Miracle-dz/UniFAR-FTUs huggingface dataset:
Neural Network Technology in Music Emotion Recognition

Music plays an important role in human history, especially in the digital age. Now the number of music is growing exponentially, while the demand for music organization, classification and retrieval is increasing. The classification and retrieval based on music emotion is different from the traditional classification and retrieval method based on music text. It pays more attention to the emotional expression of creators and the unique characteristics of music in psychology. It is also an indispensable personalized demand for users. Therefore, more and more attention has been paid. This paper analyzes the current research situation of music emotion recognition at home and abroad, and summarizes the existing emotional models, data sets, music features, machine learning algorithms, system frameworks in the study of music emotion recognition. According to these characteristics, we choose to use machine learning to recognize music emotion. According to the experiment, the accuracy of the SVM algorithm is 88, the recognition rate of happy emotion is 90, and the recognition rate of anger is 75.
Naphthalene-cholesterol conjugate as simple gelator for selective sensing of CN– ion

Abstract Cholesterol-based Schiff base 1 has been designed and synthesised. The Schiff base 1 forms yellow coloured gel in DMF:H2O (2:1, v/v) and the gel is anion responsive. Among different anions, the gel phase of 1 is selectively transformed into sol in the presence of CN– ions and validates its visual sensing. 1H NMR, FTIR and HRMS spectroscopic techniques were adopted to study the gelation of 1 and its responsive behaviour towards anions. Cholesterol-based Schiff base 1 has been designed and synthesized. The Schiff base 1 forms yellow colored gel in DMF: H2O (2:1, v/v) and the gel is anion responsive. Among different anions, the gel phase of 1 is selectively transformed into sol in the presence of CN- ions and validates its visual sensing.
Intravenous versus Intra-Articular Tranexamic Acid in Primary Total Hip Arthroplasty: A Prospective Randomised Double Blinded Non-Inferiority Trial

Background: Tranexamic acid (TXA) has been shown to be effective in reducing post-operative blood loss after hip replacement surgery. Clinicians can be reluctant to administer intravenous (IV) TXA to high risk patients and intra-articular (IA) administration has been proposed as an alternative mode of delivery. This study was conducted to compare the efficacy of IV versus IA administration of TXA. This prospective, double blinded, randomised non-inferiority trial, compared 69 patients undergoing primary total hip arthroplasty (THA) who received either 3 doses of 15mg/kg of IV TXA or 3 g of IA TXA after capsular closure. The primary outcomes were change in Hb and the rate of blood transfusion. The secondary outcome was the rate of VTE. Results: The mean haemoglobin level change from pre-operative to day 1 post-operative for the IV group was 26.7g/L and for IA group was 27.3g/L. No statistically significant difference was detected between the two groups (p=0.82). No patients required a transfusion or developed a VTE. Conclusions: IA administration of TXA can be equally effective as IV in the reduction of blood loss and the prevention of post-operative anaemia in primary THA. Background
Research Hotspots and Trends on TPACK in WOS Based on Visual Analysis

This study adopted the bibliometric method to visually analyze 844 articles of TPACK from 2009 to 2020 in core collection database of Web of Science (WOS). The Visual analysis is conducted on the authors, research organizations, articles and keywords using CiteSpace to explore research hotspots and trends in research of TPACK in WOS. This paper reveals the most influential authors and institutions, highly cited articles, research hotspots and trends of TPACK research. The findings show that the research on TPACK has been moving forward and making significant development. The core author Ching Sing Chai of Nanyang Technological University is a typical representative, having published lots of influential articles. Nanyang Technological University is also the most influential institution. We can see that not only TPACK and PCK are the hotspots of research, but also “digital competence”, “educational technology” and “learning by design” are hot research topics. “Learning activity”, “professional knowledge”, “pedagogical model”, “teaching materials” are all the research trends of TPACK. Researchers are likely to integrate TPACK with more disciplines to enhance the applicability of TPACK and enlarge the research scope of TPACK in the future.
An implicit bounding formulation for the volume fraction equation in multiphase flows

Abstract The solution of the volume fraction equations in multiphase flows has to satisfy geometric conservation, that is, the volume fraction fields at each control volume sum to 1. Enforcing this constraint on the volume fraction fields is critical for all multiphase flow applications especially for cases involving mass transfer. This article reviews some of the techniques used to enforce geometric conservation when solving the volume fraction equations for general multiphase flows, including free surface flows. An implicit method is then introduced and applied to a number of multiphase and free surface flow problems. It is compared to the current explicit approaches and its effectiveness in enforcing the geometric conservation demonstrated.
Features of Microclonal Reproduction and Organogenesis of the Far Eastern Species Aristolochia Manshuriensis Kom. as a Biological Resource

Plants of Manchurian birthwort (Aristolochia manshuriensis Kom), obtained under in vitro conditions, are characterized by a high potential for accelerated reproduction by weakening the action of their growth hormones during a certain period of phenological development and as a result of a response to the presence of 1mg/l IMK in the nutrient medium. Thus, the microplants can adapt to the conditions of the closed soil, while the total percentage of survival is 49.12%.
Salt Iodization and Urinary Iodine Concentration Levels among Primary School Children in Mt. Elgon Sub-County, Kenya

Aims: Iodine plays a key role in thyroid hormone production and functioning. Inadequate iodine intake results in iodine deficiency (ID) which impairs the normal functioning of the thyroid. The deficiency is responsible for damage to brain development, growth retardation, cretinism, and thyroid dysfunction. Millions of people have been condemned to a life of few prospects and continued underdevelopment due to ID. The study was conducted to assess iodine status among primary school children in the Mt. Elgon region and the impact of salt iodization on this status. Study Design: A school-based cross-sectional descriptive study to assess iodine status among primary school children was employed in the study. Study Area and Duration: The study was carried out in Kenya, Bungoma County, Mount Elgon Sub-County. The study period was between 27th November 2018 and 26th November 2019. Original Research Article Onteri et al.; AFSJ, 20(1): 10-17, 2021; Article no.AFSJ. 64505 11 Methodology: Healthy primary school children aged 6 to 12 years who met the inclusion criteria were included in the study. Spot urine samples were collected in schools, while water samples were collected from different water sources. Salt was collected from households (HH) and at distribution outlets. The Sandell Kolthoff reaction was used to analyse urine and water samples while salt was analysed using iodometric titration. Results: The median urinary iodine concentration (UIC) was 200.7 μg/l. Out of which 0.55% were severely deficient, 5.25% moderately deficient, 18.23% with a mild deficiency, 25.69% had adequate iodine levels, 22.38% had more than adequate, and 27.90% had excess iodine levels. Household and salt samples from different distribution outlets that conformed to set standards of iodization were 49.4% and 63.64%, respectively. Iodine was not detected in all the water samples collected. Conclusion: The study population was found to have adequate iodine based on the median UIC of 200.7 μg/l. However, there was a coexistence of both deficiency and excessive UIC and salt iodization within the population. No iodine was detected in the water samples in the region.
Next Generation Digital Forensic Investigation Model (NGDFIM) - Enhanced, Time Reducing and Comprehensive Framework

Rapid technological advancement can have a substantial impact on the process of digital forensic investigation and presents numerous challenges to the investigator. With these challenges, it is imperative to have a standard framework for the digital forensic investigation to be implemented within most incidents. This induces a great stride to formulate a nonspecific framework that may be applied to most digital investigation procedures. The Next Generation Digital Forensic Investigation Model (NGDFIM) formalizes the framework to facilitates the practitioners in the investigation process. This framework could potentially generate more evidence during the incidence response through on-site triage as compared to conventional investigations process. Moreover, the framework diminishes the analysis time and provides the suspect with privacy protection by incorporating custom content imaging.
Damage Detection in Multiple RC Structures Based on Embedded Ultrasonic Sensors and Wavelet Transform

This paper summarizes the results of research aimed at assessing cracks in reinforced concrete structures using embedded ultrasonic sensors. The diffuse ultrasonic waves were considered to evaluate the health status of the tested structures. There are different algorithms used to detect cracks in the structure, but most studies have been performed on benchmark reinforced concrete (RC) structures and in laboratory conditions. Since there were difficulties with the validity of damage detection in real structures in the presence of environmental changes and noises, the application of advanced signal processing methods was necessary. Therefore, the wavelet transform was applied to process ultrasonic signals acquired from multiple civil structures. It is shown that the ultrasonic sensors with an applied wavelet transform algorithm on collected signals can successfully detect cracks in the laboratory as well as in a real environment. Experimental results showed a perfect match for detecting damage and quasi-static load in the presence of environmental changes. The results were confirmed with other techniques. In addition, designing an extra filter for removing noises can be avoided by using the applied algorithms. The obtained results confirmed that diffuse ultrasonic sensor methodology with the proposed algorithm is useful and effective in monitoring real RC structures, and it is better than traditional techniques.
Biocatalytic Approach for Novel Functional Oligoesters of ε-Caprolactone and Malic Acid

Biocatalysis has developed in the last decades as a major tool for green polymer synthesis. The particular ability of lipases to catalyze the synthesis of novel polymeric materials has been demonstrated for a large range of substrates. In this work, novel functional oligoesters were synthesized from e-caprolactone and D,L/L-malic acid by a green and sustainable route, using two commercially available immobilized lipases as catalysts. The reactions were carried out at different molar ratios of the comonomers in organic solvents, but the best results were obtained in solvent-free systems. Linear and cyclic oligomeric products with average molecular weights of about 1500 Da were synthesized, and the formed oligoesters were identified by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis. The oligoester synthesis was not enantioselective in the studied reaction conditions. The operational stability of both biocatalysts (Novozyme 435 and GF-CalB-IM) was excellent after reutilization in 13 batch reaction cycles. The thermal properties of the reaction products were investigated by thermogravimetric (TG) and differential scanning calorimetry (DSC) analysis. The presence of polar pendant groups in the structure of these oligomers could widen the possible applications compared to the oligomers of e-caprolactone or allow the conversion to other functional materials.
Evaluasi Sistem Penyediaan Air Minum Berbasis Masyarakat di Kecamatan Krembung, Kabupaten Sidoarjo

Berdasarkan RPJMN tahun 2015 – 2019, diharapkan akses air minum dapat mencapai 100%. Namun terhitung sejak Mei 2019, PDAM Delta Tirta Sidoarjo hanya mampu melayani kebutuhan air minum sebesar 37%. Memperhatikan hal tersebut, Pemerintah Kabupaten Sidoarjo mencanangkan program Penyediaan Air Minum Berbasis Masyarakat (PAMSIMAS) salah satunya di Kecamatan Krembung. Penelitian ini dilakukan untuk mengevaluasi penerapan sistem penyediaan air minum ditinjau dari aspek teknis dan non teknis. Dalam penerapannya, terdapat kendala tingkat pelayanan akibat rendahnya kemauan masyarakat untuk menjadi pelanggan. Hal ini disebabkan oleh buruknya kualitas air, keterbatasan jaringan distribusi yang tersedia, dan sistem tata kelola PAMSIMAS yang kurang optimal. Hasil dari analisis kualitas air menunjukkan bahwa parameter kekeruhan, warna, besi, mangan, dan total koliform tidak memenuhi baku mutu. Persentase kemauan masyarakat untuk menjadi pelanggan adalah sebesar 47%. Sedangkan kemampuan untuk membayar tarif sebesar 68%. Solusi dan rekomendasi yang dapat diterapkan adalah membangun unit pengolahan air minum. Selain itu dapat dilakukan dengan mengembangkan jaringan dan sistem baru, menambah jumlah pengelola termasuk meningkatkan kinerja melalui pelatihan dan penempatan sesuai bidang, serta melakukan sosialisasi.
A Multi Target Algorithm for Image Target Tracking

As technology advances, improving the accuracy of image target tracking is extremely important for medicine, aerospace and military, industry and agriculture. Image target tracking usually apply the method of manual extraction, which is not only a waste of time and power, but also has many difficulties in extraction. However, multi target algorithm can make up for its shortcomings, and multi target algorithm develops from underlying characteristics to multi-level, abstract features in the form of data. This paper, proposed a novel multi target algorithm for image target tracking for solving the above shortcomings. In the multi-target tracking problem, the random set is actually the number of elements and a set of random variables. When the number of targets is unknown or changing, the number of targets is a discrete random variable, the dimension of the state space will be different with the target value of the number of changes, so the multi target state model and observation model can be expressed as random finite sets form. Simulation results show that compared with traditional method, this method has higher accuracy and low loss rate.
Modelos de jardins verticais como bioindicadores da qualidade atmosférica em área urbana em Maceió – Alagoas - Brasil

A construcao de jardins verticais e o estudo envolvendo diversas especies de insetos e plantas para monitoracao ambiental substituem o uso de metodologias que empregam recursos quimicos, fisicos ou fisico-quimicos, por aparelhos, que em muitos casos sao sofisticados e caros, sendo o biomonitoramento um topico relativamente novo nas ciencias ambientais, pois se baseia em metodologias simples pelas respostas dos sistemas biologicos de modo integrado, a acao de varios poluentes ao mesmo tempo e em condicoes atmosfericas reais. O biomonitoramento ativofoi avaliado em cinco especies vegetais bioindicadoras: T. pallida, T. zebrina, J. brandejeana,L. câmara eR. nasturtium aquaticum. Foram realizadas medidas de crescimento; quantificacao e caracterizacao de estomatos das especies; determinacao das ordensde insetos com concentracoes de metais pesados. Os resultados indicaram que os estomatos das folhas das especies vegetais bioindicadoras R. nasturtium aquaticumapresentou estomatos em ambas as epidermes, porem preferencialmente em maior numero na superficie adaxial independente do local de cultivo, diferentemente das outras especies, que por motivo da propria especie ou por plasticidade, tiveram maiores quantidades de estomatos encontrados na superficie abaxial, justificando uma protecao ao sistema de captacao gasosa dos poluentes atmosfericos de forma que as taxas fotossinteticas possam ocorrer normalmente. E possivel concluir que as plantas usadas nesse estudo sofreram adaptacoes e sao fontes bioindicadoras de poluicao ambiental; Em todas as ordens de insetos houve variacao nos niveis de concentracoes de metais pesados, entretanto ainda nao existemna Legislacao Brasileira indices especificos de poluicao nos invertebrados, dessa forma, no presente estudo foram feitas comparacoes com outros estudos relacionados ao tema.
Beyond land use mix, walkable trips. An approach based on parcel-level land use data and network analysis

ABSTRACT Land use mix is one of the cornerstones for urban sustainability, in opposition to functional segregation and zoning policies. Land use mix is a prerequisite for urban proximity dynamics, healthier lifestyles and public space vitality. However, methodological shortcomings to its measurement remain and are responsible for the unexpected weak association with pedestrian activity. This study puts forward a novel method to reframe, measure and map land use mix as ‘walkable trips’, a closer approach to its benefits based on functional and spatial complementarity. The method draws on newly available cadastral microdata at the parcel-level that, combined with trip generation rates and network analysis tools, enable a detailed assessment and mapping of potential for walkable trips, as well as a proxy to the spatial patterns of urban vitality, in line with the principle of the 15-minute city. The method is applied to the case of the Madrid metropolitan area.
Bifunctional Device with High‐Energy Storage Density and Ultralow Current Analog Resistive Switching

A bifunctional device capable of simultaneously achieving dielectric energy storage and resistive switching is first designed and fabricated based on a conventional metal–insulator–metal (MIM) structure. Typically, Al/TaOx/Pt structure shows a high breakdown strength up to 5.07 MV cm−1 and a relatively high‐energy density of 27.6 J cm−3. Meanwhile, the leakage current of the MIM structure is at the sub‐nanoampere level and exhibits the typical characteristic of analog switching under an applied voltage of about 12 volts. The energy density and the switching current in the developed integrated MIM structure are comparable to the corresponding performances in discrete binary oxides capacitors with linear dielectric and oxide‐based memristors, respectively. Furthermore, synaptic functions with short‐term and long‐term plasticities can be realized. Both of the device properties are found to be correlated to the role of the AlOx interfacial layer between the Al electrode and the dielectric layer, which provides the possibility of coupling between these two functions coexisting in the MIM structure. The prototypical bifunctional device offers a great prospect for multifunctional energy and neuromorphic applications.
Effect of Pitch Control on the Performance of an Offshore Floating Multi-Wind-Turbine Platform

The extraction of wind energy from more reliable deep-water offshore wind resources can be advanced by using a multi-wind turbine platform that can reduce mooring and installation costs. This paper describes the results of research aimed at designing a novel semi-submersible platform for placing multiple wind turbines. The offshore floating multi-wind-turbine platform (OFMWTP) hosts five 8 MW wind turbines which is proposed for installing on the gulf coast of the United States. The principal problems that have been addressed here include analyzing the effects of blade pitch control on the performance of the OFMWTP in the above-rated wind speed operating conditions. In this process, the adaptive control techniques vary the blade pitch angle for generating optimum power production and reduce platform motions. The coupled dynamics of the wind turbines with the platform are formulated considering the aerodynamic, hydrostatic, hydrodynamic, and mooring forces. In this study, the adaptive control algorithm designed in previous work is used for the blade pitch control. The wind speed distribution with 15% turbulence intensity and irregular waves with zero degrees incident wave angle is used for simulating the operating conditions. The performance of the adaptive control is compared to a baseline proportional-integral (PI) controller. Simulation results showed that the adaptive controller significantly improves the rotor speed regulation and reduces the fluctuations in generated output power under varying operating conditions.
Ageing consumers and e-commerce activities

Abstract Technology, and particularly the internet, has transformed consumer and business behaviours. An ageing population is impacted by these contextual and operational changes. Understanding these impacts within an ageing population is important for businesses, organisations and individuals, and their e-commerce activities. Our study increases understanding about the online behaviour of older consumers. Our research question is: what is the impact of age and individual and household characteristics on the online behaviour of older consumers? This is important given the increasing assumption that all consumers are digitally enabled. We use data from the first wave of an innovative longitudinal study in Scotland (HAGIS – Healthy Ageing in Scotland) to explore ageing consumers and e-commerce activities. The United Kingdom (including Scotland) is the world's third largest e-commerce market, thus providing a suitable context. Our findings point to a shifting relationship between ageing consumers and e-commerce activities. Age is related to e-commerce activities but the ‘break-point’ for these activities is older than normally identified in academic and business practice. Sex is not a differentiator of activity but marital status is. Age and the contextual situation impact e-commerce, and have implications for access and capability, and link to questions over isolation. Important issues are raised for business and organisational practice, around service and other delivery for older people.
The Fascinating Bird’s Nest Mushroom, Secondary Metabolites and Biological Activities

Background: Mushrooms are generous source of nutritional and medicinal compounds. Bird’s nest fungi are a gasteromyceteous group of mushrooms named for their similarity in shape to small bird’s nests. They are considered from the tiniest and most interesting mushrooms all over the world. It is usually found in shady moist environments, and typically survive on plant debris, soil, decaying wood, or animal’s excrement. Bird’s nest mushrooms are inedible, though they were not previously reported to be poisonous, due to their tiny size. Object: this review aims to put bird’s nest mushrooms under light spot through describing their morphology and ecology especially of the most common fungus, Cyathus haller. Moreover, discussing important secondary metabolites and biological activities exerted by bird’s nest mushrooms. Conclusion: bird’s nest mushrooms are able to produce many novel and potent secondary metabolites that exerted different bioactivities especially as antimicrobial, antitumor, and anti-neuro inflammation activities. Further studies and investigations are encouraged in order to find more about this interesting tiny mushroom.