Miracle-dz/UniFAR-FTUs huggingface dataset:
Computer Methods and Programs in Biomedicine

Background and Objective: Rapid and precise diagnosis of COVID-19 is very critical in hotspot regions. The main aim of this proposed work is to investigate the baseline, laboratory and CT features of COVID-19 affected patients of two groups (Early and Critical stages). The detection model for COVID-19 is built depending upon the manifestations that deﬁne the severity of the disease. Methods: The CT scan images are fed into the various deep learning, machine learning and hybrid learn- ing models to mine the necessary features and predict CT Score. The predicted CT score along with other clinical, laboratory and CT scan image features are then passed to train the various Regression models for predicting the COVID Criticality (CC) Score. These baseline, laboratory and CT features of COVID-19 are reduced using Statistical analysis and Univariate logistic regression analysis. Results: When analysing the prediction of CT scores using images alone, AlexNet+Lasso yields better out- come with regression score of 0.9643 and RMSE of 0.0023 when compared with Decision tree (RMSE of 0.0034; Regression score of 0.9578) and GRU (RMSE of 0.1253; regression score of 0.9323). When analysing the prediction of CC scores using CT scores and other baseline, laboratory and CT features, VGG-16+Linear Regression yields better results with regression score of 0.9911 and RMSE of 0.0 0 02 when compared with Linear SVR (RMSE of 0.0 0 06; Regression score of 0.9911) and LSTM (RMSE of 0.0 0 05; Regression score of 0.9877). The correlation analysis is performed to identify the signiﬁcance of utiliz- ing other features in prediction of CC Score. The correlation coeﬃcient of CT scores with actual value is 0.93 and 0.92 for Early stage group and Critical stage group respectively. The correlation coeﬃcient of CC scores with actual value is 0.96 for Early stage group and 0.95 for Critical stage group.The classiﬁcation of COVID-19 patients are carried out with the help of predicted CC Scores. Conclusions: This proposed work is carried out in the motive of helping radiologists in faster catego- rization of COVID patients as Early or Severe staged using CC Scores. The automated prediction of COVID Criticality Score using our diagnostic model can help radiologists and physicians save time for carrying out further treatment and procedures.
UvA-DARE (Digital Academic Repository) The leeway of qualitative educational research. A case study.

This article presents a case study into the question of how research-internal and research- external factors in(cid:143) uence the leeway of qualitative research, and ultimately determine which questions can and cannot be addressed in research. First an overview is presented of the position of qualiative research in the (cid:142) eld of education in The Netherlands. This position is then ana-lysed by situating educational research in the particular research political context. In the second part of the article the authors focus on e¶ ective schools research, one of the strongest research programmes in Dutch educational studies, in order to show the consequences of the lack of a qualitative tradition.
ANALISA PERENCANAAN JARINGAN 4G LTE PADA GEDUNG A FAKULTAS TEKNIK UNIVERSITAS JEMBER MENGGUNAKAN RADIOWAVE PROPAGATION SIMULATOR 5.4

Kondisi gedung yang memiliki banyak ruangan juga terdapat banyak redaman yang mengakibatkan pelemahan sinyal sehingga diperlukan adanya perencanaan jaringan nirkabel. Tulisan ini membahas perencanaan jaringan 4G LTE pada Gedung A Fakultas Teknik Universitas Jember yang kemudian disimulasikan oleh perangkat lunak Radiowave Propagation Simulator (RPS) 5.4 dengan variasi pengambilan data berupa jenis antena dan letak ketinggian Femtocell Access Point (FAP). Perencanaan jaringan 4G LTE menggunakan metode propagasi indoor COST 231 Multi Wall diperoleh jumlah FAP yang dibutuhkan pada Lantai 1 sebesar 2 FAP, Lantai 2 sebesar 4 FAP, dan Lantai 3 sebesar 4 FAP. Analisa cakupan yang efektif pada perencanaan jaringan 4G LTE indoor diperoleh saat FAP menggunakan jenis isotropic antenna dan letak ketinggian FAP 2 meter dari permukaan lantai seperti pada Lantai 1 saat ketinggian FAP 2 meter dan menggunakan dipole antenna diperoleh mean level daya sebesar -88,04 dBm dan isotropic antenna diperoleh mean level daya sebesar -87,89 dBm, sedangkan saat FAP 3,5 meter menggunakan dipole antenna diperoleh mean level daya sebesar -88,89 dBm dan isotropic antenna diperoleh mean level daya sebesar -88,33 dBm. Perencanaan jaringan 4G LTE menggunakan RPS 5.4 dan metode COST 231 Multi Wall dapat diterapkan pada Gedung A Fakultas Teknik Universitas Jember.
A frame‐based EM‐simulation for design of LC oscillator with MoM capacitor banks

This article presents a simulation method for the design of a digitally controlled oscillator (DCO). Electromagnetic (EM) simulations are essential and inevitable for modern LC oscillator design. Although EM‐simulators provide high accuracy, the EM‐simulation time is very long when metal‐oxide‐metal (MoM) capacitors are present. The proposed frame‐based EM‐simulation can significantly reduce the EM‐simulation time even in the presence of MoM capacitors without influencing the accuracy. To verify the proposed method, a DCO was fabricated using a 55‐nm CMOS process. Measurements of the DCO are in good agreement with the frame‐based post‐layout simulation results. In addition, the DCO has good performances with a low power consumption of approximately 0.68 mW.
Dynamics of Flexible Wind Power Generator with Unbalanced Rotor

– The paper deals with dynamic analysis of a wind power generator as a large flexible structure with high speed rotating machines and considerable masses. The dynamic model is considered as a multibody system of rigid and flexible bodies. Nonstationary and transitional processes caused because of eccentricity of the high speed rotating machines, as well as, of the propeller vibrations are simulated and analyzed. Analytical method is applied for dynamic simulation. The results are verified by numerical procedures. Example of wind power generator with three propellers is presented.
Enhancing the performance of association rule models by filtering instances in colorectal cancer patients

Colorectal cancer data available from the SEER program is analyzed with the aim of using filtering techniques to improve the performance of association rule models. In this paper, it is proposed to improve the quality of the dataset by removing its outliers using the Hidden Naive Bayes (HNB), Naive Bayes Tree (NBTree ) and Reduced Error Pruning Decision Tree (REPTree) algorithms. The Apriori and HotSpot algorithms are applied to mine the association rules between the 13 selected attributes and average survivals. Experimental results show that the HNB algorithm can improve the accuracy of the Apriori algorithm’s performance by up to 100% and support threshold up to 45%. It can also improve the accuracy of the HotSpot algorithm’s performance up to 93.38% and support threshold up to 80%. Therefore, the HotSpot rules with minimum support of 80% are selected for explanation. The HotSpot algorithm shows that colorectal cancer patients, who died from colon cancer and were not receiving radiation therapy, were associated with survival of less than 22 months. Our study shows that filtering techniques in the preprocessing stage are a useful approach in enhancing the quality of the data set. This finding could help researchers build models for better prediction and performance analysis. Although it is heuristic, such analysis can be very useful to identify the factors affecting survival. It can also aid medical practitioners in helping patients to understand risks involved in a particular treatment procedure.
http://ijra.iaescore.com Miniature pellet extruder concept for robotic 3D printing

Info 2022 Additive manufacturing more commonly known as 3D printing has been in the limelight of manufacturing research for a long. Many advances have been made in the past in elementary printing techniques, materials, and post-processing schemes. In this paper, a concept of a miniature pellet extruder is added at the end of the articulated robotic arm. The idea is to create a system that capable to print larger and more complex shapes of any parts with the help of a low payload capacity robotic arm and provide output as a single-piece structure. It also helps to print and handle objects with larger and more complex geometry with an optimized cycle time. Knowledge from this research work will also help to choose not only the right low payload capacity robotic arm, but also provides a logical approach for selecting a pellet extruder over a filament
Are we Sure About the Effects of the Egyptian Uprisings? A SURE Approach

Four years after the historic uprising of the Egyptians in January 2011, we aim to understand whether the Egyptian revolution has had a different impact on different sectoral investments in the economy. Using data over the 2002Q1-2014Q2 period and a seemingly unrelated regressions (SURE) approach that allows for contemporaneous correlation across sectors of the economy, we find that the revolution’s effect on sectoral investments has been adverse, on average, but heterogeneous across sectors. Results hold under a number of robustness checks.
The Etiology of Impact Related Concussion for Catchers and Umpires in Baseball

The information presented herein attempts to quantify the conditions surrounding concussive impacts from foul tips to the masks of catchers and umpires in baseball. Media reports of such occasions were researched on video and pitch speed data from the Pitch F/X system recorded to suggest speeds and locations at which impacts occur. To evaluate mask performance, a pneumatic-wheel, electric-motor driven pitching machine was utilized to shoot baseballs at the instrumented head of a Hybrid III dummy. Head accelerations were calculated from a 3-2-2-2 accelerometer array to allow for comparisons of linear and angular kinematics. 6 common masks (2-piece traditional-style and 1-piece hockey-style) were tested at 7 locations at 60 mph to determine the severity of each location. The center-eyebrow and chin locations were further tested at 84 mph. Speed and location data were used to evaluate a large sample of 25 masks to explore possible performance differences between manufacturer models, mask types and cage styles. The results of this study showed no significant difference between hockey-style and traditional-style mask performance. Titanium caged masks, although lighter than their steel counterparts, experienced higher linear accelerations. However, all masks experienced linear and angular accelerations well below commonly accepted injury thresholds. Yet, concussive injury has still occurred in the players and umpires that wear these masks. The work presented here can be used to help better understand these thresholds and influence the design, construction and evaluation of a new generation of masks that decrease the risk of concussions to the wearer.
Irrigation Control System Using Android and GSM for Efficient Use of Water and Power

The motivation for this project came from the countries where economy is based on agriculture and the climatic conditions lead to lack of rains & scarcity of water. The farmers working in the farm lands are solely dependent on the rains and bore wells for irrigation of the land. Even if the farmland has a water-pump, manual intervention by farmers is required to turn the pump ON/OFF whenever needed. In this paper we tried to minimize this manual intervention by the farmer. In recent times, the farmers have been using irrigation technique through the manual control in which the farmers irrigate the land at regular intervals by turning the water-pump ON/OFF when required. This process sometimes consumes more water and sometimes the water supply to the land is delayed due to which the crops dry out. Therefore in this paper we use an Android application which helps the farmer to ON/OFF the motor without his physical presence in the field.
Optimisation of Bit Loading in Broadband Power Line Communication Network

The performance of a Broadband Power Line Communication Network (BPLCN) can be enhanced by using efficient bit loading and power allocation techniques. In this paper, maximization of raw bit rate with optimum allocation of power available for transmission using greedy bit loading is performed in an Orthogonal Frequency Division Multiplexing (OFDM) BPLCN. The performance of bit loading technique is subject to the influence of system parameters such as the load conditions of the power line network, power available for transmission and target error probability. The major focus of this paper is to study the effect of these parameters on the raw bit rates obtained using bit loading. The results simulated using MATLAB are reported and analyzed.
A novel power efficient asynchronous time difference of arrival indoor localization system using CC1101 radio transceivers

This paper presents a novel 434MHz asynchronous time difference of arrival (A‐TDOA) Indoor Localization System (ILS) using three CC1101 ultra low power radio transceivers from Texas Instruments as asynchronous measuring receivers for time difference of arrival estimation. The three deployed TDOA measuring units are not required to be precisely synchronized in contrast to conventional TDOA localization systems where stringent time synchronization is required between measuring units. Time synchronization is achieved by using a reference transmitter to record the time offset in two TDOA measurements. Actual TDOA measurements are obtained by compensating the time difference measurements for real transmitter using time offsets caused by asynchronous receivers. The implemented system demodulates the obtained time difference pulses to mitigate the clock jitter effect and provides voltage levels corresponding to time differences which are mapped to distance differences. The performance of implemented ILS is evaluated using two sets of real time indoor measurements to estimate the position of mobile transmit node in two dimensional space. The positioning accuracy of implemented system is better than 1.8m along with telemetry data reception capability and low DC power consumption. © 2017 Wiley Periodicals, Inc. Microwave Opt Technol Lett 59:550–555, 2017
Benefits and Challenges of Service-learning in Tennessee 4-H Youth Development: A Delphi Study

Service-learning is growing in popularity as a methodology for teaching youth life skills and 4-H project knowledge. Through a modified Delphi technique, a panel comprised of 4-H’ers, volunteers, and agents in Tennessee identified challenges of utilizing service-learning to fulfill the mission of the state’s 4-H Youth Development program. The subpanels of 4-H youth, volunteers, and Extension agents found that primary challenges of conducting service-learning projects through 4-H Youth Development include coordination, working around everyone’s schedule, and funding. There were some differences among the subpanels’ lists and prioritization of the challenges. The study has implications for 4-H leaders, both youth and adult, who employ service-learning as a teaching tool.
J UST P ROPAGATE : U NIFYING M ATRIX F ACTORIZA - TION , N ETWORK E MBEDDING , AND L IGHT GCN FOR L INK P REDICTION

Link prediction is a fundamental task in graph analysis. Despite the success of various graph-based machine learning models for link prediction, there lacks a general understanding of different models. In this paper, we propose a unified framework for link prediction that covers matrix factorization and representative network embedding and graph neural network methods. Our preliminary methodological and empirical analyses further reveal several key design factors based on our unified framework. We believe our results could deepen our understanding and inspire novel designs for link prediction methods
Suicidal Behaviours During Covid-19 Pandemic: A Review

Objective Novel COVID-19 disease has become a major concern worldwide, and a recent line of research warned that the context of the COVID-19 pandemic may be a major risk factor for developing severe suicidal behaviors. A broad systematic review is needed to cover the studies that have already assessed the potential underlying factors for suicidal behaviors in the context of the COVID-19 outbreak. Method A total of 52 studies met the inclusion criteria, and data were then described according to the subsequent categories: (1) countries where the studies were carried out; (2) factors impacting suicidal behaviors during the COVID-19 outbreak; and (3) examination of the observed populations. Results Findings of the current systematic review suggest that there is a certain amount of heterogeneity in factors impacting suicidal behaviors during the COVID-19 outbreak, with economic downturn, psychiatric vulnerability, isolation and quarantine, health concerns, and relational difficulties being the most prominent reasons for developing suicidal behaviors during the COVID-19 outbreak. Conclusions Timely interventions are needed to prevent suicidal behaviors in both the clinical and general populations, and in this regard, the creation of standard procedures may speed up the process.
Percutaneous auricular nerve stimulation (neuromodulation) for the treatment of pain: A proof-of-concept case report using total joint arthroplasty as a surrogate for battlefield trauma

In 2 cases we show that ambulatory percutaneous auricular nerve stimulation is feasible after joint arthroplasty. This off-label use appears to have markedly reduced pain and opioid use free of systemic side effects. It is thus a possible analgesic for use on the battlefield. BACKGROUND There are few effective pain treatments following trauma on the battlefield other than opioids, which are limited by respiratory depression. Ultrasound-guided percutaneous peripheral nerve stimulation (“neuromodulation”) has been proposed as an analgesic, but requires physician-level skills, advanced equipment, and an hour to administer. In contrast, percutaneous auricular neuromodulation may be placed by a medic in the field under nonsterile conditions in a few minutes, theoretically provides analgesia for any anatomic location, has no side effects, and no significant risks. It therefore offers the potential to be applied quickly on the battlefield without any of the limitations of opioids. We propose total joint replacement as a surrogate for battlefield trauma and here present a case report to demonstrate proof of concept. METHODS Following open total knee or hip arthroplasty under spinal anesthesia, two patients had an auricular neuromodulation device applied within the recovery room. Patients were discharged with the unit and contacted daily for 7 days. RESULTS The devices were each applied in under 3 minutes without difficulty, were well tolerated during use, and removed without complication at home on Day 5. During use, neither patient experienced pain while lying, sitting, or ambulating. Neither required analgesics other than scheduled celecoxib; and a single tablet (50 mg) of tramadol for one patient on postoperative Days 3 and 4 for pain while lowering herself to a seated position. On Days 6 and 7, both patients experienced an increase in pain, one of whom required around-the-clock tramadol. CONCLUSION Ambulatory postoperative percutaneous auricular neuromodulation is feasible. In these two cases, it appears to have markedly reduced pain scores and opioid requirements free of systemic side effects during the week following major orthopedic surgery. Considering the potential of this modality to treat trauma on the battlefield without systemic side effects, additional investigation appears warranted. LEVEL OF EVIDENCE Therapeutic/care management; Level V.
Educators’ Views on the Use of Dissection and Dissection Alternatives in American Biology Classrooms

Animal dissection remains a common practice in American biology classrooms, despite the availability of dissection alternatives to study anatomy and physiology. Indeed, there is a growing body of evidence in the literature suggesting that the use of alternatives leads to the greater achievement of learning objectives, as compared to dissection. To better understand the current use of and attitudes toward dissection and alternatives, a nationwide survey of (mainly high-school) biology teachers (n = 2687) was conducted. Most educators believed that learning objectives related to biology subject content could be met through the use of alternatives, yet they preferred the hands-on experience of dissection. Most educators allow their students to use alternatives if requested, although few teachers ask students about their preference for using an animal specimen versus an alternative. Educators cited student engagement as the main factor driving their decision to choose between dissection specimens and alternatives, and felt that cost is the biggest barrier to implementing alternatives at their schools. Additional perspectives on dissection and alternatives were shared by survey participants. Since alternatives can be used to meet learning objectives associated with dissection, we recommend their use as replacements for traditional animal specimens, in line with the replacement, reduction and refinement of animal use in education, according to the Three Rs principles.
Absence of structural brain changes from mindfulness-based stress reduction: Two combined randomized controlled trials

Studies purporting to show changes in brain structure following the popular, 8-week mindfulness-based stress reduction (MBSR) course are widely referenced despite major methodological limitations. Here, we present findings from a large, combined dataset of two, three-arm randomized controlled trials with active and waitlist (WL) control groups. Meditation-naïve participants (n = 218) completed structural magnetic resonance imaging scans during two visits: baseline and postintervention period. After baseline, participants were randomly assigned to WL (n = 70), an 8-week MBSR program (n = 75), or a validated, matched active control (n = 73). We assessed changes in gray matter volume, gray matter density, and cortical thickness. In the largest and most rigorously controlled study to date, we failed to replicate prior findings and found no evidence that MBSR produced neuroplastic changes compared to either control group, either at the whole-brain level or in regions of interest drawn from prior MBSR studies.