Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing biogas systems in Norrk € oping, Sweden: An industrial symbiosis intervention

Biogas systems are often multi-functional and involve several actors in different sectors, requiring these actors to collaborate closely in order to implement such systems. In this paper, a study is presented where the theory of institutional capacity building is used to guide interventions with public and private actors to facilitate the development of local biogas systems in Norrk € oping, Sweden. The interventions were performed in the form of a workshop series, where local actors with potential to in ﬂ uence biogas developments actively took part. The workshop series generated knowledge on Norrk € oping ’ s signi ﬁ cant potential for both producing and using biogas, which was traced, in part, to its high concentration of bio-based industries and its good position as a hub for transports. The interventions also created a shared understanding that cooperation and coordination to distribute resources and knowledge about biogas, both geographically and across sectors, was critical for realizing this potential. The municipal organization was identi ﬁ ed as an important actor for coordinating these efforts. Observations during the workshops and survey responses indicate that the interventions contributed to building institutional capacity and initiation of efforts to develop local biogas solutions. Ideas put forth in this study enable interventions to target the intangible internal capacities of emerging industrial symbiosis networks. In addition, institutional capacity building serves as a useful analytical framework capable of capturing progress within emerging networks in the short-term even when material, water or energy synergies are yet to be realized. © 2020 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (
Face Recognition System Approach Based on Neural Networks and Discrete Wavelet Transform

— The technology of face recognition is attractive and full of technology research challenges; It is used for recognizing people by using digital images. Although face recognition has an important role in several areas such as security, face recognition technology still encounters many challenges that need to be solved with more scientific methods. One of These challenges lead can be the variations of the face of the same person due to lighting or pose. This project explores and investigates the use of combined hybrid algorithms based on neural networks and discreet wavelet transform for face recognition in order to enhance the recognition rate for a face from identified data set of faces. Two techniques have been used in this research; the First one is applying the discrete wavelet transformation method in order to improve and compress the images of the data set. The second one is implementing a well-known approach called Principal Component Analysis. The training and testing face images are selected from ORL database, which contains 400 images for 40 different persons and have minimum pose variation. The experimental results confirmed that the proposed methodology provides a feasible and effective solution for recognizing faces.
Health savings accounts in the United States of America

The medical savings account model of health insurance in the United States combines a high-deductible health insurance plan 1 with a dedicated savings account used to pay expenses incurred below the deductible. Savings in the plan can roll over from one year to the next and, after some predefined period during which they are dedicated to health spending, can be used for non-health-related expenses. 2 In principle, this model combines the incentives for frugal use of health services that exist in high-deductible health insurance with assurance that the funds required in the event of true medical need will be available. In with this model began, scale, Beginning the use of this model voluntary health States was promoted through a series of tax The first of these incentives, a limited demonstration project (capped at a maximum of 750 000 enrollees), was passed as part of the Health Insurance Portability and Accountability Act of 1996, which allowed self-employed individuals and businesses with fewer than 50 employees who were covered under qualified high-deductible health plans to make tax-exempt contributions to medical savings accounts.
Process modelling and thermodynamic performance optimization of mixed Indian lignocellulosic waste co‐gasification

Bio‐syngas derived from lignocellulosic biomass (LB) has emerged as a potential precursor gas to be converted to liquid fuels. The quality of syngas with respect to the concentrations of CO, H2 and CO2 is, however, dependent on the elemental analysis of the LB and the variables like equivalence ratio, gasification temperature. The generation of tar and ash from the gasification process is also influenced by the proximate analysis of the LBs. In this study, steady state process simulation of co‐gasification of mixed Indian LBs has been developed through Aspen plus using non‐equilibrium model based on reaction kinetics. Formation of char and tar has also been incorporated in the model. The composition of syngas, obtained through Aspen plus simulation of co‐gasification has been successfully compared with literature data. The ratio between individual agro wastes in the LB mixture is another input variable in the co‐gasification model. Finally, response surface methodology has been used to optimise the energy and exergy efficiency of the co‐gasification process with respect to equivalence ratio, gasification temperature and ratio of high and low ash LBs. It has been found that the combination of 750°C temperature, 0.2 biomass ratio and 0.2 equivalence ratio gives the optimum energy efficiency and combination of 750°C temperature, 0.8 biomass ratio and 0.5 equivalence ratio gives maximum exergy efficiency.
Analysis of Intellectual Property Assets in A Local Innovation System on The Rise

The intellectual protection process is a sine qua non condition for leveraging a system based on a specific location. The purpose of this article was to find a referenced chronological survey - 2000 to 2017 - on the relationship of fostering innovation and Intellectual Protection, according to the usability of certain assets in view of the Local Innovation System in Pernambuco - Brazil. The methodology used was descriptive, with documentary analysis and bibliographic references. As a result, it was found that there is a structural disorder in Intellectual Property in the state, taking it to levels far below other Local Innovation Systems with the same innovative maturity. A developmental and intellectual property gap was found in what is already considered one of the largest and best structured Brazilian Local Innovation Systems. Considering these unsatisfactory results, it is necessary to promote in the Pernambuco Local Innovation System innovative matrix methods and Intellectual Property capable of taking the referred state to innovative levels never thought of.
BIODIVERSITAS DAN POTENSI JAMUR BASIDOMYCOTA DI KAWASAN KASEPUHAN CISUNGSANG, KABUPATEN LEBAK, BANTEN

Abstrak Biodiversitas jamur Basidiomycota di kawasan konservasi Taman Nasional Gunung Halimun Salak (TNGHS) yang terletak di Kabupaten Lebak, Provinsi Banten, belum pernah diteliti sebelumnya. Kawasan konservasi tersebut dihuni oleh masyarakat adat dari Kasepuhan Cisungsang, yang selama ini memanfaatkan jamur dalam kehidupan sehari-hari. Oleh karena itu, penelitian ini mengeks-plorasi keanekaragaman jamur Basidiomycota dan pemanfaatannya oleh masyarakat adat Kasepuhan Cisungsang. Penelitian dilaksanakan pada bulan Maret-Mei 2016. Sebanyak 34 spesies dari 21 marga, 16 keluarga, dan 5 bangsa dari jamur Basidiomycota berhasil ditemukan di daerah sawah, pekarangan, kebun, talun atau dudukan, dan hutan. Tujuh marga yang ditemukan diketahui dapat dimanfaatkan sebagai sumber makanan, yaitu supa ceuli ( Auriculari a sp.); supa amis ( Marasmiellu s sp.); supa beas ( Coprinus sp.); supa tiram ( Pleurotus sp.); supa jerami ( Volvariella sp.); suung tunggal ( Termitomyce sp.); dan supa kebo ( Boletu s sp.). Data ini menunjukkan tingginya biodiversitas jamur Basidiomycota di daerah masyarakat adat wilayah ini dan potensinya sebagai sumber makanan. Abstract Biodiversity of fungi Basidiomycota in the conservation area of Taman Nasional Gunung Halimun (TNNGHS) Salak in Lebak, Province Banten, has never been studied. This area is resided by indigenous people from Kasepuhan Cisungsang, which uses the fungi in their life. Therefore, this study was aimed at exploring the biodiversity of mushrooms (Basidiomycota) in Kasepuhan Cisungsang. The exploration was conducted from March to May 2016. A total number of 34 species which belong to 21 genera, 16 families, 5 orders were found in the rice field, yard, garden, and forest. About 7 genera are commonly consumed by the community. These include supa ceuli (Auricularia sp. ); supa amis (Marasmiellus sp .); supa beas (Coprinus sp .); supa tiram (Pleurotus sp .); supa jerami (Volvariella sp .); suung tunggal (Termitomyce sp .); and supa kebo (Boletus sp .). This study showed a high diversity of mushroom in this area and their potential as a food source.
Enabling Proactive Management of School Dropouts Using Neural Network

The growing need to use Artificial Intelligence (AI) technologies in addressing challenges in education sectors of developing countries is undermined by low awareness, limited skill and poor data quality. One particular persisting challenge, which can be addressed by AI, is school dropouts whereby hundreds of thousands of children drop annually in Africa. This article presents a data-driven approach to proactively predict likelihood of dropping from schools and enable effective management of dropouts. The approach is guided by a carefully crafted conceptual framework and new concepts of average absenteeism, current cumulative absenteeism and dropout risk appetite. In this study, a typical scenario of missing quality data is considered and for which synthetic data is generated to enable development of a functioning prediction model using neural network. The results show that, using the proposed approach, the levels of risk of dropping out of schools can be practically determined using data that is largely available in schools. Potentially, the study will inspire further research, encourage deployment of the technologies in real life, and inform processes of formulating or improving policies.
Phase Transition of a Dicyanamide with Rutile‐like Structure: Syntheses and Crystal Structures of α‐ and β‐Cd[N(CN)2]2

Cadmium dicyanamide Cd[N(CN)2]2 was synthesized through aqueous ion exchange at room temperature. A reversible phase transition was detected by in situ X-ray powder diffractometry above 55 °C. The crystal structures of both phases were determined by X-ray powder diffraction (β-Cd[N(CN)2]2: T = 22 °C, a = 621.60(3), b = 748.76(4), c = 770.21(5) pm, β = 91.784(3)°, P21/n (no. 14), Z = 2, wRp = 0.063, Rp = 0.050, RF = 0.059; α-Cd[N(CN)2]2: T = 150 °C, a = 624.62(5), b = 752.92(6), c = 768.30(7) pm, Pnnm (no. 58), Z = 2, wRp = 0.083, Rp = 0.064, RF = 0.087). Both polymorphs consist of Cd2+ and bent planar [N(CN)2]— ions. α-Cd[N(CN)2]2 crystallizes analogously to rutile and is isotypic with MII[N(CN)2]2(M = Mg, Cr, Mn, Co, Ni, Cu). The monoclinic low-temperature polymorph β-Cd[N(CN)2]2 is closely related to that of the orthorhombic high-temperature polymorph α-Cd[N(CN)2]2 by a translationengleiche transition of index 2. Phasenumwandlung eines Dicyanamides mit Rutil-artiger Struktur: Synthese und Kristallstrukturen von α- und β-Cd[N(CN)2]2 Cadmiumdicyanamid Cd[N(CN)2]2 wurde durch wasserigen Ionenaustausch bei Raumtemperatur erhalten. Eine reversible Phasenumwandlung wurde mittels in-situ-Rontgen-Pulverdiffraktometrie oberhalb von 55 °C nachgewiesen. Die Kristallstrukturen beider Phasen wurden mittels Pulver-Rontgenbeugung bestimmt (β-Cd[N(CN)2]2: T = 22 °C, a = 621, 60(3), b = 748, 76(4), c = 770, 21(5) pm, β = 91, 784(3)°, P21/n (Nr. 14), Z = 2, wRp = 0, 063, Rp = 0, 050, RF = 0, 059; α-Cd[N(CN)2]2: T = 150 °C, a = 624, 62(5), b = 752, 92(6), c = 768, 30(7) pm, Pnnm (Nr. 58), Z = 2, wRp = 0, 083, Rp = 0, 064, RF = 0, 087). Beide Polymorphe enthalten Cd2+ und gewinkelte [N(CN)2]—-Ionen. α-Cd[N(CN)2]2 kristallisiert analog Rutil und ist isotyp mit MII[N(CN)2]2(M = Mg, Cr, Mn, Co, Ni bzw. Cu). Die orthorhombische Hochtemperaturform α-Cd[N(CN)2]2 leitet sich strukturell von der monoklinen Tieftemperaturform β-Cd[N(CN)2]2 durch einen translationengleichen Ubergang vom Index 2 ab.
KQI Performance Evaluation of 3GPP LBT Priorities for Indoor Unlicensed Coexistence Scenarios

The rapid proliferation of user devices with access to mobile broadband has been a challenge from both the operation and deployment points of view. With the incorporation of new services with high demand for bandwidth such as video in 4K, it has been deemed necessary to expand the existing capacity by including new bands, among which the unlicensed 5-GHz band is a very promising candidate. The operation of future 3GPP (Third Generation Partnership Project) mobile network standards deployments in this band implies the coexistence with other technologies such as WiFi, which is widespread. In this context, the provision of Quality of Service (QoS) or Quality of Experience (QoE) becomes an essential asset and is a challenge that has yet to be overcome. In this sense, 3GPP has proposed a traffic prioritization method based on the Listen Before Talk access parameters, defining a series of priorities. However, it does not specify how to make use of them, and even less so in potentially conflicting situations. This paper assesses the end-to-end performance of downlink unlicensed channel priorities in dense scenarios via implementing a novel simulation setup in terms of both multi-service performance and coexistence.
Shikimic Acid:A Highly Prospective Molecule in Pharmaceutical Industry

Shikimic acid (SA) is the key intermediate in the common pathway of aromatic amino acid biosynthesis (the shikimate pathway). The benzene ring, the basic unit of all aromatic compounds, is formed in plants and microorganisms through the shikimate pathway and the intermediate SA is an extremely essential compound in plants and microbes. The most important use of SA is as a substrate for the chemical synthesis of the drug oseltamivir, commercially known as Tamiflu ® , an efficient inhibitor of the human influenza virus H1N1 of swine origin, seasonal influenza virus types A and B, and avian influenza virus H5N1. The fruits of the Chinese star anise ( Illicium verum ) contain SA to the extent of 17.14% on dry wt. basis and this is now the main source for commercial production of SA. The demand for Tamiflu ® has increased tremendously and the pharmaceutical industry is unable to meet this demand due to shortage of SA. Therefore, significant attention needs to be paid towards the development of new technologies for the production of SA from available sources and to find alternative sources.
The Initial Deposition Behavior of Silica Colloid and Amino-Modified Silica Colloid in Unsaturated Sand Columns

Colloid transport experiments focusing on the initial deposition stage in water-unsaturated sand columns were conducted. To examine the effect of electrostatic interaction in the unsaturated condition, negatively and positively charged silica colloids were used for column transport experiments under different salt concentrations. The results of the column experiments were analyzed based on the colloid filtration theory and the deposition rate constants, and the single collector efficiency was calculated. The deposition rate constants of both negatively and positively charged silica in a water-unsaturated condition are larger than those in a water-saturated condition at an equivalent salt concentration, because the interface between air and water acts as an additional deposition site. The negatively charged silica shows the salt concentration, above which electric double layer (EDL) repulsion can be neglected, and the salt concentration is called critical deposition concentration (CDC). The CDCs were almost the same values in water-saturated as well as unsaturated conditions. The deposition rate constants of the positively charged silica were slightly increased at 0.05 mM due to the EDL attractive forces in the saturated condition. However, we could not see the significant effects of the EDL attractive force in the unsaturated condition in this study. Also, the present results demonstrated that a correlation equation for calculating collector efficiency can be applied to the non-spherical collector particles.
The Electronic Media Fast and Student Well-Being: An Exercise in Transformational Teaching

Introduction: In the past decade, use of screen media has increased dramatically among young adults. Statement of Problem: Mounting evidence suggests that high levels of media use are associated with a range of negative psychological outcomes. Literature Review: We present instructions for a four-day electronic media fast assigned in a course module on positive psychology. Drawing from student accounts and direct classroom observations, we illustrate student experiences that suggest substantial positive changes in learning, media habits, and well-being. Teaching Implications: An electronic media fast is an easily implemented class assignment which enables students to reflect on their media use and make adjustments to support their learning and well-being. It is appropriate for use in a range of undergraduate psychology courses including introductory psychology, social psychology, psychology of adolescence, and positive psychology. Conclusion: When undertaken with a flexible, sensitive, and collaborative approach, a media fast can be a powerfully transformative learning experience.
A Brief Analysis of AI Curricula Construction and Development Orientation from the Perspective of Innovation and Entrepreneurship Education

The advent and booming development of the artificial intelligence has opened up new fields and opportunities for innovation and entrepreneurship education in Institutions of higher learning. By March 2018, 32 colleges and universities had set up Institute of artificial intelligence. This paper based on the analysis of the importance of incorporating entrepreneurship education into AI curriculum puts forward and elaborates the methods and paths of integrating innovation and entrepreneurship education into AI curriculum.
The current composition of the family Gobiidae Cuvier, 1816 (Actinopterygii) in waters of Ukraine with comments on species distributions

The current composition of the family Gobiidae Cuvier, 1816 (Actinopterygii) in waters of Ukraine with comments on species distributions. — L. Manilo. — The present paper is devoted to a literature-based retrospective analysis of changes in the species composition of the family Gobiidae of waters of Ukraine since the 1930s. Keys and checklists published earlier cover the fish fauna of separate regions of Ukraine, either only of river basins or of coastal waters of the Black Sea and the Sea of Azov. The first checklist of fishes of Ukraine was published by academician A. M. Nikolsky in 1930 including both freshwater and marine species known in that time. In that work, the family Gobiidae includes 23 species of 7 genera. In the paper by D. A. Tretyakov (1947), 23 species of 10 genera of true gobies are listed for waters of Ukraine with some changes in the species composition. In one of the volumes of the series “Fauna of Ukraine. Fishes” devoted to true gobies (Smirnov 1986), data on 25 species of 11 genera are presented. According to the data by Yu. Movchan (2011), the composition of the family largely expanded comprising 33 species of 13 genera, including 5 marine species that were recorded in that time in coastal waters of the Crimea as well as 1 newly described species from the Chorna River. Later, five more marine species, known earlier only in the Mediterranean Basin, were found in waters of Ukraine, as well as another species in the Sea of Azov. It was established that the current fish fauna of the family Gobiidae of Ukraine includes 38 species of 17 genera, according to the literature and data from the fish collection of the National Museum of Natural History NAS of Ukraine (Kyiv). The geographic range and distribution of each species in waters of Ukraine are presented. The fauna of true gobies of Ukraine is composed of species of the Ponto-Caspian (52.6 %) and Atlantic-Mediterranean (47.4 %) faunal complexes. Endemics (4 species) are highlighted along with recent intruders of the Black Sea that have appeared here since the early 2000s (8 species); the time of appearance for 2 species remains unknown.
Air Pollution-Related Brain Metal Dyshomeostasis as a Potential Risk Factor for Neurodevelopmental Disorders and Neurodegenerative Diseases

Increasing evidence links air pollution (AP) exposure to effects on the central nervous system structure and function. Particulate matter AP, especially the ultrafine (nanoparticle) components, can carry numerous metal and trace element contaminants that can reach the brain in utero and after birth. Excess brain exposure to either essential or non-essential elements can result in brain dyshomeostasis, which has been implicated in both neurodevelopmental disorders (NDDs; autism spectrum disorder, schizophrenia, and attention deficit hyperactivity disorder) and neurodegenerative diseases (NDGDs; Alzheimer’s disease, Parkinson’s disease, multiple sclerosis, and amyotrophic lateral sclerosis). This review summarizes the current understanding of the extent to which the inhalational or intranasal instillation of metals reproduces in vivo the shared features of NDDs and NDGDs, including enlarged lateral ventricles, alterations in myelination, glutamatergic dysfunction, neuronal cell death, inflammation, microglial activation, oxidative stress, mitochondrial dysfunction, altered social behaviors, cognitive dysfunction, and impulsivity. Although evidence is limited to date, neuronal cell death, oxidative stress, and mitochondrial dysfunction are reproduced by numerous metals. Understanding the specific contribution of metals/trace elements to this neurotoxicity can guide the development of more realistic animal exposure models of human AP exposure and consequently lead to a more meaningful approach to mechanistic studies, potential intervention strategies, and regulatory requirements.
Note on the Type 2 Degenerate Multi-Poly-Euler Polynomials

Kim and Kim (Russ. J. Math. Phys. 26, 2019, 40-49) introduced polyexponential function as an inverse to the polylogarithm function and by this, constructed a new type poly-Bernoulli polynomials. Recently, by using the polyexponential function, a number of generalizations of some polynomials and numbers have been presented and investigated. Motivated by these researches, in this paper, multi-poly-Euler polynomials are considered utilizing the degenerate multiple polyexponential functions and then, their properties and relations are investigated and studied. That the type 2 degenerate multi-poly-Euler polynomials equal a linear combination of the degenerate Euler polynomials of higher order and the degenerate Stirling numbers of the first kind is proved. Moreover, an addition formula and a derivative formula are derived. Furthermore, in a special case, a correlation between the type 2 degenerate multi-poly-Euler polynomials and degenerate Whitney numbers is shown.