Miracle-dz/UniFAR-FTUs huggingface dataset:
The divergent logics of urban regeneration in Israel: A neoliberal toolkit and national rationales

In recent years, urban regeneration policy in Israel has relied largely on market-based mechanisms to deliver its goals, seemingly in keeping with neoliberal trends. Whereas, in previous decades, the construction and renovation of housing was facilitated primarily by state-run projects, current urban regeneration policy relies heavily on private actors – developers and homeowners – motivated by profit and the allocation of building rights. In this article, we argue that while this policy appears to be consistent with neoliberal trends, the Israeli government, as well as the public, in fact continue to view urban regeneration as a project of national significance, deserving of public funding if market forces should prove inadequate. We describe the unique characteristics of urban regeneration policy in Israel, arguing that they derive from ‘moral economy’ logic as well as geopolitical considerations such as national security and commitment to the periphery. We make this argument by examining urban regeneration in the country’s geographical and economic ‘periphery’, where the state is expected to finance and incentivise regeneration in the absence of market incentives. We conclude that even in a supposedly heightened neoliberal era, Israel’s regeneration policy continues to be centralised and driven by national objectives and centre–periphery relations that reproduce the country’s path-dependent development trajectory.
A Process Model of Leveraging Survival Crisis Towards Building Innovation as Core Competence: Theorization from the Journey of a Textile Firm

Although the extant research in entrepreneurial innovation shows how organizational challenges could enact such innovations, the relationship between organizational challenges and organizational innovation under the small and medium enterprise (SME) context requires attention. Especially considering that SMEs face supply chain challenges, we need to know whether such challenges consistently enact supply chain innovations. Moreover, although those innovations can address the immediate SME challenges, extant research does not capture the life cycle of the innovations efficiently. To find an answer to this theoretical quest, we conduct participatory case research at Saha Textile, India. The founder of Saha Textile started his journey as a small garment shop owner in a Bazar. Within two decades, Saha Textile became one of the most prominent vertically integrated organizations in the Indian textile sector. Our reflexive process study reveals that the organization faced multiple survival threats throughout its journey. The uniqueness of the organizational crisis enacted sensemaking in the organization. The organization looked at unusual and unconventional resources within its access and creatively converted those into valuable resources to address the challenges. If successful with the creative attempts in addressing the pressing challenges—the organization further strengthened those resources into core competence. Over time, the organizational learning in converting crisis to core competencies through creative utilization of resources became rational heuristics and acted as a (higher-order) dynamic capability. Our inductive theorization makes a significant academic contribution as it proposes a generalizable dynamic capability process model of converting crisis into innovation and capitalizing such innovations as a core competence. Our research points out the possibility of standardizing and leveraging innovations-as-crisis-responses as core competence towards a sustainable competitive advantage for practice.
Generator Design Considering Mover Action to Improve Energy Conversion Efficiency in a Free-Piston Engine Generator

In a free-piston engine generator (FPEG), the power of the engine can be directly regenerated by linear generators without a crank. The mover motion of this system is interrelated with engine and power generation efficiencies due to the direct connection between the mover of the generator and the piston of the engine. The generator should be designed to improve the overall energy conversion efficiency. The dimensions and mass of the mover limit its operating stroke and drive frequency. Herein, we propose a method for designing linear generators and constructing FPEG systems, considering the mover operation to improve engine efficiency. We evaluated the effect of mover operation on the engine and generation efficiencies using thermal and electromagnetic field analysis software. The proposed design method improves the overall energy conversion efficiency compared with a generator that considers only the maximization of generation efficiency. Setting the mover operation for higher engine efficiency and designing a linear generator to realize the operation can effectively improve the energy conversion efficiency of FPEGs.
Ameliorasi Rizosfer Kedelai Menggunakan Jerami, Abu Sekam, dan Dolomit

Successful saturated soil culture practices in tidal land to increase soybean production needs to be supported by amelioration. The rhizosphere is an area where the intensive reciprocal relationship between plants, soil, and soil microorganisms occured. However, the effect of amelioration through the rhizosphere is still unclear. This research aimed to study the effect of amelioration using rice straw, rice husk ash, and dolomite on the rhizosphere on the growth and production of soybean. The research was conducted in tidal swamp land type B overflow from May to August 2019. The experimental design used was a split-split plot design with rice straw, rice husk ash, and dolomite as the main plot, subplots, and sub subplots, respectively. Rice straw was applied by embedding in the soil, while rice husk ash and dolomite were applied to the rhizosphere during planting. The observations included plant biomass dry weight, leaf nutrient concentration of P, Fe, and Al, number of filled pods, and soybean productivity. The application of rice husk ash with rice straw or with dolomite increased soybean growth and production. The combination of 400 kg ha-1 of rice husk ash and 4 ton ha-1 of rice straw yielded the highest productivity with the value of 2.94 ton ha-1. Keywords: abiotic stresses, rhizosphere, saturated soil culture, tidal land
Improving the Energy Efficiency of Buildings Based on Fluid Dynamics Models: A Critical Review

The built environment is the global sector with the greatest energy use and greenhouse gas emissions. As a result, building energy savings can make a major contribution to tackling the current energy and climate change crises. Fluid dynamics models have long supported the understanding and optimization of building energy systems and have been responsible for many important technological breakthroughs. As Covid-19 is continuing to spread around the world, fluid dynamics models are proving to be more essential than ever for exploring airborne transmission of the coronavirus indoors in order to develop energy-efficient and healthy ventilation actions against Covid-19 risks. The purpose of this paper is to review the most important and influential fluid dynamics models that have contributed to improving building energy efficiency. A detailed, yet understandable description of each model’s background, physical setup, and equations is provided. The main ingredients, theoretical interpretations, assumptions, application ranges, and robustness of the models are discussed. Models are reviewed with comprehensive, although not exhaustive, publications in the literature. The review concludes by outlining open questions and future perspectives of simulation models in building energy research.
Sintesis dan Evaluasi Antimalaria In Vitro Turunan Kinin Terhadap Plasmodium falciparum

Nowadays kinin is the most effective antimalarial drug and its used as an alternative in malaria treatment. However, toxicity of quinine restrict its use as an antimalarial drug. Lipophilicity and long half-life (t½) of quinine that reach 10-20 hours are responsible for its toxicity. The aim of this research is to obtain more polar quinine derivatives by means of hydrogen peroxide reactions to reduce the toxicity. The reactions using hydrogen peroxyde is performed analogously to the procedures reported in the literature. Extract of pure anhydrous kinin is purified in coloumn chromatography followed by structure elucidation. Synthetic product is tested in vitro against Plasmodium falciparum. The characterization of reaction products is performed with proton (1H) and carbon 13 (13C) nuclear magnetic resonance (NMR) spectroscopy. It showed that the reaction using reagents led to epoxidation of vinyl substituents of chinuclidine ring with 61,08% yields. Antimalarial test against Plasmodium falciparum obtained 1.250-2.500 μg/mL of IC50 value. The IC50 values indicated that the synthesis products were not potential for malaria treatment.
Does Leadership Effectiveness Matter for Indonesia Vocational Teacher Performance? The Mediating Role of Work Motivation

Enhancing teacher performance is a global challenge and understanding managerial sides, and motivation can be used to deal with this issue. The purpose of this study aimed at examining the impact of leadership effectiveness and teacher performance in vocational school, as well as investigating the role of work motivation. A quantitative method was adopted to improve understanding of this phenomenon. The participants of this study were recruited from the vocational school teachers in East Java by distributing online questionnaires employing WhatsApp. The findings of this study showed that effective leadership positively influenced both work motivation and teacher performance. Indeed, work motivation can explain the relationship between effective leadership and vocational teacher performance. Based on the results, it is recommended to the education office, school principals, vocational teachers to pay more attention to the effectiveness of leadership, and work motivation to improve teacher performance. This study recommends that school principals and educational policymakers pay attention to the matters of leadership and work motivation as the essential factor in driving teacher performance.
Binarized Neural Network for Edge Intelligence of Sensor-Based Human Activity Recognition

A wide diversity of sensors has been applied in human activity recognition. These sensors generate enormous amounts of data during human activity monitoring. Server-based computing and cloud computing require to upload all sensor data to servers/clouds for data processing and analysis. The long-distance data traveling between sensors and servers increases the costs of bandwidth and latency. However, human activity recognition has a high demand for real-time processing. Recently, edge computing is surging to solve this problem by moving computation and data storage closer to the sensors, rather than relying on a central server/cloud. Most human activity recognition is conducted by artificial intelligence, which requires intensive computation and high power consumption. Edge servers are usually designed for low power, low cost, and low computation. They do not support computation-intensive deep learning algorithms or result in high latency. Fortunately, the development of binarized neural networks enables edge intelligence, which supports AI running at the network edge for real-time applications. In this paper, we implement a binarized neural network (<italic>BinaryDilatedDenseNet</italic>) to enable low-latency and low-memory human activity recognition at the network edge. We applied the BinaryDilatedDenseNet on three sensor-based human activity recognition datasets and evaluated it with four metrics. In comparison, the BinaryDilatedDenseNet outperforms the related work and other three binarized neural networks in overall and saves <inline-formula><tex-math notation="LaTeX">$10\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>10</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="luo-ieq1-3109940.gif"/></alternatives></inline-formula> memory and <inline-formula><tex-math notation="LaTeX">$4.5\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>4</mml:mn><mml:mo>. </mml:mo><mml:mn>5</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="luo-ieq2-3109940.gif"/></alternatives></inline-formula>–<inline-formula><tex-math notation="LaTeX">$8\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>8</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="luo-ieq3-3109940.gif"/></alternatives></inline-formula> inference time compared to the FPDilatedDenseNet(the full-precision version of the BinaryDilatedDenseNet).
Effects of Algal Utilization of Dissolved Organic Phosphorus by Microcystis Aeruginosa on its Adaptation Capability to Ambient Ultraviolet Radiation

Phosphorus (P) plays an important role in eutrophication and algal adaptation to environmental stresses; therefore, a better understanding of the impact of P is essential to control cyanobacterial bloom. In this study, Microcystis aeruginosa was treated with 5-h of ambient irradiation in the culture medium with different availability of dissolved organic P (DOP) and dissolved organic matter (DOM), to explore algal responses. Compared to photosynthetically active radiation (PAR), ambient UV-A and UV-B radiation exerted oxidative stresses and had inhibitive effects on the growth and photosynthesis of M. aeruginosa in DOP-rich medium. However, M. aeruginosa had a strong adaptation capability and the negative effects of UV radiation were eliminated with DOM addition (5 mg L− 1 humic acid [HA]). Combining dissolved inorganic P (DIP) and DOP contents in the culture medium, adaptation of M. aeruginosa to UV radiation in the DOP-rich waters could be mainly achieved through the hydrolysis of DOP and metabolism of DIP, and the DOP utilization behaviors of M. aeruginosa greatly affected its UV adaptation capability. In DOP-rich medium without DOM, APase inactivation after UV radiation negatively affected DOP utilization by M. aeruginosa, and algal P demand for UV adaptation could not be fully met. DOM could act as an antioxidant and greatly decreased APase inactivation after UV radiation, when M. aeruginosa utilized DOP faster to produce more DIP and to increase algal carotenoid, phycocyanin production and its superoxide dismutase (SOD) activity in the DOP-rich medium, resulting in a strong UV adaptation capability. Consequently, M. aeruginosa showed the lowest adaptation capability to UV radiation in the DOP-free medium. Overall, our findings indicated the close relationship of algal DOP utilization and its adaptation to ambient UV radiation of typical cyanobacteria in DIP-limited and DOP-enriched natural waters.
Development of Imaging and Liquid Biomarker Analysis for Breast Cancer Screening: A Review

Breast cancer screening tests could reduce the mortality rates for breast cancer patients. Screening and detection are the keystone of cancer prevention and may significantly minimize the death rates in breast cancer patients for long-term. In this review, we would like to present a comprehensive summary from recent publications of the current development for breast cancer screening, classification of breast cancer based on pathological diagnosis, as well as development of breast cancer detection. The sources of the articles were collected from research published in the PubMed, NCBI databases and manual searches without time restriction based on review of the title, abstract and full review of the articles, using the keywords "breast cancer", "diagnostic", "screening", "imaging", "biomarker" and the combination of these terms. The criteria excluded in selecting references were articles that are not written in English, newspapers, and posters. Of the 146 articles that were selected, there were 103 articles included. Breast cancer screening consists of imaging and pathological assessment such as invasive biopsies of tumor tissue and measurement of biomarkers. The recent development of breast cancer screening utilizing different models and methods like biomarkers were being reviewed. For imaging methods, there are mammography, digital breast tomosynthesis (3D mammography), magnetic resonance imaging (MRI), and ultrasonography. For pathological assessment, there are primary biomarker analysis for breast cancer (estrogen receptor, progesterone receptor, HER2, KI67 index) and liquid biomarker analysis from blood or saliva samples. Additionally, there are some diagnostic kit models for breast cancer screening that were in use such as NanoString nCounter®, MammaTyper®, CellSearch System™, and AdnaTest BreastCancer™. Each of these methods has its own limitations. Therefore, the development of breast cancer models should be more sensitive, reliable, approachable and less harmful.
Time-Frequency Representation Learning with Graph Convolutional Network for Dialogue-Level Speech Emotion Recognition

With the development of speech emotion recognition (SER), dialogue-level SER (DSER) is more aligned with actual scenarios. In this paper, we propose a DSER approach that includes two stages of representation learning: intra-utterance representation learning and inter-utterance representation learning. In the intra-utterance representation learning stage, traditional convolutional neural network (CNN) has demonstrated great success. However, the basic design of a CNN restricts its ability to model the local and global information in the spectrogram. Therefore, we propose a novel local-global representation learning method for the intra-utterance stage. The local information is learned by a time-frequency convolutional neural network (TFCNN), which we published previously. Here, we propose a time-frequency capsule neural network (TFCap) to model global information that can extract more stable global time-frequency information directly from spectrograms. In the inter-utterance stage, a graph convolutional network (GCN) is introduced to explore the relations between utterances in a dialog. Our proposed methods were evaluated on the IEMOCAP database. The proposed time-frequency based method in the intra-utterance stage achieves an absolute increase of 9.35% compared to CNN. By integrating GCN in the inter-utterance stage, the proposed approach achieves an absolute increase of 4.05 % compared to the model in the previous stage.
Estimating the Methane Potential of Energy Crops: An Overview on Types of Data Sources and Their Limitations

As the anaerobic digestion of energy crops and crop residues becomes more widely applied for bioenergy production, planners and operators of biogas plants, and farmers who consider growing such crops, have a need for information on potential biogas and methane yields. A rich body of literature reports methane yields for a variety of such materials. These data have been obtained with different testing methods. This work elaborates an overview on the types of data source available and the methods that are commonly applied to determine the methane yield of an agricultural biomass, with a focus on European crops. Limitations regarding the transferability and generalisation of data are explored, and crop methane values presented across the literature are compared. Large variations were found for reported values, which can only partially be explained by the methods applied. Most notably, the intra-crop variation of methane yield (reported values for a single crop type) was higher than the inter-crop variation (variation between different crops). The pronounced differences in reported methane yields indicate that relying on results from individual assays of candidate materials is a high-risk approach for planning biogas operations, and the ranges of values such as those presented here are essential to provide a robust basis for estimation.
An RNAi screen for genes that affect nuclear morphology in Caenorhabditis elegans reveals the involvement of unexpected processes

Aberration in nuclear morphology is one of the hallmarks of cellular transformation. However, the processes that, when mis-regulated, result aberrant nuclear morphology are poorly understood. In this study we carried out a systematic, high-throughput RNAi screen for genes that affect nuclear morphology in Caenorhabditis elegans embryos. The screen employed over 1700 RNAi constructs against genes required for embryonic viability. Nuclei of early embryos are typically spherical and their NPCs are evenly distributed. The screen was performed on early embryos expressing a fluorescently tagged component of the nuclear pore complex (NPC), allowing visualization of nuclear shape as well as the distribution of NPCs around the nuclear envelope. Our screen uncovered 182 genes whose down-regulation resulted in one or more abnormal nuclear phenotypes, including multiple nuclei, micronuclei, abnormal nuclear shape, anaphase bridges and abnormal NPC distribution. Many of these genes fall into common functional groups, including some that were not previously known to affect nuclear morphology, such as genes involved in mitochondrial function, the vacuolar ATPase and the CCT chaperonin complex. The results of this screen add to our growing knowledge of processes that affect nuclear morphology and that may be altered in cancer cells that exhibit abnormal nuclear shape.
Changes in interest group access in times of crisis: no pain, no (lobby) gain

ABSTRACT The outbreak of Covid-19 provoked a massive shock for political institutions and societal groups. A crucial question is how such an external event affects the balance of access to political gatekeepers. In particular: Are organizations, which are highly affected by the crisis, able to increase their political voice? To address this, we focus on changes in lobbying access to key venues of public policy: government, parliament, the bureaucracy, and the media across 10 European democracies. Based on novel survey data, we assess changes in access shortly after the outbreak of Covid-19. Our findings show that affectedness is an important driver of changes in access to all venues. We interpret this as good news for the functioning of European systems of interest representation, and the ability of gatekeepers to open their doors to affected groups. However, we also show that the effect of affectedness varies considerably for economic and non-economic interests.
Effect of Mooring Lines on the Hydroelastic Response of a Floating Flexible Plate Using the BIEM Approach

A boundary integral equation method (BIEM) model for the problem of surface wave interaction with a moored finite floating flexible plate is presented. The BIEM solution is obtained by employing the free surface Greens function and Green’s theorem, and the expressions for the plate deflection, reflection, and transmission coefficients are derived from the integro-differential equation. Furthermore, the shallow water approximation model and its solution is obtained based on the matching technique in a direct manner. The accuracy of the present BIEM code is checked by comparing the results of deflection amplitude, reflection, and transmission coefficients with existing published results and experimental datasets as well as the shallow water approximation model. The hydroelastic response of the moored floating flexible plate is studied by analyzing the effects of the mooring stiffness, incidence angle, and flexural rigidity on the deflection amplitude, plate deformations, reflection, and transmission coefficients. The present analysis may be helpful in understanding the different physical parameters to model a wave energy conversion device with mooring systems over BIEM formulations.