Miracle-dz/UniFAR-FTUs huggingface dataset:
A Time-Driven Cloudlet Placement Strategy for Workflow Applications in Wireless Metropolitan Area Networks

With the rapid development of mobile technology, mobile applications have increasing requirements for computational resources, and mobile devices can no longer meet these requirements. Mobile edge computing (MEC) has emerged in this context and has brought innovation into the working mode of traditional cloud computing. By provisioning edge server placement, the computing power of the cloud center is distributed to the edge of the network. The abundant computational resources of edge servers compensate for the lack of mobile devices and shorten the communication delay between servers and users. Constituting a specific form of edge servers, cloudlets have been widely studied within academia and industry in recent years. However, existing studies have mainly focused on computation offloading for general computing tasks under fixed cloudlet placement positions. They ignored the impact on computation offloading results from cloudlet placement positions and data dependencies among mobile application components. In this paper, we study the cloudlet placement problem based on workflow applications (WAs) in wireless metropolitan area networks (WMANs). We devise a cloudlet placement strategy based on a particle swarm optimization algorithm using genetic algorithm operators with the encoding library updating mode (PGEL), which enables the cloudlet to be placed in appropriate positions. The simulation results show that the proposed strategy can obtain a near-optimal cloudlet placement scheme. Compared with other classic algorithms, this algorithm can reduce the execution time of WAs by 15.04–44.99%.
Shift in archaeal community along a soil profile in coastal wheat‐maize rotation fields of different reclamation ages

Coastal mudflats reclamation activities show a strong influence on soil properties and microbial community activity, which drive soil carbon and nitrogen cycling. Studies have found there is a shift of bacterial community with reclamation time. However, effects of reclamation time on the soil archaeal community are still largely unknown. Here, we determined soil properties and archaeal community in the soil profiles (0–15, 15–30, 30–45 cm) of different reclaimed sites with different reclamation ages (R12: 12‐year; R38: 38‐year; R68: 68‐year; R100: 100‐year) in Rudong County, Jiangsu, China. Soil archaeal communities were identified via Illumina high‐throughput sequencing. Soil archaeal communities were dominated by two phyla, the Crenarchaeota (82.1–93.3%) and Thermoplasmatota (4.2–17.9%), which are associated with nitrogen cycle (Nitrosopumilaceae, Nitrososphaeraceae, and Nitrosotaleaceae) and organic carbon metabolism (Marine_Group_II), respectively. Ammonia oxidizing archaea showed a divergent response to the reclamation, i.e. Nitrosotaleaceae increased with reclamation time whereas Nitrosopumilaceae showed a decreasing trend. Soil total carbon, total nitrogen, pH, EC, C:N ratio, NO3−‐N content, soil moisture, depth, and reclamation age determined archaeal community distribution in our reclaimed sites. Our findings suggest that both reclamation time and soil depth significantly shaped the archaeal community composition, and then in turn modulated soil carbon and nitrogen cycling in the reclaimed mudflats.
Machine Learning in Robot-Assisted Upper Limb Rehabilitation: A Focused Review

Robot-assisted rehabilitation, which can provide repetitive, intensive, and high-precision physics training, has a positive influence on the motor function recovery of stroke patients. Current robots need to be more intelligent and more reliable in clinical practice. Machine learning algorithms (MLAs) are able to learn from data and predict future unknown conditions, which is of benefit to improve the effectiveness of robot-assisted rehabilitation. In this article, we conduct a focused review on machine learning-based methods for robot-assisted upper limb rehabilitation. First, the current status of upper rehabilitation robots is presented. Then, we outline and analyze the designs and applications of MLAs for upper limb movement intention recognition, human–robot interaction control, and quantitative assessment of motor function. Meanwhile, we discuss the future directions of MLAs-based robotic rehabilitation. This review article provides a summary of MLAs for robotic upper limb rehabilitation and contributes to the design and development of future advanced intelligent medical devices.
Ubiquitous Wireless Power Transfer for Multiple Mobile Devices

We propose two new computational problems associated with the charging of mobile devices using wireless power transfer via magnetic induction. Algorithms for these problems may enable ubiquitous charging, meaning the user is no longer required to be aware of the devices charging processes. We prove both problems as being NP-Hard and propose three dynamic programming algorithms to solve them in linear time regarding the size of the time horizon. We also propose three greedy algorithms for the problems. Experiments indicate that the best dynamic-programming algorithm among those proposed reaches between 89% and 97% of effectiveness, while the best greedy reaches between 74% and 92%, depending on the considered scenario.
Credibility assessments of alibi accounts: the role of cultural intergroup bias

Research has shown that judges and jurors are influenced by suspect ethnicity and that they might discriminate against out-group suspects in making decisions. This study examined the tendency to favor in-group members, as predicted by social identity theory, in assessing alibi credibility. Forty Israeli-Jewish and 40 Israeli-Arab participants assessed the credibility of an alibi statement provided by a suspect who was either Israeli-Jewish or Israeli-Arab. Findings show that participants were more likely to believe the alibi when it was provided by an in-group suspect than by an out-group suspect, supporting intergroup bias in alibi credibility assessments. Practical and theoretical implications are discussed.
C2-Symmetric (SO)N(SO) Sulfoxide Pincer Complexes of Mg and Pd: Helicity Switch by Ambidentate S/O-Coordination and Isolation of a Chiral Pd-Sulfenate

Quinine-based (R)-tert-butylsulfinate 3 reacts with tris-lithiated bis-arylamide 2 to afford gram-quantities of optically pure (S*O)N(S*O) sulfoxide pincer ligand (R,R)-4. Deprotonation of (R,R)-4 and p-Tol-substituted analogue (S,S)-5 with MgPh2 and BnK yields respective Mg and K amido-bis-sulfoxides 6–9. In Mg complexes 6 and 7, the sulfoxide functions are O-coordinated, thereby imparting a pronounced helicity to the ligand backbone. Transmetalation of 6 and 7 with [PdCl2(NCPh)2] affords the S,S-coordinated C2-symmetric and the O,S-coordinated C1-symmetric chlorido complexes 10 and 11, respectively, and reaction of potassium amides 8 and 9 with [PdCl(CH3)(COD)] leads to methyl-palladium pincer complexes 12 and 13, respectively. The crystal structures of 6, 7, 12, and 13 reveal a chameleonic ligand system with predictable behavior: (R)-configured 4 induces pronounced λ backbone helicity in the O-coordinated Mg-complex and weaker δ helicity in S-coordinated Pd-complexes, while (S)-configured ligand 5 mirr.
Desafios na Gerência de Estacionamentos por Imagem

Com o aumento na população urbana, as cidades tem grande necessidade de utilizar métodos apoiados por técnicas de Inteligência Artificial para melhorar a mobilidade urbana em trânsitos cada vez mais congestionados pelo crescente número de veículos em circulação. Estudos demonstram que o problema de congestionamento de trânsito é agravado em até 30% por veículos procurando vagas de estacionamento. Neste artigo sumarizamos problemas em aberto na gerência de vagas de estacionamento por imagem e listamos nossos esforços de pesquisa combinando técnicas de aprendizado de máquina, edge computing e processamento de imagens.
The Journal of Social Media for Learning 2021 Summer. Complete V2(1) Edition

Welcome to The Journal of Social Media for Learning.This link provides access to the complete edition of our 2021 Summer Edition.Our ethos is centred around the creation of a supportive space where all colleagues, but particularly those new to publishing, can contribute to the scholarly discourse about their academic practice, and if they so wish secure opportunities to gain experience of peer-review and journal editing.To access individual papers please visit the journal website here:https://openjournals.ljmu. ac.uk/index.php/JSMLISSN: 2633-7843
Effects of vegetative mulches on growth of indigenous crops in the Kingdom of Tonga

As in many areas of the developing world, intensification of agriculture in Tonga, and other Pacific Islands, has put increased pressure on the soil resource. Two experiments were conducted to evaluate the effect of mulch on the growth and yield of two important food and fibre crops. The first was conducted on sloping land to evaluate the effect of guinea grass (Megathyrsus maximus) mulch and hedgerows on taro [Colocasia esculenta (L.) Schott] yield, and in controlling soil erosion. The second compared the response of paper mulberry [Broussonetia papyrifera (L) Ventenot] to different management regimes of a grass fallow. Thick vegetative mulch increased taro corm yield by 81% and reduced soil loss by 50% compared to local farmer practice, and the soil loss from taro with mulch was comparable to the perennial cash hedgerow treatment. Mulch increased paper mulberry bark yield by 30% compared to the non‐mulch control. Comparative economic analysis showed that increased net profit in the mulched treatments compared to the non‐mulched control was T$2660/ha for taro and T$12 108/ha for paper mulberry. Considering that mulch is readily available to many farmers throughout the Pacific Islands and elsewhere in the tropics, it is recommended as a sustainable practice for crop production.
Solid state green synthesis and catalytic activity of CuO nanorods in thermal decomposition of potassium periodate

The present study reports a facile solid state green synthesis process using the leaf extracts of Hibiscus rosa-sinensis to synthesize CuO nanorods with average diameters of 15–20 nm and lengths up to 100 nm. The as-synthesized CuO nanorods were characterized by x-ray diffraction, Fourier transform infrared spectroscopy, transmission electron microscopy and selected area electron diffraction. The formation mechanism of CuO nanorods has been explained by involving the individual role of amide I (amino groups) and carboxylate groups under excess hydroxyl ions released from NaOH. The catalytic activity of CuO nanorods in thermal decomposition of potassium periodate microparticles (µ-KIO4) microparticles was studied by thermo gravimetric analysis measurement. The original size (~100 µm) of commercially procured potassium periodate was reduced to microscale length scale to about one-tenth by PEG200 assisted emulsion process. The CuO nanorods prepared by solid state green route were found to catalyze the thermal decomposition of µ-KIO4 with a reduction of 18 °C in the final thermal decomposition temperature of potassium periodate.
Uso de técnicas de processamento de linguagem natural para identificação de similaridade de serviços públicos

A procura e a oferta por serviços públicos digitais estão se difundindo globalmente e foram potencializados com os efeitos da pandemia. De forma geral, a descrição de um serviço público possui palavras chaves e dados específicos que caracterizam o seu propósito. Este trabalho usa técnicas de processamento de linguagem natural nessas informações textuais e realiza análise de similaridade entre os serviços públicos para gerar recomendação, baseada em conteúdo, dos serviços ao cidadão. Os resultados demonstraram ser possível encontrar similaridade entre os 71 serviços analisados que possibilita personalizar conteúdo ao cidadão recomendando serviços públicos similares ao que ele geralmente utiliza.
An Overview of the Main Trends in the Creation of Biodegradable Polymer Materials

Plastic is one of the most demanded materials on the planet, and the increasing consumption of which contributes to the accumulation of significant amounts of waste based on it. For this reason, a new approach to the development of these materials has been formed: the production of polymers with constant operational characteristics during the period of consumption and capable of then being destroyed under the influence of environmental factors and being involved in the metabolic processes of natural biosystems. The paper outlines the prerequisites for the development of the field of creating biodegradable composite materials, as well as the main technical solutions for obtaining such polymeric materials. The main current solutions for reducing and regulating the degradation time of polymer materials are presented. The most promising ways of further development of the field of bioplastics production are described. Common types of polymers based on renewable raw materials, composites with their use, and modified materials from natural and synthetic polymers are considered.
What Role Do Language Learning Mindsets Play in English Medium Instruction? A Comparison of Engineering and Business Administration in Turkey

This article explores the relationship between Turkish undergraduate students’ language learning mindsets, English language achievement, and English medium instruction (EMI) academic success. Student test score data on an EMI course and an English language course were collected from fourth year students studying mechatronics engineering (n = 68) and business administration (n = 75) at a public university. Students also responded to the Language Learning Mindsets Inventory (Lou & Noels, 2019). Regression analyses revealed that both incremental (positively) and entity (negatively) mindsets predicted academic success in engineering. Neither mindset was a statistically significant predictor of mechatronics engineering students’ English language achievement. Business administration students’ academic success and English language achievement were both statistically significantly predicted by both incremental (positively) and entity (negatively) mindsets. These results are discussed according to discipline-based differences in EMI courses and pedagogical implications are explored.
A Preliminary Report on Relationship between the Subtypes of Early Life Stressor and Clinical Depression

Background: Clinical depression can critically incapacitate one and make one question his self-worth and future. Estimates claim that out of the world’s approximately 7.6 billion population, 264 million people suffer from depression. This study was formulated to contribute data and results of the presence of adverse childhood experiences and its tendency to give rise to clinical depression in adulthood. This article presents data of the first forty cases collected for this study. Method: Data was collected in the Psychiatric OPD of in a rural hospital, Wardha. Patients of major depressive disorder on treatment and who were above 18 years of age and willing to participate in the study were included in the study sample. Adverse Childhood Experiences – International Questionnaire, Presumptive Stressful Life Event Scale and Hamilton Depression Rating Scales were applied to the sample size. Results: Among the forty participants 23 (57%) were female and 17 (42.5%) were male. The samples’ age group was either between 30 to 50 years old (55%). Most of the participants were married (67.5%). 52.5% had been exposed to experiencing violence in the household and 52.5% of the participants experienced violence in the community. 20%participants were found to still low to moderate depression. 60% of the total sample population perceived themselves to be withstanding severe stress in the current day-to-day life. Conclusion: This is a preliminary report to an ongoing research project. We can see glimpses of how exposure to stressors during childhood have the ability to impact a person’s mental well-being decades later.
Reconhecimento facial e viés algorítmico em grandes municípios brasileiros

Ao utilizar tecnologias de reconhecimento facial, o setor público brasileiro mostra-se atento aos riscos sociais dessa tecnologia? A fim de reunir elementos que nos permitam responder a essa pergunta, investigamos os diários oficiais digitais de 13 dos 17 municípios brasileiros com mais de um milhão de habitantes. Analisamos preliminarmente o uso do reconhecimento facial no transporte público. Constatamos que alguns municípios parecem mais bem preparados do que outros para lidar com os ricos em questão: diante de supostos casos de fraude, eles permitem ao usuário(a) seguir viagem e, em seus textos legais, apresentam orientações mínimas sobre o papel do trabalho humano no processo de revisão das fraudes.
Multidirectional Speed in Youth Soccer Players: Programming Considerations and Practical Applications

ABSTRACT Multidirectional speed (MDS) can be defined as ‟the competency and capacity to accelerate, decelerate, change direction, and maintain speed in multiple directions and movements, within the context of sport-specific scenarios. ” The components of MDS are linear speed, change of direction speed, curvilinear speed, contextual speed, and agility. A MDS development framework is provided for the practitioner who considers the complexities of the growing athlete within a progressive sequence of skill learning and adaptation. Practical examples for each MDS component are provided and discussed within weekly microcycle examples that represent different stages of development for the youth athlete.
Phytochemicals: Key to Effective Anticancer Drugs

Cancer is considered one of the globally top lethal and never-ending public health troubles which affects the humankind population that mainly suffers from bone marrow tumor, breast cancer and lung cancer. Many health professionals and scientists have developed conventional therapies with a number of different modules of medicines obtainable from drugstores to cure diversified cancer disease despite the fact that none of these drugs have been found to be fully effective and safe. So, there is a great potential for the study of medicinal plants to reveal powerful anticancer activities. This coherent review is focused on an extensive investigation of frequently incited therapies through naturally occurring medicinal plants that cover a large number of pharmacological anticancer activities. During recent years, research has been focused on the structural modifications to accomplish anticancer medicines, drugs and complex physical therapies. Nevertheless, all reported therapies crafted improvements in the quality of cancer patients’ life issues however; these efforts are required to be escalated at a large scale and in high level clinical trials. The review covers the literature from 1985-2016.
A Modified Techniques of Fractional-Order Cauchy-Reaction Diffusion Equation via Shehu Transform

In this article, the iterative transformation method and homotopy perturbation transformation method are applied to calculate the solution of time-fractional Cauchy-reaction diffusion equations. In this technique, Shehu transformation is combined of the iteration and the homotopy perturbation techniques. Four examples are examined to show validation and the efficacy of the present methods. The approximate solutions achieved by the suggested methods indicate that the approach is easy to apply to the given problems. Moreover, the solution in series form has the desire rate of convergence and provides closed-form solutions. It is noted that the procedure can be modified in other directions of fractional order problems. These solutions show that the current technique is very straightforward and helpful to perform in applied sciences.
The Household Appliance Stock, Income, and Electricity Demand Elasticity

This paper estimates household electricity demand using data from the Energy Information Administration’s (EIA) 2015 Residential Energy Consumption Survey (RECS). Previous research has focused on estimating price elasticities, and we contribute to this literature by examining how price elasticity is impacted by household income and the appliance stock. Results show that as income increases, households rely less on electricity for space and water heating, but the number of electronic appliances increases with income. The changing stock suggests that the mechanism through which energy reduction occurs differs across income levels. The results can aid policymakers concerned about electricity demand, rising electricity rates, and the impact on low-income households. The results can also inform the design of demand response and demand side management programs.
Phase-State Dependent Silica Nanoparticle Uptake of Giant Unilamellar Vesicles

We quantify endocytosis-like nanoparticle uptake of model membranes as a function of temperature and therefore phase state. As model membranes, we use giant unilamellar vesicles consisting of 1,2-dipentadecanoyl-sn-glycero-3-phosphocholine (15:0 PC). Time-series micrographs of the vesicle shrinkage show uptake rates that are a highly non-linear function of temperature. A global maximum appears close to the main structural phase transition at T = Tm + 3 K, and a minor peak at the pretransition T = Tp = 22 °C. The quality of the kinetics linear fits reveals a deviation from the linear trend at the vesicle shrinkage peaks. To further elucidate the origin of the shrinkage peak, we performed force spectroscopy on a supported lipid bilayer. The results indicate a collapse of the adhesion energy at the structural phase transition. Further using literature results on the bending modulus as function of temperature and Helfrich’s model, this allows us to make qualitative conclusions on the membrane tension as function of temperature.
Destinations Food Image and Food Neophobia on Behavioral Intentions: Culinary Tourist Behavior in Malaysia

Abstract The important role of local culinary in the area of tourism has received the attention of scholars in recent decades, in spite of the fact that the influence of the culinary image on traveler’s destination has not been thoroughly explored. Moreover, extremely limited attention has been given to the development of a measurement scale for the corresponding perceptions. Therefore, this study examines existing relationships among a tourist destination’s food image, food neophobia, and the behavioral intention of international tourists in Malaysia. Out of the total number of questionnaires administered to international tourists in Malaysia, 292 were fully completed and returned. Furthermore, this study utilizes Partial Least Squares-Structural Equation Modeling (PLS-SEM) using Smart-PLS 3.2. 9 to analyze the data. As such, the results indicate a significant and positive relationship between destination food image and food neophobia. Indeed, this empirical outcome plays a fundamental about destinations that intend to facilitate food tourism.
Coordinate optimization for generalized fused Lasso

Abstract Fused Lasso is one of extensions of Lasso to shrink differences of parameters. We focus on a general form of it called generalized fused Lasso (GFL). The optimization problem for GFL can be came down to that for generalized Lasso and can be solved via a path algorithm for generalized Lasso. Moreover, the path algorithm is implemented via the genlasso package in R. However, the genlasso package has some computational problems. Then, we apply a coordinate descent algorithm (CDA) to solve the optimization problem for GFL. We give update equations of the CDA in closed forms, without considering the Karush-Kuhn-Tucker conditions. Furthermore, we show an application of the CDA to a real data analysis.