Miracle-dz/UniFAR-FTUs huggingface dataset:
Design of a Probe-Fed H-Shaped Microstrip Antenna for Circular Polarization

A simple design of a probe-feed microstrip antenna with circular polarization (CP) radiation is presented. By embedding dual slits in a square microstrip and adjusting the sizes of the slits, an H-shaped microstrip antenna with two near-degenerate orthogonal modes for CP radiation can be achieved. This design provides a wide CP bandwidth and relaxed fabrication tolerances. Details of the antenna design are described, and theoretical and experimental results of the CP performance are presented.
OPTICAL DEFLECTION OF MOLECULES

When intense light interacts with a molecule it induces a force proportional to the gradient of the Stark shift. We use this nonresonant force to deﬂect I 2 and CS 2 molecules. We trace the direction of molecules in a molecular beam, showing that the molecules that pass near the center of a 1.06- m m or 10.6- m m laser beam will focus. We predict that Stark shifts on the order of 50 meV can be obtained for all small molecules and atoms while maintaining ionization rates below 10 6 s 2 1 . Among the devices that can be based on the nonresonant Stark shift are molecular accelerators and molecular quantum wires. @ S1050-2947 ~ 98 ! 01503-0 # s ! : 42.50. Vk, 33.80. Ps,
A Collective Description of Electron Interactions. I. Magnetic Interactions

A new approach to the treatment of the interactions in a collection of electrons is developed, which we call the collective description. The collective description is based on the organized behavior produced by the interactions in an electron gas of high density; this organized behavior results in oscillations of the system as a whole, the so-called "plasma oscillations. " The collective description, in contrast to the usual individual particle description, describes in a natural way the long-range correlations in electron positions brought about by their mutual interaction. In this paper we confine our attention to the magnetic interactions between the electrons; the coulomb interactions will be discussed in a subsequent paper. The transition from the usual single-particle description to the collective description of the electron motion in terms of organized oscillations is obtained by a suitable canonical transformation. The complete hamiltonian for a collection of charges interacting with the transverse electromagnetic field is re-expressed as a sum of three terms. One involves the collective field coordinates and expresses the degree of excitation of organized oscillations. The others represent the kinetic energy of the electrons and the residual particle interaction, which is not describable in terms of the organized oscillations, and corresponds to a screened interparticle force of short range. Both a classical and a quantum-mechanical treatment are given, and the criteria for the validity of the collective description are discussed.
Mathematical Modeling of Leukemia Chemotherapy in Bone Marrow

Acute Lymphoblastic Leukemia (ALL) accounts for the 80% of leukemias when coming down to pediatric ages. Survival of these patients has increased by a considerable amount in recent years. However, around 15−20% of treatments are unsuccessful. For this reason, it is definitely required to come up with new strategies to study and select which patients are at higher risk of relapse. Thus the importance to monitor the amount of leukemic cells to predict relapses in the first treatment phase. In this work we develop a mathematical model describing the behavior of ALL, examining the evolution of a leukemic clone when treatment is applied. In the study of this model it can be observed how the risk of relapse is connected with the response in the first treatment phase. This model is able to simulate cell dynamics without treatment, representing a virtual patient bone marrow behavior. Furthermore, several parameters are related to treatment dynamics, therefore proposing a basis for future works regarding childhood ALL survival improvement.
New multilayer design for ASTRO-H/hard x-ray telescope and missions beyond

Japan's sixth X-ray satellite missions, ASTRO-H, features two hard X-ray telescopes with depth-graded, multilayer reflectors. Our laboratory has advanced the technology for multilayer reflectors through development of a balloon-borne experiment, InFOCuS. While its base model for the multilayer design (with the minimum incident angle of 0.11 degrees and 8m focal length) is adequate for the ASTRO-H mission, we opt to improve it further so that better performance can be derived with the minimum incident angle of 0.07 degrees and 12m focal length. The improved design has resulted in the reduction of layers from 28 to 10-21 layers per reflector while gaining higher reflectivity by 3-5% at 40-70 keV. A multilayer optics will be used in ATHENA. ATHENA's principal design requires its energy bandpass of 0.1-20 keV with the minimum incident angle of 0.31 degrees and 12m focal length. With the narrower bandpass and the larger incident angles, it necessitates following changes in the multilayer design: adjustment of top Pt layer thickness and a total number of top layers to boost reflectivity (especially in the lower energy band), and refinement of Pt/C-layer spacing and depth-graded period below the third layer to bunch up the Bragg peaks tightly in the required hard X-ray band. In this presentation, we discuss the key parameters for ATHENA's multilayers to achieve a larger effective area at 10-20 keV.
Shodagor women cooperate across domains of work and childcare to solve an adaptive problem

Across human societies, women's economic production and their contributions to childcare are critical in supporting reproductive fitness for themselves, their spouses and children. Yet, the necessity of performing both work and childcare tasks presents women with an adaptive problem in which they must determine how best to allocate their time and energy between these tasks. Women often use cooperative relationships with alloparents to solve this problem, but whether or not women cooperate across different domains (e.g. work and childcare) to access alloparents remains relatively under-explored. Using social network data collected with Shodagor households in Bangladesh, we show that women who need childcare help in order to work draw on cooperative work partners as potential alloparents, and that all women rely heavily on kin, but not reciprocal cooperation for childcare help. These results indicate that Shodagor women strategize to create work and childcare relationships in ways that help solve the adaptive problem they face. We discuss the implications of our results and the example provided by Shodagor women for a broader understanding of women's cooperative relationships, including the importance of socio-ecological circumstances and gendered divisions of labour in shaping women's cooperative strategies. This article is part of the theme issue ‘Cooperation among women: evolutionary and cross-cultural perspectives’.
The Impact of Employability Skills on Employers' Satisfaction: A Conceptual Model for Fresh Graduates of Engineering

Corporations require employees to catch up with the continuous changes that happened in the industries. Technology development and corporations' expansion globally drive soft skills to become so essential. Employability skills and positive attitudes become the most important things considered by employers for recruiting fresh graduates. In Indonesia, the number of engineering bachelor's required is increasing each year. The manufacturing industry in Indonesia is one of the most critical sectors, which shows by the industry contribution to Indonesia's Gross Domestic Product. The study's objectives are to develop a conceptual model for employability skills among fresh graduates of engineering regarding employers' satisfaction and hiring intention and to analyze the skills gap between skills importance and skills possessed, perceived by employers. The model included seven skills as part of employability skills: communication skills, professional skills, core employability skills, thinking skills, interpersonal skills, computing skills, and enterprise and entrepreneurial skills. Two other variables are employers' satisfaction and employers' hiring intention. The data were gathered through a structured questionnaire from employers in manufacturing corporations employing fresh graduates of engineering from Indonesia Universities and Institutes.
A Conceptual Model for Contractor Assessment System in the Electricity Project with Tender

The selection of an EPC Contractor in Procurement for Indonesia's electricity system faces several challenges, especially for strategic projects such as transmission and substations. The procurement of goods/services in the electricity sector considers several evaluation criteria such as technical experience, administrative requirements, prices, and how the provider has met the applicable provisions in Indonesia. This research aimed to design a conceptual model to determine the EPC Tender Process Criteria for Electricity Construction by using an experimental design approach to measure the value of the 4 (four) main criteria used in the evaluation and actual implementation of EPC contractors. This conceptual model included stakeholders involved as executors of tenders or policy-makers directly related to achieving organizational goals. The data processing method used the Multicriteria decision-making method (MCDM) such as the Analytic Network Process (ANP) and the Promethee Method.
Conceptual Modeling of Safety Culture in Coal Steam Power Plant Operations and Maintenance Services in Indonesia

Abstract The safety culture plays a very important role in shaping the behavior of workers in the operation and maintenance of the Coal Power Plant. Thus efforts to reduce work accidents in operation and maintenance must begin by establishing a good work safety culture. However, the study of the culture of workplace safety and the influence between dimensions of the culture of workplace safety is still very rare in the operation and maintenance of the Coal Fired Power Plant (PLTU). This research is aimed at knowing empirically the influence of the dimensions of safety culture on strategies to improve safety performance. To achieve this goal, first proposed a model consisting of eight dimensions of safety culture namely commitment, leadership, responsibility, competence, engagement & involvement, information & communication, risk, and organizational learning. Confirmatory Factor Analysis (CFA) was conducted to confirm the eight safety culture constructs. This model is then tested by Structural Equation Modeling (SEM) to identify the most significant relationship influence. Data was obtained by distributing questionnaires to 246 workers at PLTU A and PLTU B in Indonesia using stratified sampling and measurement methods using a safety culture maturity model. These findings attempt to help the operation and maintenance services company management by identifying the significant influence of dimensions to improve safety performance.
Reconstructing the South Pacific Convergence Zone Position during the Presatellite Era: A La Niña Case Study

AbstractSixty-four southwest Pacific island meteorological stations were used to develop ENSO-related austral warm season (November–April) rainfall climatologies for 1961–90. Historical data for the same station set were then examined for 1955/56, one of the strongest La Ninas of the twentieth century. The pattern for that event was typical of a well-coupled protracted La Nina, with above-normal rainfall (>150%) observed for 17 stations in the case study.Tropical cyclone tracks were also used to illustrate the proximal effects of historical storms on station rainfall. Several stations that were located along the northern edge of the tropical cyclone swarm, but south of a region of anomalously low rainfall, were selected as possible candidates having been close to the mean South Pacific convergence zone (SPCZ) location. Linear interpolations between those stations highlighted a likely SPCZ position for the 1955/56 event.The reconstructed SPCZ location indicated a position southwest of normal, consistent wi.
On Duality Principle for Hedging Strategies in Diffusion Models

In option pricing theory, the well-known duality principle proposes that calculation of risk-neutral prices of call options can be carried out to calculation of risk-neutral prices of put options in corresponding dual models. In the present paper we discuss a number of options in diffusion models, for which we show how the problem of deriving hedging strategies for call options can be transformed into the problem of deriving hedging strategies for put options in dual models. We consider also Magrabe options and some exotic options.
Surface plasmon resonance-enabled antibacterial digital versatile discs

We report the achievement of effective sterilization of exemplary bacteria including Escherichia coli and Geobacillus stearothermophilus spores on a digital versatile disc (DVD). The spiral arrangement of aluminum-covered pits generates strong surface plasmon resonance (SPR) absorption of near-infrared light, leading to high surface temperature that could even damage the DVD plastics. Localized protein denaturation and high sterilization efficiency have been demonstrated by using a fluorescence microscope and cell cultures. Numerical simulations have also been conducted to model the SPR properties and the surface temperature distribution of DVDs under laser illumination. The theoretical predictions agree reasonably well with the experimental results.
A Generalization of Effective Mass for Selecting Free–Free Target Modes

One of the most important tasks in pretest analysis and modal survey planning is the selection of target modes. The target modes are those mode shapes that are determined to be dynamically important using some definition. While there are many measures of dynamic importance, one of the measures that has been of greatest interest to structural dynamicists, is the contribution of each mode to the dynamic loads at an interface. Dynamically important modes contribute significantly to the interface loads and must be retained in any reduced analytical representation. These modes must be identified during a ground vibration test to validate the corresponding finite element model. Structural dynamicists have used interface load based effective mass measures to efficiently identify target modes for constrained structures. The advantage of these measures of dynamic importance is that they are absolute, in contrast to other measures that only indicate the importance of one mode shape relative to another. However, in many situations, especially in aerospace applications, structures must be tested in a free-free configuration. In the case of free-free elastic modes, the effective mass values are zero, making them useless measures of dynamic importance. This paper presents a new effective mass like measure of absolute dynamic importance that can be applied to free-free structures. The new method is derived based upon the free-free modal equations of motion. The approach is shown to be directly related to ranking mode shapes based on approximate balanced singular values. But, unlike the approximate balanced singular value approach, it is an absolute measure of importance. A numerical example of a general spacecraft system is presented to illustrate the application of the new technique. Dynamically important mode shapes were easily identified for modal acceleration, velocity, and displacement output. The new method provides an efficient technique for selecting target modes for a modal vibration test, or the reduction of a modal based analytical model to the dynamically important mode shapes.
Successful endovascular repair of complicated pseudoaneurysm using Perclose ProGlide: A novel concept

Iatrogenic pseudoaneurysm is common vascular complications of angiographic procedures. Patients with uncomplicated pseudoaneurysms can be managed with ultrasound‐guided techniques. However, for complicated pseudoaneurysms, surgical repair of the artery is mandatory. We report a case of successful repair of complicated pseudoaneurysm using an access‐site closure device, Perclose ProGlide™ without a surgical approach.
Expository and guided discovery methods of presenting secondary school physics tasks

Two teaching methods, expository and guided discovery, were used to present physics tasks to a random sample of 120 secondary school, class three students (approximately 14‐year olds). The students were tested before the experiment, properly equated and then exposed to a four‐week unit on optics (which comprised light as a form of energy, reflection of light on plane and curved surfaces, and related problems on reflection of light). Analysis of post‐test scores showed that the guided discovery approach produced significantly higher gains (p < 005) in achievement over the expository approach.
Predicting and Interpreting Protein Developability via Transfer of Convolutional Sequence Representation

Engineered proteins have emerged as novel diagnostics, therapeutics, and catalysts. Often, poor protein developability – quantified by expression, solubility, and stability – hinders utility. The ability to predict protein developability from amino acid sequence would reduce the experimental burden when selecting candidates. Recent advances in screening technologies enabled a high-throughput developability dataset for 105 of 1020 possible variants of protein ligand scaffold Gp2. In this work, we evaluate the ability of neural networks to learn a developability representation from a high-throughput dataset and transfer this knowledge to predict recombinant expression beyond observed sequences. The model convolves learned amino acid properties to predict expression levels 44% closer to the experimental variance compared to a non-embedded control. Analysis of learned amino acid embeddings highlights the uniqueness of cysteine, the importance of hydrophobicity and charge, and the unimportance of aromaticity, when aiming to improve the developability of small proteins. We identify clusters of similar sequences with increased developability through nonlinear dimensionality reduction and we explore the inferred developability landscape via nested sampling. The analysis enables the first direct visualization of the fitness landscape and highlights the existence of evolutionary bottlenecks in sequence space giving rise to competing subpopulations of sequences with different developability. The work advances applied protein engineering efforts by predicting and interpreting protein scaffold developability from a limited dataset. Furthermore, our statistical mechanical treatment of the problem advances foundational efforts to characterize the structure of the protein fitness landscape and the amino acid characteristics that influence protein developability. Significance statement Protein developability prediction and understanding constitutes a critical limiting step in biologic discovery and engineering due to limited experimental throughput. We demonstrate the ability of a machine learning model to learn sequence-developability relationships first through the use of high-throughput assay data, followed by the transfer of the learned developability representation to predict the true metric of interest, recombinant yield in bacterial production. Model performance is 44% better than a model not pre-trained using the high-throughput assays. Analysis of model behavior reveals the importance of cysteine, charge, and hydrophobicity to developability, as well as of an evolutionary bottleneck that greatly limited sequence diversity above 1.3 mg/L yield. Experimental characterization of model predicted candidates confirms the benefit of this transfer learning and in-silico evolution approach.
PRESGENE: A web server for PRediction of ESsential GENE using integrative machine learning strategies

Study of essential genes in disease-causing organisms has wide application in the prediction of therapeutic targets and exploring different clinical strategies. Predicting gene essentiality for large set of genes in non-model, less explored organisms is challenging. Computational methods that use machine learning (ML)-based strategies are popularly adopted for essential gene prediction as they provide key advantage of considering diverse biological features. Previous works from our group have demonstrated two ML-based pipelines for predicting essential genes with high accuracy that mitigates the problems of sufficient labeled imbalanced dataset and limited labeled datasets of essential genes. Here we present PRESGENE at https://presgene.ncl. res.in, a ML-based web server for prediction of essential genes in unexplored eukaryotic and prokaryotic organisms. Our algorithms mitigate the problems of training dataset imbalance and limited availability of experimentally labeled data for essential genes. PRESGENE with its user-friendly web interface and high accuracy will prove to be a seamless experience for biologists looking for an accurate essential gene prediction server with limited labeled data for novel organisms.
Organization, genomic targeting and assembly of three distinct SWI/SNF chromatin remodeling complexes in Arabidopsis

Switch defective/sucrose non-fermentable (SWI/SNF) complexes are evolutionarily conserved multi-subunit machines that play vital roles in chromatin architecture regulation for modulating gene expression via sliding or ejection of nucleosomes in eukaryotes. In plants, perturbations of SWI/SNF subunits often result in severe developmental disorders. However, the subunit composition, pathways of assembly, and genomic targeting of the plant SWI/SNF complexes remain undefined. Here, we reveal the organization, genomic targeting and assembly of three distinct Arabidopsis SWI/SNF complexes: BRAHMA-Associated SWI/SNF complexes (BAS), SPLAYED-Associated SWI/SNF complexes (SAS) and MINUSCULE-Associated SWI/SNF complexes (MAS). We show that BAS complexes are equivalent to human ncBAF, whereas SAS and MAS complexes evolve in multiple subunits unique to plants, suggesting a plant-specific functional evolution of SWI/SNF complexes. We further demonstrate overlapping and specific genomic targeting of the three plant SWI/SNF complexes on chromatin and reveal that SAS complexes are necessary for the correct genomic localization of the BAS complexes. Finally, we define the role of core module subunit in the assembly of the plant SWI/SNF complexes and highlight that ATPase module subunit is required for global complex stability and the interaction of core module subunits in SAS and BAS complexes in Arabidopsis. Together, our work highlights the divergence of SWI/SNF chromatin remodelers during the eukaryote evolution and provides a comprehensive landscape for understanding the plant SWI/SNF complexes organization, assembly, genomic targeting, and function. One-sentence summary Comprehensively define the organization, genomic targeting and assembly of three distinct SWI/SNF chromatin remodeling complexes in Arabidopsis