Miracle-dz/UniFAR-FTUs huggingface dataset:
Is CropSyst adequate for management-oriented simulation of growth and yield of processing tomato?

The model CropSyst has proven useful for management-oriented simulations of growth and yield of cereals and other fi eld crops, but no scientifi c information is available with reference to processing tomato. The aim of this paper was to parameterise and validate the crop module of CropSyst for the simulation of potential fruit production in processing transplanted tomato (Lycopersicon esculentum Mill.). Parameterisation and calibration were performed by using fi eld data from an experiment carried out in 1997 in Central Italy. The same set of parameters was validated against fi ve independent experiments, carried out on the same location in 1998, 1999, 2000, 2001 and 2002. The simulation of aerial biomass was always very good, with RRMSE values ranging from 7.5 to 13.4% and modelling effi ciencies (EI) always above 0.976. The simulation of LAI was very good during the fi rst part of growing season (up to 40-50 days after transplanting), while the decreasing trend in the fi nal part of growing cycle was not always reliably simulated. Indeed, RRMSE for LAI ranged from 13.5 to 26.8% and EI ranged from 0.849 to 0.966. The differences between simulated and observed fi nal fruit yield were below 10%, except in one year (18% in 2001), confi rming the practical value of this model, for management and legislative purposes. For research purposes, it is confi rmed that the simulation of dry matter partitioning is a crucial issue in vegetable crops such as tomato, wherein the growth of sources and sinks coexists for a main part of crop cycle.
Caseinolytic Proteins (Clp) in the Genus Klebsiella: Special Focus on ClpK

Caseinolytic proteins (Clp), which are present in both prokaryotes and eukaryotes, play a major role in cell protein quality control and survival of bacteria in harsh environmental conditions. Recently, a member of this protein family, ClpK was identified in a pathogenic strain of Klebsiella pneumoniae which was responsible for nosocomial infections. ClpK is linked to the thermal stress survival of this pathogen. The genome wide analysis of Clp proteins in Klebsiella spp. indicates that ClpK is present in only 34% of the investigated strains. This suggests that the uptake of the clpk gene is selective and may only be taken up by a pathogen that needs to survive harsh environmental conditions. In silico analyses and molecular dynamic simulations show that ClpK is mainly α-helical and is highly dynamic. ClpK was successfully expressed and purified to homogeneity using affinity and anion exchange chromatography. Biophysical characterization of ClpK showed that it is predominantly alpha-helical, and this is in agreement with in silico analysis of the protein structure. Furthermore, the purified protein is biologically active and hydrolyses ATP in a concentration- dependent manner.
Optimal Promotions of Competing Firms in a Frictional Labour Market with Organizational Hierarchies

We study optimal promotion decisions of hierarchical firms, with one junior and one senior managerial position, which interact in a search and matching labor market. Workers acquire experience over time while being employed in a junior position and the firm has to determine the experience level at which the worker receives a promotion which allows her to fill a senior position. Promoted workers move to the senior position in their current firm, if it is vacant, otherwise they search for senior positions on the market. The promotion cut-offs of the competing firms exhibit strategic complementarity, but we show that generically a unique stable symmetric general equilibrium exists. If workers have homogeneous skills, then an increase in the skill level induces faster promotion. In the presence of two skill levels in the work force an increase of the fraction of high skilled leads to slower promotion of both types of workers, where the promotion threshold for high skilled workers is substantially below that for low-skilled workers. This implies earlier promotions of high skill workers compared to the low skilled consistent with available empirical evidence. Finally, we show that inserting pyramidal firms, which have twice as many junior than senior positions, into the market induces all firms to promote later. Pyramidal firms in equilibrium promote substantially later than vertical firms which is supported by the exsiting empirical findings. The paper also makes a methodological contribution by combining search and matching theory with simulations in order to characterize the general equilibrium promotion cut-offs in a market setting with heterogeneous hiearchical firms.
Stress Analysis of Membrane Flapping-Wing Aerial Vehicle Based on Different Material Models

Recent studies of flapping-wing aerial vehicles have been focused on the aerodynamic performance based on linear materials. Little work has been done on structural analysis based on nonlinear material models. A stress analysis is conducted in this study on membrane flapping-wing aerial vehicles using finite element method based on three material models, namely, linear elastic, Mooney-Rivlin non linear, and composite material models. The purpose of this paper is to understand how different types of materials affect the stresses of a flapping-wing. In the finite element simulation, each flapping cycle is divided into twelve stages and the maximum stress is calculated in each stage. The results show that 1) there are two peak stress values in one flapping cycle; one at the beginning stage of down stroke and the other at the beginning of upstroke, 2) maximum stress at the beginning of down stroke is greater than that at the beginning of upstroke, 3) maximum stress based on each material model is different. The composite and the Mooney-Rivlin nonlinear models produce much less stresses compared to the linear material model; and 4) the ratio of downstroke maximum stress and upstroke maximum stress varies with different material models. This research is helpful in answering why insect wings are so impeccable, thus providing a possibility of improving the design of flapping-wing aerial vehicles.
Polarity Detection for Twitter Users Group Name : BHE 6 Group Number : 5

In this project, we study the problem of political polarity detection, which aims to predict a person’s political leaning according to his/her behaviors on social network. We designed a conditional random field model that can classify a person into two partisans: democratic and republican, conducted experiment on a politicians’ twitter dataset released in 2016 and compared with existing baselines, and also collected a new twitter dataset with more complete information. Our experiment results indicate our model is effective.
ZEB 1 drives prometastatic actin cytoskeletal remodeling by downregulating miR-34 a expression

Metastatic cancer is extremely difficult to treat, and the presence of metastases greatly reduces a cancer patient’s likelihood of long-term survival. The ZEB1 transcriptional repressor promotes metastasis through downregulation of microRNAs (miRs) that are strong inducers of epithelial differentiation and inhibitors of stem cell factors. Given that each miR can target multiple genes with diverse functions, we posited that the prometastatic network controlled by ZEB1 extends beyond these processes. We tested this hypothesis using a mouse model of human lung adenocarcinoma metastasis driven by ZEB1, human lung carcinoma cells, and human breast carcinoma cells. Transcriptional profiling studies revealed that ZEB1 controls the expression of numerous oncogenic and tumor-suppressive miRs, including miR-34a. Ectopic expression of miR-34a decreased tumor cell invasion and metastasis, inhibited the formation of promigratory cytoskeletal structures, suppressed activation of the RHO GTPase family, and regulated a gene expression signature enriched in cytoskeletal functions and predictive of outcome in human lung adenocarcinomas. We identified several miR-34a target genes, including Arhgap1, which encodes a RHO GTPase activating protein that was required for tumor cell invasion. These findings demonstrate that ZEB1 drives prometastatic actin cytoskeletal remodeling by downregulating miR-34a expression and provide a compelling rationale to develop miR-34a as a therapeutic agent in lung cancer patients. Research Article Oncology
Factors Affecting Students’ Intention to Use Massive Open Online Courses

Massive Open Online Courses (MOOCs) attract many researchers because of their massiveness, openness, machine and peer assessment, yet there are still many questions to be answered. This study was conducted at FPT University in Can Tho during the 2020-2021 academic year using the quantitative approach. A purposeful sampling technique was used to select 226 participants who partook at least one MOOC on the Coursera platform. The questionnaire consists of 18 items adapted from Technology Acceptance Model (TAM) developed by Davis (1989), and Learning Strategies, by Marton and Säljö (1976). The findings showed that perceived ease of use (PEOU), and perceived usefulness (PU) have a great impact on students’ intention to use MOOCs in the future, PU, however, has a stronger and more direct correlation to the acceptability of MOOCs. Furthermore, surface learning strategy has a negative effect on the intention to enroll in MOOCs while deep learning strategy was not significantly correlated with intended future use of MOOCs. More importantly, a valuable finding was that surface learning strategy was in inverse proportion to courses variable and it can be lessened. Our findings are expected to offer a multi-dimensional view for students, especially those in the current context as well as MOOCs developers in order to design curricula.
Characterizing sampling biases in the trace gas climatologies of the SPARC Data Initiative

Monthly zonal mean climatologies of atmospheric measurements from satellite instruments can have biases due to the nonuniform sampling of the atmosphere by the instruments. We characterize potential sampling biases in stratospheric trace gas climatologies of the Stratospheric Processes and Their Role in Climate (SPARC) Data Initiative using chemical fields from a chemistry climate model simulation and sampling patterns from 16 satellite‐borne instruments. The exercise is performed for the long‐lived stratospheric trace gases O3 and H2O. Monthly sampling biases for O3 exceed 10% for many instruments in the high‐latitude stratosphere and in the upper troposphere/lower stratosphere, while annual mean sampling biases reach values of up to 20% in the same regions for some instruments. Sampling biases for H2O are generally smaller than for O3, although still notable in the upper troposphere/lower stratosphere and Southern Hemisphere high latitudes. The most important mechanism leading to monthly sampling bias is nonuniform temporal sampling, i.e., the fact that for many instruments, monthly means are produced from measurements which span less than the full month in question. Similarly, annual mean sampling biases are well explained by nonuniformity in the month‐to‐month sampling by different instruments. Nonuniform sampling in latitude and longitude are shown to also lead to nonnegligible sampling biases, which are most relevant for climatologies which are otherwise free of biases due to nonuniform temporal sampling.
Hybrid Vigor: Securing Venture Capital by Spanning Categories in Nanotechnology

This study develops and tests a set of novel theoretical predictions about the conditions under which category spanning is rewarded by external audiences. To do this, we revisit the assumption that comprehensible organizational identities are associated with individual categories. Drawing on insights from cognitive psychology, we suggest that category spanning does not necessarily lead to confusion, but rather to interpretations that rely on a 'header-modifier' structure where one category anchors cognition but is modified by features of the other. Audiences may have clear understandings about how categories fit together and cognate schema for evaluating firms that hybridize by spanning between them. An empirical examination of venture capital in the carbon nanotechnology industry supports our approach: startups were rewarded or punished for hybridization contingent on how they mixed 'science' and 'technology' in their patents, top management team, and collaborations. As such, we show that the category a firm starts in, how it hybridizes, and the degree to which this affects core versus peripheral identity markers may all affect how it is perceived.
“Möbius” microring resonator

A category of optical microring resonator, which is analogous to the Mobius strip, is proposed. The “Mobius” microring resonator allows the conversion between modes with different polarizations in the ring, and light must circulate two cycles to be converted back to the original polarization status, which is similar to a Mobius strip. This topology structure of polarization makes the free spectral range half of that which corresponds to the cavity round trip. The eigenmodes of this microring are hybridizations of different polarizations, and the breaking of the rotation invariance of the ring makes the transmission related to the polarization of input light and the relative rotation of the cavity. Our work opens the door towards the photonic devices with nontrivial mode topology and provides another way to engineer photonic structures for fundamental studies.A category of optical microring resonator, which is analogous to the Mobius strip, is proposed. The “Mobius” microring resonator allows the conversion between modes with different polarizations in the ring, and light must circulate two cycles to be converted back to the original polarization status, which is similar to a Mobius strip. This topology structure of polarization makes the free spectral range half of that which corresponds to the cavity round trip. The eigenmodes of this microring are hybridizations of different polarizations, and the breaking of the rotation invariance of the ring makes the transmission related to the polarization of input light and the relative rotation of the cavity. Our work opens the door towards the photonic devices with nontrivial mode topology and provides another way to engineer photonic structures for fundamental studies.
Fusion of Low-Quality Visible and Infrared Images Based on Multi-Level Latent Low-Rank Representation Joint With Retinex Enhancement and Multi-Visual Weight Information

Latent low-rank representation has been applied to multi-level image decomposition for the fusion of infrared and visible images to obtain good results. However, when the original infrared and visible images are of low quality, the visual effect of the fused images is still unsatisfactory. To combat this challenge, this paper proposes an infrared and visible image fusion method based on multi-level latent low-rank representation joint with image enhancement and multiple visual weight information. First, the source images are decomposed into detail parts - including detail images and detail matrices - and the base images respectively using multi-level latent low-rank representation. Then the nuclear norm based fusion strategy is used to fuse the detail matrices and multi-visual weights determined by the clarity, local contrast and edge-corner saliency is used to fuse the detail images. The aforementioned two fusion results are weight averaged to obtain a fused detail image. The base images are fused by an averaging strategy after Retinex-based enhancement. The final fused image is obtained by combining the fused detail image and the fused base image. Compared with other state-of-the-art fusion methods, the proposed algorithm displays better fusion performance in both subjective and objective evaluation.
Chapter 3 Wireless Communication Systems for Urban Transport

This chapter describes the main features of the wireless communication systems of urban rail and related applications. The perspective will be complete: application, network and physical layers will be discussed. Moreover, to properly address some of the challenges that these systems face, we will provide a deep insight into propagation issues related to tunnels and urban areas. Finally, a detailed survey on the directions of research on all these topics will be provided.
Partnership for Advanced Computing in Europe GEANT 4 on Large Intel Xeon Phi Clusters : Service Implementation and Performance

The fast and precise simulation of particle interactions with matter is an important task for several scientific areas, ranging from fundamental science (high-energy physics experiments, astrophysics and astroparticle physics, nuclear investigations) through applied science (radiation protection, space science), to biology and medicine (DNA investigations, hadron therapy, medical physics and medical imaging) and education. The basic software in all these fields is Geant4 (GEometry ANd Tracking) – a platform for simulation of the passage of particles through matter [1]. Along the way towards enabling the execution of Geant4 based simulations on HPC architectures with large clusters of Intel Xeon Phi co-processors as a general service, we study the performance of this software suit on the supercomputer system Avitohol@BAS, commenting on the pitfalls in the installation and compilation process. Some practical scripts are collected in the supplementary material shown in the appendix. INTRODUCTION GEANT4 [1] is a software toolkit for simulation of the interactions of particles with matter. It exploits the objectoriented technology to achieve transparency of the physics implementation, as well as openness to extension and evolution. GEANT4 encompasses a wide set of tools for all the domains of detector simulation, including geometry modelling, detector response, run and event management, tracking, visualization and user interface. An abundant set of physics processes handles the diverse interactions of particles with matter across a wide energy range, as required by GEANT4 multi-disciplinary nature. The GEANT4 source code, libraries and user documentation are freely available [2-4]. GEANT4 is the successor of the FORTRAN-based GEANT series of software toolkits [5], which dates back to 1978. GEANT4 is the first version developed using object oriented technology and is implemented in C++. GEANT4 can be used as a stand-alone tool and linked as a library. For example, in applications like CMSSW [6] (high-energy physics) and GATE [7] (medical physics), GEANT4 is accessed through a complex framework. The HPC approach used is based on GRID technology. The largest research facilities in HEP (high-energy physics) use the Worldwide LHC Computing Grid (WLCG) infrastructure to perform such simulations. In this approach, different computers simulate different events. The events are fully independent, so no data transfer between different computers is needed. The problems along this way are two-fold: • With the increasing data volumes, the resources become more and more insufficient, even with structures like WLCG. • New architectures like those involving large number of Intel Xeon Phi accelerators are not used efficiently by the largest HPC community worldwide.
Correlated Factors on Performance of Tuberculosis Program Officers at Health Center in Increasing the Finding of New AFB Smear-Positive Cases

Semarang regency had CDR issues under the national target. The activity of new cases finding determine the success of the tuberculosis eradication programs, so the process of find new AFB smear-positive cases by officers is crucial. The purpose of this study was to determine factors related to the performance of tuberculosis officers at the Health Center in increasing the findingof New AFB smear-positive cases (case study in Semarang regency). This type of research is observational analytic, with the cross-sectional design involving 45 saturated samples. Data analysis used was chi-square test. The results showed that factors related to the performance of tuberculosis programs officers were knowledge (p = 0.022), training (p = 0.001), double duty (p = 0.014), screening for active TB suspect (p = 0.038), motivation (0.040) and attitude (p = 0.011). While there was no correlation between years of service (p = 0.152), facilities (p = 0.154), and incentive (p = 0.121).
Spatial-temporal variations of Köppen climate types in China

The classification of Köppen climate type has been widely used to identify regional climate change. This study investigated the changes of Köppen climate type over China during 1964 2015. On average, the arid climate was located in the northwest, tropical climate, temperate climate, and cold climate were distributed in the east from south to north along the latitude, and polar climate was concentrated on the Tibetan Plateau. Comparing Köppen climate types during 1964 1989 and 1990 2015, we found that cold climate with dry winter was replaced by a cold steppe climate in Northeast China and North China, warm summer was replaced by cold summer in Northeast China and the Tibetan Plateau, tundra climate was substituted by cold climate in the Tibetan Plateau, and cold climate was replaced by temperate climate in Central China and East China. Our results showed that the arid climate expanded eastward and southward, which may have resulted from a decrease in precipitation. Owing to the increase in temperature, the climate zones moved northward. This study provides valuable insights for government decision-makers in formulating crop planting systems, water resource management, and land use planning. Article history: Received 21 June 2021 Revised 15 September 2021 Accepted 18 October 2021
Revisiting an information infrastructure for development: exploring the cost of information in Pacific Island development

Information and communication technologies (ICTs) have been associated with development programmes for many decades. A theme of Lamberton’s commentary on such initiatives focuses on the lack of attention given to information as a key factor in the development process. His writing reiterated a number of arguments that he saw as being fundamental to the application of an information perspective to development issues. With a focus on agricultural development policy in the Pacific region, the paper uses a number of propositions that are suggested by Lamberton to analyse contemporary development initiatives in Pacific Island agriculture. These propositions focus attention on information costs that can influence the transfer of information and development of knowledge. Document analysis of selected published sources from a Pacific Island development programme are reviewed to illustrate the significance of information costs for development processes. The paper addresses the contention between traditional authority and knowledge and its significance for development.
Land Acquisition, Labor Allocation, and Income Growth of Farm Households

ABSTRACT This article investigates how land acquisition during urbanization affects labor allocation decisions of farm households in China. We develop an agricultural household model by including land acquisition to examine its impacts on nonfarm labor participation and income. Two data sets (self-designed household surveys at Xingwen County in 2012 and the China Household Finance Survey (CHFS) data covering 29 provinces in 2013) are adopted for empirical analysis. The results find that land reduction has significantly positive effects on the probability and the share of family nonfarm labor allocation from both data sets. We also find that land acquisition increases the household income of the land acquisition group in CHFS data.