Miracle-dz/UniFAR-FTUs huggingface dataset:
Industrial Centric Node Localization and Pollution Prediction Using Hybrid Swarm Techniques

Major fields such as military applications, medical fields, weather forecasting, and environmental applications use wireless sensor networks for major computing processes. Sensors play a vital role in emerging technologies of the 20th century. Localization of sensors in needed locations is a very serious problem. The environment is home to every living being in the world. The growth of industries after the industrial revolution increased pollution across the environment. Owing to recent uncontrolled growth and development, sensors to measure pollution levels across industries and surroundings are needed. An interesting and challenging task is choosing the place to fit the sensors. Many meta-heuristic techniques have been introduced in node localization. Swarm intelligent algorithms have proven their efficiency in many studies on localization problems. In this article, we introduce an industrial-centric approach to solve the problem of node localization in the sensor network. First, our work aims at selecting industrial areas in the sensed location. We use random forest regression methodology to select the polluted area. Then, the elephant herding algorithm is used in sensor node localization. These two algorithms are combined to produce the best standard result in localizing the sensor nodes. To check the proposed performance, experiments are conducted with data from the KDD Cup 2018, which contain the name of 35 stations with concentrations of air pollutants such as PM, SO2, CO, NO2, and O3. These data are normalized and tested with algorithms. The results are comparatively analyzed with other swarm intelligence algorithms such as the elephant herding algorithm, particle swarm optimization, and machine learning algorithms such as decision tree regression and multi-layer perceptron. Results can indicate our proposed algorithm can suggest more meaningful locations for localizing the sensors in the topology. Our proposed method achieves a lower root mean square value with 0.06 to 0.08 for localizing with Stations 1 to 5. This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Computer Systems Science & Engineering DOI:10.32604/csse.2022. 021681 Article ech T Press Science
Thermal Analysis of an ESPA Class Host Satellite using Oscillating Heat Pipes and Deployable Solar Array Backed Radiator

v List of Figures . vi List of Tables . viii Nomenclature . ix Introduction . 1 ESPA . 4 Oscillating Heat Pipes . 5 Deployable Solar Array Backed Radiator (DSABR) . 6 ESPA Design Requirements . 9 HUH Capability and Design . 10 Oscillating Heat Pipe Design . 13 Thermal Requirements . 18 Thermal Environments . 18 Thermal Desktop Model . 20 Results . 28 References . 59
An optical fiber spool for laser stabilization with reduced acceleration sensitivity to 10~（-12）/g

Environmental vibration causes mechanical deformation in optical fibers, which induces excess frequency noise in fiber-stabilized lasers. In order to solve such a problem, we propose an ultralow acceleration sensitivity fiber spool with symmetrically mounted structure. By numerical analysis with the finite element method, we obtain the optimal geometry parameters of the spool with which the horizontal and vertical acceleration sensitivity can be reduced to 3.25 × 10-12/g and 5.38 × 10-12/g respectively. Moreover, the structure features the insensitivity to the variation of geometry parameters,which will minimize the influence from numerical simulation error and manufacture tolerance.
Electrodialysis performance during the defluoridation of brackish water using ClNH2 membrane

In the present work, we propose to investigate the fluoridation of brine water by electrodialysis using a new exchange membrane. This membrane called ClNH2 was prepared by crosslinking chlorosulfonated polyethersulfone (SO2Cl-PES) using aminated polyethersulfone (NH2-PES) reagent. The efficiency of the electrodialysis process at different NaCl concentration ranging from 0.5 to 3.0 g/L was evaluated by the determination of demineralization rate, the ionic flux transport (J), the fluoride concentration on the dilute side and the specific power consumption. After defluoridation of the treated solutions, ions fluoride concentrations become lower than the amount fixed by the World Health Organization for drinking water. This study shows clearly that the electrodialysis process using the ClNH2 membrane is very promising for the defluoridation of water.
A Computationally Efficient Surrogate Model Based Robust Optimization for Permanent Magnet Synchronous Machines

One of the main obstacles to the robust optimization for permanent magnet machines is the high computational burden, which is mainly caused by the robustness evaluation process considering the manufacturing uncertainties. In this paper, a sequential sampling Kriging model is adopted to estimate the design robustness, and the problem of high-dimensional variables for the surrogate model due to uncertainties is avoided through adopting the worst-case based approach. To further reduce the number of finite element analyses (FEA) required for constructing a metamodel, a multi-points sequential sampling process with a two-step optimization oriented surrogate model updating algorithm is proposed. Compared with the FEA directly based robust optimization in previous work, similar Pareto Fronts are achieved by adopting the meta-model proposed algorithm but the overall run time reduced by 75%. In the end, an optimization problem for a 1.2 kW motor is considered by applying the proposed algorithm, and two prototypes with deliberately designed tolerances, imitating the worst-case scenarios in the real world, are manufactured. The worst-case torque ripple is reduced from 7.6% to 4.8% after optimizing, and this verifies the efficacy of the proposed algorithm.
The Impact of Socially Responsible Marketing on TV Viewership and Household Conflicts: A Theoretical Descriptive Study

Marketing is used by business organizations to promote the beneficial attributes of their product and services. The increased focus on promoting ethical and socially responsible business practices has contributed to the emergence of socially responsible marketing. This study explores this concept and how it promotes good/positive social and cultural norms. The research demonstrates how businesses are forced to practice socially responsible marketing though its impact on TV viewership and household conflict remains unknown. A qualitative descriptive study is carried out to examine the effect of socially responsible marketing on TV viewership and household conflict. Data was collected from a sample of 15 marketing experts using a self-administered question and analyzed through thematic analysis. The study found no significant link between socially responsible marketing and TV viewership. Additionally, this research found that socially responsible marketing reduces household conflict. These findings are supported by the Uses and Gratification Theory, Functionalist Theory, and Conflict Theory.
Dynamic Programming Approach in the Optimization of Tool Life in Turning Process of Duplex Stainless Steel DSS

The paper presents the application of dynamic programming for optimization of cutting parameters of Duplex Stainless Steels (DSS). In this work, modified Dijkstra's optimization algorithm is used in order to obtain the optimal values of the technological cutting parameters with coated carbide tool point. ANOVA analysis was performed to determine the significance of machining parameters. The results at optimum cutting condition are predicted using estimated values. The study was performed within a production facility during the machining of electric motor parts and deep-well pumps.
Additive and Interactive Associations of Environmental and Sociodemographic Factors with the Genotypes of Three Glutathione S-Transferase Genes in Relation to the Blood Arsenic Concentrations of Children in Jamaica

Arsenic (As) is a metalloid that has been classified as a xenobiotic with toxic effects on human beings, especially on children. Since the soil in Jamaica contains As, dietary intake is considered the main source of As exposure in Jamaicans. In addition, glutathione S-transferase (GST) genes, including GSTT1, GSTP1, and GSTM1, play an important role in the metabolism of xenobiotics including As in humans. Using data from 375 typically developing children (2–8 years) in Jamaica, we investigated the environmental and sociodemographic factors, as well as their possible interactions with the children’s genotype for GST genes in relation to having a detectable level of blood As concentration (i.e., >1.3 μg/L). Using multivariable logistic regression, we have identified environmental factors significantly associated with blood As concentrations that include a child’s age, parental education levels, and the consumption of saltwater fish, cabbage, broad beans, and avocado (all p < 0.01). Based on the multivariable analysis including gene x environment interactions, we found that among children with the Ile/Ile genotype for GSTP1 Ile105Val, children who consumed avocado had higher odds of having a detectable blood As concentration compared to children who did not eat avocado.
Rare Earth Elements Accumulation in the Hair of Malagasy Children and Adolescents in Relation to Their Age and Nutritional Status

Due to undesired influence, the accumulation of rare earth elements (REE) in the human body has been discussed recently. However, it is usually limited to the study of the population living where REE ores and mines are located. The aim of the experiment presented was to analyse the concentration of REE in the hair of children and teenagers living in two areas of Madagascar in relation to the place of residence, nutritional status, age and sex. REE concentration was determined in scalp hair of 262 of subjects (5–19 years old) by an inductively coupled plasma-optical emission spectrometer. The content of total REE in the Malagasy hair was in the range of 0.79–44.15 mg/kg. The nutritional status was evaluated by Cole’s index, and malnutrition of children was observed more often in village areas. The concentration of these elements was also determined in 20 samples for the estimation of environmental exposure. No significant differences were detected in the content of these elements in the studied regions, although the mean value was always higher in soil samples from the Antananariva region. The obtained data suggest dependence between REE concentration in the hair and age, and nutritional status of the examined subjects. Even if the observed correlations are weak, they contribute significant knowledge on the accumulation of REE in the bodies of children living in areas that are not recognised as deposits of these elements.
The Influence of Network Embeddedness on Innovation Performance of MSMEs. The Mediating Role of Ambidextrous Organizational Learning

Based on resource-based view (RBV) and organizational learning theories, the study has built theoretical conceptual model of multiple networks embedding influencing enterprises’ l innovation performance from the perspective of organizational learning. The work discussed the internal mechanism of ambidextrous organizational learning activities affected by embedded relationship, embedded structure and embedded resource influencing technological innovation performance. Through obtaining data form 305 respondents in management of MSMEs in Sierra Leone, the study systematically validated the conceptual model with the structural equation model. It showed that embedded relationship, embedded structure and embedded resource in enterprise organization network can effectively improve the enterprise’s organizational learning capability, bringing significant promotion in innovation performance. Wherein, the embedded relationship and embedded resource can promote not only the innovation performance of the enterprise, but also the performance by improving the knowledge management ability of the enterprise. While, the promotion effect of embedded structure to enterprises’ technological innovation majorly relies on the fully-mediated The macroscopical trend of modern enterprise networking development and the innovation performance model of Micro, Small and Medium Enterprises (MSME’s) also has gradually developed from the single model by taking a new paradigm of network embeddedness and regulated by ambidextrous organizational learning. Many studies (Zahra, Ireland et al. 2000, Yli ‐ Renko, Autio et al. 2001, Uzzi 2018) have found that network embedding has generally become one of the most important factors that even determine the enterprise innovation portfolio. Networks enhance firms’ accessibility to new knowledge, external resources, technologies and new market opportunities (GF1). Polanyi proposed the concept of embeddedness in 1968 and defined it as the degree to which economic activity is constrained by noneconomic institutions. This phenomenon has seen diverse classification but
Interaction of Glia Cells with Glioblastoma and Melanoma Cells under the Influence of Phytocannabinoids

Brain tumor heterogeneity and progression are subject to complex interactions between tumor cells and their microenvironment. Glioblastoma and brain metastasis can contain 30–40% of tumor-associated macrophages, microglia, and astrocytes, affecting migration, proliferation, and apoptosis. Here, we analyzed interactions between glial cells and LN229 glioblastoma or A375 melanoma cells in the context of motility and cell–cell interactions in a 3D model. Furthermore, the effects of phytocannabinoids, cannabidiol (CBD), tetrahydrocannabidiol (THC), or their co-application were analyzed. Co-culture of tumor cells with glial cells had little effect on 3D spheroid formation, while treatment with cannabinoids led to significantly larger spheroids. The addition of astrocytes blocked cannabinoid-induced effects. None of the interventions affected cell death. Furthermore, glial cell-conditioned media led to a significant slowdown in collective, but not single-cell migration speed. Taken together, glial cells in glioblastoma and brain metastasis micromilieu impact the tumor spheroid formation, cell spreading, and motility. Since the size of spheroid remained unaffected in glial cell tumor co-cultures, phytocannabinoids increased the size of spheroids without any effects on migration. This aspect might be of relevance since phytocannabinoids are frequently used in tumor therapy for side effects.
Minireview: Peripheral Nesfatin-1 in Regulation of the Gut Activity—15 Years since the Discovery

Simple Summary Nesfatin-1 is a newly identified molecule derived from the precursor protein NEFA/nucleobindin2. In this minireview we analyzed the research on the nesfatin-1 localization in the gastrointestinal tract of the mammals. We also referred to the effects of the protein on disorders in the gastrointestinal tract. Abstract Nesfatin-1, discovered in 2006, is an anorexigenic molecule derived from the precursor protein NEFA/nucleobindin2. It is generally postulated that this molecule acts through a specific G protein-coupled receptor, as yet unidentified. Research conducted over the last 15 years has revealed both central and peripheral actions of nesfatin-1. Given its major central role, studies determining its inhibitory effect on food intake seem to be of major scientific interest. However, in recent years a number of experiments have found that peripheral organs, including those of the gastrointestinal tract (GIT), may also be a source (possibly even the predominant source) of nesfatin-1. This mini-review aimed to summarize the current state of knowledge regarding the expression and immunoreactivity of nesfatin-1 and its possible involvement (both physiological and pathological) in the mammalian GIT. Research thus far has shown very promising abilities of nesfatin-1 to restore the balance between pro-oxidants and antioxidants, to interplay with the gut microbiota, and to alter the structure of the intestinal barrier. This necessitates more extensive research on the peripheral actions of this molecule. More in-depth knowledge of such mechanisms (especially those leading to anti-inflammatory and anti-apoptotic effects) is important for a better understanding of the involvement of nefatin-1 in GIT pathophysiological conditions and/or for future therapeutic approaches.
Visual search training benefits from the integrative effect of enhanced covert attention and optimized overt eye movements

Training serves as an effective approach to improve visual search performance when the target does not automatically pop out from the distractors. In the present study, we trained participants on a conjunction visual search task and examined the training effects in behavior and eye movement. The results of Experiments 1 to 4 showed that training improved behavioral performance and reduced the number of saccades and overall scanning time. Training also increased the search initiation time before the first saccade and the proportion of trials in which the participants correctly identified the target without any saccade, but these effects were modulated by stimulus’ parameters. In Experiment 5, we simultaneously recorded eye movements and EEG signals and the results revealed significant N2pc components after the stimulus onset (i.e., stimulus-locked) and before the first saccade (i.e., saccade-locked) when the search target was the trained one. These N2pc components can be considered as the neural signatures for the enhanced covert attention to the trained target. Together with the training-induced increase in functional visual field, these mechanisms could support the beneficial effects of increased search initiation time and reduced number of saccades. These findings suggest that visual search training enhanced covert attention to target and optimized overt eye movements to facilitate search performance.
Multi-Layered Energy Efficiency in LoRa-WAN Networks: A Tutorial

Emerging Internet-of-Things (IoT) applications are driving increasing demand for advanced services in wireless networks, prompting the development of new technologies to address the associated challenges. Energy efficiency of IoT standards is a key feature targeted by research efforts and industrial activities, leading to an extensive and growing number of innovative solutions. Low Power Wide Area Networks (LPWANs) define a class of wireless communication technologies seen as highly relevant for future IoT development given its long communication range, low-cost devices and interesting energy management. Long Range Wide Area Network (LoRaWAN) is acknowledged to be the dominant IoT communication technology. It has allowed broad deployment and unlocked new IoT applications such as smart cities, asset tracking, etc. This article provides a comprehensive tutorial on the LoRa standard, and surveys existing solutions, hot topics and future insights for building energy efficient IoT infrastructures and IoT devices. Indeed, energy efficiency is one of the key factors for successful and sustainable deployments of IoT applications. More precisely, this article discusses how to meet LoRa/LoRaWAN energy efficiency across physical layer, medium access control layer, and network layer. Subsequently, extensive pioneering solutions from related literature are compared and assessed. Finally, insightful conclusions are drawn, and open problems are listed at the end of this article.
Post-Occupancy Evaluation of Housing Facilities: Overview and Summary of Methods

AbstractAlthough post-occupancy evaluation (POE) is an old tool with hundreds of studies, it is yet to become routine in the housing industry. The growing complexity of buildings and emerging trends in the industry further reinforces the need to carry out more POE studies. Though some studies exist, a holistic approach is yet to be given priority in the industry. This paper presents an overview of POE; it presents a broad introduction, levels of investigation, POE methods, performance elements related to the housing context, and POE tools and frameworks. It also highlights key benefits to be derived from a POE and barriers forestalling its adoption in the industry. The goal of this paper is to provide a foundation and source of reference for current research in housing evaluation studies.
Interactions of stimulus quality and semantic context on N400 in visual word recognition

Abstract The joint effects of stimulus quality and semantic context in visual word recognition were examined with event-related potential (ERP) recordings. In one-character Chinese word recognition, we manipulated stimulus quality at two degradation levels (highly vs. slightly degraded) and semantic context at two priming levels (semantically related vs. unrelated). In a prime–target–probe trial flow, ERPs were recorded to the target character which was presented in either high or slight degradation and which was preceded by either a semantically related or unrelated prime character. The target character was then followed by a probe character which was either identical to or different from the target character. Subjects were instructed to make target–probe matching judgments. The ERP results demonstrated a degradation by priming interaction, with larger N400 semantic priming effects for slightly degraded targets. Moreover, the degradation effects were observed on the P200, N250, and N400. These findings provided evidence for the cascaded model of visual word recognition such that the visual processing cascaded into the semantic stage and thus interacted on the N400 amplitude. The results were compared to an earlier study with a null ERP degradation by priming interaction. The ramifications of these results for models of visual word recognition are discussed.
State, citizenship and gender-variant communities in India

ABSTRACT Though persons belonging to gender-variant communities (GVCs) were a part of the Indian culture for thousands of years, new modalities were introduced to outlaw them under colonial rule. Post-independence, GVCs were subjected to progressive laws in theory; yet the colonial legal framework was largely retained in practice. Despite their significant presence in the public sphere, GVCs struggled for decades to acquire cognitive visibility and citizenship rights. Even the civil society in India at large overlooked their entitlement to sexual identity until the late 1990s. This paper, based on field and documentary data, uncovers the struggles of GVCs to claim citizenship rights in India. Beginning with the tradition of ‘cultural family’ under Gharana, the trajectory relegated them first to ‘illegal’ citizens under colonial rule and subsequently to ‘captive’ citizens in post-Independent India. Their positioning as ‘stranded’ citizens even after passing the new law in 2019 also challenges their potential as ‘monitorial citizens’.