Miracle-dz/UniFAR-FTUs huggingface dataset:
DBSCAN-based decision technique for 60Gbps PAM-8 IM/DD system

The intensity modulation and direct detection (IM/DD) systems have been widely investigated and demonstrated to fulfil the requirement of short reach data communication links with simple implementation. DMLs are a low cost solution for IM/DD systems due to their low power dissipation, small footprint and high output optical power. However, for DMLs, the driving current can influence the optical density at its active region, hence the intrinsic chirp affects the generated optical carrier and results in distortions of the signals, which reduces transmission rates and signals decision accuracy. We propose a machine learning-based decision technique to mitigate nonlinear distortions of the DMLs without using any nonlinear processing, and demonstrate a 60-Gb/s PAM-8 IM/DD system using a DML. About 0.6-dB receiver sensitivity improvement is achieved after 2km transmission.
To Use or Not to Use: The Design, Implementation and Acceptance of Technology in the Context of Health Care

Technology in general, and assistive technology in particular, is considered to be a prom- ising opportunity to address the challenges of an aging population. Nevertheless, in health care, technology is not as widely used as could be expected. In this chapter, an overview is given of theories and models that help to understand this phenomenon. First, the design of (assistive) technologies will be addressed and the importance of human- centered design in the development of new assistive devices will be discussed. Also theo- ries and models are addressed about technology acceptance in general. Specific attention will be given to technology acceptance in healthcare professionals, and the implementa- tion of technology within healthcare organizations. The chapter will be based on the state of the art of scientific literature and will be illustrated with examples from our research in daily practice considering the different perspectives of involved stakeholders.
An ECM-PSO based optimal charging current pattern searching for Li-ion batteries

EV battery charging is growing in importance as it has a direct influence on the EV performance. Multistage Constant Current (MCC) charging strategy is an effective rapid charging method. This paper proposes an ECM-PSO algorithm to search for the optimal current pattern of the MCC charging strategy. The MCC charging model is built according to the Li-ion battery equivalent circuit model, and the object function for the ECM-PSO optimization was formulated and the optimal current pattern of the MCC charging method was obtained through the ECM-PSO algorithm. The experimental result shows that the obtained current pattern is capable of charging the batteries to 87.7% of the rated capacity within 36.5 min. Compared with the conventional CC-CV charging method, the proposed charging strategy has a performance improvement of 60.3% in charging time reduction, and the average temperature rise during the proposed MCC charging process is 0.5 °C lower than the CC-CV charging method.
FUNCTIONAL CONNECTIVITY BETWEEN THE MIDBRAIN AND CORTEX DURING CONSCIOUSNESS RECOVERY AFTER GENERAL ANESTHESIA

The study aimed to calculate functional connectivity between the cortex and midbrain area (periaqueductal grey, PAG). For this, in 5 patients at the final stage of surgery after removal of the pineal region tumor, the external ventricular drainage with recording devices located at the tip was inserted into the aqueduct. Thus, by draining the cerebrospinal fluid from the ventricular system for therapeutic purposes we could register the local potentials of the periaqueductal region during anesthetic sleep, waking from it and wakefulness. ERPs were recorded simultaneously from deep electrodes located close to intact PAG area and scalp electrodes using auditory two-tone oddball paradigm. The selection of peaks was made in N100, N200 and P300 time windows. Functional connectivity was calculated in time windows including 65 ms before and after peak latency on deep electrode and used in the Granger causality test (value of model order n=10). The peaks recorded on deep electrodes were considered under the same names (N100, N200 and P300) for convenience of description and comparison with those recorded on scalp sites. In clear consciousness ERP was clearly detected on scalp electrodes, as well as peaks on deep electrodes. The changes of direction of functional connectivity were detected during consciousness recovery: the direct connectivity from the frontal area to brainstem was revealed in post-anesthesia disorders of consciousness and obnubilation with the connectivity value greater in post-anesthesia disorders of consciousness, and the direct connectivity from the brainstem to left cortex area was detected in clear consciousness.
Robustness Analysis of a Website Categorization Procedure based on Machine Learning

Website categorization has recently emerged as a very important task in several contexts. A huge amount of information is freely available through websites, and it could be used to accomplish statistical surveys, saving the cost of the surveys, or to validate already surveyed data. However, the information of interest for the specific categorization has to be mined among that huge amount. This turns out to be a dicult task in practice. This work describes techniques that can be used to convert website categorization into a supervised classification problem. To do so, each data record should summarize the content of an entire website. We generate this kind of records by using web scraping and optical character recognition, followed by a number of automated feature engineering steps. When such records have been produced, we apply to them state-of-the-art classification techniques to categorize the websites according to the aspect of interest. We use Support Vector Machines, Random Forest and Logistic classifiers. Since in many applicative cases the labels available for the training set may be noisy, we analyze the robustness of our procedure with respect to the presence of misclassified training records. We present results on real-world data for the problem of the detection of websites providing e-commerce facilities.
The phenology of dwarf coconut cultivars in north of sergipe coastal tablelands

The phenology of coconut palms provides information which makes cultivars selection possible, due to characteristics that allow greater efficiency in environmental use, making its behavior predictable in any conditions. For this reason, the phenology of dwarf coconut palms was studied in the north of Sergipe coastal tablelands. The experiment was carried out at the Agreste commercial plantation, at a randomized block design with four treatments and four replications using eight plants per plot. The studied dwarf coconut cultivars were: the Malayan Yellow Dwarf (MYD), the Malayan Red Dwarf (MRD), the Cameroon Red Dwarf (CRD) and the 'Green Dwarf of Jiqui' (BGDJ) regarding the number of alive leaves (NAL), number of emitted leaves (NEL) and the number of dead leaves (NDL); number of emitted inflorescences (NEI), female flowers per inflorescence (NFFI), fruits at three (NFr3) and six (NrF6) months old, fruit weight and fruit water volume. The data were submitted to analysis of variance, which was made by Sisvar program, 4.3 version (InstallShield Corporation, Inc. Lavras, MG). The analysis was based on the cultivars averages concerning each characteristic and then, submitted to the test of Tukey at 5% of probability. During most of our research period, the MYD showed the greatest NAL, while the CRD, the smallest. The BGDJ has showed superiority in relation to reproductive characters such as NFFI and NFr6. Results have shown the BGDJ is the most adaptive cultivar to Plato de Neopolis-SE conditions.
Using Minitab-Box Benken Software to Optimize the Induction Heating Process

This paper presents aspects on finding some optimal dependence between the inductor input parameters (frequency, air gap and current density) and its output parameters (spacing, power density, heating time). It also shows the results of coupling the numerical modeling of the inductive heating process, using Flux 2D, with a numerical model of optimization, using Minitab software.
The epidemiology of head injury in women in Scottish prisons

Introduction: Women in prison (WiP) in Scotland are six times more likely to have a hospitalised head injury (HI) than the general population and have higher relative risk of HI than men in prison. HI is linked to increased violent offending and poorer prison rehabilitation outcomes. This study aimed to explore the epidemiology of HI in WiP and identify any unmet needs. Methods: A retrospective cross-sectional design was utilised. 62 WiP were recruited from three Scottish prisons. Self-reported cause and severity of HIs, offending characteristics and comorbidities were recorded. Results: 88.7% of participants had a HI and 77.3% experienced periods of repeated blows to the head. Most likely cause of HI was assault. 68.4% of repeated HI episodes were caused by intimate partner violence (IPV). Number of HIs with LOC was significantly associated with number of arrests (rs=.398, p=.001; moderate effect size, 95% CI [.17, .61] and time in prison (rs=.299, p=.027; moderate effect size, 95% CI [.05, .54]). Participants with HI were significantly more likely to report violent offences than those with no HI, regardless of the HI severity (p=.043, odds ratio: 6.61, 95% CI [1.09, 40.3]). 86.5% of participants experienced HI before their first offence, indicating it may play a role in offending. Average age of first HI was 11 years, which links to poorer outcomes than adulthood HI. Conclusions: There were high rates of HI in WiP. HI was associated with offending characteristics and trauma. Further research is required with bigger sample sizes to confirm the role of HI in offending. Interventions for WiP may need to be adapted for HI populations and trauma-informed.
Gerchberg-Saxton Based FIR Filter for Electronic Dispersion Compensation in IM/DD Transmission Part I: Theory and Simulation

Intensity-modulation and direct-detection (IM/DD) transmission over short-reach optical fiber links, require electronic dispersion compensation (EDC) at the transmitter and/or electronic equalization at the receiver. Recently, the iterative Gerchberg-Saxton (GS) algorithm was demonstrated for EDC in IM/DD systems, through treating the amplitude at the transmitter and the phase prior-to the direct detection receiver as a degree of freedom. In Part I of this work, three GS approaches using finite impulse response (FIR) filters for EDC in IM/DD systems are demonstrated. The first two are closely related and rely on a cascaded FIR structure, while the third offers a novel non-iterative EDC solution using a single GS optimized static FIR filter. This is achieved through decoupling pattern dependent aspects of transmission from the GS iterations by targeting a single impulse at the DD receiver. With every successive iteration an impulse response for the GS filter emerges and sets the FIR tap weights. It is also demonstrated that closed-form analytical expressions for the GS filter impulse response can be obtained through small-signal frequency-domain analysis. The FIR filter is simulated using 8-bit finite-precision arithmetic. An adaptive $T$-spaced post feed-forward equalizer (FFE) is utilized for mitigating residual chromatic dispersion. It is shown, that a $T/2$-spaced pre-EDC FIR filter with 417 taps can support 56 Gb/s non-return-to-zero (NRZ) on-off keying (OOK) transmission over 80 km of single mode fiber (SMF) with a chirp-free Mach-Zehnder modulator (MZM). Part II, presents experimental demonstration of the non-iterative GS FIR filter proposed and simulated in this article.
A Video-based Physiotherapy Exercise Dataset

A patient recovering from a stroke, injury, or physical pain needs continuous physiotherapy and rehabilitation to achieve a quick and complete recovery. It is often difficult for elderly people to visit clinics to undertake exercises. Finding physiotherapists and relevant treatments becomes more difficult, particularly in an epidemic condition like covid-19. AI-driven at-home physiotherapy exercise monitoring and assessment systems can be the straightforward feasible solution in this regard. Accurate recognition of particular exercises, exercise assessments, providing feedback, etc. are parts of the whole system, which a machine typically learns through a data-heavy training process. A key issue in this regard is the lack of specific training data for physiotherapy exercises. There exist only a few datasets in the literature that are designed for physiotherapy exercises; most of them however are based on multiple body sensors or Kinect device. Sensor devices are quite costly, and their availability is not guaranteed everywhere. In contrast, video data can be a better alternative, where video can be acquired easily from an available smartphone camera or desktop/laptop webcam. Addressing this issue, we present a new video-based physiotherapy exercise database containing 1237 video clips of 14 physiotherapy exercises that were carefully elicited from an extensively conducted survey from multiple physiotherapists. Exercises were recorded with 28 male and female subjects within various lighting conditions, camera angles, and camera jitters to simulate the real-world setting. Several machine learning algorithms were utilized to carry out an experimental study on the dataset, and the results are provided for future reference.
Therapeutic Plasma Exchange in Renal Disorders

Nephrologists use hemodialysis and hemofiltration to remove low molecular weight toxic constituents, and increasingly deploy therapeutic plasma exchange (TPE)/plasmapheresis to eliminate higher molecular weight substances such as immunoglobulins or immune complexes from plasma. This review discusses different modalities of TPE, their application in renal disorders, its rationale and complications. TPE is recommended based on evidence, in alloantibody-mediated diseases such as humoral antibody mediated renal transplant rejection, autoantibody mediated glomerulonephritis (GN) disorders for example, anti-glomerular basement membrane GN, as well as in antineutrophil cytoplasmic antibody mediated GN and antibody mediated thrombotic thrombocytopenic purpura. In many other renal illnesses, the rational use of TPE is gaining currency. Double membrane filtration, immune adsorption and cryofiltration are important modifications in TPE
Sustainable agriculture in Malaysia: implication for extension workers.

A global survey revealed that at present sustainable agriculture is implemented on only 3 percent of the total farming land in Asia, Africa, and Latin America. Researchers reported some obstacle to adoption of sustainable agricultural practices such as information on sustainable practices, economic factors, education and information, resistance to change, barriers related to sustainable agriculture technologies, social context, financial and material infrastructure and land tenure constraints. One of the main barriers to adoption of sustainable agriculture reported by farm producers and extension workers is lack of available information. Hence agricultural extension workers as information provider play a vital role for achievement of sustainable agriculture. The challenge extension workers faces are that of promoting sustainable agriculture to encourage farm producers adopt the program. The success of sustainable agricultural program depends on training and education of farm producers. The purpose of this paper is to explore whether extension workers have been sufficiently oriented themselves to their responsibility on sustainable agriculture or not. [Neda Tiraieyari and Jegak Uli. Sustainable Agriculture in Malaysia: Implication for Extension Workers. Journal of American Science 2011;7(8):179-182]. (ISSN:1545-1003). http://www.americanscience. org.
Myosin Heavy Chain Expression in the External Urethral Sphincter of Rats with Simulated Birth Trauma

Objective: Various animal models have been developed to understand the pathophysiology of stress urinary incontinence and identify suitable therapies. One of the most common animal models, a vaginal distention model that simulates the second phase of labor, has been shown to damage the pelvic floor muscles, particularly the external urethral sphincter, in rats and mice. The external urethral sphincter plays a crucial role in urinary continence. This study aimed to examine the changes in the fiber-type composition of this skeletal sphincter muscle under pathophysiological conditions in order to evaluate its functional and metabolic properties. Methods: We used triple immunofluorescence labeling to visualize one slow (type 1) and two fast (types 2A and 2B) myosin isoforms in the female rat external urethral sphincter and examined changes in their expression within the sphincter 4 weeks after vaginal distention in an established animal model of postpartum stress urinary incontinence. Results: We found that the fiber-type compositions were similar to those of intact animals, with type 2A fibers predominant throughout the sphincter, and type 2B fibers restricted to the proximal segment. Type 1 fibers were concentrated in the proximal and distal ends of the sphincter. However, the ratio of total cross-sectional area of type 2B fibers was significantly reduced in rats with vaginal distention. Moreover, the minor diameter of type 2B fibers was significantly decreased. Conclusion: These findings indicate that vaginal distention may induce irreversible changes in myosin heavy chain expression in the rat external urethral sphincter, especially of type 2B isoforms.
An orthotropic membrane model replaced with line-members and the large deformation analysis

The paper proposes a method for analyzing large deformation of membrane structures by replacing the structures with elements composed line-members. The replacement has the advantage that the structural model is completely compression-free, so that the analysis always has a unique equilibrium solution without falling into multi equilibrium problems and the method is stable and easy even for how large deformation.
Enhanced Mediawiki For Collaborative Writing In The Web 2.0 Era

The primary goal of this case study research is to investigate users’ perceptions of the efficiency of MediaWiki used in the collaborative writing process for students in graduate classes. MediaWiki version 1.15. 1 was used in this study. Two case studies were used to explore situations that were occurring as students used the MediaWiki instance. The results show that MediaWiki needs some additional features, such as chat, advanced text editor, and discussion to facilitate the collaborative writing process.
Computer-based techniques for lead identification and optimization I: Basics

Abstract This chapter focuses on computational techniques for identifying and optimizing lead molecules, with a special emphasis on natural compounds. A number of case studies have been specifically discussed, such as the case of the naphthyridine scaffold, discovered through a structure-based virtual screening (SBVS) and proposed as the starting point for further lead optimization process, to enhance its telomeric RNA selectivity. Another example is the case of Liphagal, a tetracyclic meroterpenoid extracted from Aka coralliphaga, known as PI3Kα inhibitor, provide an evidence for the design of new active congeners against PI3Kα using molecular dynamics (MD) simulations. These are only two of the numerous examples of the computational techniques’ powerful in drug design and drug discovery fields. Finally, the design of drugs that can simultaneously interact with multiple targets as a promising approach for treating complicated diseases has been reported. An example of polypharmacological agents are the compounds extracted from mushrooms identified by means of molecular docking experiments. This chapter may be a useful manual of molecular modeling techniques used in the lead-optimization and lead identification processes.
Impact of East Asian Winter Monsoon on Rainfall over Southeastern China and its Dynamical Process

The present study investigates the impact of the East Asian winter monsoon (EAWM) on winter (January, February, and March, or JFM in short) rainfall over southeastern China (including South China and central eastern China) and its dynamical process by using station observations for the period 1951–2003 and the ERA-40 reanalysis for the period 1958–2002. It is found that there is a significant correlation between interannual variations of the EAWM and JFM rainfall over southeastern China. Analyses show that in weak EAWM years southwesterly anomalies at 700 hPa dominate over South China Sea, which transports more moisture into southeastern China, favouring rainfall increase. At the same time, the East Asian westerly jet weakens and displaces southward, contributing to the increase in ascending motion over southeastern China. The air temperature over southeastern China shows an obvious decrease at 300 hPa and increase near the surface. This enhances the convective instability and weakens the potential vorticity (PV), which explains the strengthening of ascending motion and the increase in JFM rainfall over southeastern China. In addition, the EAWM has impacts independent of El Nino Southern Oscillation (ENSO) on JFM rainfall over southeastern China. Moreover, the rainfall anomalies over central eastern China are more closely related to the EAWM than that in South China. Copyright  2010 Royal Meteorological Society
Mobile Phone Text Processing and Question-Answering

Mobile phone text messaging between mobile users and information services is a growing area of Information Systems. Users may require the service to provide an answer to queries, or may, in wikistyle, want to contribute to the service by texting in some information within the service’s domain of discourse. Given the volume of such messaging it is essential to do the processing through an automated service. Further, in the case of repeated use of the service, the quality of such a response has the potential to benefit from a dynamic user profile that the service can build up from previous texts of the same user. This project will investigate the potential for creating such intelligent mobile phone services and aims to produce a computational model to enable their efficient implementation. To make the project feasible, the scope of the automated service is considered to lie within a limited domain of, for example, information about entertainment within a specific town centre. The project will assume the existence of a model of objects within the domain of discourse, hence allowing the analysis of texts within the context of a user model and a domain model. Hence, the project will involve the subject areas of natural language processing, language engineering, machine learning, knowledge extraction, and ontological engineering.
Microsatellite markers in the primitive termite Mastotermes darwiniensis

We developed 10 microsatellite loci in the primitive termite Mastotermes darwiniensis. The number of alleles per locus ranged from four to 15, and the expected heterozygosites spanned from 0.21 to 0.90, in a sample of 40 workers collected from the Northern Territory, Australia. We also determined that only two loci amplified in five other termite species. The low frequency of cross-amplification probably resulted from the high level of phylogenetic divergence between M. darwiniensis and the other taxa. Thus, although the loci are not widely applicable, they should prove effective in elucidating the genetic structure of M. darwiniensis populations.