Miracle-dz/UniFAR-FTUs huggingface dataset:
Lesson Plans as a Mirror: A Close Look at Planning of Work with Underachieving Students

The study investigates mathematics lesson plans that teachers produced for re-teaching purposes. Its goal is to determine which aspects of mathematics-content knowledge are expressed in lesson plans on the topic of fractions prepared by primary math teachers and intended for underachieving students, and to see how these aspects are manifested. The data were gathered in an analysis of forty-nine lesson plans that the participating teachers prepared. The data were analysed in two phases: (1) a category analysis of the plans and (2) a statistical analysis of the data obtained, via cluster analysis and ANOVA tests. The findings point to four types of teachers in terms of their mathematical knowledge: (1) those whose knowledge is faulty; (2) those who have incomplete or scanty understanding of math but know how to phrase a mathematical idea correctly; (3) those who understand mathematical content well but are not strict about correctly describing the “mathematics” that they teach in the lesson; and (4) those thoroughly versed in mathematics, from whose lesson plans one may infer both correct wording of the mathematical idea and consistently correct use of mathematical concepts and principles. Despite the differences in their content knowledge, teachers of all four types planned to teach their students at a procedural level while attempting to impart conceptual knowledge—most likely because they expect little of their underachieving students. Practical recommendations derived from the study are offered.
Enabling and empowering women in leadership in South African universities – Assessing needs and designing a response

Gender equity and women’s access to senior leadership and management positions in universities are a major challenge not only in South Africa but on the African continent, too. For women to take up senior leadership roles more potently, it is essential that they not only cope with and compete in patriarchal systems but more so, are equipped to change patriarchal hegemony and shift the management discourse and culture to a pluralistic leadership culture where transformational leadership becomes the norm and praxis. This paper examines a needs analysis for leadership and professional development competencies of women in senior leadership positions in South African higher education and presents the discussion on these findings, based on the data collected from 74 participants. The conclusion reveals the participants’ enthusiasm for personal leadership development as well as their readiness for impacting their leadership contexts. These findings, in turn, shape the content development of the Women in Leadership programme, designed by Higher Education Leadership and Management under the auspices of Universities South Africa.
Late Afternoon Seasonal Transition to Dissolution in a Coral Reef: An Early Warning of a Net Dissolving Ecosystem?

There are concerns that reefs will transition from net calcifying to net dissolving in the near future due to decreasing calcification and increasing dissolution rates. Here, we present in situ rates of net ecosystem calcification (NEC) and net ecosystem production (NEP) on a coral reef flat using a slack‐water approach. Up until dusk, the reef was net calcifying in most months but shifted to net dissolution in austral summer, coinciding with high respiration rates and a lower aragonite saturation state (Ωarag). The estimated sediment contribution to NEC ranged from 8% to 21% during the day and 45% to 78% at night, indicating that high rates of sediment dissolution may cause the transition to reef dissolution. This late afternoon seasonal transition to negative NEC may be an early warning sign of the reef shifting to a net dissolving state and may be occurring on other reefs.
Wideband Rectangular Waveguide to Substrate Integrated Waveguide (SIW) E-Plane T-Junction

A broadband rectangular waveguide to substrate integrated waveguide power divider for hybrid beam forming networks is presented. Rectangular waveguide symmetric E-plane irises are used to realize a multi-section matching network. A hybrid circuit and full-wave design procedure are described and adopted to synthesize three matching networks with one, two, and three irises, progressively increasing the bandwidth and exceeding the state of the art in the last two cases. Three proof-of-concept prototypes are manufactured and tested to validate the design procedure. Good agreement between simulated and measured performance confirms the validity of the proposed solution.
Evaluation of antibacterial activity and cytotoxic effects of green AgNPs against Breast Cancer Cells (MCF 7)

The present work reports a facile, rapid and an eco-friendly method for the synthesis of silver nanoparticles using Luffa acutangula (L. acutangula) leaves extract and their antibacterial and cytotoxic effects. The synthesized silver nanoparticles (AgNPs) were characterized by UV-Visible spectroscopy (UVVis), Fourier transform infrared spectroscopy (FT-IR) and X-ray diffraction analysis (XRD). Additionally the topography, morphology and the elemental composition of the particles were determined by Scanning Electron Microscopy (SEM) and Energy dispersive spectrophotometric (EDS) technique and the measured particle sizes from SEM micrographs are in the range of 12.5 to 24.5nm. The in-vitro antimicrobial activity of the synthesized nanoparticles was high against gram positive Staphylococcus aureus and moderate against gram negative Escherichia coli and Pseudomonas aeruginosa strains. Further, the cytotoxic effects of synthesized AgNPs were evaluated against Human Breast Cancer (MCF 7) cell line.
Isolation and Screening of Beneficial Endophytic Bacteria from Rice Grown under Coastal Saline Soils

Rice (Oryza sativa) is one of the major staple food crops consumed globally and its production is highly affected by salinity. In India, nearly 9.38 million ha area is occupied by salt -affected soils out of which 5.5 million ha are saline (including coastal regions). Better management practices are needed to improve the productivity and quality of such low productive salty soils. Under the saline conditions the growth and development of rice are reduced because of the salinityinduced changes in metabolism and acidification of apoplast which affects the turgor pressure of cell (Munns and Tester, 2008). In plants, the effect of salinity leading to inhibition of germination, difficulties in crop area establishment, leaf area development, decrease in dry matter production, delay in seed set and also even sterility can occur (Khatun and Flowers., 1995).
Parental mediation: Its impact on contexts of emotional behavioral adjustment among children in Kota Kinabalu district

Abstract The current study aimed to examine the impact of parental mediation on the contexts of emotional behavioral adjustment among 9-to-11-year-old children in Kota Kinabalu, Sabah. A random sampling of 175 parents was recruited to participate in the study using the Google forms online questionnaire. Multiple regression analysis indicated the significance in monitoring influence on the context of conduct problems, F(1, 173) = 4.666; hyperactivity, F(1, 173) = 13.203; prosocial behavior, F(2, 172) = 13.542; p < . 05, with respect to the subscales of Strengths and Difficulties Questionnaire (SDQ). While active co-use influences on the peer problem F(1, 173) = 7.496; and prosocial behavior F(2, 172) = 13.542, p < . 05. Interaction and technical restriction, however, did not show any significant influence. Findings thus suggested that monitoring and active co-use have a positive effect on the prosocial behavior while diminishing the other subscales of SDQ.
Recurrent and isolated central nervous system blast crisis in chronic myelogenous leukemia

Chronic myelogenous leukemia (CML) is the commonest myeloproliferative neoplasm encountered and it is characterized by the hallmark translocation t(9;22) or BCR-ABL1 transcripts. The natural history of the disease has three phases: the chronic phase (CP) followed by progressive transformation to the accelerated or blast phase. The defining criteria for the blast phase are the presence of at least 20% blasts in peripheral blood or bone marrow or extramedullary proliferation of blasts [1]. Infiltration of the central nervous system as the sole site of extramedullary blast crisis is exceptional and deserves attention.
Institutional entrepreneurship and permaculture: A practice theory perspective

Permaculture is a growing but little researched phenomenon emphasising care for the environment, equity, fair treatment of people and working with—and not against—nature. It thus represents a potential alternative to business as usual, capable of addressing fundamental challenges posed by human‐made climate change. The paper examines a previously ignored site of entrepreneurship by taking a practice perspective, exploring connections between the practice and growth of permaculture and institutional entrepreneurship. It assesses practice‐related and institutional factors affecting the start‐up and operation of permaculture enterprises in the United Kingdom. The study maps and surveys UK Permaculture Association members who have started up their own business and reports on qualitative data from personal interviews with twenty of them. Data analysis employs NVivo software and involves thematic analysis pertaining to the practice, institutional biographies and institutional portfolios of permaculture entrepreneurs. The findings show the importance of permaculture activists' institutional biographies and institutional portfolios to the start‐up and operation of permaculture enterprises and for shaping permaculture‐related practice. The contribution of the paper lies in how it balances attention to individual agency with subfield‐specific, organisational field and macrosocial factors in understanding ‘beyond profit’ entrepreneurship.
Estabilización práctica de un helicóptero de 3-GDL empleando una ley de control con retardo

Comúnmente, en el diseño y sintonización de leyes de control para aplicaciones fuera del ámbito académico, se suelen emplear criterios relacionados con la teorı́a de Lyapunov. Sin embargo, en algunas ocasiones este tipo de criterios no son los más convenientes, debido principalmente a la existencia de algunas dinámicas no modeladas de los sistemas bajo estudio. En este artı́culo se presenta un análisis riguroso para determinar la estabilización práctica de una clase de sistemas no lineales con dinámicas inciertas empleando funcionales de Lyapunov-Krasovskii que incluyen términos exponenciales. Derivado de este análisis, se establecen condiciones suficientes de estabilidad práctica dadas por desigualdades lineales matriciales (LMIs, por sus siglas en inglés), las cuales se emplean para el diseño y sintonización de leyes de control que cuentan con una acción retardada y una acción integral, con las cuales, se busca la atenuación del ruido y la reducción del error en estado estacionario. Para ilustrar la efectividad y aplicabilidad de los resultados obtenidos, se presentan simulaciones y experimentos sobre un helicóptero de tres grados de libertad (3-GDL).
Differential Impact of Fluid Shear Stress and YAP/TAZ on BMP/TGF-β Induced Osteogenic Target Genes.

Bone is a remarkable dynamic structure, which integrates mechanical and biochemical signaling inputs. Interstitial fluid in the intramedullary space transmits signals derived from compression-induced fluid shear stress (FSS) to stimulate osteoblasts for bone formation. Using a flow system and human osteoblasts, this study demonstrates how BMP/TGF-β signaling integrates stimuli derived from FSS and YAP/TAZ and confirms these findings by transcriptome analyses. Here, FSS positively affects the phosphorylation of both SMAD1/5 and SMAD2/3, the respective BMP- and TGFβ-R-SMADs. Increase in phosphorylated SMAD1/5 levels affects distinct target genes, which are susceptible to low levels of phosphorylated SMADs (such as ID1-3) or dependent on high levels of phosphorylated SMAD1/5 (NOG, noggin). Thus, FSS lowers the threshold for genes dependent on high levels of phosphorylated SMAD1/5 when less BMP is available. While the impact of FSS on direct BMP target genes is independent of YAP/TAZ, FSS acts cooperatively with YAP/TAZ on TGF-β target genes, which are shared by both pathways (such as CTGF). As mechanical stimuli are key in bone regeneration, their crosstalk to biochemical signaling pathways such as BMP and TGF-β and YAP/TAZ acts on different levels, which allows now to think about new and more specified intervention strategies for age-related bone loss.
Nonoverlapping domain decomposition method with preconditioner from asymptotic analysis of steady flow in high contrast media

ABSTRACT We present a nonoverlapping domain decomposition method for steady flow in high contrast heterogeneous media modelled by an elliptic equation with coefficients that have very large amplitude variations on a small spatial scale. The linear system of equations resulting from matching the solution trace and the fluxes through the boundary of the subdomains is ill-conditioned, especially for fine meshes needed to capture the rapid variations of the solution. Our main contribution is to show with analysis and numerical simulations how to use an asymptotic approximation of the Dirichlet to Neumann map of the sub-domain problems to obtain a preconditioner for an efficient domain decomposition algorithm.
A Novel Data-Driven Modeling and Control Design Method for Autonomous Vehicles

This paper presents a novel modeling method for the control design of autonomous vehicle systems. The goal of the method is to provide a control-oriented model in a predefined Linear Parameter Varying (LPV) structure. The scheduling variables of the LPV model through machine-learning-based methods using a big dataset are selected. Moreover, the LPV model parameters through an optimization algorithm are computed, with which accurate fitting on the dataset is achieved. The proposed method is illustrated on the nonlinear modeling of the lateral vehicle dynamics. The resulting LPV-based vehicle model is used for the control design of path following functionality of autonomous vehicles. The effectiveness of the modeling and control design methods through comprehensive simulation examples based on a high-fidelity simulation software are illustrated.
Physiological and Hematological Responses of Pregnant Sapera Dairy Goats on Feeding and Drinking Limitation

| We conducted the study to evaluate the physiological and hematological responses of pregnant Sapera dairy goats on feeding and drinking limitation. Four pregnant Sapera dairy goats were used in a 4 x 4 Latin square design with four feed regimens: group A feeding was in the form of concentrate and elephant grass silage as much as 1400 gr/ day, group B was 1000 gr/day, group C was 700 gr/day, and group D was 500 gr/day. Drinking water was given only for 2 hours from the feeding schedule. The results showed that the physiological and hematological responses of the four groups were in normal condition despite experiencing feeding and drinking limitations. Physiological responses showed differences at several observation points, however pregnant Sapera dairy goat was able to restore thermal balance to the body with no difference in the hematological parameter in the four groups. This shows that the pregnant Sapera dairy goat had adaptive abilities even though it was subjected to feeding and drinking limitation.
Study on genetic variability and heritability in rice landraces (Oryza sativa. L.) under sodicity

Rice (Oryza sativa L.) is the major source of food for one-third of the global population and 70% of Indian population. Salt affected areas in India were found to be 6.7 mha. Out of which 2.9 mha areas were saline and 3.7 mha area were sodic (Mandal et al., 2011). In India, rice is grown in 43.79 million ha area with production and productivity of 116.42 million tonnes and 2.7 tonnes/ha. Tamil Nadu accounts for 6.45 million tonnes of production and 3.7 tonnes/ha and productivity of rice in an area of 1.72 mha (Agricultural statistics, 2019)
Resource Optimization and Delay Guarantee Virtual Network Function Placement for Mapping SFC Requests in Cloud Networks

Since the advent of network function virtualization (NFV), cloud service providers (CSPs) can implement traditional dedicated network devices as software and flexibly instantiate network functions (NFs) on common off-the-shelf servers. NFV technology enables CSPs to deploy their NFs to a cloud data center in the form of virtual network functions (VNFs) without costly capital expenditures and operating expenses. However, it is an essential but intractable issue for CSPs to devise a suitable VNF placement scheme to optimize network resource consumption and improve network performance. In this article, we focus on the VNF placement problem for mapping users’ service function chain requests (SFCRs) in cloud networks. To enhance network resource utilization, we consider the fundamental resource overheads and implementation method of VNFs. The VNF placement problem is formulated as an integer linear programming model with the aim of minimizing the total network resource consumption while guaranteeing the delay requirements of SFCRs. We devise a two-phase optimization solution (TPOS) to solve the problem. TPOS contains a mapping phase to map SFCRs on servers and an adjustment phase to optimize the placement of VNFs and VNF requests. Evaluation results demonstrate that TPOS can derive near-optimal server resource consumption and significantly enhance network resource utilization. TPOS can guarantee the delay requirements of SFCRs and outperform contrastive schemes in terms of activated servers, SFCR acceptance ratio, and average VNF utilization.
Climatic Sensitivity Profile of Abies Species – A Key to Their Future Role in the Adaptive Silviculture of Central-Southeast Europe

Research Highlights: Adult grand fir displayed significantly faster growth and better resilience than native silver fir, tolerating the drastic reduction of annual rainfall at the provenance test. The reason is its adaptation to "Submediterranean-type” summer aridity at origin. When transferred to Central Europe, grand fir enjoys a substantial improvement of summer climate through higher rainfall, displaying its generally observed superiority. Background and Objectives: Published results of Frýdl and co-workers [1] were reanalyzed to assess resilience of fir species to summer drought stress. The primary aim was to detect the effects of transfer into changed climatic conditions, and less the within- and between-species adaptive differentiation shaped by past climates. Materials and Methods: Height growth of European and North American species was compared at adult age in three Czech provenance tests. Species profiles of climate sensitivity were estimated by comparing height response and climate transfer distance applying a Summer Aridity Index. Results: Silver fir showed relatively high sensitivity to summer aridity while the species A. cephalonica and A. borisii-regis were less sensitive but slower growing. Exposed to drastic climatic change, A. pinsapo and A. cilicica exhibited total mortality. The response of grand and noble fir provenances followed the pattern of sympatric Douglas fir. Grand fir surpassed native silver fir in growth and resilience. Conclusions: The sensitivity profile of fir species appears to be linked to adaptation to summer aridity at their origin, contrasting the recognition of rainfall in the wettest quarter as the best predictor. In the future, native silver fir will retreat from low-elevation, drought-exposed sites and will require silvicultural support. The introduction of Balkan firs may improve the stability of forest ecosystems. Grand fir may be considered for cautious introduction at higher elevations. When selecting provenances for future climate scenarios, the safeguarding of stability and resilience has first priority.
Unsupervised Domain Adaptation for Cloud Detection Based on Grouped Features Alignment and Entropy Minimization

Most convolutional neural network (CNN)-based cloud detection methods are built upon the supervised learning framework that requires a large number of pixel-level labels. However, it is expensive and time-consuming to manually annotate pixelwise labels for massive remote sensing images. To reduce the labeling cost, we propose an unsupervised domain adaptation (UDA) approach to generalize the model trained on labeled images of source satellite to unlabeled images of the target satellite. To effectively address the domain shift problem on cross-satellite images, we develop a novel UDA method based on grouped features alignment (GFA) and entropy minimization (EM) to extract domain-invariant representations to improve the cloud detection accuracy of cross-satellite images. The proposed UDA method is evaluated on “Landsat-<inline-formula> <tex-math notation="LaTeX">$8~\rightarrow $ </tex-math></inline-formula> ZY-3” and “GF-<inline-formula> <tex-math notation="LaTeX">$1\rightarrow $ </tex-math></inline-formula> ZY-3” domain adaptation tasks. Experimental results demonstrate the effectiveness of our method against existing state-of-the-art UDA approaches. The code of this paper has been made available online (<uri>https://github.com/nkszjx/grouped-features-alignment</uri>).
Performance Analysis of FDSOI based Gate Diffusion Input Logic Gates at 28nm Technology Node

In this paper, Fully Depleted Silicon on Insulator (FDSOI) MOSFET at 28nm channel length are simulated in COGENDA Visual TCAD tool. Buried Oxide layer (BOX) between channel and substrate in FDSOI improves the electric field inside the device. The device characteristics are compared in terms of threshold voltage, transconductance parameter, Ion/Ioff ratio and Short Channel Effects (SCEs). To implement VLSI circuits, Complementary Metal Oxide Semiconductor (CMOS) logic is a common choice. However, in the case of CMOS, the logic implementation requires a transistor count equal to twice the number of logic inputs. Therefore, the area is always an issue in the case of the CMOS logic family. To address this issue, Gate Diffusion Input (GDI) based logic has been investigated because it uses less number of transistors. Hence FDSOI MOSFET based GDI logic gates are proposed in this article. FDSOI MOSFET exhibits improved electrical characteristics which can reduce the power consumption considerably and help in expanding the battery life of devices while the GDI logic helps in designing the compact circuit for portable equipment.
A Visual Analytic System for Exploring Consumer Clusters

Consumer transactions analysis is a fundamental component for companies to build strong customer relationships and make good decisions. Visualization can help with such tasks. Existing visualization methods of transaction data analysis often focus on specific purposes, such as abnormal behavior detection and stock analysis. Most of current systems focus on analyzing timevarying transaction pattern and usually focus on analyze webscrape data. Few of them are used to analyze the shopping behavior of customer clusters in physical stores.In this study, we present a visualization system to facilitate the process of transaction data exploration. Our system focuses on functions of customer clustering and exploration of customer characteristics. A distribution view embedded in our system visually demonstrates consumer clustering generated by a dimensional reduction algorithm. The visual clusters allow analysts to explore the characteristics of customers in different clusters. In addition, the correlation hinting method provided by our system automatically highlights overlapping subsets of consumers.It can guide analysts to explore interesting customer clusters. In sum, our system helps analysts find customers with similar behaviors, observe characteristics of interesting subsets, and determine the correlation among data attributes. We validate our system with the consumer transaction data from our collaborating department store. Use cases are provided to show the usability of the system.