Miracle-dz/UniFAR-FTUs huggingface dataset:
Refractive index sensing setup based on a taper and an intrinsic micro Fabry-Perot interferometer

M. Cano-Contreras Departamento de Estudios Multidisciplinarios, División de Ingenierı́as, Universidad de Guanajuato, Av. Universidad s/n, Col. Yacatitas, Yuriria, Gto. , C.P. 38940, Mexico Universidad Tecnológica del Suroeste de Guanajuato, Carr. Valle-Huanı́maro Km. 1.2, Valle de Santiago, Gto. , C.P. 38940, Mexico A. D. Guzman-Chavez ad.guzman@ugto.mx Departamento de Estudios Multidisciplinarios, División de Ingenierı́as, Universidad de Guanajuato, Av. Universidad s/n, Col. Yacatitas, Yuriria, Gto. , C.P. 38940, Mexico E. Vargas-Rodriguez Departamento de Estudios Multidisciplinarios, División de Ingenierı́as, Universidad de Guanajuato, Av. Universidad s/n, Col. Yacatitas, Yuriria, Gto. , C.P. 38940, Mexico E. Gallegos-Arellano Departamento de Estudios Multidisciplinarios, División de Ingenierı́as, Universidad de Guanajuato, Av. Universidad s/n, Col. Yacatitas, Yuriria, Gto. , C.P. 38940, Mexico Universidad Tecnológica de Salamanca, Av. Universidad Tecnológica #200, Col. Ciudad Bajı́o, Salamanca, Gto. , C.P. 36764, Mexico D. Jauregui-Vazquez Departamento de Electrónica, División de Ingenierı́as, Universidad de Guanajuato, Carretera Salamanca-Valle de Santiago Km 3.5 + 1.8, Comunidad de Palo Blanco, Salamanca, Gto. , C.P. 36885, Mexico R. I. Mata-Chavez Departamento de Estudios Multidisciplinarios, División de Ingenierı́as, Universidad de Guanajuato, Av. Universidad s/n, Col. Yacatitas, Yuriria, Gto. , C.P. 38940, Mexico M. Torres-Cisneros Departamento de Electrónica, División de Ingenierı́as, Universidad de Guanajuato, Carretera Salamanca-Valle de Santiago Km 3.5 + 1.8, Comunidad de Palo Blanco, Salamanca, Gto. , C.P. 36885, Mexico R. Rojas-Laguna Departamento de Electrónica, División de Ingenierı́as, Universidad de Guanajuato, Carretera Salamanca-Valle de Santiago Km 3.5 + 1.8, Comunidad de Palo Blanco, Salamanca, Gto. , C.P. 36885, Mexico
Agriculture Extension and Social

Indian Council of Agricultural Research (ICAR), New Delhi, initiated national level cluster frontline demonstrations (CFLDs) on oilseeds with the main objective of demonstrating the production potential of improved varieties and technologies in the farmers’ fields. The present study evaluates the cluster frontline demonstrations (CFLDs) conducted by ICAR-ATARI, Hyderabad, Zone-10 on Sesame during 2017 to 2021. A total of 3562 CFLDs were conducted in 1425 ha area in 22 districts of Andhra Pradesh, Tamil Nadu and Telangana states for four years. The overall yield advantage of 1.78 q/ha was recorded in demonstration plots compared to the farmers practice with 29.49% increase in yields. Technology gap of 2.11 q/ha and technology index of 21.21% were registered. The net returns of 46557 Rs. /ha and benefit cost ration of 3.03 were recorded in demonstration plots compared to 28923 Rs. /ha and 2.24 in farmers practices respectively. The technological intervention with improved variety of sesame, technology package and good extension services by the KVKs resulted in enhanced production, productivity and profitability of the farmers.
Reproduction of independent narrowband soundfields in a multizone surround system and its extension to speech signal sources

While higher order ambisonic approaches can be used to generate multiple zone soundfields, this paper adopts a Least Squares matching approach which provides a more flexible formulation. The base approach, adopted from [1] computes speaker weights which allow for the placement of single sources in the soundfield. In this paper the approach is extended firstly to two multi-frequency sources and then to narrowband speech signals. The results for multi-frequency sources explore the zonal soundfield errors resulting from varied source positions. For speech signals, the approach provides a potential solution for multiple conversation reproduction in a multi user environment. The paper results indicate that the approach is feasible for zones which do not suffer occlusion effects from other zones. However, for more versatile multizone soundfield reproduction a 3D approach is recommended.
Journal of Population Therapeutics & Clinical Pharmacology

Introduction : Dry mouth, commonly known as dry mouth, substantially diminishes life quality, particularly among edentulous individuals utilizing dental prostheses. Given the scarcity of data on this condition's prevalence and its repercussions for those dependent on denture prosthesis, this investigation seeks to elucidate the relationship between xerostomia, its influencing factors, and its implications for the oral health-related quality of life among denture users. Methods : A systematic exploration of scholarly articles published before 2022 was undertaken across six databases, including Ovid MEDLINE, Evidence Based Medicine Reviews Database, Cochrane Database of Systematic Reviews, American College of Physicians Journal Club, Database of Abstracts of Reviews of Effects, and the Cochrane Central Register of Controlled Trials
Trade Openness and Economic Growth: A Panel Causality Analysis

This paper examines the short-term and long-run dynamics between per capita GDP growth and openness for 158 countries over the period 1970-2009. We use panel cointegration tests and panel error-correction models (ECM) in combination with GMM estimation to explore the causal relationship between these two variables. We approach the problem of a potential endogeneity between openness and growth by including only growth rates and lagged values of the independent variable. Additionally, we apply Difference GMM and System GMM estimation. These estimators also address the issue of a possible correlation between the lagged endogenous variable and the error term. The results suggest a long-run relationship between openness and economic growth with a short-run adjustment to the deviation from the equilibrium for both directions of dependency. The long-run coefficients indicate a positive significant causality from openness to growth and vice versa, indicating that international integration is a beneficial strategy for growth in the long term. By contrast the short-run coefficient shows a negative short-run adjustment, suggesting that openness can be painful for an economy undergoing short-term adjustments. In addition to the entire panel we subdivide the data into income-related subpanels. While the long-run effect remains predominantly positive and significant, the short-run adjustment becomes positive when the income level increases. This result suggests that different trade structures in low-income and high-income countries have different effects on economic growth.
Silent Burdens in Disease: Fatigue and Depression in SLE

At a time when health is being recognized as more than just avoiding death, age and comorbidity are becoming increasingly important aspects of chronic disease. Systemic Lupus Erythematous (SLE) is probably one of the best paradigms of modern chronic disease, sitting at the crossroads of numerous somatic health problems, immune activation, depression, pain, and fatigue. One hundred forty-eight female participants were enrolled in the present study: 50 diagnosed with SLE, 45 with major depressive disorder (MDD), and 53 age-matched controls. Statistically significant lower scores in quality-of-life dimensions related to physical impairment were found in SLE. Patients with MDD presented significant levels of pain, reduced physical summary component (PSC), and general health scores different from healthy controls. Fatigue was reported in 90% of women with SLE and 77.8% of the MDD patients in contrast with 39.6% in the control group. Significant correlations were seen among fatigue severity, age, and educational level in SLE. From our own previous work and more recent work on the association of immune activation and depression, unexplained fatigue in SLE may signify an early sign of immune activation flare-up. The search for cytokine markers should perhaps be extended to fatigue in SLE.
Sustainable Automated CROP Irrigation Design System Based on IOT and Machine Learning

: Farmers face a difficult challenge of sufficient water management in a period of rising water scarcity, and it is one that must be approached with care. The monsoon rains provide a significant amount of water for agriculture, yet this supply is inadequate. The report advises that farm irrigation systems be automated in order to increase efficiency. Farming's water resources are being managed via the use of a smart irrigation system that includes the Internet of Things (IoT) and Machine Learning technologies (ML). This paper proposes an Internet of Things-enabled, machine-learning-trained recommendation system for effective irrigation water utilisation. In order to keep track of the ground and its surroundings, farmers employ sensors from the Internet of Things (IoT). After being transmitted to a cloud-based server, the data is analysed and converted into irrigation pointers for the farmer with the use of artificial intelligence (AI). Adding a feedback mechanism has improved its durability while also increasing its flexibility. The method appears to be effective on both our own datasets and a dataset from the agricultural department at NIT Raipur, according to our tests. Experiments have revealed By reducing the need for typical irrigation systems, this technology conserves water, labour, and plant nutrients while increasing yields. An innovative technological prototype at an affordable price, as well as a fully operational machine that delivers the best and most accurate results, are included in the package.
A discrete period of FGF-induced Erk1/2 signalling is required for vertebrate neural specification

Neural tissue formation is induced by growth factors that activate networks of signal transduction cascades that ultimately lead to the expression of early neural genes, including transcription factors of the SoxB family. Here, we report that fibroblast growth factor (FGF)-induced Erk1/2 (Mapk3 and Mapk1, respectively) mitogen-activated protein kinase (MAPK), but not phosphatidylinositol 3′-OH kinase (PI3K, Pik3r1), signalling is required for neural specification in mouse embryonic stem (ES) cells and in the chick embryo. Further, blocking Erk1/2 inhibits the onset of key SoxB genes in both mouse ES cells (Sox1) and chick embryos (Sox2 and Sox3) and, in both contexts, Erk1/2 signalling is required during only a narrow time window, as neural specification takes place. In the absence of Erk1/2 signalling, differentiation of ES cells stalls following Fgf5 upregulation. Using differentiating ES cells as a model for neural specification, we demonstrate that sustained Erk1/2 activation controls the transition from an Fgf5-positive, primitive ectoderm-like cell state to a neural progenitor cell state without attenuating bone morphogenetic protein (BMP) signalling and we also define the minimum period of Erk1/2 activity required to mediate this key developmental step. Together, these findings identify a conserved, specific and stage-dependent requirement for Erk1/2 signalling downstream of FGF-induced neural specification in higher vertebrates and provide insight into the signalling dynamics governing this process.
Leveraging Interaction History for Intelligent Configuration of Multiple Coordinated Views in Visualization Tools

Visualization tools can take advantage of multiple coordinated views to support analysis of large, multidimensional data sets. Effective design of such views and layouts can be challenging, but understanding users’ analysis strategies can inform design improvements. We outline an approach for intelligent design configuration of visualization tools with multiple coordinated views, and we discuss a proposed software framework to support the approach. The proposed software framework could capture and learn from user interaction data to automate new compositions of views and widgets. Such a framework could reduce the time needed for meta analysis of the visualization use and lead to more effective visualization design.
Performance Analysis and Comparison of Bluetooth Low Energy with IEEE 802.15.4 and SimpliciTI

Bluetooth Low Energy (BLE) is a recently developed energy-efficient short-range wireless communication protocol. In this paper, we discuss and compare the maximum peer-to-peer throughput, the minimum frame turnaround time, and the energy consumption for three protocols, namely BLE, IEEE 802.15. 4 and SimpliciTI. The specifics and the main contributions are the results both of the theoretical analysis and of the empirical measurements, which were executed using the commercially available hardware transceivers and software stacks. The presented results reveal the protocols’ capabilities and enable one to estimate the feasibility of using these technologies for particular applications. Based on the presented results, we draw conclusions regarding the feasibility and the most suitable application scenarios of the BLE technology.
Goffin cockatoos wait for qualitative and quantitative gains but prefer ‘better’ to ‘more’

Evidence for flexible impulse control over food consumption is rare in non-human animals. So far, only primates and corvids have been shown to be able to fully inhibit the consumption of a desirable food item in anticipation for a gain in quality or quantity longer than a minute. We tested Goffin cockatoos (Cacatua goffini) in an exchange task. Subjects were able to bridge delays of up to 80 s for a preferred food quality and up to 20 s for a higher quantity, providing the first evidence for temporal discounting in birds that do not cache food.
Frequency Stabilization for Multi-Area Thermal-Hydro Power System using GA optimized Fuzzy Logic Controller in Deregulated Environment

This paper develops a model of load frequency control (LFC) for an interconnected two-area thermal-hydro power system under deregulated environment. In this paper, Fuzzy Logic Controller (FLC) is optimized by genetic algorithm in two steps. First step of FLC optimization is for variables range optimization and second step is for optimization of scaling and gain parameters. Further GA optimized FLC is compared against conventional Proportional Integral Derivative (PID) controller and simple FLC. The proposed GA optimized FLC shows better dynamic response following a step load change with combination of poolco and bilateral contracts in a deregulated environment. In this paper the effect of governor dead-band (DB) is also considered. In addition, performance of GA optimized FLC also has been examined for various step load changes in different distribution units demand and compared with PID controller and simple FLC.
Automated Verification of Fail-Free Declarative Programs

Unintended failures during a computation are painful but frequent during software development. Failures due to external reasons (e.g., missing files, no permissions) can be caught by exception handlers. Programming failures, such as calling a partially defined operation with unintended arguments, are often not caught due to the assumption that the software is correct. This paper presents an approach to verify such assumptions. For this purpose, non-failure conditions for operations are inferred and then checked in all uses of partially defined operations. In the positive case, the absence of such failures is ensured. In the negative case, the programmer could adapt the program to handle possibly failing situations and check the program again. Our method is fully automatic and can be applied to larger declarative programs. The results of an implementation for functional logic Curry programs are presented.
Detection of Helicobacter pylori in Raw and Drinking Water of Ahvaz City, Iran by PCR

Stomach Cancer is third most prevalent cancer worldwide and most common gastrointestinal cancer in Iran.Several studies showed relationship between Helicobacter pylori and Stomach Cancer. Some studies in countries with low socioeconomic status and poor water supply indicated the importance of environmental factors specially water sources.Since prevalence rate of H.pylori infection in Khuzestan province was about 57%,we decided to investigate about presence of the bacteria in raw and drinking water of Ahvaz city using Polymerase Chain Reaction (PCR) method. Also physicochemical characteristics of water samples examined to determine role of them on presence or absence of Helicobacter pylori . Water samples were collected from River and water taps in consumption points. Obtained water sample examined by PCR method. PCR examination for all 45 water samples was negative, and we could not detect H.pylori bacteria in water samples. In River water samples, high turbidity and presence of several organic, inorganic materials, also low concentration of H.pylori DNA and transform spiral form of H. pylori to coccoid form and In treated water samples, high residual chlorine and pH can destroy H.pylori DNA, low concentration of H.pylori DNA and low sensitivity of PCR method for detection of H.pylori in water samples made detection it difficult by PCR.
Fourier-based transmission line ultra-wideband Wilkinson power divider for EARS applications

We propose a technique with clear guidelines to design a compact planar ultra-wideband (UWB) Wilkinson power divider (WPD) for enhanced-access to the radio spectrum (EARS) applications. The design procedure is accomplished by replacing the uniform transmission lines in each arm of the conventional power divider with varying-impedance profiles governed by a truncated Fourier series. While such non-uniform transmission lines (NTLs) are obtained through the even mode analysis, three isolation resistors are optimized in the odd mode circuit to achieve proper isolation and output ports matching over the frequency range of interest. For verification purposes, an in-phase equal split WPD is designed, simulated, and measured. Simulation and measurement results show that the input and output ports matching as well as the isolation are below -10 dB, whereas the transmission parameters are in the range of (-3.2 dB, -4.2 dB) across the 3.1 GHz - 10.6 GHz band.
The search for Population III stars

Abstract Population III stars, the first generation of stars formed from primordial Big Bang material with a top–heavy IMF, should contribute substantially to the Universe reionization and they are crucial for understanding the early metal enrichment of galaxies. Therefore it is very important that these objects, foreseen by theories, are detected by observations. However PopIII stars, searched through the HeII 1640Å line signature, have remained elusive. We report about the search for the HeII line in a galaxy at z = 6.5, which is a very promising candidate. Unfortunately we are not yet able to show the results of this search. However we call attention to the possible detection of PopIII stars in a lensed HII dwarf galaxy at z = 3.4, which appeared in the literature some years ago, but has been overlooked.
Comparison of Reaching Kinematics During Mirror and Parallel Robot Assisted Movements

The use of robotic devices in rehabilitation allows therapists to administer the desired movement with the preferred level of assistance while expending minimum effort. Robotic devices have been used in recent years to enhance sensori-motor recovery of the impaired arm in persons with stroke. Despite recent recommendations for bimanual practice, robot-assisted bimanual activities are rarely explored and are limited to mirror image movements. We developed a novel parallel movement mode for the Mirror Image Movement Enabler robotic system and investigated trajectory error (TE) exhibited by healthy adults during parallel and mirror image motions to various target locations. TE values differed for parallel and mirror image motions and for certain target locations, suggesting the importance of considering these factors when developing robot-assisted bimanual activities.
Automatic alignment of Czech and English deep syntactic dependency trees

In this paper, we focus on alignment of Czech and English tectogrammatical dependency trees. The alignment of deep syntactic de- pendency trees can be used for training transfer models for machine translation systems based on analysis-transfer-synthesis architecture. The results of our experiments show that shifting the alignment task from the word layer to the tectogrammatical layer both (a) increases the inter- annotator agreement on the task and (b) allows to construct a feature- based algorithm which uses sentence structure and which outperforms the GIZA++ aligner in terms of f-measure on aligned tectogrammatical node pairs.
Computational imaging in cell biology

Microscopy of cells has changed dramatically since its early days in the mid-seventeenth century. Image analysis has concurrently evolved from measurements of hand drawings and still photographs to computational methods that (semi-) automatically quantify objects, distances, concentrations, and velocities of cells and subcellular structures. Today's imaging technologies generate a wealth of data that requires visualization and multi-dimensional and quantitative image analysis as prerequisites to turning qualitative data into quantitative values. Such quantitative data provide the basis for mathematical modeling of protein kinetics and biochemical signaling networks that, in turn, open the way toward a quantitative view of cell biology. Here, we will review technologies for analyzing and reconstructing dynamic structures and processes in the living cell. We will present live-cell studies that would have been impossible without computational imaging. These applications illustrate the potential of computational imaging to enhance our knowledge of the dynamics of cellular structures and processes.
Submitted to PLoP ’ 96 Patterns for Cooperation

Collaborating autonomous agents are becoming increasingly attractive for systems where problem solving and decision making must be distributed. Unfortunately, they are not yet practical for industrial application. Selected aspects of agent theory, however, can be very useful to software development. In this paper, we give three patterns which can form a base for this. The patterns are the result of a process improvement project for the textile industry, which we will use as an example.
Chula Digital Collections Chula Digital Collections

In this study, we propose a trading optimization methodology for the pair trading strategy. The Johansen cointegration test and the correlation measure are used for pair selection. We apply Deep-Q-network (DQN) technique in which the trainable reinforcement learning agent is designed to directly control the trading positions. The maximum overlap discrete wavelet transformation (MODWT) algorithm is used for generating the trading signal from the spread time series. Wavelet signal preprocessing is used to extract the original time series into cyclic time series components and long-term behavior components. Based on the in-sample performance this trading model successfully solves a profit maximizing in the pair trading problem using wavelet components predictors. However, poor out-of-sample results observed in many sampled pairs indicate that the proposed procedure has an overfitting problem.