Miracle-dz/UniFAR-FTUs huggingface dataset:
Power electronic controller with time sharing switching strategy for grid connected PV systems

The design and implementation of a high-efficiency two-stage power electronic controller for feeding power from a photovoltaic (PV) array to the load/utility grid is proposed. The PV array is connected to the load/utility grid through a boost converter and an inverter. The boost converter is controlled by sinusoidal pulse width modulation (SPWM) pulses so as to get a clamped quasi-sinusoidal waveform at the DC link. The inverter converts the clamped quasi-DC voltage into AC voltage using the SPWM controller. At any time only one switch operates at high frequency, thus yielding reduction in the switching losses of the converters. The controller used for the inverter takes care of both the maximum power point tracking (MPPT) at unity power factor (UPF) and grid synchronization. The power electronic controller has been constructed using IGBT switches. The complete system has been modeled with MATLAB/Simulink software and simulation results are compared with experimental results. Experiments have been conducted at varying irradiations for both stand-alone (110 W) and grid-connected (110 V, 50 Hz) systems with a PV array of 130.2 V and 4.5 A employing the dSPACE DS1103 controller. The steady-state and dynamic responses of the proposed system are presented.
Sweep frequency impedance measurements for evaluation of middle ear function in young infants

ii Declaration by author. v Publication during candidature . vi Publications included in this thesis. vii Contributions by others to this thesis. x Statement of parts of the thesis submitted to qualify for the award of another degree. xi Acknowledgements. xii Dedication . xiv
A Novel Minimally Invasive Wireless Technology for Neuromodulation via Percutaneous Lateral Femoral Cutaneous Nerve Stimulation for Meralgia Paresthetica: A Case Report with 3-Month Follow-Up

Background: Peripheral nerve stimulation (PNS) of the lateral femoral cutaneous nerve provides control of burning pain and severe allodynia in the anterolateral thigh at the right side. Objective: To assess analgesic effects of a minimally invasive wireless neuromodulation in the treatment of chronic pain due to Meralgia Paresthetica. Case Summary: A patient presented with burning pain and severe allodynia in the right anterolateral thigh, and was subsequently diagnosed with Meralgia Paresthetica. The patient’s problems began with arthroscopy of the knee for cruciate ligament repair and several debridements following that. Thereafter, he developed infection, empyema, and life-threatening necrotizing fasciitis. In 2015, he had adhesiolysis of the femoral cutaneous nerve by a hand surgeon resulting in one year relief of pain, and thereafter, recurring pain. Other previous therapies attempted include: cryoablation of the femoral cutaneous nerve; repeated ultrasound-guided femoral cutaneous nerve blocks; physiotherapy; and medications including tramadol, paracetamol, acemetacin, tapentadol, pregabalin, lidocaine patch, and trimipramin. Patient was deemed a suitable candidate for a minimally invasive neuromodulation procedure. One subcutaneous electrode was inserted approximately 20 cm below the groin in the anterior thigh on the right side, and placed on the lateral femoral cutaneous nerve. Results: The procedure was uneventful, and pain scores (NRS) reduced from a 10 out of 10 before stimulation to a 0 while applying stimulation at 3-months follow-up. Conclusions: Subcutaneous placement of electrodes with a minimally invasive technique and wireless technology was safe and effective. Significant improvements in pain relief ensued at the three-month follow-up with no adverse events. Case Report Citation: Stefan Stockli, Elissa R. Ettinger, Niek E. Vanquathem. A Novel Minimally Invasive Wireless Technology for Neuromodulation via Percutaneous Lateral Femoral Cutaneous Nerve Stimulation for Meralgia Paresthetica: A Case Report with 3-Month Follow-Up. Anesth Pain Res. 2018; 2(1): 1-4.
Use Bagging Algorithm to Improve Prediction Accuracy for Evaluation of Worker Performances at a Production Company

Many workers at the production department of Libyan Textile Company work with different performances. Plan of company management is paying the money according to the specific performance and quality requirements for each worker. Thus, it is important to predict the accurate evaluation of workers to extract the knowledge for management, how much money it will pay as salary and incentive. For example, if the evaluation is average, then management of the company will pay part of the salary. If the evaluation is good, then it will pay full salary, moreover, if the evaluation is excellent, then it will pay salary plus incentive percentage. Twelve variables with 121 instances for each variable collected to predict the evaluation of the process for each worker. Before starting classification, feature selection used to predict the influential variables which impact the evaluation process. Then, four algorithms of decision trees used to predict the output and extract the influential relationship between inputs and output. To make sure get the highest accuracy, ensemble algorithm (Bagging) used to deploy four algorithms of decision trees and predict the highest prediction result 99.16%. Standard errors for four algorithms were very small; this means that there is a strong relationship between inputs (7 variables) and output (Evaluation). The curve of (Receiver operating characteristics) for algorithms gave a high- level specificity and sensitivity, and Gain charts were very close to together. According to the results, management of the company should take a logic decision about the evaluation of production process and extract the important variables that impact the evaluation.
Periotic anatomy of Arsinoitherium (Mammalia, Embrithopoda) and its phylogenetic implications

ABSTRACT The description of two previously unknown petrosal specimens of Arsinoitherium highlights a number of derived ungulate characteristics. A phylogenetic analysis based on ungulate periotic anatomy implies that perissodactyls, sirenians, proboscideans, and arsinoitheres are united by the absence of a subarcuate fossa, derived course of the facial nerve, and open stylomastoid foramen. The form of the fenestra ovalis and fenestra rotundum links proboscideans, sirenians, and arsinoitheres. Absence of a discrete cochlea aqueduct implies a sister-group relationship between arsinoitheres and proboscideans. Artiodactyls are primitive in all respects except for the complete enclosure of the epitympanic recess by the tegmen tympani. The phylogenetic position of hyracoids is equivocal with the possibility of amastoidy and absence of promontorial grooves being independently derived.
Bridging the gap between physical and mental illness in community pharmacy (PharMIbridge): protocol for an Australian cluster randomised controlled trial

Introduction There is a significant life expectancy gap attributable to physical comorbidities for people living with severe and persistent mental illness (SPMI) compared with the general population. Medications are a major treatment for SPMI management and physical illnesses, hence pharmacists are well positioned to support mental healthcare and comorbidities. The randomised controlled trial (RCT) aim is to evaluate effectiveness of an individualised, pharmacist led, support service for people experiencing SPMI focusing on medication adherence and physical comorbidity management, compared with standard care (a medication-management service; MedsCheck). Methods and analysis PharMIbridge is a cluster RCT, whereby community pharmacies in four Australian regions will be randomised (1:1 ratio), to either Intervention Group (IG) or Comparator Group (CG). All IG and CG pharmacy staff will receive Blended-Mental Health First Aid training. Additionally, IG pharmacists will receive further training on medication adherence, goal setting, motivational interviewing, managing physical health concerns and complex issues relating to psychotropic medication. CG pharmacists will not receive additional training, and will provide standard care (MedsCheck). The primary outcome will be change in participants medication adherence for psychotropic medication over 6-months. Using mixed-effects logistic regression model and a cluster size of 48 pharmacies, a total of 190 participants will need to be recruited to each arm to find a statistically significant difference in medication adherence. Secondary outcomes will be changes in factors associated with cardiometabolic risk and quality of life, emphasising physical and psychological well-being; medication-related problems; adherence to other prescribed medication; pharmacists knowledge, confidence and ability to support people experiencing SPMI; and effects on healthcare utilisation. A within RCT-based economic evaluation comparing the intervention with standard care will be undertaken. Ethics and dissemination The protocol and pharmacist training programme received Griffith University Human Research Ethics Committee approval (HREC/2019/473 and HREC/2019/493 respectively). Results will be published in peer-reviewed journals and available at the Sixth Community Pharmacy Agreement website (http://6cpa.com.au/about-6cpa/). Trial registration number ANZCTR12620000577910.
XBP1 Is Essential for Survival under Hypoxic Conditions and Is Required for Tumor Growth

Hypoxia within solid tumors is a major determinant of outcome after anticancer therapy. Analysis of gene expression changes during hypoxia indicated that unfolded protein response genes were one of the most robustly induced groups of genes. In this study, we investigated the hypoxic regulation of X-box binding protein (XBP1), a major transcriptional regulator of the unfolded protein response. Hypoxia induced XBP1 at the transcriptional level and activated splicing of its mRNA, resulting in increased levels of activated XBP1 protein. After exposure to hypoxia, apoptosis increased and clonogenic survival decreased in XBP1-deficient cells. Loss of XBP1 severely inhibited tumor growth due to a reduced capacity for these transplanted tumor cells to survive in a hypoxic microenvironment. Taken together, these studies directly implicate XBP1 as an essential survival factor for hypoxic stress and tumor growth.
Development and agronomic performance of common bean lines simultaneously resistant to anthracnose, angular leaf spot and rust

The common bean is affected by several pathogens that can cause severe yield losses. Here we report the introgression of resistance genes to anthracnose, angular leaf spot and rust in the 'carioca-type' bean cultivar 'Ruda'. Initially, four backcross (BC) lines were obtained using 'TO', 'AB 136', 'Ouro Negro' and 'AND 277' as donor parents. Molecular fingerprinting was used to select the lines genetically closer to the recurrent parent. The relative genetic distances between 'Ruda' and the BC lines varied between 0.0% and 1.99%. The BC lines were intercrossed and molecular markers linked to the resistance genes were used to identify the plants containing the genes of interest. These plants were selfed to obtain the F 2 , F 3 and F 4 plants which were selected based on the presence of the molecular markers mentioned and resistance was confirmed in the F 4 generation by inoculation. Four F 4:7 pyramid lines with all the resistance genes showed resistance spectra equivalent to those of their respective donor parents. Yield tests showed that these lines are as productive as the best 'carioca-type' cultivars.
Effort Estimation of Back-end Part of Software using Chaotically Modified Genetic Algorithm

The focus of Software Development Effort Estimation (SDEE) is to precisely predict the estimation of effort and time required for successfully developing a software project. From the past few years, data-intensive applications with a huge back-end part are contributing to the overall effort of projects. Therefore, it is becoming more important to add the back-end part to the SDEE process. This paper proposes an Evolutionary Learning (EL) based hybrid artificial neuron termed as dilationerosion perceptron (DEP) framework from the mathematical morphology (MM) having its foundation in complete lattice theory (CLT) for solving the SDEE problem. In this work, we used the DEP (CMGA) model utilizing a chaotically modified genetic algorithm (CMGA) for the construction of DEP parameters. The proposed method uses the ER diagram artifacts such as aggregation, specialization, generalization, semantic integrity constraints, etc. for calculating the SDEE of back-end part of the business software. Furthermore, the proposed method was tested over two different datasets, one is existing and the other one is a self-developed dataset. The performance of the given method is then evaluated by three popular performance metrics, exhibiting better performance of the DEP (CMGA) model for solving the SDEE problems.
Learning a palliative care approach during the COVID-19 pandemic: A case study in an Infectious Diseases Unit

Background: Hospital palliative care is an essential part of the COVID-19 response, but relevant data are lacking. The recent literature underscores the need to implement protocols for symptom control and the training of non-specialists by palliative care teams. Aim: The aim of the study was to describe a palliative care unit’s consultation and assistance intervention at the request of an Infectious Diseases Unit during the COVID-19 pandemic, determining what changes needed to be made in delivering palliative care. Design: This is a single holistic case study design using data triangulation, for example, audio recordings of team meetings and field notes. Setting/participants: This study was conducted in the Palliative Care Unit of the AUSL-IRCCS hospital of Reggio Emilia, which has no designated beds, consulting with the Infectious Diseases Unit of the same hospital. Results: A total of 9 physicians and 22 nurses of the Infectious Diseases Unit and two physicians of the Palliative Care Unit participated in the study. Our Palliative Care Unit developed a feasible 18-day multicomponent consultation intervention. Three macro themes were identified: (1) new answers to new needs, (2) symptom relief and decision-making process, and (3) educational and training issues. Conclusion: From the perspective of palliative care, some changes in usual care needed to be made. These included breaking bad news, patients’ use of communication devices, the limited time available for the delivery of care, managing death necessarily only inside the hospital, and relationships with families.
Risk-aware path planning and replanning algorithm for UAVs

During last decades employing Unmanned Aerial Systems (UAS) to perform different types of operations has surely brought enormous benefits. Nonetheless allowing such operations requires great attention, the people safety is in fact one of the main obstacles to be evaluated before any operations could start indeed because of their high density on working environments. Therefore, the aim of the project conducts to the creation of a structured low-altitude airspace able to achieve autonomous operations of low-cost unmanned vehicles, while maintaining the safety for people on the ground. Traditionally, the system that acts as a supervisor of such kind of issues is the Air Traffic Managers (ATM) but in our case we are working with different vehicles from traditional aircrafts, and a system able to cover the equivalent role of an ATM is required. UTM (UAS Traffic Management) is a structure able to support safe and efficient UAS operations following the characteristics of low-cost unmanned vehicles. The upcoming generation of mobile networks, 5G, and the improvements in the Cloud Robotics paradigm constitute a suitable framework to address the problem into account here. So, after studying the state of the art of the involved technologies, we propose and developed a networked control system (NCS) called CBUTM (Cloud-Based UTM) to accomplish the project’s goal. Developing a such kind of manager involves several category of knowledge, so the working group was divided into smaller ones, each one with different aspects to treat. My thesis, especially, will look to the research of the best path planning algorithm capable to be risk-awared and to execute suitable replanning. After deep examination of today’s state of art, taking to account our precise condition of risk-aware and dynamic map, two variations of the Rapidly-exploring Random Trees (RRT* and RRTX) have been designated to generate a safe flight minimizing our specific cost function. Going deeper, the proposed approach dwells on two distinct stages. At first, an off-line path planning is accomplished; it computes the optimal global path in a static environment without time constraints depending only on the risk-map, in which cells describe a specific location and have been associated with a risk-cost. Afterwards, there is an online path planning, in which, considering a dynamic risk-map, the off-line path is fixed and fitted to the new map, always taking to account to minimize the cost function. Ergo, a quick response constitutes a fundamental design parameter because the system needs to revise the pathway in very short time. The implementation is based on ROS (Robot Operating System), that played a key role in this project. Simulation results are still exposing, demostrating both the validity of our approach and some design limitations, especially in the online part, while supporting further developments.
Types of Research Questions: Descriptive, Predictive, or Causal.

A previous Evidence in Practice article explained why a specific and answerable research question is important for clinicians and researchers. Determining whether a study aims to answer a descriptive, predictive, or causal question should be one of the first things a reader does when reading an article. Any type of question can be relevant and useful to support evidence-based practice, but only if the question is well defined, matched to the right study design, and reported correctly. J Orthop Sports Phys Ther 2020;50(8):468-469. doi:10.2519/jospt.2020. 0703.
Virtual Surgical Planning and Hardware Fabrication Prior to Open Reduction and Internal Fixation of Atrophic Edentulous Mandible Fractures

Mandibular fractures are a common injury encountered by facial trauma surgeons. A majority of these cases are in dentate patients and can predictably be treated with several different open or closed techniques. Edentulous mandible fractures can be challenging as maxillomandibular fixation, either as the sole treatment or used for fracture reduction and stabilization prior to internal fixation, is not possible. The atrophic edentulous mandible fracture poses an even greater challenge, as there is more sclerotic bone present and less bone volume for bony contact, both of which can impair healing. In addition, with less bone mass, available plate adaptation and fixation are difficult. In recent years, virtual surgical planning (VSP) has been increasingly used in craniofacial and maxillofacial surgeries as well as in dentistry. Utilizing VSP to fabricate the necessary hardware prior to open reduction and internal fixation of atrophic edentulous mandible fractures can be helpful in treating these cases. Two cases where this method was used are presented.
Gut T cell–independent IgA responses to commensal bacteria require engagement of the TACI receptor on B cells

Signaling by the B cell–activating receptor TACI drives T cell–independent IgA responses to gut commensal bacteria. The second way to anti-commensal IgA Mammals rely on secretory IgA (SIgA) at the intestinal surface to maintain a homeostatic relationship with the commensal gut microbiota. B lymphocytes differentiate into IgA-producing plasma cells through a thymus-dependent pathway that depends on B cell CD40 transducing a signal from CD40 ligand on T cells. Grasset et al. investigated the contribution of the TACI receptor found predominantly on B cells to an alternative thymus-independent (TI) pathway of IgA+ plasma cell differentiation. Mice lacking both αβ and γδ T cell subsets had no germinal centers in their lymphoid tissues but still made SIgA antibodies that bound gut bacteria through a TI mechanism requiring TACI. These findings reveal that the mucosal immune system uses parallel pathways dependent on either CD40 or TACI to provide B cells the help needed to generate SIgA capable of binding commensal bacteria. The gut mounts secretory immunoglobulin A (SIgA) responses to commensal bacteria through nonredundant T cell–dependent (TD) and T cell–independent (TI) pathways that promote the establishment of mutualistic host-microbiota interactions. SIgAs from the TD pathway target penetrant bacteria, and their induction requires engagement of CD40 on B cells by CD40 ligand on T follicular helper cells. In contrast, SIgAs from the TI pathway bind a larger spectrum of bacteria, but the mechanism underpinning their production remains elusive. Here, we show that the intestinal TI pathway required CD40-independent B cell–activating signals from TACI, a receptor for the innate CD40 ligand–like factors BAFF and APRIL. TACI-induced SIgA responses targeted a fraction of the gut microbiota without shaping its overall composition. Of note, TACI was dispensable for TD induction of IgA in gut-associated lymphoid organs. Thus, BAFF/APRIL signals acting on TACI orchestrate commensal bacteria–specific SIgA responses through an intestinal TI program.
Language workbench support for block-based DSLs

Block-based languages offer notable advantages for bringing domain-specific languages (DSLs) closer to an end-user programming audience. Nevertheless, the construction of block-based languages is still a rather ad hoc and low-level endeavour. Language workbenches have been shown to be effective in improving productivity when developing textual or otherwise graphical DSLs. In this paper, we sketch open challenges and work in progress to provide language workbench support for block-based languages. In particular we address dedicated meta languages for defining the syntax of block-based languages. Making block-based language development part of the common language workbench repertoire will improve the adoption of the block metaphor outside the realm of programming education, and bring DSLs closer to end-user programming.
Reduction in Cardiovascular Disease Risk Factors Following Chiropractic Care : A Case Study & Selective Review of the Literature

Cardiovascular Disease (CVD) is a multifactorial disorder with a constellation of lifestyle and biological risk factors, such as: hypercholesterolemia, hypertriglyceridemia, cigarette smoking, hypertension, obesity, physical inactivity, diabetes, and metabolic syndrome. CVD has the highest prevalence amongst males, the elderly, and smokers. 3 CVD is the leading cause of mortality and a major cause of morbidity worldwide; particularly prevalent in the United States due to Western diets and inactive lifestyles where more than 80 million individuals are diagnosed. Recent studies have linked an independent association of CVD with hyperuricemia. Inflammation is a common factor that links cardiovascular disease to rheumatic disease. High levels of C-reactive protein (CRP), a hematological inflammatory marker, are associated and identified with increased CVD risk. According to Keenan et al, “Gout is a rheumatic disease whose underlying cause is the presence of systemic hyperuricemia” and gout patients commonly suffer from multiple comorbidities compared to other rheumatologic diseases. A limited body of evidence has linked gout with cardiovascular disease; however, a current study in the New York Harbor Health Care System of the Department of Veterans Affairs have observed and concluded that a typical gout patient had as many as seven comorbidities, such as: hypertension, obesity, hyperlipidemia, renal insufficiency, insulin resistance, and diabetes. The study concluded that these comorbidities are an independent risk factor of CVD; however, as a constellation these conditions may accumulate Anthony Slinger D.C. 1 Shayla Lesho D.C.2