Miracle-dz/UniFAR-FTUs huggingface dataset:
Context-Aware Faster RCNN for CSI-Based Human Action Perception

With the widespread deployment of commercial wireless devices, researchers begin to focus on device-free sensing tasks. In the field of action perception, existing WiFi-based sensing works mostly follow the framework in which action instances of channel state information (CSI) are first extracted and then classified. As for the part of human action detection, a majority of works adopt threshold based sliding window or frame-by-frame detection methods. However, it is hard for the former approach to set a reasonable threshold for all samples. As for the latter, it costs a relatively substantial amount of labor to label each moment of the time sequences. In order to overcome the above problems, we design an end-to-end context-aware faster region-based convolutional neural networks (RCNN) framework named Wisense to simultaneously detect the temporal boundaries as well as classify the actions. More specifically, Wisense consists of backbone net, region proposal net (RPN), pooling layer, and the prediction net, which directly regresses the action location along the time axis and classifies the action types. For the sake of wireless signal temporal detection, we transform the input into 1-D feature map and extract multiscale 1-D anchors. Besides, in order to sufficiently mine the context information, we extend the boundaries of region proposals and further establish the temporal pyramid features. Experimental results conducted in three indoor scenes validate the effectiveness of our proposed Wisense.
Antidepressant-Like Activity of Solvent Fractions of the Root Bark of Carissa spinarum Linn. (Apocynaceae) in Rodents Involves Multiple Signaling Pathways

Background The root bark of Carissa spinarum Linn. (Apocynaceae) is claimed to be used for the management of depression in Ethiopian folkloric medicine, and the crude extract has been reported to possess antidepressant-like activity in rodents. Objective This study aimed to evaluate the antidepressant-like effect of different fractions of the root bark in rodents and the possible underlying mechanisms in rats. Methods A 70% ethanol extract of the root bark was successively fractionated with n-butanol, ethyl acetate, and water. Animals of both sexes received 2% Tween 80, imipramine (30 mg/kg), or various doses (50, 100, 200 mg/kg) of the fractions. Duration of immobility was determined using the tail suspension test and the forced swim test. Locomotor activity was evaluated in the open field test. Serum corticosterone levels, total phenols, flavonoids, and alkaloids were determined. Preliminary mechanistic studies were also performed to explore possible mechanisms of action of the active fraction. Results All fractions but the aqueous fraction significantly (p<0.001) decreased the duration of immobility in both tests, with the ethyl acetate fraction being the most active. The locomotor test revealed that the activity was not due to non-specific psycho-stimulant effects. Serum corticosterone levels were reduced by both fractions, with the ethyl acetate fraction again being the most effective. Mechanistic studies showed the involvement of multiple neurotransmission systems, including adrenergic, dopaminergic and cholinergic as well as L-Arginine-NO-cGMP pathway. Higher contents of phenols (42.42 vs 29.8 mgGAE/g), flavonoids (12.43 vs 2.07 mgQE/g), and alkaloids (0.17 vs 0.07 mgATE/g) were found in the ethyl acetate than in the n-butanol fraction. Conclusion The present findings collectively indicate that the ethyl acetate and n-butanol fractions are endowed with antidepressant-like activity due to the presence of phenols, flavonoids, and alkaloids, which are medium polar in nature.
Double-layered vertically integrated amorphous-In2Ga2ZnO7 thin-film transistor

Two serially connected and vertically integrated amorphous-In2Ga2ZnO7 thin film transistors (V-TFTs) with ∼600 and 400-nm channel lengths were fabricated. Top and bottom V-TFTs showed well-behaved transfer characteristics with an Ion/Ioff ratio of ∼108 and a sub-threshold swing of ∼0.6 V/dec., which are much improved results compared with the previous report on single-layer V-TFTs. Electrical performances of two V-TFTs were cross-checked, and they showed certain influences from the other device depending on operation conditions, which was attributed to charge trapping in the gate dielectric layer during gate voltage sweeping. V-TFT with thermally grown SiO2 showed negligible charge trapping behavior.
Constitutive activity of the dopamine (D5) receptor, highly expressed in CA1 hippocampal neurons, selectively reduces CaV3.2 and CaV3.3 currents

CaV3.1‐3 currents differentially contribute to neuronal firing patterns. CaV3 are regulated by G protein‐coupled receptors (GPCRs) activity, but information about CaV3 as targets of the constitutive activity of GPCRs is scarce. We investigate the impact of D5 recpetor constitutive activity, a GPCR with high levels of basal activity, on CaV3 functionality. D5 recpetor and CaV3 are expressed in the hippocampus and have been independently linked to pathophysiological states associated with epilepsy.
Elimination on electron multipacting in superconducting structures for electron accelerators

Electron multipacting in a 2.8‐GHz TM010‐mode anodized niobium test cavity at 1.4 K has been studied experimentally. An electron multipactor simulation computer program, which we developed, successfully calculates the multipactor field levels and multipactor location observed experimentally and also provides additional details of the multipactor phenomena. With the multipactor simulation program, a sharp‐cornered TM010‐mode cavity has been designed in which multipacting is greatly reduced. A subsequent experiment on such a sharp‐cornered anodized niobium cavity has shown that electron multipacting is in fact eliminated for this cavity up through the highest field achieved. This work has shown that, with a simple modification in geometry, multipacting can probably be eliminated in the superconducting structure for the Stanford electron accelerator.
PENGEMBANGAN MULTIMEDIA INTERAKTIF BERBASIS TEORI VAN HIELE UNTUK MATERI LINGKARAN KELAS VIII SMP

Interactive learning multimedia is a supporting tool in the learning process that is able to activate students to learn with high motivation because of their interest in multimedia systems that present text, image, video, audio and animation displays so that they are more interesting and help visualize topics that are still abstract. The purpose of this research is to develop an interactive learning multimedia for material of circles that was valid and practical. The type of research used is development research using the Plomp model which consists of a preliminary research stage and a prototype-making stage. The preliminary research phase includes needs analysis, student analysis, curriculum analysis and concept analysis. The prototype stage is the interactive learning multimedia design stage consisting of 1st prototype, 2nd prototype, 3rd prototype, and 4th prototype which are evaluated using a formative evaluation design. The results of this study indicate that the interactive learning multimedia produced is valid and practical. Keywords – Geometry, Interactive learning multimedia, Plomp, Van hiele theory
Effectiveness and safety of ear acupuncture for tension-type headache: A protocol for a systematic review and meta-analysis

Introduction: Tension-type headache (TTH) refers to a type of functionalism disease, which is commonly characterized by recurrent headaches of mild to moderate intensity, bilateral location, pressing or tightening quality, and no aggravation by routine physical activity. Has significantly impacts on people’s work and life. Ear acupuncture as a traditional Chinese therapy, showing several advantages (e.g., safety, economy, and less side effects), has been extensively used to treat TTH. However, its curative effect is supported by limited evidence. Accordingly, the present study aims to comprehensively assess the reliability of ear acupuncture in TTH. Methods and analysis: The study will conduct a systematic review and meta-analysis. Seven databases, including the Embase, Cochrane Library, Pubmed, SinoMed, CNKI, VIP, and Wanfang Data, will be searched using predefined search terms to identify relevant studies. The primary outcomes will be the pain intensity, the pain frequency and the impact of headache. The methodological quality of the included studies will be assessed with a previously established checklist. The Cochrane Collaboration’s bias risk tool will be used for assessing the bias of included RCTs. Stata 17.0 software is used for meta-analysis.
TWO THUMBS UP! A Review of the “PULMOSERYE: Pulmonary Patient Miniseries… Dead or Alive: The Saga of Mang Jose”- a Clerkship Learning Activity During the Pandemic

The World Health Organization declared Covid 19 a pandemic in March 2020, disrupting medical education and creating a significant void in the hospital rotation of the clinical clerks. Alternative methods of teaching and learning had to be instituted, and since face-to-face encounters were still not allowed, all these activities had to be online. While the various activities were able to challenge critical analysis and thinking, the Section on Pulmonary Medicine felt that the clerks would benefit most from activities that would most closely simulate an actual patient encounter. And so, the PulmoSerye was born: a miniseries that followed the patient from initial consultation in the emergency room resulting in admission, events that happened in the ward, formulation of the Master Problem List, progress notes, giving discharge orders, writing the discharge summary, and finally a follow up via Telemedicine. This is what the clerks would have experienced if they had been in hospital. Activities such as the Pulmoserye should be highly considered as a viable option should clerkship hospital rotations once again be put on hold. Key words: Covid 19, online learning, medical education, innovation, clinical clerkship
Three-dimensional analysis of the geometrical rectifying properties of asymmetric metal-vacuum-metal junctions and extension for energy conversion

A. Mayer,1,* M. S. Chung,2 B. L. Weiss,3 N. M. Miskovsky,4 and P. H. Cutler4 1FUNDP University of Namur, Rue de Bruxelles 61, B-5000 Namur, Belgium 2Department of Physics, University of Ulsan, Ulsan 680-749, Korea 3Department of Physics, 130 CAC, The Pennsylvania State University, Altoona, Pennsylvania 16601, USA 4Department of Physics, 104 Davey Laboratory, The Pennsylvania State University, University Park, Pennsylvania 16802, USA Received 15 August 2007; published 8 February 2008
Comorbidity and Cancer Disease Rates among Those at High-Risk for Alzheimer’s Disease: A Population Database Analysis

(1) Importance: Alzheimer’s disease (AD) is complex and only partially understood. Analyzing the relationship between other more treatable or preventable diseases and AD may help in the prevention and the eventual development of treatments for AD. Risk estimation in a high-risk population, rather than a population already affected with AD, may reduce some bias in risk estimates. (2) Objective: To examine the rates of various comorbidities and cancers in individuals at high-risk for AD, but without a clinical diagnosis, relative to individuals from the same population with normal AD risk. (3) Design, Setting, and Participants: We conducted a study using data from the Utah Population Database (UPDB). The UPDB contains linked data from the Utah Cancer Registry, Utah death certificates, the Intermountain Health patient population, and the University of Utah Health patient population. Subjects were selected based on the availability of ancestral data, linked health information, and self-reported biometrics. (4) Results: In total, 75,877 participants who were estimated to be at high risk for AD based on family history, but who did not have an active AD diagnosis, were analyzed. A lower incidence of diabetes (RR = 0.95, 95% CI [0.92,0.97], p < 0.001), hypertension (RR = 0.97, 95% CI [0.95,0.99], p < 0.001), and heart disease (RR = 0.95, 95% CI [0.93,0.98], p < 0.001) was found. There was no difference in rates of cerebrovascular disease or other forms of dementia. Of the 15 types of cancer analyzed: breast (RR = 1.23, 95% CI [1.16, 1.30], p < 0.001); colorectal (RR = 1.30, 95% CI [1.21, 1.39], p < 0.001); kidney (RR = 1.49, 95% CI (1.29, 1.72), p < 0.001); lung (RR = 1.25, 95% CI [1.13, 1.37], p < 0.001); non-Hodgkin’s Lymphoma (RR = 1.29, 95% CI [1.15, 1.44], p < 0.001); pancreas (RR = 1.34, 95% CI [1.16, 1.55], p < 0.001); stomach (RR = 1.59, 95% CI [1.36, 1.86], p < 0.001); and bladder (RR = 1.40, 95% CI [1.25, 1.56], p < 0.001), cancers were observed in significant excess among individuals at high-risk for AD after correction for multiple testing. (5) Conclusions and Relevance: Since age is the greatest risk factor for the development of AD, individuals who reach more advanced ages are at increased risk of developing AD. Consistent with this, people with fewer comorbidities earlier in life are more likely to reach an age where AD becomes a larger risk. Our findings show that individuals at high risk for AD have a decreased incidence of various other diseases. This is further supported by our finding that our high-risk group was also found to have an increased incidence of various cancers, which also increase in risk with age. There is the possibility that a more meaningful or etiological relationship exists among these various comorbidities. Further research into the etiological relationship between AD and these comorbidities may elucidate these possible interactions.
Determination of VaR on BBRI Stocks and BMRI Stocks Using the ARIMA-GARCH Model

Stocks are investment instruments that are much in demand by investors as a basis in financial storage. Return and risk are the most important things in investing. Return is a complete summary of investment and the return series is easier to handle than the price series. The movement of risk of loss is obtained from stock investments with profits. One way to calculate risk is value-at-risk. The movement of stocks is used to form a time series so that the calculation of risk can use time series. The purpose of this study was to find out the Value-at-Risk value of BBRI and BMRI stock using the ARIMA-GARCH model. The data used in this study was the daily closing price for 3 years. The time series method used is the Autoregressive Integrated Moving Average (ARIMA)-Generalized Autoregressive Conditional Heteroscedastic (GARCH) model. The stage of analysis is to determine the prediction of stock price movements using the ARIMA model used for the mean model and the GARCH model is used for volatility models. The average value and variants obtained from the model are used to calculate value-at-risk in BBRI and BMRI stock. The results obtained are the ARIMA(3,0,3)-GARCH(1,1) and ARIMA(2,0,2)-GARCH(1,1) model so with a significance level of 5% obtained Value-at-Risk of 0.04058 to BBRI stock and 0.10167 to BMRI stock.
THE EFFECT OF PEER-ASSISTED LEARNING ON MEDICAL LABORATORY SCIENCE STUDENTS’ ACHIEVEMENT

Background: There was an urgent need for peer-assisted learning in the medical laboratory science program following examination failure in hematology, microbiology, and parasitology courses. Aim: The present study aimed to explore the effect of peers in supporting the low achiever medical laboratory science students at Alfajr College for Science and Technology. Methods: An experimental study was conducted at the medical laboratory science program. According to final exam results for the end-of-semester three all low achiever students in hematology [N=76/124 (61%)], microbiology [N=61/124 (49%)], parasitology [N=54/124 (48%)] and chemical pathology [N= 55/125 (36%)] courses assigned to peer-assisted learning groups by high achiever students (senior) under the lecturers' supervision. The results of the end-of-semester four were compared to the end-of- semester three exam results, and the differences in achievement were measured. Results: Students' achievements were significantly higher in the semester four final exam in parasitology, hematology, microbiology, and chemical pathology courses (P. value=<0.001; <0.001, <0.001 and <0.001), respectively. No significant differences in the histopathology course (P. value= 0.511). On the other hand, the achievement of high achiever students was significantly improved in parasitology (P. value= 0.006), while in microbiology and hematology courses was not (P. value= 0.046, and <0.001) respectively. Conclusions: Peer-assisted learning significantly positively affects low-achiever students. However, further research into peer-assisted learning on high-achievers as supporter students' is required.
Development of Machine Learning Algorithms Incorporating Electronic Health Record Data, Patient-Reported Outcomes, or Both to Predict Mortality for Outpatients With Cancer

PURPOSE Machine learning (ML) algorithms that incorporate routinely collected patient-reported outcomes (PROs) alongside electronic health record (EHR) variables may improve prediction of short-term mortality and facilitate earlier supportive and palliative care for patients with cancer. METHODS We trained and validated two-phase ML algorithms that incorporated standard PRO assessments alongside approximately 200 routinely collected EHR variables, among patients with medical oncology encounters at a tertiary academic oncology and a community oncology practice. RESULTS Among 12,350 patients, 5,870 (47.5%) completed PRO assessments. Compared with EHR- and PRO-only algorithms, the EHR + PRO model improved predictive performance in both tertiary oncology (EHR + PRO v EHR v PRO: area under the curve [AUC] 0.86 [0.85-0.87] v 0.82 [0.81-0.83] v 0.74 [0.74-0.74]) and community oncology (area under the curve 0.89 [0.88-0.90] v 0.86 [0.85-0.88] v 0.77 [0.76-0.79]) practices. CONCLUSION Routinely collected PROs contain added prognostic information not captured by an EHR-based ML mortality risk algorithm. Augmenting an EHR-based algorithm with PROs resulted in a more accurate and clinically relevant model, which can facilitate earlier and targeted supportive care for patients with cancer.
A Simple Method for the Construction of Empirical Confidence Limits for Economic Forecasts

Abstract A simple method for the construction of empirical confidence intervals for time series forecasts is described. The procedure is to go through the series making a forecast from each point in time. The comparison of these forecasts with the known actual observations will yield an empirical distribution of forecasting errors. This distribution can then be used to set confidence intervals for subsequent forecasts. The technique appears to be particularly useful when the mechanism generating the series cannot be fully identified from the available data or when limits based on more standard considerations are difficult to obtain.
Constructing Three-Dimensional Multiple-Radar Reflectivity Mosaics: Examples of Convective Storms and Stratiform Rain Echoes

Abstract The advent of Internet-2 and effective data compression techniques facilitates the economic transmission of base-level radar data from the Weather Surveillance Radar-1988 Doppler (WSR-88D) network to users in real time. The native radar spherical coordinate system and large volume of data make the radar data processing a nontrivial task, especially when data from several radars are required to produce composite radar products. This paper investigates several approaches to remapping and combining multiple-radar reflectivity fields onto a unified 3D Cartesian grid with high spatial (≤1 km) and temporal (≤5 min) resolutions. The purpose of the study is to find an analysis approach that retains physical characteristics of the raw reflectivity data with minimum smoothing or introduction of analysis artifacts. Moreover, the approach needs to be highly efficient computationally for potential operational applications. The appropriate analysis can provide users with high-resolution reflectivity data that .
Perceptions of Mothers about Support and Self-Efficacy in Breastfeeding: A Qualitative Study

Breastfeeding is a complex process influenced by different personal and social factors which will determine both the initiation and the resilience for its maintenance. The aim is to identify the beliefs and expectations of mothers concerning breastfeeding to determine the perception of their self-efficacy and the influence on the management of their babies’ feeding. A qualitative study through semi-structured interviews was carried out. The sample size was defined by the saturation criteria. Twenty-two women participated, eleven were from an urban environment and eleven were from a rural environment. Mothers’ knowledge of breastfeeding, their expectations of that process, their experience, and their strategies for overcoming problems associated with initiating, establishing, and continuing breastfeeding were influenced by the role of nurses and midwives in supporting their perception of self-efficacy. Likewise, maternity policies are important for the continuance of exclusive breastfeeding. This study shows the complexity of the initiation and establishment of breastfeeding and the existence of several social factors surrounding these moments. Furthermore, it demonstrates the importance and reference of nurses and midwives and the role of State maternity policies.
Calcium-Lignosulfonate-Filled Rubber Compounds Based on NBR with Enhanced Physical–Mechanical Characteristics

Calcium lignosulfonate in the amount 30 phr was incorporated into rubber compounds based on pure NBR and an NBR carbon black batch, in which the content of carbon black was 25 phr. Glycerine, as a cheap and environmentally friendly plasticizer, was applied into both types of rubber formulations in a concentration scale ranging from 5 to 20 phr. For the cross-linking of rubber compounds, a sulfur-based curing system was used. The work was aimed at the investigation of glycerine content on the curing process and rheological properties of rubber compounds, cross-link density, morphology and physical–mechanical properties of vulcanizates. The results show that glycerine influences the shapes of curing isotherms and results in a significant decrease between the maximum and minimum torque. This points to the strong plasticizing effect of glycerine on rubber compounds, which was also confirmed from rheological measurements. The application of glycerine resulted in better homogeneity of the rubber compounds and in the better dispersion and distribution of lignosulfonate within the rubber matrix, which was subsequently reflected in the significant improvement of tensile characteristics of vulcanizates. A higher cross-link density as well as better physical–mechanical properties were exhibited by the vulcanizates based on the carbon black batch due to the presence of a reinforcing filler.
Statistical properties of a class of pseudorandom sequences

The class of sequences discussed in the paper consists of those sequences which can be produced by inversion of alternate values in binary maximal-length sequences. The statistical properties of such sequences are analysed in terms of their multidimensional higher-order autocorrelation functions, and the results are compared with the statistical properties of a truly random binary sequence. The odd-order autocorrelation functions are identically zero. Some general properties of the even-order autocorrelation functions are derived. A sampled-data Laguerre filter chain is used to assess the statistical properties of some typical sequences. The paper ends with a discussion of some techniques which can be used to form multilevel sequences.