Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementing Adaptive Function Allocation

Adaptive function allocation, in which the control of tasks dynamically shifts between humans and machines, has been proposed as an alternative to traditional static allocation, in which task control is assigned during system design and remains unchanged during operations. Understanding adaptive allocation and its effects on operator performance and workload is limited by sparse systematic research and an underdeveloped theoretical framework for implementation. The purpose of this research was to determine the efficacy of adaptive allocation by implementing adaptive allocation in a multiple task aviation simulation based on a taxonomy with facets of invocation philosophy and allocation strategy. Pilot performance was evaluated to determine benefits and costs for the implementation of adaptive allocation in a multitask aviation simulation with tracking, system monitoring, and target identification tasks. The results provide support for the implementation of adaptive allocation based on a hybrid model comprising elements of operator performance and mission relevant variables. Implementation of adaptive allocation was an effective countermeasure to the predictable decrease in tracking performance associated with the initial presentation of a surface target. Benefits were also identified for monitoring task performance despite the fact that the monitoring task was not modified by the implementation of automation. Secondary benefits included improved time estimates. Potential costs of adaptive allocation included performance variability in the tracking when task partitioning was the adaptive strategy. Implications of results for design, philosophy, and theory are presented.
WEEDICIDE PROPERTIES OF TRASH BLANKETS AND TIMING OF APPLICATION OF PRE-EMERGENT HERBICIDES ON TRASH

THE EFFICACY OF some pre-emergent herbicides when applied on a green cane trash blanket (GCTB) has been established, but their relevance in terms of yield and profit increase is still disputable. Three trials were implemented in 2010 in the Mackay area to study the impact of different GCTB levels on the weed population and cane yield. Cane yield was higher when grown with a GCTB compared to bare soil. There was no significant yield difference between trash treatments, but there was a trend in favour of the thicker trash levels. The management of broadleaf weeds and grasses improved with an increasing level of trash. Growth of vines was slowed down by the thickest trash level only. Two other trials compared different strategies in ratoons including preemergent herbicides applied at different periods. Variable outcomes were obtained in each trial but slightly better cane yields were obtained with strategies including an early pre-emergent herbicide. Strategies including an early pre-emergent herbicide were more efficient to control the weed population.
Pemberdayaan Kecakapan Berpikir Siswa SMA Bertaraf Internasional Melalui Pengembangan Perangkat Pembelajaran Materi Redox Reaction Berorientasi “Group Investigation Cooperative”

Abstract:To empower the thinking skills of students in Senior High School, instructional materials in redox reaction was developed and implemented by using the principles of group investigation cooperative. Design of research development was four - D model, consist of Define, Design, Develop, and Disseminate. Data of the research was analyzed by descriptive statistic. From this research was found that: (1) The instructional materials that have been developed consist of lesson plan, students’ book, worksheets, assessment and power point are good in construction, content, language and empirical validity; and also contain principles of group investigation cooperative; (2) The dissemination activity expressed that the feasibility of lesson plan by teacher was good, and it could empower students’ thinking skills that indicated by increasingstudents activity to plan and to carry out investigations, to analyze and to evaluate the results of the investigation and to write report of investigation result. Keywords: thinking skills, instructional materials, group investigation cooperative, redox reaction Abstrak : Dalam rangka memberdayakan kecakapan berpikir siswa di SMA, perangkat pembelajaran reaksi redoks dikembangkan dan diimplementasikan menggunakan prinsip-prinsip kooperatif investigasi kelompok. Desain penelitian pengembangan menggunakan Four-D Model, terdiri dari Define, Design, Develop, dan Disseminate. Data penelitian dianalisis dengan statistik deskriptif. Hasil temuan penelitian ini adalah: (1) Perangkat pembelajaran yang dikembangkan terdiri dari lesson plan, students’ book, worksheets, assessment dan power point telah memenuhi validitas konstruksi, isi, bahasa, dan empiris, serta telah sesuai dengan prinsip-prinsip kooperatif investigasi kelompok, (2) Kegiatan diseminasi menunjukkan keterlaksanaan lesson plan oleh guru adalah baik, dan dapat memberdayakan kecakapan berpikir siswa yang ditandai dengan peningkatan aktivitas siswa dalam kegiatan merencanakan dan melakukan penyelidikan, menganalisis dan mengevaluasi hasil penyelidikan serta menyusun laporan hasil penyelidikan. Kata kunci: kecakapan berpikir, perangkat pembelajaran, group investigation cooperative, redox reaction
Finding the Signal in the Noise—Interday Reliability and Seasonal Sensitivity of 84 Countermovement Jump Variables in Professional Basketball Players

Supplemental Digital Content is Available in the Text. Abstract Mercer, RAJ, Russell, JL, McGuigan, LC, Coutts, AJ, Strack, DS, and McLean, BD. Finding the signal in the noise—interday reliability and seasonal sensitivity of 84 countermovement jump variables in professional basketball players. J Strength Cond Res 37(2): 394–402, 2023—This study examined the measurement characteristics of countermovement jump (CMJ) variables in basketball athletes using different variable selection criteria. Test-retest reliability (noise) and seasonal variability (signal) CMJ data were collected from 13 professional basketball athletes playing for the same club throughout 1 competitive season. Interday reliability (coefficient of variation [CV] and intraclass correlation coefficients) were calculated over 3 preseason tests conducted on 3 consecutive days. To evaluate sensitivity, signal-to-noise ratio (SNR) was calculated by dividing seasonal variability (CV) from 8 in-season CMJ tests (collected from November to February) by preseason reliability (CV). Players performed 3 CMJs each testing day, and 3 data analysis techniques were applied: a single variable from the trial with either the best jump height (BestJH; calculated by flight time) or the best flight time to contraction time (BestFT:CT) and mean output across 3 jumps (Mean3). Mean3 was the most reliable data analysis technique, with 79 and 82 of 84 variables displaying lower interday CVs compared with BestJH and BestFT:CT, respectively. Overall, many CMJ measures display seasonal changes that are greater than the inherent noise, with 77 variables producing SNR of >1.00 for Mean3 compared with 65 and 58 variables for BestJH and BestFT:CT, respectively. To improve reliability and sensitivity, it is recommended that practitioners use the average of multiple CMJ trials and regularly reassess measurement characteristics specific to their cohort and environment.
Variable frequency sinusoidal oscillators based on CCII/sup +/

Using the two-integrator loop biquadratic general structure and positive second-generation current conveyor (CCII/sup +/) as the active elements, a set of variable frequency sinusoidal oscillators is synthesized. Some of the derived structures are new and three of them have been carefully analyzed because of their special interest at high frequency. Experimental results show an excellent agreement with theoretical predictions. Finally, it is shown that an extensive relation of oscillating configurations reported in the literature could be derived from the general block diagram proposed in this paper.
A second functional furin site in the SARS-CoV-2 spike protein

ABSTRACT The ubiquitously-expressed proteolytic enzyme furin is closely related to the pathogenesis of SARS-CoV-2 and therefore represents a key target for antiviral therapy. Based on bioinformatic analysis and pseudovirus tests, we discovered a second functional furin site located in the spike protein. Furin still increased the infectivity of mutated SARS-CoV-2 pseudovirus in 293T-ACE2 cells when the canonical polybasic cleavage site (682–686) was deleted. However, K814A mutation eliminated the enhancing effect of furin on virus infection. Furin inhibitor prevented infection by 682–686-deleted SARS-CoV-2 in 293T-ACE2-furin cells, but not the K814A mutant. K814A mutation did not affect the activity of TMPRSS2 and cathepsin L but did impact the cleavage of S2 into S2′ and cell–cell fusion. Additionally, we showed that this functional furin site exists in RaTG13 from bat and PCoV-GD/GX from pangolin. Therefore, we discovered a new functional furin site that is pivotal in promoting SARS-CoV-2 infection.
Optimization of accurate estimation of single diode solar photovoltaic parameters and extraction of maximum power point under different conditions

Introduction. With the snowballing requirement of renewable resources of energy, solar energy has been an area of key concern to the increasing demand for electricity. Solar photovoltaic has gotten a considerable amount of consideration from researchers in recent years. Purpose. For generating nearly realistic curves for the solar cell model it is needed to estimate unknown parameters with utmost precision. The five unknown parameters include diode-ideality factor, shunt-resistance, photon-current, diode dark saturation current, and series-resistance. Novelty. The proposed research method hybridizes flower pollination algorithm with least square method to better estimate the unknown parameters, and produce more realistic curves. Methodology. The proposed method shows many promising results that are more realistic in nature, as compared to other methods. Shunt-resistance and series-resistance are considered and diode constant is not neglected in this approach that previously has been in practice. The values of series-resistance and diode-ideality factor are found using flower pollination algorithm while shunt-resistance, diode dark saturation current and photon-current are found through least square method. Results. The combination of these techniques has achieved better results compared to other techniques. The simulation studies are carried on MATLAB/Simulink.
A shared decision‐making intervention by pharmacy students to improve statin adherence

Despite the well‐established value of statins in reducing cardiovascular events, nearly half of patients fail to receive maximum benefit due to nonadherence. Studies indicate that motivational interviewing (MI) by pharmacy students can improve statin adherence. The benefit of incorporating an individualized approach, including shared‐decision making (SDM), is unknown, as is the student‐perceived value of this activity in their professional development.
Deep Convolutional Feature-Driven Rate Control for the HEVC Encoders

This work proposes a rate control model based on deep convolutional features to improve the video coding performance of the HEVC encoders under the random access (RA) configuration. The proposed algorithm extracts high-level features from the original and previous coded frames using a pretrained visual geometry group (VGG-16) model by considering characteristics of a different temporal layer for the RA configuration. Subsequently, R–λ parameters (alpha and beta), bit allocation, λ estimation, and quantization parameter decision at frame-level are formulated by utilizing the extracted high-level features to maintain video quality and bitrate accuracy control. In addition, bit allocation at the group-of-picture (GOP)-level rate control is proposed with perceptual-based thresholding to control smooth bitrates and visual quality between adjacent GOPs. The results verify that the proposed algorithm is efficient in coding performance and bit accuracy by keeping visual quality. Compared with the existing R–λ rate model in HM-16.20, the proposed models can achieve an average BD-rate gain of -4.39% and -8.74% in PSNR and MSSSIM metrics for the RA configuration, respectively.
Downregulation of WNT8A, LRP5, LRP6 and FGF8 in Malay Non-Syndromic Cleft Lip and/or Palate Patients

Non-syndromic cleft lip and/or palate (NSCL/P) is a one of the most common birth defects occurs as a result of multi-factorial determinants such as genetic and environmental factors. Genetic factor has been studying widely across different population in identifying genes causing cleft defects. This study aims to validate the role of fibroblast growth factors (FGFs) and signalling molecules Wingless-type (Wnt) to the occurrence of cleft lip and/or palate among Malay population. Tissue skin was obtained from consented NSCL/P patients who underwent the cleft lip repair operation at the upper lip skin area and non NSCL/P individual was obtained from patient having traumatic injury at the lip area as a control. Expression pattern of FGF8, FGF10, Wnt8a, and LRP5/6 were tested and validated using Western Blot (WB) and quantitative Reverse Transcriptase-PCR (qRT-PCR). The fold change difference of FGF8 (0.614 ± 0.1012-fold), FGF10 (0.7188 ± 0.1017-fold) and Wnt8a protein (0.9051 ± 0.0142-fold) was downregulated by 1-fold in cleft lip (CL) tissues compared to the normal meanwhile LRP5/6 protein (1.2201 ± 0.1404-fold) was found upregulated by 1-fold. Validation testing confirmed that expression of FGF8 (p=0.014), Wnt8a (0.0762 ± 0.0227), LRP5 (0.3577 ± 0.1362) and LRP6 (0.3093 ± 0.2541) were significantly reduced in CL tissues compared to normal. This is the first study identified defective regulation of Wnt8a, LRP5, LRP6 and FGF8 in NSCL/P among Malays. These novel findings clearly explained the important role of growth factors FGF and Wnt signalling pathway in lip and palate formation during craniofacial development.
MicroRNA and Alternative mRNA Splicing Events in Cancer Drug Response/Resistance: Potent Therapeutic Targets

Cancer is a multifaceted disease that involves several molecular mechanisms including changes in gene expression. Two important processes altered in cancer that lead to changes in gene expression include altered microRNA (miRNA) expression and aberrant splicing events. MiRNAs are short non-coding RNAs that play a central role in regulating RNA silencing and gene expression. Alternative splicing increases the diversity of the proteome by producing several different spliced mRNAs from a single gene for translation. MiRNA expression and alternative splicing events are rigorously regulated processes. Dysregulation of miRNA and splicing events promote carcinogenesis and drug resistance in cancers including breast, cervical, prostate, colorectal, ovarian and leukemia. Alternative splicing may change the target mRNA 3′UTR binding site. This alteration can affect the produced protein and may ultimately affect the drug affinity of target proteins, eventually leading to drug resistance. Drug resistance can be caused by intrinsic and extrinsic factors. The interplay between miRNA and alternative splicing is largely due to splicing resulting in altered 3′UTR targeted binding of miRNAs. This can result in the altered targeting of these isoforms and altered drug targets and drug resistance. Furthermore, the increasing prevalence of cancer drug resistance poses a substantial challenge in the management of the disease. Henceforth, molecular alterations have become highly attractive drug targets to reverse the aberrant effects of miRNAs and splicing events that promote malignancy and drug resistance. While the miRNA–mRNA splicing interplay in cancer drug resistance remains largely to be elucidated, this review focuses on miRNA and alternative mRNA splicing (AS) events in breast, cervical, prostate, colorectal and ovarian cancer, as well as leukemia, and the role these events play in drug resistance. MiRNA induced cancer drug resistance; alternative mRNA splicing (AS) in cancer drug resistance; the interplay between AS and miRNA in chemoresistance will be discussed. Despite this great potential, the interplay between aberrant splicing events and miRNA is understudied but holds great potential in deciphering miRNA-mediated drug resistance.
High-Dose Gabapentin and Amitriptyline in the Treatment of Refractory Chemotherapy-Induced Peripheral Neuropathy in a Toddler

Pharmacologic management of chemotherapy-induced peripheral neuropathy (CIPN) in pediatric patients remains a challenge. Without effective treatment to control pain from CIPN in children, reduction or discontinuation of life-saving chemotherapeutic medications may be required. Various combinations of medications are available, but none have been thoroughly evaluated for their effectiveness in managing CIPN in the pediatric population. We present the clinical management of severe CIPN in a 3-year-old child with pre-B acute lymphoblastic lymphoma that was refractory to a regiment that included high-dose gabapentin and opioids. Therapy was subsequently adjusted to include amitriptyline, eliminating the need for opioids with complete resolution of symptoms. The potential combination pharmacotherapies for pediatric CIPN are discussed and mechanisms accounting for inadequate response with monotherapy are presented.
Can Professional Football Players Adapt to Air Pollution? Evidence From China

In this paper, we study the impact of air pollution on Chinese professional football players’ performance. Our primary research question is whether the negative effects of air pollution can be mitigated by adaptation, and which cohort of players can have higher adaptability. We find that a higher pollution level during the game, relative to the adapted pollution level in players’ home cities, has a negative and significant impact on the players’ efforts and accuracy. The impact of non-adapted air pollution can be greatly offset by the home advantage, but not by personal attributes such as the higher ability.
STABLE JORDAN: HOW A MONARCHY SURVIVED DISORDER

ABSTRACT The Hashemite Kingdom of Jordan has recently experienced large-scale unrest on a scale not witnessed for several years. The country, long viewed as a beacon of stability in a deeply fragile region, now faces a growing risk that it could be destabilised. This article addresses multiple pillars of stability and drivers of instability in Jordan, including the impact of the Syrian crisis, large-scale displacement, resource scarcity, and chronic political, economic, and social difficulties. Whilst the regime has endured crisis and remained stable, increasing pressures in the past few years have led analysts to predict the onset of violence or deepening instability in Jordan.
The influence of a top cover on the leakage from microstrip line

When a microwave integrated circuit is enclosed in a package, the top cover causes the transmission lines used in the circuit to become leaky at a lower frequency than otherwise. This effect is found to be particularly dramatic for microstrip line, and the leakage is strong enough to produce crosstalk that can ruin the performance of the circuit.
A novel risk signature with 6 RNA binding proteins for prognosis prediction in patients with glioblastoma

Abstract Recent studies suggested that RNA binding proteins (RBPs) were related to the tumorigenesis and progression of glioma. This study was conducted to identify prognostic RBPs of glioblastoma (GBM) and construct an RBP signature to predict the prognosis of GBM. Univariate Cox regression analysis was carried out to identify the RBPs associated with overall survival of GBM in the The Cancer Genome Atlas (TCGA), GSE16011, and Repository for Molecular Brain Neoplasia data (Rembrandt) datasets, respectively. Overlapping RBPs from the TCGA, GSE16011, and Rembrandt datasets were selected. The biological role of prognostic RBPs was assessed by Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and protein–protein interaction analyses. Least absolute shrinkage and selection operator regression analysis and multivariate Cox regression analysis were used to construct an RBP-related risk signature. The prognostic value of RBP signature was measured by Kaplan–Meier method and time-dependent receiver operating characteristic curve. A nomogram based on independent prognostic factors was established to predict survival for GBM. The CGGA cohort was used as the validation cohort for external validation. This study identified 27 RBPs associated with the prognosis of GBM and constructed a 6-RPBs signature. Kaplan–Meier curves suggested that high-risk score was associated with a poor prognosis. Area under the curve of 1-, 3-, and 5-year overall survival was 0.618, 0.728, and 0.833 for TCGA cohort, 0.655, 0.909, and 0.911 for GSE16011 cohort, and 0.665, 0.792, and 0.781 for Rembrandt cohort, respectively. A nomogram with 4 parameters (age, chemotherapy, O6-methylguanine-DNA methyltransferase promoter status, and risk score) was constructed. The calibration curve showed that the nomogram prediction was in good agreement with the actual observation. The 6-RBPs signature could effectively predict the prognosis of GBM, and our findings supplemented the prognostic index of GBM to a certain extent.
Properties and Colorimetric Performance of Screen-Printed Thermochromic/UV-Visible Fluorescent Hybrid Ink Systems

In the present research, properties and performance of special effect printing inks were observed with the aim of obtaining a printed product with dual functional properties. Thermochromic liquid crystal-based printing ink (TLC) and UV-visible (daylight invisible) fluorescent inks (UVF), pure and as hybrid ink systems, were printed using a screen-printing technique on two types of uncoated paper substrates. Characterization of the paper substrates was performed, as well as detailed analysis of printed layers. Thickness, surface roughness, surface free energy, and adhesion parameters of printed layers were analysed. Spectral reflectance of pure UVF and TLC printing inks, as well as the spectral reflectance of the proposed hybrid ink systems were measured. The thermochromic effect of the TLC ink and hybrid systems was analysed. Microscopy was used to display the visual colour play effect and the effect of the fluorescence. Results of the measurements showed high compatibility of used materials in the proposed hybrid ink systems. Since the effect of luminescence and the colour play effect in the hybrid systems were preserved, it can be concluded that TLC/UVF hybrid ink systems can find their application in the development of functional packaging and in all other applications with special requirements for temperature monitoring and hidden information for different products.
Recent findings about the confining effect of geogrids from large scale laboratory testing

To investigate the contribution of geogrids to the strength of reinforced soil large scale labora- tory triaxial and plane strain testing has been carried out at RWTH Aachen University. The outcomes of the triaxial tests clearly show the development of an additional confining effect of the reinforcement. The contri- bution of this effect to the development of the horizontal earth pressure on the facing of reinforced retaining walls has then been investigated with plane strain model tests. The significant reduction of the earth pressure, that has been assumed and reported various times during the past two decades, could be confirmed with these tests. However, analysing displacements and rotations of the soil particles during retraction of the facing, the deve- lopment of shear zones within the reinforced soil body has been identified. The results clearly show an arch- ing effect of the soil between the stabilizing geogrid layers.