID-19 in India

Objectives: To estimate the basic reproduction number and herd immunity in India relative to the viral disease COVID-19. Methods: In this study, we analyzed literature from March-2020 to January-2021, which were related to the basic reproduction number and herd immunity of COVID-19 in India. Also, we found the mean value of the basic reproduction number and herd immunity as a result. Findings: According to our study, the basic reproduction number and the percentage of the herd immunity ranged from 1.2561 to 3 and from 20% to 66%, respectively. The mean value of the basic reproduction number and the percentage of the herd immunity is 2.0546 and 51% respectively. Novelty: To the best of our knowledge, no such studies have been conducted in India.
Implication of Modern Complementary Foods in Critical Period for Child Health Programming

The current development of medicine and the results of recent large-scale academic research in pediatrics provide the convincing conclusions that the formation of human health begins in the antenatal period of ontogenesis and continues throughout the infancy. The ideas and subsequent academic research on the influence of nutrition during the first thousand days of life on the programming of metabolism and the development of some chronic somatic diseases such as obesity, hypertension, coronary heart disease have become widespread. In addition, at the same period of life immune abnormalities with a predominance of one of the subpopulations, Th1 or Th2, can possibly form in children at risk of developing allergies when immune response is developing. The predominance of the Th2 cytokine profile (hyperproduction of interleukins 4, 5, 13, etc.) suggests the possibility of stable formation of the atopic status in a child afterwards. Consequently, the application of academic knowledge on the health status programming by nutrition during early ontogenesis is an important tool in preventive pediatric practice.
EXPLORANDO A INFLUÊNCIA DAS PRÁTICAS DE SUSTENTABILIDADE NA PERFORMANCE DE NEGÓCIOS SUSTENTÁVEIS SOB O EFEITO MODERADO DAS PRÁTICAS DE CONTABILIDADE AMBIENTAL

Esta pesquisa teve por objetivo verificar a influência das práticas de sustentabilidade na performance de negócios sustentáveis sob o efeito moderado das práticas de contabilidade ambiental. Em um primeiro momento a pesquisa foi elaborada através da revisão de literatura especializada. Num segundo momento, foi realizada uma pesquisa de campo com especialistas ambientais que atuam/atuaram em negócios sustentáveis. Os dados foram extraídos por meio de um questionário do tipo escalar/matriz de julgamento. Os especialistas foram selecionados por critérios técnicos e científicos, com conhecimento e experiência acerca do objeto de investigação, sendo utilizada a plataforma LinkedIn para esta seleção. O questionário foi respondido por 25 especialistas. Os questionários foram encaminhados aos respondentes por meio do Google Forms. Os dados foram organizados em figuras (gráficos) para melhor clareza e compreensão. Os resultados obtidos foram analisados sob duas perspectivas. Primeiramente foi realizada uma análise quanto ao nível de implementação das práticas e posteriormente foi feita uma análise do nível de influência de todas as práticas de sustentabilidade na performance de negócios sustentáveis, sob o efeito da contabilidade ambiental, nas perspectivas cliente, financeiro e ambiental. Por fim, a análise foi realizada em uma visão global. Após a análise dos resultados obtidos, foi possível concluir que as todas as práticas de sustentabilidade analisadas influenciaram em menor ou maior grau a performance dos negócios sob o efeito moderado da contabilidade ambiental. Espera-se que este estudo contribua de forma substancial para o estado da arte e o estado da prática, representando um instrumento consistente para o aprimoramento das práticas de gestão nas empresas, de modo a orientar as organizações para que os resultados econômicos e financeiros possam ser alcançados paralelamente às iniciativas sociais e ambientais.
Collaborative Blockchain-Based Detection of Distributed Denial of Service Attacks Based on Internet of Things Botnets

Internet of Things is one of the most significant latest developments in computer science. It is common for modern computing infrastructures to partially consist of numerous low power devices that are characterized by high diversity in both hardware and software. Existing security models, approaches and solutions are not able to sufficiently protect such systems. In this paper we propose the use of lightweight agents installed at multiple internet of things (IoT) installations (e.g., smart-homes), in order to collaboratively detect distributed denial of service (DDoS) attacks conducted by the use of IoT devices botnets. Specifically, agents exchange outbound traffic information in order to identify possible victims of DDoS attacks. This information exchange is governed by a blockchain smart contract, that ensures the integrity of both the procedure and the information. A simulation of the operation of the proposed methodology has been conducted in order to evaluate both its detection efficiency and its resilience against malicious agents that aim to falsify results.
LIGHT SCATTERING SENSOR FOR RAPID DETECTION OF BACILLUS CEREUS IN CHICKEN MEATS

Bacillus cereus is an opportunistic pathogen causing food poisoning, manifested by diarrhea or emetic illnesses. BARDOT (BActerial Rapid Detection using Optical scattering Technology) directly capturing phenotypic CHARacteristics of colonies following standard agar plating, providing non-destructive, high-throughput analysis and real-time detection of colonies on agar plate without any labeling reagents or probes. This study implement light scattering sensor in detection and identification of B. cereus on genus level in mixed cultures and in artificially inoculated chicken samples using PRM (phenol red mannitol) agar. Software analysis and PCR confirmation showed that BARDOT successfully detect 100% of B. cereus in mixed culture and >90% of artificially inoculated chicken samples. This results demonstrates that BARDOT could be used as a screening tool to identify Bacillus cereus from other pathogens and background flora on PRM agar
Knowledge, Attitude, and Practice of Health Professionals Towards Labor Companion
in Health Institutions in Addis Ababa

Background: The day of giving birth is a time of unique and intense absorption and learning for every parturient woman because of the interplay of a variety of stressors associated with childbirth such as pain, medical intervention, and hospitalization. Thus, women in labor have a profound need for companionship, empathy, help, and emotional support especially from family members and friends to meet to their needs that the health professional may not be able to address. There is strong evidence showing that continuous support during labor effectively improves delivery outcomes. It is factual that most of the facilities in Ethiopia do not have a policy that allows a companion in the delivery room to accompany the mother despite the dire need. The knowledge and attitude of health professionals towards this support system has an immense effect on the implementation of this policy by the institutions. Objective: To assess the knowledge, attitude, and practice of health professionals towards labor companion in the health institutions of Addis Ababa. Methods: Facility-based cross-sectional study in 30 health institutions of Addis Ababa was conducted using self-administered structured questionnaire from March 1 to June 30, 2016. The results were summarized using descriptive statistics. Bivariate logistic regression analysis and odds ratio along with 95% confidence interval was used to assess the degree of association between dependent and independent variables. The variables with significant association were entered into multivariate logistic regression model. Results: Among the total of 378 respondents, 275(72.8%) were females and 252(66.7%) were midwives. Most of the respondents, 239(93.4%) stated to have knowledge on the importance of labor companion but only 167(44.2%) had adequate knowledge. From the study participants, 239(63.2%) had positive attitude towards labor companion but only 139(36.8%) stated it is practiced in their institution. Having adequate knowledge is significantly associated with positive attitude. Health professionals working in private institutions and health centers have the practice of allowing labor companion better than those in government hospitals. Conclusion and recommendation: This study concluded that less than half of the study participants have adequate knowledge regarding the benefits of labor companion though majority have positive attitude. Health professionals should be updated on evidence-based support of labor companionship; and all the stakeholders involved should make the effort in bringing change towards labor companion.
Soil microbes alter competition between native and invasive plants

Invasive plants can alter soil microbial communities and generate positive plant–soil feedbacks that facilitate their performance, but the magnitude and direction of feedbacks may change with novel conditions under climate change. We assessed how potential soil legacy effects of plant invasion and simulated drought influenced plant performance and competition in the longleaf pine ecosystem. We collected soil from a 4‐year factorial invasion (cogongrass Imperata cylindrica) by drought (simulated with rainout shelters) field experiment and used it as live or sterilized soil inoculum in a greenhouse experiment that included two native foundation species, longleaf pine Pinus palustris and wiregrass Aristida stricta, and cogongrass, grown individually or in competition. There was no evidence of biotic soil legacy effects of invasion or drought for any plant species, but microbes played a significant role in competition. When plants were grown alone, the invader had 12% greater biomass in live soil than sterile soil but both native species had 25% less biomass in live soil. When grown in competition, these effects were reversed for cogongrass (37% smaller in live soil) and pine (17% larger in live soil). In competition, the three species grown in sterile soil produced similar amounts of biomass, whereas live soil created a competitive hierarchy where pine was more competitive than wiregrass and cogongrass. Synthesis. These results emphasize the importance of soil biota in native plant restoration because, although the invader was highly successful when grown alone, plant–microbe interactions influenced the outcome of competition between native and invasive species by promoting native longleaf pine. There was little evidence that invasive cogongrass inhibited native plants via biotic soil legacies, instead, results suggested that plant–soil interactions can be highly resilient to global change such that the biotic legacy of invasion and drought may not promote or inhibit invasion.