Miracle-dz/UniFAR-FTUs huggingface dataset:
Organizational E-Mentoring and Learning: An Exploratory Study

This article explores the process by which e-mentoring unfolds in organizational settings, emphasizing the crucial role of learning that acts as the intermediate step between mentoring functions and organizational outcomes. Specifically, the authors investigate how e-mentoring functions—career support, psycho-social, and role modeling—support the protégé's learning, and how learning increases organizational commitment of the protégés. Data was collected through an online survey of 59 individuals in two multinational organizations that had mentoring programs. Analysis using SmartPLS 3.0 showed that career and role modeling support are statistically significant predictors of learning, and learning predicts organizational commitment as expected. Contrary to face-to-face mentoring literature, the direct link between the mentoring functions and organizational commitment is not supported. The authors conclude with implications for research and practice.
Aromaticity Determines the Relative Stability of Kinked vs. Straight Topologies in Polycyclic Aromatic Hydrocarbons

It is well-known that kinked phenacenes are more stable than their isomeric linear acenes, the archetypal example being phenanthrene that is more stable than anthracene by about 4–8 kcal/mol. In previous studies, the origin of the higher stability of kinked polycyclic aromatic hydrocarbons (PAHs) was found to be better π-bonding interactions, i.e., larger aromaticity, in kinked as compared to linear PAHs. Some years ago, however, Dominikowska and Palusiak (2011) found that dicationic linear anthracene is more stable than the dicationic kinked phenanthrene. Therefore, these authors showed that, in some cases, the linear topology in PAHs can be preferred over the kinked one. Our results using energy decomposition analyses in combination with the turn-upside-down approach show that the origin of the higher stability of dicationic anthracene is the same as in the neutral species, i.e., better π-bonding interactions. A similar result is found for the kinked and straight pyrano-chromenes. We conclude that the aromaticity is the driving force that determines the relative stability of kinked vs. straight topologies in PAHs.
Implementation of Wearable Devices and Indoor Positioning System for a Smart Hospital Environment

This study attempts to develop a Wi-Fi signal based indoor positioning system (IPS) for implementation of a smart hospital. The proposed system is composed of an arduino platform, a RedBearLab CC3200 WiFi Mini module, Li-ion battery, speaker, OLED display, cloud server, and portable client devices. In the client end, the home-made wristbands are designed to receive the strength of Received Signal Strength Index (RSSI) signals, and the corresponding Media Access Controllers (MACs) are then sent to the cloud server via UDP/IP protocol. In the server end, the computation for the extracted RSSI is automatically performed by using the trilateration and fingerprinting. Because the Wi-Fi based RSSI is within a certain variation, the extracted valuable information is then analyzed by introducing the fuzzy logic and genetic algorithm to improve the robustness of the IPS in this study. Further, some restrictions consisting of movement speed and the wall separation, are considered to suppress unreasonable positions and minimize the measuring errors. Preliminary results indicate that the proposed method achieves the error distances about 2 meters and the misslocation for room identification is nearly zero. So, the developed wearable module has some advantages such as robustness, lowpower consumption and high-efficiency for providing at least four days.
An Interleaver Estimation Algorithm for Turbo-code Based on Conformity of Parity-Check Equation

The most existing methods for estimation of interleaver are based on hard decision sequences, which has a poor fault tolerance. Moreover, some of them are only effective for specific interleavers. For traditional turbo code of rate 1/3, the estimation algorithm based on the average conformity of parity-check equation recognizes turbo-code interleaver by using soft decision sequences, which can get better anti-noise property. However this method must traverse the former permutation, which greatly increases the calculation of the algorithm. A novel algorithm of the aforementioned method is proposed in this paper. Permutation is recovered by employing the method of column vector comparison, which reduces the computational complexity and it still has an extremely great recognition performance in low signal-to-noise ratio (SNR).
A C-LSTM Neural Network for Human Activity Recognition Using Wearables

Recognizing human activities and the context in which they occur form sensor data is at the core of many research areas in pervasive computing and has extensive applications in solving real-life, human-centric problems. However, human activity recognition (HAR) is challenging due to the large variability in motor movements employed for a given action. By the way of enhancing recognition accuracy and decreasing reliance on engineered features to address increasingly complex recognition problems we introduce a new framework for wearable human activity recognition which combines convolutional and recurrent layers. The convolutional layers act as feature extractors and provide abstract representations of the input sensor data in feature maps. The recurrent layers model the temporal dynamics of the activation of the feature maps. Generally, the proposed network shows improvements compared with conventional machine learning methods. Experiments with the opportunity Dataset show that, comparing with baseline LSTM, our algorithm can recognize the human activities with an F1 score of 0.918, increased by 2.4%.
All About Cloud: A Systematic Survey

Aim of this project is to provide better understanding of cloud in regards with its overall aspects like evolution, types, service models and so on. Cloud computing basically refers to as providing a host services online. Its various characteristics such as pay per use, self-service provision, migration facilities etc., have increased its demand in the present world. There is various cloud computing deployment model such as Private, public and hybrid. Each model has its own characteristics and advantages; accordingly, they are used. Also, we have various types of cloud computing services-IaaS, PaaS and SaaS. So, we can also state that cloud computing provides the services over network using software and hardware. The trace of Cloud Computing was originated back in 1960's and it is stated that by 2017 Indian public cloud market could hit the business of $1.7 Bn. It is also assumed that in near future the cloud market would increase trajectorially. There are various examples of cloud computing which play an important role in our day to day life like Google's Gmail, online-banking and social networks. Now a day Cloud computing is growing exponentially as various industries are getting aware of its cost saving benefits. Cloud Computation is very powerful model in technology which can provide much safer security of data then the traditional storage, so this is also diverting various companies to use cloud for their data storage. We have also given the advantage and disadvantage of the Cloud Computing. So, this paper gives you all over aspects of cloud computing which beneficial to researchers in their work.
Study of acute febrile illness with thrombocytopenia in a tertiary care centre

Background: In the recent period there is an upsurge in the incidence of fever with thrombocytopenia in the Northern Kerala. This may be due to the several emerging and re emerging infections which causes frequent epidemics in the region. Early diagnosis and meticulous management will prevent fatal out come. Studies on fever with thrombocytopenia are very few in the Northern part of Kerala. Methods: This was a descriptive study conducted at Academy of Medical Sciences Pariyaram over a period of one year from November 2015 to October 2016. The study includes 251 cases attending outpatient and inpatients units in the department of medicine. All patients with a platelet count less than 150000 was included in this study and detailed clinical and laboratory evaluation was done and assessed for the etiology and outcome. Results: Among the 251 cases, Dengue fever accounts 54.5 % of cases and 26.2% are other viral fever where the exact causative organism was not detected. Leptospirosis, malaria were also important causes of fever with thrombocytopenia. Major incidence of hemorrhagic manifestation occurred in the age group of 20 to 30 years whose platelet count was in the range of 10000 to 40000/mm. Conclusions: In this study more than 50 % had dengue fever and in 26.2% cases an exact etiology cannot be determined. This finding highlights the fact that there may be many unidentified infection which cause fulminant thrombocytopenia and there is a need for wider screening of infection.
Pathways and Network Based Analysis of Candidate Genes to Reveal Cross-Talk and Specificity in the Sorghum (Sorghum bicolor (L.) Moench) Responses to Drought and It's Co-occurring Stresses

Drought alone or in combination with other stresses forms the major crop production constraint worldwide. Sorghum, one of the most important cereal crops is affected by drought alone or in combination with co-occurring stresses; notwithstanding, sorghum has evolved adaptive responses to combined stresses. Furthermore, an impressive number of sorghum genes have been investigated for drought tolerance. However, the molecular mechanism underling drought response remains poorly understood. We employed a systems biology approach to elucidate regulatory and broad functional features of these genes. Their interaction network would provide insight into understanding the molecular mechanisms of drought tolerance and underpinning signal pathways. Functional analysis was undertaken to determine significantly enriched genesets for pathways involved in drought tolerance. Analysis of distinct pathway cross-talk network was performed and drought-specific subnetwork was extracted. Investigation of various data sources such as gene expression, regulatory pathways, sorghumCyc, sorghum protein-protein interaction (PPI) and Gene Ontology (GO) revealed 14 major drought stress related hub genes (DSRhub genes). Significantly enriched genesets have shown association with various biological processes underlying drought-related responses. Key metabolic pathways were significantly enriched in the drought-related genes. Systematic analysis of pathways cross-talk and gene interaction network revealed major cross-talk pathway modules associated with drought tolerance. Further investigation of the major DSRhub genes revealed distinct regulatory genes such as ZEP, NCED, AAO, and MCSU and CYP707A1. These were involved in the regulation of ABA biosynthesis and signal transduction. Other protein families, namely, aldehyde and alcohol dehydrogenases, mitogene activated protein kinases (MAPKs), and Ribulose-1,5-biphosphate carboxylase (RuBisCO) were shown to be involved in the drought-related responses. This shows a diversity of complex functional features in sorghum to respond to various abiotic stresses. Finally, we constructed a drought-specific subnetwork, characterized by unique candidate genes that were associated with DSRhub genes. According to our knowledge, this is the first in sorghum drought investigation that introduces pathway and network-based candidate gene approach for analysis of drought tolerance. We provide novel information about pathways cross-talk and signaling networks used in further systems level analysis for understanding the molecular mechanism behind drought tolerance and can, therefore, be adapted to other model and non-model crops.
Signed Distance Fields for Rigid and Deformable 3D Reconstruction

This thesis addresses the tasks of 3D reconstruction of rigid and deformable objects and scenes, scanned with a single handheld RGB-D sensor. To this end, we propose an implicit-to-implicit alignment scheme between pairs of signed distance fields. We first apply it for reconstructing household objects, achieving higher trajectory and model precision than existing approaches, and then adapt it to larger scenes. Finally, we extend it to reconstruct moving objects that undergo topological changes and large motion, which are challenging for previous methods.
On the Development of a Computer-Based Tool for Formative Student Assessment: Epistemological, Methodological, and Practical Issues

Formative assessments in schools have the potential to improve students’ learning outcomes and self-regulation skills; they make learning visible and provide evidence-based guidelines for setting up and pursuing individual learning goals. With the recent introduction of the computer-based formative assessment systems for the educational contexts, there is much hope that such systems will provide teachers and students with valuable information to guide the learning process without taking much time from teaching and learning to spend on generating, evaluating and interpreting assessments. In this paper, we combine the theoretical and applied perspectives by addressing (a) the epistemological aspects of the formative assessment, with an emphasis on data collection, model building, and interpretation; (b) the methodological challenges of providing feedback in the context of instruction in the classroom; and (c) practical requirements for and related challenges of setting up and delivering the assessment system to a large number of students. In the epistemological section, we develop and explicate the interpretive argument of formative assessment and discuss the challenges of obtaining data with high validity. From the methodological perspective, we argue that computer-based formative assessment systems are generally superior to the traditional methods of providing feedback in the classroom, as they better allow supporting inferences of the interpretive argument. In the section on practical requirements, we first introduce an existing computer-based formative assessment system, as a case in point, for discussing related practical challenges. Topics covered in this section comprise the specifications of assessment content, the calibration and maintenance of the item bank, challenges concerning teachers’ and students’ assessment literacy, as well as ethical and data-protection requirements. We conclude with an outlook on possible future directions for computer-based formative assessment systems and the field in general.
Power Harvesting and Storage Circuit for a Double Array of Lead-Free Piezoelectric Cantilevers

The purpose of this paper is the studying of an off the shelf solution for power harvesting and storage circuitry for a previously designed lead-free energy harvester. The energy harvester is designed to work at a resonant frequency of 460Hz and consists in a double array of piezoelectric cantilevers (2 × 10) using zinc oxide as a lead-free piezoelectric material. The energy from the harvester is processed by LTC3588, a nanopower energy harvesting power supply (Abstract).
Energy Harvesting For Efficient 5G Networks

The design of traditional mobile wireless network emphasises on large capacity as well as ubiquitous access. However, environmental protection and energy saving may soon become inevitable trends due to rising global demands. In the wireless networking field, researchers should shift their focus towards efficient networks and energy harvesting (EH). In this work, we consider energy efficiency and EH to address the issue of energy shortage, which also represents the ratio of the quantity of data that have been transferred to the dissipated energy within the system, simultaneously. The simulation-based mathematics signifies the relation between energy efficiency $(C_{E})$ against the training interval $(T_{t})$ and how the energy efficiency is impacted by the change in block size and number of users.
Voice Stress Analysis: A New Framework for Voice and Effort in Human Performance

People rely on speech for communication, both in a personal and professional context, and often under different conditions of physical, cognitive and/or emotional load. Since vocalization is entirely integrated within both our central (CNS) and autonomic nervous system (ANS), a mounting number of studies have examined the relationship between voice output and the impact of stress. In the current paper, we will outline the different stages of voice output, i.e., breathing, phonation and resonance in relation to a neurovisceral integrated perspective on stress and human performance. In reviewing the function of these three stages of voice output, we will give an overview of the voice parameters encountered in studies on voice stress analysis (VSA) and review the impact of the different types of physiological, cognitive and/or emotional load. In the section “Discussion,” with regard to physical load, a competition for ventilation processes required to speak and those to meet metabolic demand of exercised muscles is described. With regard to cognitive and emotional load, we will present the “Model for Voice and Effort” (MoVE) that comprises the integration of ongoing top-down and bottom-up activity under different types of load and combined patterns of voice output. In the MoVE, it is proposed that the fundamental frequency (F0) values as well as jitter give insight in bottom-up/arousal activity and the effort a subject is capable to generate but that its range and variance are related to ongoing top-down processes and the amount of control a subject can maintain. Within the MoVE, a key-role is given to the anterior cingulate cortex (ACC) which is known to be involved in both the equilibration between bottom-up arousal and top-down regulation and vocal activity. Moreover, the connectivity between the ACC and the nervus vagus (NV) is underlined as an indication of the importance of respiration. Since respiration is the driving force of both stress and voice production, it is hypothesized to be the missing-link in our understanding of the underlying mechanisms of the dynamic between speech and stress.
Dynamic Path Planning Based on an Improved Ant Colony Optimization with Genetic Algorithm

A study by using Adaptable Ant Colony Optimization Algorithm (AACO) to solve the path arrangement problem has been given in [1]. This algorithm can determine the priority of visit for different attractions, by using travel time and the distance between two attractions to determine the optimal path arrangement for visitors. Though, the probability function seems to be determined by some exponential function with fixed powers $\alpha$ and $\beta$, this study tries to apply GA (Genetic algorithm) to find optimal $\alpha$ and $\beta$ in each determination of the probability, and we name the new algorithm as Improved Ant Colony Optimization Algorithm (IAACO). The numerical outputs of IAACO show that it outperforms AACO and ACO by the total number of desire values and solid points, that means the rendered spots are among the most wantto-visit places. The variation of the parameters $\alpha$ and $\beta$ also shows that some best probability functions can be rendered by IAACO compared to the AACO and ACO (the original Ant Colony Optimization Algorithm) with fixed parameters only. It shows when the number of attractions are many, the performance of IAACO shows better results. A selectable choice of places is possible and their rendered route is illustrated in Google Map for users’ reference.
110–135 GHz SiGe BiCMOS Frequency Quadrupler Based on a Single Gilbert Cell

This paper proposes a compact and efficient frequency quadrupler based on a single Gilbert cell which converts 30 GHz input frequency directly into 120 GHz. It consists of a spiral Marchand edge coupled input balun, a Gilbert cell based quadrupler core and an output buffer. The Gilbert cell core, which is conventionally utilized as a doubler, is utilized here as a quadrupler to generate strong fourth harmonic by maximizing the nonlinearity of the transconductance stage in order to mix the third harmonic with the fundamental component in the switching quad. The usage of single stage multiplication enables to achieve high power efficiency and wide bandwidth. The circuit implemented in 0. 13μm SiGe BiCMOS achieves an output power of 2.7 dBm at 120 GHz with a 3-dB bandwidth of 25 GHz and a power efficiency of 4.1 %. Spurious rejection is better than 30 dBc at the output frequency of 120 GHz. The circuit occupies a silicon area of 0.42 mm2.
Call for Papers

Since the beginning of information systems (IS) in 1960’s, the area has rapidly developed into a core field of business operations. Diversity and quality of research have increased significantly. The Association for Information Systems (AIS), as the major professional organization, has contributed substantially to the development of new knowledge and the coherence of our community. AIS has launched six journals and maintain AIS’s e-library with millions of downloads a year. After decades of growth, it is time to provide a comprehensive review of the knowledge associated with key IS research topics and potential future directions. The purpose of this Special Section of the Communications of the Association for Information Systems (CAIS) will focus on building a knowledge curation in our community.
Microphysiologic Human Tissue Constructs Reproduce Autologous Age-Specific BCG and HBV Primary Immunization in vitro

Current vaccine development disregards human immune ontogeny, relying on animal models to select vaccine candidates targeting human infants, who are at greatest risk of infection worldwide, and receive the largest number of vaccines. To help accelerate and de-risk development of early-life effective immunization, we engineered a human age-specific microphysiologic vascular-interstitial interphase, suitable for pre-clinical modeling of distinct age-targeted immunity in vitro. Our Tissue Constructs (TCs) enable autonomous extravasation of monocytes that undergo rapid self-directed differentiation into migratory Dendritic Cells (DCs) in response to adjuvants and licensed vaccines such as Bacille Calmette-Guérin (BCG) or Hepatitis B virus Vaccine (HBV). TCs contain a confluent human endothelium grown atop a tri-dimensional human extracellular matrix substrate, employ human age-specific monocytes and autologous non heat-treated plasma, and avoid the use of xenogenic materials and exogenous cytokines. Vaccine-pulsed TCs autonomously generated DCs that induced single-antigen recall responses from autologous naïve and memory CD4+ T lymphocytes, matching study participant immune-status, including BCG responses paralleling donor PPD status, BCG-induced adenosine deaminase (ADA) activity paralleling infant cohorts in vivo, and multi-dose HBV antigen-specific responses as demonstrated by lymphoproliferation and TCR sequencing. Overall, our microphysiologic culture method reproduced age- and antigen-specific recall responses to BCG and HBV immunization, closely resembling those observed after a birth immunization of human cohorts in vivo, offering for the first time a new approach to early pre-clinical selection of effective age-targeted vaccine candidates.
Vacuum Arc Cathode Spot Explosive Electron Emission Cell Plasma Momentum and Erosion Rate

A model has been developed for describing of the vacuum arc cathode spot explosive electron emission cells plasma parameters based on the liquid-metal jet tearing and electrical explosion. The explosive cell plasma momentum per transferred charge has been estimated to be tens of g cm/(s C), which agrees with known results of measurements of the ion velocity, erosion rate, and specific recoil force. This supports the model of the pressure-gradient driven plasma acceleration for explosive cathode spot cells. The obtained momentum conservation for the explosive-cell plasma has been used for evaluation of the erosion rates for the pulsed-periodic ecton processes within the cathode spot.