Miracle-dz/UniFAR-FTUs huggingface dataset:
Rapid and Efficient Response to Gilteritinib and Venetoclax-Based Therapy in Two AML Patients with FLT3-ITD Mutation Unresponsive to Venetoclax Plus Azacitidine

Abstract The presence of FLT3-ITD mutation is associated with relapse and poor survival in AML patients. Venetoclax combined with hypomethylating agents (VEN+HMA) was approved for the frontline treatment of elderly or unfit AML patients, which leads to noteworthy impacts on AML management. The combination therapy is associated with encouraging efficacy in FLT3-mutated AML among both newly diagnosed unfit and relapsed/refractory patients. However, we found that two AML patients with FLT3-ITD mutation did not respond to venetoclax plus azacitidine (VEN+AZA). Given that the combined efficacy of venetoclax and the FLT3 inhibitor has been proved in pre-clinical models of FLT3+ AML, it is a scientific rationale to investigate venetoclax combined with the FLT3 inhibitor in AML patients with FLT3-ITD mutation. This is the first report of assessing the safety and response of gilteritinib (the first and only targeted second-generation FLT3 tyrosine kinase inhibitor approved by the US FDA) and venetoclax-based therapy in two AML patients with FLT3-ITD mutation unresponsive to VEN+AZA, which may bring new hope to FLT3 mutated patients who are unresponsive to VEN+HMA.
Cooperative Inference of DNNs for Delay- and Memory-Constrained Wireless IoT Systems

This work studies the cooperative inference of deep neural networks (DNNs), in which a memory-constrained end device performs a delay-constrained inference process with an aid of an edge server. Although several works considered the cooperative inference of DNNs in the literature, it was assumed in those works that the memory footprints at end devices are unlimited, which is in practice not realistic. To address this issue, in this work, a memory-aware cooperative DNN inference is proposed. Specifically, we propose to adopt knowledge distillation to obtain high-performing lightweight DNNs. To minimize the inference delay, we first analyze the end-to-end delay required for processing the proposed cooperative DNN inference, and then we minimize the delay by jointly optimizing the DNN partitioning point and the intermediate data transmission rate. Also, a dynamic DNN selection scheme is developed by fully exploiting the available memory resource in order to maximize the performance of the inference task in terms of inference accuracy. Experimental results demonstrate that the proposed cooperative DNN inference considerably outperforms the comparable schemes while satisfying both the delay constraint and the memory constraint.
Effect of Au Plasmonic Material on Poly M-Toluidine for Photoelectrochemical Hydrogen Generation from Sewage Water

This study provides H2 gas as a renewable energy source from sewage water splitting reaction using a PMT/Au photocathode. So, this study has a dual benefit for hydrogen generation; at the same time, it removes the contaminations of sewage water. The preparation of the PMT is carried out through the polymerization process from an acid medium. Then, the Au sputter was carried out using the sputter device under different times (1 and 2 min) for PMT/Au-1 min and PMT/Au-2min, respectively. The complete analyses confirm the chemical structure, such as XRD, FTIR, HNMR, SEM, and Vis-UV optical analyses. The prepared electrode PMT/Au is used for the hydrogen generation reaction using Na2S2O3 or sewage water as an electrolyte. The PMT crystalline size is 15 nm. The incident photon to current efficiency (IPCE) efficiency increases from 2.3 to 3.6% (at 390 nm), and the number of H2 moles increases from 8.4 to 33.1 mmol h−1 cm−2 for using Na2S2O3 and sewage water as electrolyte, respectively. Moreover, all the thermodynamic parameters, such as activation energy (Ea), enthalpy (ΔH*), and entropy (ΔS*), were calculated; additionally, a simple mechanism is mentioned for the water-splitting reaction.
Influence of Job Stress on Musculoskeletal Disorders Among Employees in Construction Industries in Kerala

The distinct explanation for job stress can be given as the stress related to a work. It occurs when physical and mental health of an employee changes in a positive or negative manner in response to environment which they work. Musculoskeletal Disorders (MSD) describes a complex of conditions that affects muscles, bones and joints. Previous research in this domain has done independently on both these topics from the very beginning. The proposed method is to determine the influence of job stress on work related musculoskeletal disorder among industrial employee in Kerala, India. Researches depicted certain factors which affects both stress and musculoskeletal disorder. In this work, well discussed and arranged Likart scale questionnaire is using for data collection from various construction sectors in Kerala. Multivariate statistical methods such as exploratory factor analysis and confirmatory factor analysis are carried out using statistical softwares such as SPSS and AMOS 20 respectively. The underlying factors obtained shows positive influence of job stress on musculoskeletal disorders among construction workers. Keywords— job stress, musculoskeletal disorder, multivariate statistical methods
A cross-sectional study on the use of near-visual display devices in the Middle-Eastern children population

PURPOSE: The objective of the study is to highlight the demographics, awareness of hazards, ocular symptoms, and healthy practices associated with the use of near-visual display devices (NVDD) in the Middle-Eastern children population. METHODS: Two hundred and sixty participants aged 4–16 years responded to a questionnaire on demographic aspects, symptoms, awareness of hazards, and healthy practices associated with the use of NVDD. RESULTS: Daily use, prolonged viewing (for 3 h or more), and the use of multiple NVDD (2 or more) were seen in the majority (79.6%, 90%, and 71.5%, respectively). Smartphones, tablets, and iPads were the most used devices. Symptoms were present in 92.3%. The association between appearance of symptoms and duration of exposure to the digital screen was statistically significant (P < 0.00001). Symptoms were itching (40.0%), watery eyes (31.0%), burning sensation (24.0%), headache (22.0%), excessive blinking (20.0%), dry eyes (20.0%), foreign body sensation (10.0%), redness (10.0%), eye or periorbital pain (8.0%), blurry vision (5.0%), and photophobia (3.0%). A low minority (9.2%) were aware of the harmful effects of prolonged use of NVDD and the protective measures against it; schools were not involved in educating students about the proper use of these devices. Sixty percent attended periodic eye checkup, 20.0% set time limit, 6.9% properly adjusted screen brightness, and 15.0% practiced outdoor play daily. CONCLUSION: Majority of the children (90%) were symptomatic when used NVDD excessively. Children are generally uneducated about healthy practices to prevent these symptoms. Spreading awareness among children and parents is important.
Consensus-Based Cooperative Spectrum Sensing with Improved Robustness Against SSDF Attacks

Abstract Based on the consensus algorithm, an attack-proof cooperative spectrum sensing (CSS) scheme is presented for decentralized cognitive radio networks (CRNs), where a common fusion center is not available and some malicious users may launch attacks with spectrum sensing data falsification (SSDF). Local energy detection is firstly performed by each secondary user (SU), and then, utilizing the consensus notions, each SU can make its own decision individually only by local information exchange with its neighbors rather than any centralized fusion used in most existing schemes. With the help of some anti-attack tricks, each authentic SU can generally identify and exclude those malicious reports during the interactions within the neighborhood. Compared with the existing solutions, the proposed scheme is proved to have much better robustness against three categories of SSDF attack, without requiring any a priori knowledge of the whole network.
Modelling of Limiter Phase Detector in the Presence of Noise and Interference

Abstract: An equivalent model of the limiter phase detector in the presence of Gaussian noise and cochannel interference is reported. The model is based on effective characteristics conditioned on the interference phase. The effective phase detector characteristic and the variance of the effective phase noise for a specific interference phase are given. The model is used to calculate the phase error probability density function of the closed first-order phase-locked loop.
Carbon Nanotube SRAM in 5-nm Technology Node Design, Optimization, and Performance Evaluation—Part I: CNFET Transistor Optimization

In this article, we propose a carbon nanotube (CNT) field-effect transistor (CNFET)-based static random access memory (SRAM) design at the 5-nm technology node that is optimized based on the tradeoff between performance, stability, and power efficiency. In addition to size optimization, physical model parameters including CNT density, CNT diameter, and CNFET flat band voltage are evaluated and optimized for CNFET SRAM performance improvement. Optimized CNFET SRAM is compared with state-of-the-art 7-nm FinFET SRAM cell based on Arizona State University [ASAP 7-nm FinFET predictive technology models (PTM)] library. We find that the read, write EDPs, and static power of the proposed CNFET SRAM cell are improved by 67.6%, 71.5%, and 43.6%, respectively, compared with the FinFET SRAM cell, with slightly better stability. CNT interconnects both inside and in-between CNFET SRAM cells are considered to compose an all-carbon-based SRAM (ACS) array which will be discussed in the Part II of this article. A 7-nm FinFET SRAM cell with copper interconnects is implemented and used for comparison.
Measurement of dispersion of PM 2.5 in Thailand using confidence intervals for the coefficient of variation of an inverse Gaussian distribution

Air pollution is a growing concern for the general public in Thailand with PM 2.5 (particulate matter ≤ 2.5 µm) having the greatest impact on health. The inverse Gaussian (IG) distribution is used for examining the frequency of high concentration events and has often been applied to analyze pollution data, with the coefficient of variation (CV) being used to calculate the quantitative difference in PM 2.5 concentrations. Herein, we propose confidence intervals for the CV of an IG distribution based on the generalized confidence interval (GCI), the adjusted generalized confidence interval (AGCI), the bootstrap percentile confidence interval (BPCI), the fiducial confidence interval (FCI), and the fiducial highest posterior density confidence interval (F-HPDCI). The performance of the proposed confidence intervals was evaluated by using their coverage probabilities and average lengths from various scenarios via Monte Carlo simulations. The simulation results indicate that the coverage probabilities of the AGCI and FCI methods were higher than or close to the nominal level in all of test case scenarios. Moreover, FCI outperformed the others for small sample sizes by achieving the shortest average length. The efficacies of the confidence intervals were demonstrated by using PM 2.5 data from the Din Daeng and Bang Khun Thian districts in Bangkok, Thailand.
A Beam Scanning Method based on the Helical Antenna for Space-based AIS

We investigate a strategy to address the problem of low ship detection probability of space-based Automatic Identification System (AIS). A directional AIS antenna and an innovative beam scanning method are proposed, which scan the antenna across a wide swath to provide complete coverage and maintain the advantage of a narrow footprint to reduce signal collision. Aiming at the mission requirement of global ship detection by the year 2016, the appropriate swath, the scanning range and the scanning rate were studied and designed in detail. Theoretical analysis and simulations showed that this scanning antenna can greatly improve ship detection probability and hold the detection probability at an average reporting interval from six to 15 seconds for most oceans when compared with the traditional fixed wide beam antenna. Furthermore, the detection capacity of this scanning antenna was little affected by the heights of different Low Earth Orbits. The results of this work show that the design of the helical antenna along with the beam scanning method can be considered as a building block of future space-based AIS.
Refined co-SVD Recommender Algorithm: Data Processing and Performance Metrics

: A resurgence of research interest in recommender systems can be attributed to the widely publicized Netflix competition with the grand prize of USD 1 million. The competition enabled the promising collaborative filtering algorithms to come to prominence due to the availability of a large dataset and from it, the growth in the use of matrix factorization. There have been many recommender system projects centered around use of matrix factorization, with the co-SVD approach being one of the most promising. However, the field is chaotic using different benchmarks and evaluation metrics. Not only the performance metrics reported are not consistent, but it is difficult to reproduce existing research when details of the data processing and hyper-parameters lack clarity. This paper is to address these shortcomings and provide researchers in this field with a current baseline through the provision of detailed implementation of the co-SVD approach. To facilitate progress for future researchers, it will also provide results from an up-to-date dataset using pertinent evaluation metrics such as the top-N recommendations and the normalized discounted cumulative gain measures.
Highly resolved modeling of extreme wind speed in North America and Europe

High wind speed (U) is one of the most dangerous natural hazards in North America and Europe. As a result, spatially explicit, statistical estimation of extreme U is of particular relevance for many sectors. However, the most common sources of wind speed data such as reanalysis data and in situ measurements are limited for this purpose due to their coarse spatial resolution and low representativeness. Thus, the main goal was to develop a high spatial resolution (250 m × 250 m) model (GloWiSMo‐X) for monthly mapping of the maximum hourly U for a 10‐year return period (U10yr) in North America and Europe. The multistep development of GloWiSMo‐X is based on 2544 hourly U time series available from the integrated surface global hourly meteorological data set (UNCEI), U time series from ERA5 (UERA5), and mean wind speed from the Global Wind Speed Model ( U¯GloWiSMo ). Firstly, the block maxima method was applied to estimate monthly wind speed for a 10‐year return period for both UNCEI (U10yr,NCEI) and UERA5 (U10yr,ERA5). Secondly, the least squares boosting approach was used to predict the target variable U10yr,NCEI yielding the predictions Û10yr . The predictor variables U10yr,ERA5, U¯GloWiSMo , continent, and month were used as input. It was found that the highest monthly continental means of Û10yr ( U¯10yr ) in January are 16.4 m/s in North America and 16.3 m/s in Europe. U¯10yr dropped to 13.4 m/s and 12.5 m/s in August. The annual cycle of U¯10yr is more pronounced in Europe than in North America. The central parts of the USA and Western Europe were identified as intracontinental regions with the highest U¯10yr . GloWiSMo‐X proves to be very broadly applicable as it covers two different continents and all months. The model validation by the mean squared error (MSE) demonstrates its improved predictive power compared to ERA5.
Advantages of Using Both Voxel- and Surface-based Morphometry in Cortical Morphology Analysis: A Review of Various Applications

Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical morphology, such as volume, thickness, area, and gyrification, whereas voxel-based morphometry (VBM) is a typical method of gray matter (GM) volumetry that includes cortex measurement. In cases where SBM is used to estimate cortical morphology, it remains controversial as to whether VBM should be used in addition to estimate GM volume. Therefore, this review has two main goals. First, we summarize the differences between the two methods regarding preprocessing, statistical analysis, and reliability. Second, we review studies that estimate cortical morphological changes using VBM and/or SBM and discuss whether using VBM in conjunction with SBM produces additional values. We found cases in which detection of morphological change in either VBM or SBM was superior, and others that showed equivalent performance between the two methods. Therefore, we concluded that using VBM and SBM together can help researchers and clinicians obtain a better understanding of normal neurobiological processes of the brain. Moreover, the use of both methods may improve the accuracy of the detection of morphological changes when comparing the data of patients and controls. In addition, we introduce two other recent methods as future directions for estimating cortical morphological changes: a multi-modal parcellation method using structural and functional images, and a synthetic segmentation method using multi-contrast images (such as T1- and proton density-weighted images).
Cahokia and the North American Worlds

The City of Cahokia provides a unique case study to review what draws people to a place and why. This Element examines not only the emergence and decline of this great American city but its intersection with the broader Native American world during this period. Cahokia was not an isolated complex but a place vivid on the landscape where people made pilgrimages to and from Cahokia for trade and religious practices. Cahokia was a centre-place with expansive reach and cultural influence. This Element analyses the social and political processes that helped create this city while also reflecting on the trajectory of Native American history in North America.
HistShot: A Shot Type Dataset based on Historical Documentation during WWII

: Automated shot type classification plays a significant role in film preservation and indexing of film datasets. In this paper a historical shot type dataset (HistShot) is presented, where the frames have been extracted from original historical documentary films. A center frame of each shot has been chosen for the dataset and is annotated according to the following shot types: Close-Up (CU), Medium-Shot (MS), Long-Shot (LS), Extreme-Long-Shot (ELS), Intertitle (I), and Not Available/None (NA). The validity to choose the center frame is shown by a user study. Additionally, standard CNN-based methods (ResNet50, VGG16) have been applied to provide a baseline for the HistShot dataset.
Real-Time Global Nonlinear Aerodynamic Modeling for Learn-To-Fly

Flight testing and modeling techniques were developed to accurately identify global nonlinear aerodynamic models for aircraft in real time. The techniques were developed and demonstrated during flight testing of a remotely-piloted subscale propeller-driven fixed-wing aircraft using flight test maneuvers designed to simulate a Learn-To-Fly scenario. Prediction testing was used to evaluate the quality of the global models identified in real time. The real-time global nonlinear aerodynamic modeling algorithm will be integrated and further tested with learning adaptive control and guidance for NASA Learn-To-Fly concept flight demonstrations.
Management of Accidental Succinylcholine Ingestion: Navigating Uncharted Waters

Accidental oral ingestion of intravenous drugs is rare and under-reported, which may lead to serious morbidity and worsen the outcome for the patient. Though oral ingestion of sedatives and opioid drugs is reported, literature regarding the ingestion of muscle relaxants and subsequent management is limited. We report an interesting case of oral intake of 10 ml (500 mg) of injection Succinylcholine, a depolarizing muscle relaxant, by a psychiatric patient awaiting electroconvulsive therapy (ECT) in the pre-procedure room. We hereby report the subsequent sequence of events along with the suggested recommendations to be followed in the case of such an eventuality. To the best of our knowledge, this is the first case report of oral ingestion of a depolarizing neuromuscular blocking drug and its subsequent consequences.
Animal Welfare and Food Safety When Slaughtering Cattle Using the Gunshot Method

Simple Summary Transporting cattle from the farm to the slaughterhouse is often stressful for the animal. With the gunshot method, it is stunned using a rifle while together with familiar herd members in an enclosure on the farm. The shot makes the animal unconscious. Then, as in normal slaughter, the animal is bled to death. Finally, it is transported to a nearby slaughterhouse. We aimed to assess the consequences for animal welfare and food safety of using the gunshot method. Twenty Hereford steers were shot with a hunting rifle using small-calibre ammunition from an elevated position and distance of 6–12 m. Each time, only one out of four to seven animals in a 16 × 10 m corral was shot. Based on the animals’ behaviour and physiological blood values, stress levels before shooting were low. Eleven animals were considered completely unconscious, while seven showed some signs of consciousness and two were poorly stunned. Two animals were reshot with heavier ammunition. Bleeding was satisfactory and little or no contamination was found on the carcasses. We conclude that the gunshot method is applicable to large beef steers while maintaining a satisfactory level of animal welfare and food safety, provided that the necessary conditions can be achieved. Abstract Transporting cattle from farm to slaughterhouse is often stressful for the animal, which can impair the meat quality. With the gunshot method, the animal is stunned with a rifle shot while together with familiar herd members in their home environment, exsanguinated and transported to a nearby slaughterhouse. Aiming to assess the consequences for animal welfare and food safety, 20 Hereford steers aged 18–54 months were shot with . 22 Magnum ammunition from an elevated position and distance of 6–12 m. Each time, only one out of four to seven animals in a 16 × 10 m corral was shot. Dressing was done on farm. Based on the animals’ behaviour and blood concentrations of cortisol, glucose and lactate, stress levels before shooting were low. Eleven animals were deeply stunned, the consciousness of seven others was ambiguous, and two were poorly stunned. Two animals were reshot. The bleed-out was satisfactory for all animals, and little or no faecal contamination was found on the carcasses. We conclude that the gunshot method is applicable to large beef steers while maintaining a satisfactory level of animal welfare and food safety, provided that the necessary conditions can be attained.