Miracle-dz/UniFAR-FTUs huggingface dataset:
Possibilities and Challenges of Radio Frequency Energy Harvesting in Dar es Salaam, Tanzania

This paper presents investigation on the possibilities and challenges of harvesting ambient Radio Frequency Energy (RFE) at Dar es Salaam region in Tanzania. The Radio Frequency (RF) signals were measured using a Rohde and Schwarz FSC 3 spectrum analyzer observing available frequencies with their respective power. Among several RF signals received, the most powerful signals observed were; 800 MHz, 950 MHz, 2100 MHz and 2400 MHz, having average signal strengths of about -30.29 dBm, -35.94 dBm, -42.90 dBm and -30.42 dBm respectively. The power possessed within these frequencies were suitable to be harvested due to their signal strengths, an overall power average of -34.89dBm was obtained and a multi narrowband harvester was designed and simulated using real-time values on Keysight’s Advanced Design System (ADS) 2019. The simulation results confirm a promising possibility of harvesting RF energy to power ultra-low-power devices in the Internet of Things (IoT) and beyond.
Estimating Needle and Shoot Inclination Angle Distributions and Projection Functions in Five Larix principis-rupprechtii Plots via Leveled Digital Camera Photography

The leaf inclination angle distribution function is a key determinant that influences radiation penetration through forest canopies. In this study, the needle and shoot inclination angle distributions of five contrasting Larix principis-rupprechtii plots were obtained via the frequently used leveled digital camera photography method. We also developed a quasi-automatic method to derive the needle inclination angles based on photographs obtained using the leveled digital camera photography method and further verified using manual measurements. Then, the variations of shoot and needle inclination angle distributions due to height levels, plots, and observation years were investigated. The results showed that the developed quasi-automatic method is effective in deriving needle inclination angles. The shoot and needle inclination angle distributions at the whole-canopy scale tended to be planophile and exhibited minor variations with plots and observation years. The small variations in the needle inclination angle distributions with height level in the five plots might be caused by contrasting light conditions at different height levels. The whole-canopy and height level needle projection functions also tended to be planophile, and minor needle projection function variations with plots and observation years were observed. We attempted to derive the shoot projection functions of the five plots by using a simple and applicable method and further evaluated the performance of the new method.
EFFECT OF IRRADIATION ON FOOD SAFETY AND QUALITY

Numerous processing techniques have been developed to control food spoilage and raise food safety. The traditional methods of preservation include: pasteurization, canning, freezing, refrigeration and use of chemical preservatives. Food irradiation is non-thermal food preservation process. It is a treatment of food exposition on an amount of energy in the form of speed particles or rays. Depending on absorbed radiation dose, various effects can be achieved, resulting in reduced storage losses, extended shelf life, improved microbiological and parasitological safety of foods. The potential application of ionizing radiation in food processing is based mainly on the fact that ionizing radiations damage very effectively the DNA molecules. The application is very diverse, from inhibition of sprouting of tubers and bulbs, to production of commercially sterile food products. At the same time, irradiation-induced chemical changes in food are minimal. Irradiation does not cause any significant loss of macronutrients. Proteins, fats and carbohydrates undergo minimal modifications in nutritional value, which are less significant compared with traditional methods of food preservation. Irradiation offers a potential to enhance microbiological safety and quality of food through extension of its shelf life. The aim of this review paper is to give an overview of the effects of ionizing radiation on microbial contaminants and nutritional characteristics of food. In the paper, the basic concepts of food irradiation, mode of action on microbes and the effects of ionizing radiation on nutritional quality of irradiated food are summarized.
Correlation of Bone Marrow Morphology and Immunophenotyping in Acute Leukaemia Patients

Correlation of Bone Marrow Morphology and Immunophenotyping in Acute Leukaemia Patients Muhammad Nurul Farhad1*, Salma Afrose2, Md. Sirajul Islam3, Gazi Yeasinul Islam1 1Department of Haematology & BMT, Dhaka Medical College Hospital, Dhaka, Bangladesh 2Department of Haematology, Bangladesh Institute of Research and Rehabilitation in Diabetes, Endocrine and Metabolic Disorders (BIRDEM), Dhaka, Bangladesh 3Department of Hematology, Sir Salimullah Medical College and Mitford Hospital, Dhaka, Bangladesh
Snapse: A Visual Tool for Spiking Neural P Systems

Spiking neural P (SN P) systems are models of computation inspired by spiking neurons and part of the third generation of neuron models. SN P systems are equivalent to Turing machines and are able to solve computationally hard problems using a space-time trade-off. Research in SN P systems theory is especially active, more so in recent years as more efforts are directed towards their real-world applications. Usually, SN P systems are represented visually as a directed graph and simulated through mainly text-based simulations or tables. Thus, there is a need for tools that can simulate and create SN P Systems in a visual and easy-to-use manner. Snapse is such a tool which aims to hasten the speed and ease at which researchers may create and experiment with SN P systems. Furthermore, visual tools such as Snapse can help further bring SN P systems outside of theoretical computer science.
Primer reporte de forrajeo sobre el chanchito de mar (Emerita analoga) por perros (Canis lupus familiaris) en la costa de Valdivia, Chile

Domestic dogs are reported foraging on molecrabs Emerita analoga on Curinanco beach, Valdivia, Chile. Preying on these crabs represents a potential health risk for the dogs, because E. analoga is the intermediate host of larvae of the acanthocephalan Profilicollis altmani, which uses shorebirds as definitive hosts, but also have been documented to parasitize marine and terrestrial mammals including humans. Finally, the dogs not only disrupt birds’ foraging, but now also compete for the same resource.
NEW ADAPTIVE REBROADCASTING USING NEIGHBOUR LEARNING FOR WIRELESS NANOSENSOR NETWORKS

Wirelesse Nanosensor Networks (WNSNs) contain a large number of independent and mobile nanodevices assembled with nanotransceivers and nanoantennas to work in Terahertz frequency band (0.1-10THz). These nanodevices exploit the properties of modern nanomaterials to recognize new varieties of events at the nanoscale, such as the presence of harmful viruses or bacteria and the detection of low concentrations of chemical and harmful gas molecules. Communication between nanonodes can be established by using molecular or electromagnetic communication approaches. One of the major problems of wireless nanosensor networks is the limited resources of nanodevices (e.g., computation, memory and power). On the other hand, such limited capacity cannot simply ensure communication between nanonodes using the flooding mechanism, which affects network performance and increases resource utilization. This paper considers the electromagnetic-based wireless nanosensor networks, and proposes a New Adaptive Probabilistic Based Broadcast Using Neighborhood Information. Simulations have been conducted using Nanosim simulator in order to compare our new schemes with the fixed probabilistic based broadcast. The experiments show that the proposed approach gives good results in terms of Packet Delivery Ratio (PDR reached 95%.), the amount of energy consumed (significantly reduced) for all the categories of density. No startup setup is required: the nanonodes adjust by themselves the broadcasting probability based on neighborhood collected information.
A GESTÃO DO CONHECIMENTO E OS DESAFIOS PARA A IMPLEMENTAÇÃO DE UM MODELO DE EXCELÊNCIA BASEADO NA NORMA ISO 30401

O momento atual de transformação digital no âmbito corporativo coloca o desafio de desenvolver novas capacidades de conhecimento organizacional capazes de fornecer condições para inovação, crescimento competitivo e sustentável. Nesse sentido, a International Standards Organization (ISO) publicou o rascunho de uma norma específica de Gestão de Conhecimento (GC), a ISO/DIS 30401:2017. Baseado nesse documento, este artigo propõe um instrumento para apoiar as organizações interessadas em implementar essa norma. Para o desenvolvimento desse instrumento, a literatura relacionada aos modelos e práticas de GC foi confrontada com os requisitos da norma, visando identificar como cada prática poderia atender aos itens desses requisitos. Posteriormente, os resultados foram refinados por dois especialistas, um acadêmico em GC e um profissional do mundo corporativo. Ao final, foram identificadas as práticas aderentes à ISO/DIS 30401:2017 com potencial de utilização pelas empresas. Visto que a versão definitiva da norma, publicada em novembro de 2018, não trouxe modificações relevantes à sua versão provisória, o instrumento proposto permanece pertinente.
First results on physico-chemical status and bathymetry of lakes in Ramaroshan Wetland, Far-West Nepal

This study investigates the bathymetry of three major lakes and the water quality of nine lakes at Ramaroshan Lake Complex Area (RLCA), Far-Western Nepal. Lakes were surveyed based on line transects using Echosounder (depth measuring gauge) and GPS to collect the data for bathymetry. Water samples were collected from 43 sites of nine lakes, considering the land use patterns, anthropogenic activities, inlets, and outlets. Twenty physico-chemical parameters were analyzed to know the water characteristics and pollution level. The bathymetry map showed that Jingale is the deepest lake (44 m), followed by Batula (15 m) and Mathillo Dhaune (9.5 m). There was no significant spatial variability in the concentration of physicochemical parameters among the sampling sites. The mean concentrations of cations and anions were in the order of Ca> Mg> Na> K, and HCO3> Cl> SO4> PO4> NO3, respectively. Principal component analysis (PCA) and cluster analysis (CA) techniques were applied to assess the influence of pollution levels and their controlling mechanism. PCA showed 79.89 % of the cumulative variance with > 1.26 Eigenvalue. Similarly, CA showed that Jingale Lake (in cluster 2) sites were less polluted than other sampling sites. Piper diagram concluded that there was a dominance of mixed water type belonging to CaMg-Cl compared to Ca-HCO3. Furthermore, the Water Quality Index (WQI) value of the lakes in the study area was 27 indicating good water quality (slightly polluted).
Conceptual Design of Methyl Ethyl Ketone Production via 2,3-Butanediol for Fuels and Chemicals

Methyl ethyl ketone (MEK, also 2-butanone) is both a common chemical and potentially a promising fuel. It can be produced biotechnologically via 2,3-butanediol (2,3-BD) followed by dehydration with the byproducts acetoin and isobutyraldehyde (IBA). This article presents a process development including thermodynamic modeling of the separation steps. Alternatives are analyzed for energy efficiency including heat integration as a first measure to assess viability but also the effect of capacity. The efficiency largely depends on the separation technology for 2,3-BD and its efficiency. Hybrid separation strategies show a total product yield of nearly 38 wt % at a specific primary energy demand of 0.25 MJ/MJMEK. The competitiveness to bioethanol and the low degree of heat integration make the concept promising for small-scale production with acetoin and IBA as high-value products. Efficient production mandates further research on simplification and realization of 2,3-BD separation integrated with fermentation,.
Collaborative manual tasks in distributed virtual environments

We often encounter many situations where we manually interact with others collaboratively. This allows us to solve tasks that we would otherwise not be able to do on our own. Handover tasks are an everyday interaction that we perform with others without thinking about it. However, these tasks are complex coordinated actions between two actors based on sensory feedback that are per-formed in a very short time. In this work, an overview of handover tasks will be provided from a perspective of the interdisciplinary fields of human-robot interaction (HRI), neuroscience, cognitive science and human-computer interaction (HCI). For this purpose, the structure and process of a handover interaction will be examined and the current state of research will be reflected. The ability to represent realistic manual interactions in an immersive collaborative scenario enables the simulation and training of complex workflows in a realistic context. The study design presented in this paper is intended to improve the understanding and design of handover inter-action techniques in virtual environments. Furthermore possibilities to substitute missing haptic feedback with other sensory stimuli will be evaluated.
Sağlık ve Beslenme Ekonomisi: Diyetisyen ve Maliyet-Yarar Analizi

The relationship between nutrition and health economic outcomes is important at both in the individual and the population level. Nowadays, health-care systems are currently facing tremendous budget constraints resulting in growing pressure on decision makers and health-care providers to obtain the maximum possible health beneﬁts of the resources available. Studies show that, face-to-face medical nutrition therapy by a dietitian for the treatment of disease led to significant improvements in clinical effectiveness and cost benefit. Development of an economic framework to evaluate costs and beneﬁts from nutrition interventions and medical nutrition treatments are a potential area for future research. This review summarizes some studies of medical nutrition therapy in which health-related economic and clinical nutrition implications of the intervention by dietitians have been addressed.
The Effect of Inquiry Learning with Scaffolding on Misconception of Light Material among Fourth-Grade Students

The purpose of this study is to determine the effect of Inquiry learning with scaffolding to decrease the percentage of light material misconception among fourth-grade students. The method used was Quasi-experimental with a non-equivalent control group design. The population was fourth-grade students of the Surya Buana Islamic Elementary School, Malang. The result of Anacova showed that for the â€œClassâ€ variable, the value of Significance (P-value) obtained was smaller than the Î± significance level of 0,006 < 0,05. Based on the results of the Anacova test it was concluded that there was a significant effect from the use of Inquiry learning with scaffolding to decrease the percentage of light material misconception in fourth-grade students of Surya Buana Islamic Elementary School, Malang. The average percentage of studentsâ€™ misconceptions in the experimental class at the initial conception was 38.7% and dropped to 15.4% in conception after inquiry learning with scaffolding. While the average percentage of studentsâ€™ misconceptions of control class at the initial conception was 37.8% and dropped became 22.7% at conception after conventional learning. The decrease in the percentage of studentsâ€™ misconceptions of the experimental class was greater than the control class by a difference of 10.7%. Further research is suggested to examine more deeply the effect of inquiry learning with scaffolding on process skill, learning achievement, and other aspects of learning that are likely to be developed in students.
Antifungal Activity of Polyscias scutellaria Fosberg Leaves Against Candida albicans

Polyscias scutellaria Fosberg is one of the indigenous plants from Indonesia that widely used as folk medicines for several illnesses. The leaves of P. scutellaria were previously studied as an antimicrobial agent. Nonetheless, this theory of antifungal activity has never been scientifically verified. This study aimed to evaluate the antifungal activity of P. scutellaria against Candida albicans. The leaves of P. scutellaria were macerated using an ethanol solvent. Then, the extract was evaporated and dissolved by 1% DMSO into different concentrations (100 μg/mL, 200 μg/mL, 400 μg/mL, 800 μg/mL, 1600 μg/mL, 3200 μg/mL, and 6400 μg/mL). Fluconazole, as a common antifungal treatment, was used as the positive control. The antifungal activity of P. sculletaria against Candida albicans was tested using well dilution and diffusion disc methods. Ethanol extract of P. scutellaria leaves showed antifungal activities against Candida albicans. It showed the minimum inhibitory concentration of above 6400 μg/mL and formed the inhibitory zone against Candida albicans. As a conclusion, ethanol extract of P. scutellaria has the potential to be used as an antifungal agent against Candida albicans.
Study on Green Supply Chain Cooperation and Carbon Tax Policy considering Consumer’s Behavior

Carbon tax policy has been shown to be an effective incentive for the reduction of carbon emissions, and it also profoundly influences supply chain cooperation. This paper explores the interaction between carbon taxes and green supply chain cooperation. Specifically, we analyze the impact of a carbon tax on green supply chain coordination and further optimize the carbon tax to achieve a win-win situation for both the supply chain and the environment. Because consumer’s behavior has a significant impact on green product demand, we consider the problems above under two types of consumer’s behavior characteristics: consumer’s environmental awareness and consumer’s reference behavior. A game-theoretic model is employed to describe a green supply chain consisting of a manufacturer and a retailer, combining important factors such as the carbon tax rate, green investment coefficient, and degree of reference effect. Then, we obtain the optimal carbon tax rate by balancing the total tax revenue and product greenness. A revenue-sharing contract is introduced to achieve green supply chain coordination, and the impact of the carbon tax on coordination is analyzed. The results show the following. (1) The carbon tax rate and the difference between the power of the manufacturer and retailer are the main factors determining green supply chain coordination. (2) Maximum greenness can be achieved when development costs are higher, while the maximum tax revenue is obtained when the development cost is lower, but with the loss of greenness. (3) If the power of the manufacturer is low, coordination can be achieved under the optimal carbon tax. If the power of the manufacturer is at a medium level, coordination can be achieved by increasing the carbon tax; as a result, increased greenness will be realized, but with the loss of tax revenue. However, when the power of the manufacturer is strong, coordination cannot be achieved. (4) Price reference behavior can promote supply chain coordination, but consumer’s environmental awareness cannot.
COASTAL RESILIENCE IN THE INDUS DELTA; UPSCALING NATURE-BASED SOLUTIONS

Sindh province, Pakistan is home to the seventh largest delta, at the mouth of the River Indus and holder RAMSAR designation. A large arid mangrove forest system once occupied the coastal belt. Systematic removal over the past 50 years has exposed the delta to energy higher during cyclones and climate related threats, most notably rising water levels and combined flood risk from extreme events. The loss of mangrove has resulted in agricultural land loss, saline intrusion, and population migration. The Sindh Coastal Resilience Project introduces a National Adaptation Plan alongside investment in key flood risk management interventions; enhancing the mangrove buffer to provide stability, improving water and sediment connectivity, and introducing embankments and flood schemes at key nodal points through the Indus Delta.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/MzBJzHOw4yw
Wartość kompetencji międzykulturowych

The aim of the article is to discuss the importance of intercultural competences in building a pluralistic society, open to cultural diversity. Based on the example and analysis of the new program of English language studies, i.e. Intercultural Communication in Education and the Workplace, which operates at the Faculty of Humanities of Maria Curie-Skłodowska University in Lublin, an attempt was made to identify the aspects and ways in which intercultural competences can be acquired and promoted. However, the author does not analyze intercultural education as such, as this has been the subject of research by many other investigators. In the first section, an attempt was be made to define the concept of intercultural competences taking into account cognitive, emotional and behavioral components. The answer to the question why it is important to acquire competences is discussed in the part where the author examines the factors (imperatives) indicating the indispensability of such competences in the contemporary globalized, spatially compressed and cross-linked world. In the final part of the article, the assumptions of the course and the program of intercultural studies are analyzed with a view of presenting a practical proposal of acquiring intercultural competences in Lublin’s international academic environment.
CLINICAL ISOLATES OF E.coli IN PIGS – ANTIMICROBIAL RESISTANCE AND PERSPECTIVES TO OPTIMIZE ANTIBIOTIC ADMINISTRATION

Modern livestock production inevitably involves the use of antimicrobial drugs. Adequate application thereof depends on the application of appropriate biosafety measures as well as timely and accurate diagnostics of the diseases. Administration of antimicrobial drugs without previous identification of “zootechnical errors” or relevant laboratory analysis may lead to the development of antimicrobial resistance (AMR). Surveillance and monitoring of AMR is conducted according to prescribed procedures and includes sampling at slaughter line. Quite often, such procedures are missed out during production cycle, which results in an inadequate use of antibiotics and consequent development of antimicrobial resistance and resistance gene transfer. In this research, we monitored the presence of specific bacterial species from the family Enterobacteriaceae and their sensitivity to particular antibiotics in diverse animal categories at pig farms over the breeding period. The aim of the study was to establish the following: development of antimicrobial resistance by isolated bacteria, occurrence of the resistance towards several diverse groups of antibiotics, and possible alternatives to antibiotics in cases when therapy is required. The research confirmed the development of AMR during pig production process, which is often manifested as multiple resistance (group of penicillin and synthetic penicillin drugs, aminoglycosides, fluoroquinolones, tetracyclines).
X-Band Microstrip Bandpass Filter Design using Square Loop Resonator and Defected Ground Structure

Filter is an important part in telecommunication system including in radar system. To get a better performance in selecting the signal, a filter must have a good Q-Factor. In this paper, an investigation of a filter design for synthetic radar has been successfully done. This filter has been designed to work at x-band using square loop resonator (SLR). A Defected Ground Structure (DGS) has been implemented to this work to increase the Q-factor of the filter. It is obtained that the best performance occurs when the center frequency is at 9.51 GHz with the bandwidth of 610 MHz and PCB size of this filter is 22 mm × 16 mm.