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The study's findings reveal a positive correlation between financial literacy (LK) and investment decisions (KI). Given that Generation Z (Gen Z) constitutes the largest population segment in Indonesia, their role in future economic development is deemed crucial. With a strong foundation in financial literacy, Gen Z individuals are poised to become influential change agents. The research employed a causal-comparative quantitative method to assess the impact of financial literacy on investment decisions. Data were gathered through questionnaires, observation, and interviews involving 126 Gen Z respondents. The study advocates for more comprehensive research endeavors, exploring a wider range of variables and employing diverse research methodologies in future investigations. [ABSTRACT FROM AUTHOR]

Interspecific crosses of impatiens produce sterile hybrids. Amphidiploids bridge the transfer of genes from one species to a relative species. The experiment was conducted at the Experimental Station of the Indonesian Ornamental Crops Research Institute from January 2021–July 2022. The study was carried out to estimate the variability parameters for quantitative and qualitative characters and the similarity of the parents and their progenies. A Randomized Complete Block Design was used with 15 amphidiploid genotypes as the treatment. The genotypic and phenotypic variations were calculated using Analysis of Variance and expressed as genotypic and phenotypic variances and broad sense heritability estimate. The qualitative characters were analyzed as the degree of similarity for pairs of clones and their parents, cluster analysis of the morphological data, and matrix coefficient analysis. Results showed that the genotypic coefficient of variance ranged from 0.56% (eye zone width) to 68.64 % (flower width). The phenotypic coefficient of variation also had a similar trend as the genotypic coefficient of variation indicating that these characters are less influenced by the environment. The heritability varied from 17.05 (leaf width) to 99.35% (flower width). The level of similarity between genotypes based on the color of the flower, leaf, pedicel, spur, and stem was 14% suggesting differences in the genotypes. The results of this study imply that the following generation of crosses between amphidiploid genotypes with large variations followed by high heritability can turn out varied offspring and effective selection within the early generations. [ABSTRACT FROM AUTHOR]

We have studied the temperature dependent Current (I)-Voltage (V) characteristic, structural and electronic transport properties of Heusler Fe2TiSn alloy. The Polycrystalline sample Fe2TiSn was synthesized using arc melting technique. Structural investigation has been done using x-ray powder diffraction and Rietveld analysis. Fe2TiSn sample crystallize in Cubic structure with Fm-3m space group. Electrical resistivity data of Fe2TiSn exhibits metal to insulator transition around TMI ~ 103K. Resistivity data shows Mott type Variable range hopping in temperature range 304 K to 218K. The electronic charge transport in this system found to follow power law dependence in low temperature. Current-Voltage characteristic shows linear behavior following an Ohmic law for all different temperature. Analysis of I-V data indicates that conduction is not due to Schottky emission. [ABSTRACT FROM AUTHOR]

We have studied the structural and electrical transport properties of LaCrO3 perovskite. Epitaxial thin film of LaCrO3 has been prepared on SrTiO3 (100) substrate using the pulsed laser deposition (PLD) technique. Structural analysis revealed that LaCrO3 has an orthorhombic crystal structure with Pnma space group. The resistivity of bulk LaCrO3 showed metal to insulator behavior, and Mott's variable range hopping (VRH) model at high temperature. The films' quality was confirmed by Atomic Force Microscopy (AFM), and the electronic charge transport in this system was found to follow power law dependence at low temperature. [ABSTRACT FROM AUTHOR]

Epitaxial La0.67Ca0.33MnO3 (LCMO) single layer and bilayer super-lattices made of ferromagnetic and paramagnetic based La0.67Ca0.33MnO3/SrIrO3 (SIO) have been grown on (001)-oriented SrTiO3 single-crystal substrate using the pulsed laser deposition (PLD) method. The structural and electrical transport properties of the films has been investigated. Single layer LCMO film temperature dependence resistivity data shows insulating behaviour which fitted with Mott variable-range hopping (VRH) model, however bilayer LCMO/SIO film data shows metal to insulator behaviour. Atomic Force Microscope (AFM) confirms that the surface of film has no cluster and voids. [ABSTRACT FROM AUTHOR]

Early identification of brain tumors is essential for saving and extending the patient's life. Brain tumors can be devastating if they are not detected in time. The ability and knowledge of the radiologist, which may only sometimes be available, are required for making a manual diagnosis of brain tumors. Manual procedures are also time-consuming, inaccurate, and ineffective. Therefore, a workable solution is required to ensure a precise diagnosis. Procedure evolution and in-depth research over time have established that many Machine Learning (ML) indicative systems must be capable of identifying and analyzing brain tumors. Many segmentation algorithms have been developed to accomplish this and increase the classification accuracy of brain tumors. Professionals in medical image processing have recognized the intricacy and challenge of segmenting brain images. A novel automatic technique for detection and categorization is suggested in this work. An automated magnetic resonance imaging (MRI) method to detect brain tumors is discussed in this article. The experiments' findings showed that the suggested model had a good accuracy of 98.53%. The results of the inquiry into the recommended model's efficacy using quality metric measures, such as precision, recall, f1 score, and support. [ABSTRACT FROM AUTHOR]

In the current era, heart failure is a multifaceted clinical disease; it affects many people worldwide. As a result, early diagnosis of cardiac disease will help with treatment. A technology that can more quickly diagnose heart disease must be developed because the number of people with the condition is rapidly rising. When evaluating and diagnosing heart failure in its early stages, cardiac centers and hospitals heavily rely on electrocardiograms (ECGs). An accurate diagnosis of Heart Disease (HD) can save lives, whereas an incorrect diagnosis can result in death. The primary focus of this paper is to develop a basic ensemble-learning model to enhance the diagnosis of heart conditions in the proper manner. The results and analysis of the UCI Machine Learning (ML) HD dataset are compared and analyzed. Different classification metrics are used to confirm the model's performance. This article aims to inspire data scientists to use effective ML models in biomedical analysis. [ABSTRACT FROM AUTHOR]

Citizens' and urban settings' life quality and services have significantly improved as a result of smart cities. They have complete capability to manage physical things in real time along with offering intelligent knowledge to people in areas such as transportation, medical, intelligent cities, public security, parking management, and traffic systems, as well as smart agriculture. Smart city apps may gather sensitive data. Security and confidentiality problems, however, may emerge at different levels of the design. As a result, it's critical to consider the security and privacy concerns when developing and deploying apps. Primary uses of smart cities are highlighted in this article, as well as the significant privacy and security concerns that arise for the design of intelligent city frameworks. Moreover it examines few existing elucidations for the privacy and security of information-centred intelligent city applications, as well as future research issues that must be addressed in order to enhance performance. [ABSTRACT FROM AUTHOR]

In this study we report the effect of polyethylene glycol-3350 (PEG) on the sensitivity of gadolinium ferrite nano-particle based electrochemical sensor. Gadolinium ferrite nano-particles were synthesized by combustion technique using sugar and ethanolamine as fuel. The synthesized nano materials were characterized using advanced analytical techniques like FESEM, and TEM. After confirming the size of synthesized material in nano range the electrochemical sensor was fabricated. Gadolinium ferrite nano-particle based electrochemical sensor (GdFeO3/GP) has been fabricated for the detection of aspirin. FESEM and TEM results reveal that synthesized nano materials are in nano range having 40 to 45 nm size. Cyclic voltammogram of 1µM ASA indicated a single irreversible oxidation peak at 1.1 V which was 2 fold higher than bare GP electrode. When the polyethylene glycol was mixed in analyte sample, the oxidation peak was nearly 2.6 time higher than bare GP. Maximum current value was obtained with supporting electrolyte at pH-6.0. Hence phosphate buffer solution of pH 6.0 was employed in all experimental work, maintaining scan rate at 100mVs−1. [ABSTRACT FROM AUTHOR]

Green IT seeks to utilise computing facilities in an energy-capability, expenditure-minimization, along with ecologically amiable way by greening the employ, dumping, layout, and manufacture of computers and computer-associated goods, that has an impact on many areas of a country's growth. The motivations and difficulties of green computing embracement in sustainable farming in India are discussed in this case study. The researcher created a study framework by combining two previously suggested models: the organisational green computing embracement framework including the consolidated framework for implementing green practises. This study examines the motivations and difficulties of implementing Green computing, as well as the understanding and acceptance of Green computing in India's agricultural industry. The conclusions of the study, which were related to investigation responses, recognise and validate the effect of drivers and obstacles when it comes to using Green computing in sustainable agriculture. [ABSTRACT FROM AUTHOR]

The significance of how information is obtained and helps to make proper decisions has been highlighted by the fast growth of the smart business and analytics processing. Big data in clinical applications opens up newer avenues for analysing and gaining insight from large amounts of data. The traditional methods to health data management have had mixed results. Because of its unique features, conventional methods are incapable of managing and processing large data. The article that follows demonstrates a variety of methods for processing large data, including machine learning and statistics methods. The article also discusses the different technologies for storing big data, as well as their benefits and drawbacks in the context of healthcare big data. [ABSTRACT FROM AUTHOR]

We investigate the electronic structure of a noncentrosymmetric superconductor, BiPdusingphotoemission spectroscopy with multiple photon energies ranging from ultraviolet to hard x-ray. Experimental data exhibit interesting difference in the surface and bulk electronic structuresof this system. While the surface Bi core level peaks appear at lower binding energies, the surface valence band features are found atthe higher binding energy side of the bulk valence band; valence band is primarily constituted by the Pd 4d states. These changes in the electronic structure cannot be explained by the change in ionicity of the constituent elements via charge transfer. Analysis of the experimental data indicates that the Bi- Pdhybridization physics plays the key role in deriving the anomalous spectral evolution and the electronic properties of this system. [ABSTRACT FROM AUTHOR]

We investigate the role of ligand states in the electronic properties of CaFe2As2 using high-resolution hard x-ray photoemission spectroscopy (HAXPES) at different sample temperatures. Experimental results indicate that the binding energy of Ca is close to that for 2+ charge state of Ca atoms and the other constituent elements, Fe and As possess electronic configuration close to that in elemental systems. No difference is observed in the As 3p core level spectra with the change of emission angle and/or the change in sample temperature. This is surprising as the Ca atoms at the cleaved sample surface reorganizes itself to form linear structures which is expected to influence Ca-As hybridization leading to significant difference in surface and bulk electronic structures. Moreover, CaFe2As2 undergoes structural and magnetic phase transition at 170 K, and strong Fe-As hybridization provides pathways for electron dynamics. Clearly, further studies are required to resolve these puzzling observations. [ABSTRACT FROM AUTHOR]

Polycrystalline Gd-doped YCrO3 ceramic samples (Y1-xGdxCrO3, x = 0.0, 0.3, and 0.5) are studied to understand the effect of Gd substitution on the structure and magnetic properties. Samples are subsequently characterized by powder X-ray diffraction, Raman spectroscopy, and magnetometry. XRD data suggest an orthorhombic structure for both pristine and Gd doped sample with Pnma space group. Rietveld refinement of the X-ray data indicates an increase in the unit cell dimensions due to size effect with increase in Gd concentration. With Gd doping, Raman modes due to CrO6 bending and in-plane O2 stretching broaden and Raman mode frequencies shifts to lower energies consistent with the X-ray diffraction data. The magnetic study shows that the magnetization at the lowest temperature increases with the increase of Gd content. When Gd doped at the Y-site, a temperature corresponds to the zero magnetization (M = 0) arises, assigned as Tcomp in addition to PM–AFM transition temperature (TN). With Gd concentration, the value of TN increases while the value of Tcomp decrease. [ABSTRACT FROM AUTHOR]

Polycrystalline YCrO3 and Y0.8Ca0.2CrO3 ceramic samples are studied subsequently using powder X-ray diffraction, Raman spectroscopy, X-ray photon spectroscopy and impedance spectroscopy to understand the effect of Ca doping on structural and electrical properties. Both samples have been prepared by conventional solid state reaction method. All the samples crystallize in Pnma orthorhombic structure without formation of any secondary phases confirming their phase-pure nature. Rietveld refinement of the X-ray data suggestes a decrease in unit cell volume. In Raman study, phonon modes shift to lower wave numbers and intensity leads to decrease due to doping at Y-site. The changes in phonon modes can be connected to the decrease in binding energy as observed in XPS studies. Further, impedance spectroscopy studies showed that the dc conductivity increases as Ca doped in YCrO3. The doping with Ca reduced the activation energy for conduction. Both samples indicate an anomaly across ~ 470 K, diffuse phase transition. [ABSTRACT FROM AUTHOR]

Sr2IrO4, 5d-transition metal oxides, has very interesting and unique properties which comes in perovskite-based layered compounds. The structural distortion plays an important role in this material and also after doping at Ir - site, the distortion present in system will be affected with doped elements which can lead very interesting properties of this system. Both Ir4+ and V4+ have comparable ionic radii so there is no phase change and impurity is coming. The dielectric constant and dielectric loss decreased with increase in frequency. This system is also showing the thermally activated conduction. [ABSTRACT FROM AUTHOR]

Polycrystalline Gd-doped YCrO3 ceramic samples (Y1-xGdxCrO3, x = 0.0, 0.3, and 0.5) are studied to understand the effect of Gd substitution on the structure and magnetic properties. Samples are subsequently characterized by powder X-ray diffraction, Raman spectroscopy, and magnetometry. XRD data suggest an orthorhombic structure for both pristine and Gd doped sample with Pnma space group. Rietveld refinement of the X-ray data indicates an increase in the unit cell dimensions due to size effect with increase in Gd concentration. With Gd doping, Raman modes due to CrO6 bending and in-plane O2 stretching broaden and Raman mode frequencies shifts to lower energies consistent with the X-ray diffraction data. The magnetic study shows that the magnetization at the lowest temperature increases with the increase of Gd content. When Gd doped at the Y-site, a temperature corresponds to the zero magnetization (M = 0) arises, assigned as Tcomp in addition to PM–AFM transition temperature (TN). With Gd concentration, the value of TN increases while the value of Tcomp decrease. [ABSTRACT FROM AUTHOR]

Sr2IrO4 material has significant spin-orbit coupling (SOC) effect which induces an exotic insulating behavior with antiferromagnetic ground state. The Ir adopts a charge state of Ir4+ (5d5) which gives a realization of Jeff = 1/2 state. Further, layer structure in this material shows anisotropic magnetic interaction. In present study, we have substituted V4+ (3d¹) in Sr2Ir1-xVxO4 (x = 0.0 and 0.025). Considering that V4+ will tune both SOC and electron correlation effect, a significant modification in magnetic and electronic behavior is expected. We observe that crystal structure is not significantly modified with present doping. However, we notice that magnetic state in terms of magnetic moment and electronic properties are largely modified. [ABSTRACT FROM AUTHOR]

Sr2IrO4, 5d-transition metal oxides, has very interesting and unique properties which comes in perovskite-based layered compounds. The structural distortion plays an important role in this material and also after doping at Ir - site, the distortion present in system will be affected with doped elements which can lead very interesting properties of this system. Both Ir4+ and V4+ have comparable ionic radii so there is no phase change and impurity is coming. The dielectric constant and dielectric loss decreased with increase in frequency. This system is also showing the thermally activated conduction. [ABSTRACT FROM AUTHOR]