Miracle-dz/UniFAR-FTUs huggingface dataset:
Question Similarity Measurement of Chinese Crop Diseases and Insect Pests Based on Mixed Information Extraction

The Question Similarity Measurement of Chinese Crop Diseases and Insect Pests (QSM-CCD&IP) aims to judge the user’s tendency to ask questions regarding input problems. The measurement is the basis of the Agricultural Knowledge Question and Answering (Q & A) system, information retrieval, and other tasks. However, the corpus and measurement methods available in this field have some deficiencies. In addition, error propagation may occur when the word boundary features and local context information are ignored when the general method embeds sentences. Hence, these factors make the task challenging. To solve the above problems and tackle the Question Similarity Measurement task in this work, a corpus on Chinese crop diseases and insect pests (CCDIP), which contains 13 categories, was established. Then, taking the CCDIP as the research object, this study proposes a Chinese agricultural text similarity matching model, namely, the AgrCQS. This model is based on mixed information extraction. Specifically, the hybrid embedding layer can enrich character information and improve the recognition ability of the model on the word boundary. The multi-scale local information can be extracted by multi-core convolutional neural network based on multi-weight (MM-CNN). The self-attention mechanism can enhance the fusion ability of the model on global information. In this research, the performance of the AgrCQS on the CCDIP is verified, and three benchmark datasets, namely, AFQMC, LCQMC, and BQ, are used. The accuracy rates are 93.92%, 74.42%, 86.35%, and 83.05%, respectively, which are higher than that of baseline systems without using any external knowledge. Additionally, the proposed method module can be extracted separately and applied to other models, thus providing reference for related research.
Antifungal Activity against Fusarium oxysporum of Botanical End-Products: An Integration of Chemical Composition and Antifungal Activity Datasets to Identify Antifungal Bioactives

Plants produce various compounds as defensive barriers to naturally control fungal diseases. Among them, vascular wilt caused by Fusarium oxysporum is one of the most destructive diseases in crops, causing relevant economic losses. The application of synthetic fungicides is the most used management for this disease. However, this kind of method also involves adverse environmental impacts. Therefore, alternative methods are continuously being developed as a strategy to be involved in integrated pest management programs. Thus, as part of our research on antifungals of plant origin, a group of botanical extracts was assessed for the respective inhibitory effect on mycelium and conidia of F. oxysporum. Mycelial growth inhibition was measured in 12-well plates containing amended semi-solid medium, whereas conidial susceptibility was determined through microdilution. The identification of the bioactive compounds among test extracts was performed using an indirect approach, consisting of the integration of chemical composition and antifungal activity datasets through single-Y orthogonal partial least squares (OPLS) regression. Results showed that Piper aduncum extract was the most potent mycelial growth inhibitor whereas P. elongatum exhibited the best effect on conidia susceptibility. The active compounds identified through statistical integration and subsequent isolation were piperaduncin C, asebogenin and (−)-methyllinderatin. These findings indicated that the integrative, indirect approach is useful for the identification of bioactive metabolites from botanical extracts to be further used as biological protective agents against this phytopathogen.
Dietary Animal to Plant Protein Ratio Is Associated with Risk Factors of Metabolic Syndrome in Participants of the AHS-2 Calibration Study

Background: Few research studies have focused on the effects of dietary protein on metabolic syndrome and its components. Our objective was to determine the relationship between the type of dietary protein intake and animal to plant (AP) protein ratio with metabolic syndrome and its components. Methods: This population-based study had a cross sectional design and conducted on 518 participants of the Adventist Health Study 2 (AHS-2) Calibration Study. Two sets of three dietary 24-h recalls were obtained six months apart. Anthropometric measures and biochemical tests were performed in clinics. Regression calibration models were used to determine the association of type of dietary protein with metabolic syndrome and its components (raised triglyceride, raised blood pressure, reduced high-density lipoprotein cholesterol (HDL), raised fasting blood glucose and increased waist circumference). Results: The likelihood of metabolic syndrome was lower in those with higher total dietary protein and animal protein intake (p = 0.02). Total protein (β = 0.004, [95%CI: 0.002, 0.007]), animal protein intake (β = 0.004, [95%CI: 0.001, 0.007]) and AP protein intake ratio (β = 0.034, [95%CI: 0.021, 0.047]) were positively associated with waist circumference. Higher AP protein ratio was related to higher fasting blood glucose (β = 0.023, [95%CI: 0.005, 0.041]). Conclusion: Our study suggests that considering a significant amount of plant protein as a part of total dietary protein has beneficial effects on cardiometabolic risk factors.
HRM system situational strength in support of strategy: its effects on employee attitudes and business unit performance

ABSTRACT Strong HRM systems, characterized by HRM processes that send clear and consistent messages to employees about what their employer values, expects and rewards, should be associated with a range of valued individual and organizational outcomes. Nonetheless, there are few empirical studies of the anticipated ties, especially at a unit-level of analysis. This study uses situational strength theory to test Bowen and Ostroff′s proposition that HRM systems contribute to firm performance when they communicate messages around strategic objectives in a manner that ensures a shared interpretation among employees. As one of the few studies to examine the extent to which shared interpretations of the messages communicated by HR practices associate with strategic organization climate and performance, we assess the effects of the HRM system strength construct at both the individual and group levels. As hypothesized, employee perceptions of HRM system strength associated positively with work-related attitudes and behavior. At the unit level, HRM system strength was positively linked to a strategic climate and to business performance (e.g. net income against target). This study draws attention to the importance of capturing the group level attributes of the HRM system strength construct.
X. On plane water-lines in two dimensions

(1.) Plane Water-Lines in two Dimensions defined. —By the term “Plane Water-Line in two Dimensions” is meant a curve which a particle of liquid describes in flowing past a solid body, when such flow takes place in plane layers of uniform thickness. Such curves are suitable in practice for the water-lines of a ship, in those cases in which the vertical displacements of the particles of water are small compared with the dimensions of the ship; for in such cases the assumption that the flow takes place in plane layers of uniform thickness, though not absolutely true, is sufficiently near the truth for practical purposes, so far as the determination of good forms of water-line is concerned. As water-line curves have at present no single word to designate them in mathematical language, it is proposed, as a convenient and significant term, to call them Neoïds (from νηòς, the Ionic genitive of νηòς). (2.) General Principles of the Flow of a Liquid past a Solid. —The most complete exposition yet published, so far as I know, of the principles of the flow of a liquid past a solid, is contained in Professor Stokes’s paper “On the Steady Motion of an Incompressible Fluid,” published in the Transactions of the Cambridge Philosophical Society for 1842. So far as those principles will be referred to in the present paper, they may be summed up as follows.
A Robust PVDF-Assisted Composite Membrane for Tetracycline Degradation in Emulsion and Oil-Water Separation

Tetracycline (TC) contamination in water has progressively exacerbated the environmental crisis. It is urgent to develop a feasible method to solve this pollution in water. However, polluted water often contains oil. This paper reported a glass fiber (FG)-assisted polyvinylidene fluoride (PVDF) hybrid membrane with dual functions: high TC degradation efficiency in emulsion and oil-water separation. It can meet the catalytic degradation of tetracycline in complex water. This membrane was decorated by coating the glass fiber with PVDF solution containing hydrophilic graphene oxide hybridized NH2-MIL-101(Fe) particles. Moreover, due to its strong mechanical strength enhanced by the glass fiber, it can be reused as TC degradation catalysts for dozens of times without cracking. Thanks to the hydrophobicity of PVDF and the surface pore size of MOFs, the prepared membrane showed a good oil-water separation performance. Besides, the hydrophilic graphene oxide (GO) and NH2-MIL-101(Fe) improved the membrane’s anti-fouling performance, allowing it to be reused as the separation membrane. Therefore, the outstanding stability and recoverability of the membrane make it as a fantastic candidate material for large-scale removal of TC as well as oil-water separation application.
Adaptive Method to Trajectory Tracking for Lane Changing

In the presence of parametric uncertainty, the adaptive control method for lane changing of intelligent vehicle was studied. Based on the lateral dynamical model of vehicle, by applying terminal sliding mode technology, the yaw-rate tracking control law for lane changing was designed and the estimation formula for uncertain control parameters was deduced by using direct adaptive method. By using the control law and adaptive law for uncertain parameter designed in this paper, expected control performance of stability of tracking error and the convergence property of parameter estimation values was verified from the simulation.
Simulation of the Physiological Characteristics of Pillar and Modiolar Fibers of the Auditory Nerve

The study of the physiological characteristics of the auditory nerve fibers is fundamental to understand their capability to encode sounds. These characteristics include their spontaneous firing rate, their threshold, and their dynamic range. Although it is possible to perform in vitro recordings of these characteristics in different cell models, it is complicated to obtain in vivo measurements of them directly from the cochlea. For example, the apex of the cochlea since it is an unreachable region which is vulnerable to surgical trauma that could result in altered recordings. In this paper, the behavior of Pillar and Modiolar fibers of the auditory nerve were simulated in response to tone bursts of different frequencies and intensities. The proposed model allowed us to associate the basal firing rates with the physiological characteristics of the different auditory nerve fibers. This is especially important since some noise-associated hearing losses, such as acoustic trauma, have been explained as selective fiber damages.Clinical Relevance— Models that describe the properties of auditory nerve fibers are important to study specific aspects of maturation as well as the causes of sensorineural hearing loss in humans.
Control of dc capacitor voltages in diode-clamped multilevel inverter using bidirectional buck-boost choppers

The dc capacitors voltage unbalancing is the main technical drawback of a diode-clamped multilevel inverter (DCMLI), with more than three levels. A voltage-balancing circuit based on buck–boost chopper connected to the dc link of DCMLI is a reliable and robust solution to this problem. This study presents four different schemes for controlling the chopper circuit to achieve the capacitor voltages equalisation. These can be broadly categorised as single-pulse, multi-pulse and hysteresis band current control schemes. The single-pulse scheme does not involve faster switching actions but need the chopper devices to be rated for higher current. The chopper devices current rating can be kept limited by using the multi-pulse scheme but it involves faster switching actions and slower response. The hysteresis band current control scheme offers faster dynamics, lower current rating of the chopper devices and can nullify the initial voltage imbalance as well. However, it involves much faster switching actions which may not be feasible for some of its applications. Therefore depending on the system requirements and ratings, one of these schemes may be used. The performance and validity of the proposed schemes are confirmed through both simulation and experimental investigations on a prototype five-level diode-clamped inverter.
Broad-bandwidth and low-loss metamaterials: Theory, design and realization

In this paper, we summarize some recent activities in the field of metamaterial research at the National University of Singapore (NUS). Integral equations are applied for electromagnetic modelling of supernatural materials. Some special characteristics of the metamaterials are shown. Moreover, quasi-static Lorentz theory and numerical method (i.e., the method of moments for solving the electric field integral equation) and the transmission line theory are both presented to obtain the effective constitutive relations of metamaterials, respectively. Finally, feasibility of fabricating metamaterials based on analysis of equivalent transmission line model in the microwave spectrum and even higher is also shown and correspondingly some broad-bandwidth and low-loss metamaterial structures are designed and synthesized.
MuDCoD: multi-subject community detection in personalized dynamic gene networks from single-cell RNA sequencing

Motivation With the wide availability of single-cell RNA-seq (scRNA-seq) technology, population-scale scRNA-seq datasets across multiple individuals and time points are emerging. While the initial investigations of these datasets tend to focus on standard analysis of clustering and differential expression, leveraging the power of scRNA-seq data at the personalized dynamic gene co-expression network level has the potential to unlock subject and/or time-specific network-level variation, which is critical for understanding phenotypic differences. Community detection from co-expression networks of multiple time points or conditions has been well-studied; however, none of the existing settings included networks from multiple subjects and multiple time points simultaneously. To address this, we develop MuDCoD for multi-subject community detection in personalized dynamic gene networks from scRNA-seq. MuDCoD builds on the spectral clustering framework and promotes information sharing among the networks of the subjects as well as networks at different time points. It clusters genes in the personalized dynamic gene networks and reveals gene communities that are variable or shared not only across time but also among subjects. Results Evaluation and benchmarking of MuDCoD against existing approaches reveal that MuDCoD effectively leverages apparent shared signals among networks of the subjects at individual time points, and performs robustly when there is no or little information sharing among the networks. Applications to population-scale scRNA-seq datasets of human-induced pluripotent stem cells during dopaminergic neuron differentiation and CD4+ T cell activation indicate that MuDCoD enables robust inference for identifying time-varying personalized gene modules. Our results illustrate how personalized dynamic community detection can aid in the exploration of subject-specific biological processes that vary across time. Availability MuDCoD is publicly available at https://github.com/bo1929/MuDCoD as a Python package. Implementation includes simulation and real-data experiments together with extensive documentation. Contact keles@stat.wisc. edu, otastan@sabanciuniv.edu Supplementary information Supplementary data are available at Bioinformatics online.
Can’t clap to a beat? How rhythmically challenged people experience and strategize keeping time to music

While the phenomenon of beat-deafness has been explored in clinical contexts, few studies have investigated how rhythmically challenged people experience the act of keeping time with music. Task-based semi-structured interviews were conducted with eight participants who self-identified as being unable to clap in time to a beat. Participants were asked to keep time with a gradated battery of musical stimuli using both claps and alternative gestures (e.g. head nodding, swaying) and to articulate their timekeeping experience and strategies. Analysis reveals three core themes: (a) an apparent disconnect between the act of identifying the beat and the physical act of clapping, (b) variation in strategies for keeping time depending on the type of musical example (i.e., whether the beat was explicitly played by a percussive instrument or not), and (c) variation in the ease of coordination and listening experience when a movement other than clapping was used to keep time. Despite being small in scale, this qualitative study sheds light on some of the underlying strategies and processes involved in beat abstraction and keeping time to music, informing options for the musical training of rhythmically challenged people.
Contactless Cell Permeabilization by Time-Varying Magnetic fields: Modelling Transmembrane Potential and Mechanical Stress in in- vitro Experimental Set-Up

The feasibility of using time-varying magnetic field as a contactless cells permeabilization method was demonstrated by experimental results, but the underlying mechanism is still poorly understood. In this study a numerical analysis of the transmembrane potential (TMP) at cell membranes during permeabilization by time-varying magnetic fields was proposed, and a first quantification of mechanical stress induced by the magnetic and electric fields and hypothesized to play an important role in the permeabilization mechanism was carried out. TMP values induced by typical in-vitro experimental conditions were far below the values needed for membrane permeabilization, with a strong dependence on distance of the cell from the coil. The preliminary assessment of the mechanical pressure and potential deformation of cells showed that stress values evaluated in conditions in which TMP values were too low to cause membrane permeabilization were comparable to those known to influence the pore opening mechanisms.Clinical Relevance— Results represent a significant step towards a better comprehension of the mechanism underlying cell membrane permeabilization by time-varying magnetic fields.
Usefulness of Microbiome for Forensic Geolocation: A Review

Forensic microbiomics is a promising tool for crime investigation. Geolocation, which connects an individual to a certain place or location by microbiota, has been fairly well studied in the literature, and several applications have been found. The aim of this review is to highlight the main findings in this field, including the current sample storage, DNA extraction, sequencing and data analysis techniques that are being used, and its potential applications in human trafficking and ancient DNA studies. Second, the challenges and limitations of forensic microbiomics and geolocation are emphasised, providing recommendations for the establishment of this tool in the forensic science community.
Examining Microarray Slide Quality for the EPA using SNL's Hyperspectral Microarray Scanner

This report summarizes research performed at Sandia National Laboratories (SNL) in collaboration with the Environmental Protection Agency (EPA) to assess microarray quality on arrays from two platforms of interest to the EPA. Custom microarrays from two novel, commercially produced array platforms were imaged with SNL's unique hyperspectral imaging technology and multivariate data analysis was performed to investigate sources of emission on the arrays. No extraneous sources of emission were evident in any of the array areas scanned. This led to the conclusions that either of these array platforms could produce high quality, reliable microarray data for the EPA toxicology programs. Hyperspectral imaging results are presented and recommendations for microarray analyses using these platforms are detailed within the report.
Fluvial transport in the deglaciated Antarctic catchment – Bohemian Stream, James Ross Island

ABSTRACT With the ongoing climate change and the prolongation of the summer melting season and increasing air temperature that this entails, fluvial transport is likely to become a more important process shaping the deglaciated areas of Antarctica. Quantification of suspended sediment transport in the deglaciated catchment of the Bohemian Stream is presented in this study. It was shown that a large amount of fine-grained material is being transported even in the relatively small catchment during the short period of the Antarctic summer. The average calculated suspended sediment concentration during the 2018 austral summer reached 274.6 mg l−1, which corresponded to an average suspended sediment load of 3662 kg day−1 and suspended sediment yield of 68 t km−2 year−1 when considering the flow season to be approximately 4 months per year. Such values are considerably higher than those reported from continental Antarctica; however, they are lower compared to most of the Arctic catchments.
Analisis Prediktif untuk Keputusan Bisnis : Peramalan Penjualan

Peramalan penjualan produk adalah aspek utama dari manajemen pembelian, persediaan yang melebihi permintaan atau kekurangan akan berdampak pada manajemen pelayanan maupun secara ekominis. Makalah ini fokus mencoba menyajikan penerapan analisis prediktif dengan mengadopsi kerangka kerja Data Science (ilmu data) untuk menemukan wawasan yang berguna dalam pengambilan keputusan bisnis khususnya tentang peramalan penjualan produk di masa depan. Kerangka CRISP-DM diusulkan dengan tahapan pemahasan bisnis, pemahaman dan persiapan data, exploratory data analysis (EDA) dan pemodelan. Berdasarkan hasil pengujian data penjualan yang dievaluasi berdasarkan RMSE dan MAE, algoritma XGBoost menghasilkan prediksi berada dalam 1,3% kemudian ARIMA sebesar 1.6%, masih lebih baik dibandingkan LinearRegression, RandomForestdan LSTM dengan tingkat kesalahan sebesar 1.81%, 1.97%, 2.21% pada masing-masing algoritma dari data aktual.
Shannon Limits for Low‐Temperature Detector Readout

Information theory places constraints on multiplexing large low‐temperature detector arrays. We discuss these constraints, and review the state of the art of multiplexed low‐temperature detector arrays. The number of detectors read out by each output communication channel is much smaller than the theoretical maximum predicted by the Shannon‐Hartley Theorem. We discuss emerging multiplexing techniques based on Walsh code‐division multiplexing and hybrid multiplexing modulation functions that have the potential to increase the number of pixels multiplexed in each communication channel closer to the Shannon limit.