Positive Value Research Articles

BARITS APP: SMART ASSISTANT SYSTEM TO FACILITATE THE LABELLING OF GOODS FOR MSME PLAYERS IN THE ERA OF DIGITAL ECONOMIC TRANSFORMATION

The labelling system that occurs in various stores is currently running well. However, most still use a manual system and to meet the needs of information on the price of goods requires a lot of time until costs are wasted for the labelling process on goods (Azizah, 2020). which explains that innovation can provide positive value for MSME actors. Labelling can be done digitally based on smartphones using an innovative application created by researchers in the form of "BARITS" (Barcode, Items, Scanner). BARITS is an application used to label goods in stores with the condition of scanning barcodes on these items. This application can be an easy solution for store owners to be more effective in the labelling process using only a smartphone.

Restricted Child Development: Child Labor from an Economic and Educational Perspective

The growth and well-being of children is a pressing global concern, and child labor remains a significant issue. Past research has highlighted the detrimental impact of child labor on physical, cognitive, and social development, due in part to the absence of positive social norms and values in these work environments. This situation is particularly concerning in light of the long-term implications for the future generations, as children who grow up working are often unable to receive a proper education or develop the necessary skills for successful adulthood. Therefore, taking the necessary measures to reduce child labor is crucial. This paper utilizes Merton's anomie theory to explain child labor, highlights the hazards of child labor on child development, discusses the relationship between education, economy, and child labor. The conclusions of this paper provide useful theoretical references and relevant recommendations for the formulation of relevant child protection policies and the help of anarchic organizations to implement them in different regions.

First principle investigation of structural, electronic, optical and thermoelectric properties of Chalcogenide Sr2GeX4(X=S, Se)

The electronic and optical properties of ternary-type chalcogenides are of great interest for solar energy conversion applications. In this study, we investigated the optical, electronic, and transport properties of Sr2GeX4 (X = S and Se) materials using first-principles calculations based on density functional theory. We found that these materials have a robust covalent bond nature and substantial band gaps. The density of states calculations revealed that the Sr-s and Ge-s states play a predominant role, while the S-s and S-p states have a minor influence. The optical properties of the materials are anisotropic, and they have significant UV absorption. The positive Seebeck coefficient values suggest that holes are the primary charge carriers in both materials. The study also discussed various other crucial thermoelectric parameters, which collectively suggest the suitability of these materials for thermoelectric applications. Overall, this study provides valuable insights into the optoelectronic and thermoelectric properties of Sr2GeX4 materials, which could significantly contribute to the development of efficient optoelectronic devices.

Investigation of T-stress and tensile strength effect on crack tip conditions and crack initiation angle in off-axis laminate composite

In this work, five different yield criteria have been used, maximum tangential stress (MTS), maximum energy release rate (MERR), Hill-48, Hill-90, and Barlat-93, in order to determine crack initiation angle. A study is performed to investigate the effect of T-stress on crack initiation angle. For this purpose, the elastic–plastic core region is plotted, and the R-criterion suggests that the crack initiates along local minimum (negative value) or global minimum (positive value) direction depending on the stress state at the crack tip. It is found that a negative value of T-stress makes the crack move toward the loading direction (T-axis), or in other words, the crack initiation angle decreases. It also turns out that MERR and Barlat criteria show a better result for crack initiation angle. The yield surface and elastic–plastic core region have also been plotted for different tensile strengths. For the case when transverse tensile strength equals to z-direction tensile strength, Hill-48, Hill-90, and Barlat show the same yield surface, and approximately, the same crack initiation angle. Also, when transverse tensile strength is smaller than longitudinal tensile strength, crack tends to move toward x-direction (local coordinate placed on crack tip). Finally, a FE simulation is performed to numerically determine SIFs.

Influence Of Service Quality And Facilities On The Satisfaction Of Guests Staying At The Chanti Semarang Hotel

The hospitality industry is a service sector that combines products and services, besides that the hospitality industry has other characteristics from the industry we are used to knowing where guests buy these services in the short term, this will be influenced by the physical or hotel facilities, and determine the location and quality effective service to provide satisfaction to every guest who visits or stays. This study aims to identify the effect of service quality and facilities on guest satisfaction at Chanti Hotel Semarang. From the results of SPSS calculations, a positive beta coefficient value of 1,222 is obtained with a positive value of 0,000 <0.05, so it can be concluded that the quality of service is the most dominant indicator of the variable facilities. From the results of the discussion, it can be concluded that emerged in this study, act Service quality has a positive and significant effect on guest satisfaction at Hotel Chanti Semarang. Facilities have a positive and significant effect on guest satisfaction at Hotel Chanti Semarang.

Relative Age and Positive Youth Development in Youth Sport: Do Developmental Assets Play a Role in Creating Advantage Reversals in Female Soccer?

Relative age effects (RAEs) are commonly associated with advantages for older athletes. However, a variety of benefits attributed to 'advantage reversals' have been observed among relatively younger professional athletes. Considering psychosocial development as a proposed mechanism, the purpose of this study was twofold: (1) To explore an association between developmental assets (i.e., facilitators of positive youth development [PYD]) and RAEs; (2) To assess whether overall developmental asset levels are protective against sport dropout. The Developmental Assets Profile© was distributed to members of a one-year cohort of post-adolescent, female soccer players from Ontario, Canada. The presence of differences between groups of relatively older (H1; n = 64) and younger (H2; n = 57) participants and developmental asset scales were assessed using discriminant analysis. A binary logistic regression was conducted to assess whether overall developmental asset levels are protective against sport dropout, with consideration of relevant factors. Findings suggest that relatively younger, female players score higher in two internal categories: commitment to learning and positive values. The overall developmental asset scores were not found to be protective against dropout. This study provides preliminary, albeit cautious, support that 'advantage reversals' may be in part associated with enhanced PYD resulting from developmental sport experiences.

Systematic pole-zero sorting method for neuro-TF modeling of electromagnetic response.

Neuro-transfer functions (neuro-TF) modeling method has been developed as one of the popular methods for parametric modeling of electromagnetic (EM) filter responses. The discontinuity issue of zero and pole data caused by extraction using vector fitting w.r.t. geometrical parameters change affects the neuro-TF training process and limits its modeling accuracy. This issue is addressed by this paper which proposes a novel systematic pole-zero sorting method for neuro-TF parametric modeling. The proposed method can obtain continuous pole-zero data which change much more smooth w.r.t. geometrical parameters change than the existing neuro-TF method, especially solves the difficulty of disorder of positive and negative values due to small values. The proposed systematic sorting method can substantially improve the modeling accuracy during the establishment and training of neuro-TF model over the existing neuro-TF method without systematic sorting.

Autoimmune disorders reported following COVID-19 vaccination: A disproportionality analysis using the WHO database.

Owing to adverse event following immunization (AEFI) related to autoimmune disorders and coronavirus disease 2019 (COVID-19) vaccines sharing common biological mechanisms, identifying the risk of AEFIs associated with COVID-19 vaccines remains a critical unmet need. We aimed to assess the potential safety signals for 16 AEFIs and explore co-reported adverse events (AEs) and drugs using the global database of the World Health Organization, VigiBase. We assessed the occurrence of 16 AEFIs following COVID-19 vaccination through the Standardized MedDRA Queries group "Immune-mediated/Autoimmune Disorders" from MedDRA and performed a disproportionality analysis using reporting odds ratio (ROR) and information component (IC) with 95% confidence intervals (CIs). We identified 25,219 events associated with COVID-19 vaccines in VigiBase. Although rare, we detected four potential safety signals related to autoimmune disorders following COVID-19 vaccination, including ankylosing spondylitis or psoriatic arthritis (ROR 1.86; 95% CI 1.53-2.27), inflammatory bowel disease (ROR 1.77; 95% CI 1.60-1.96), polymyalgia rheumatica (ROR 1.42; 95% CI 1.30-1.55), and thyroiditis (ROR 1.40; 95% CI 1.30-1.50), with positive IC025 values. The top co-reported AEs were musculoskeletal disorders, and immunosuppressants were the most representative co-reported drugs. In addressing the imperative to comprehend AEFI related to autoimmune disorders following COVID-19 vaccination, our study identified four potential safety signals. Thus, our research underscores the importance of proactive safety monitoring for the identification of the four AEFIs following COVID-19 vaccination, considering the associated advantages.

A series of auxetic metamaterials with negative thermal expansion based on L-shaped microstructures

Mechanical metamaterials are facing various multi-functional requirements. In this study, a series of auxetic metamaterials with enhanced negative thermal expansion and improved stiffness are proposed. These metamaterials consist of four novel L-shaped microstructures connected in various clockwise or counterclockwise directions. Two length ratios and four angle parameters are utilized to define the geometry of these metamaterials. Both analytical analysis and validated numerical homogenization methods are employed to determine their effective thermoelastic properties, including effective Young's modulus, Poisson's ratio, and coefficient of thermal expansion. It is demonstrated that tailoring these microstructural geometries can modulate the effective thermoelastic properties of these metamaterials accordingly. By appropriately tailoring the geometric parameters, these metamaterials exhibit increased effective stiffness as well as more pronounced auxeticity and negative thermal expansion compared to traditional triangle and trapezoid microstructures. Notably, the in-plane effective anisotropic or isotropic Poisson's ratio and coefficient of thermal expansion can be adjustable over a broader range from negative to positive values. High stiffness, High strength, and near-zero thermal expansion can be achieved concurrently in these metamaterials, which is very conducive for structural designing in thermal environments. These metamaterials with a coupled design of stiffness, thermal expansion, and Poisson's ratio hold significant potential for advancing applications in satellite platforms, space structures, composite sandwiches, and precision equipment.

Thermal degradation evaluation of polyethylene terephthalate microplastics: Insights from kinetics and machine learning algorithms using non-isoconversional TGA data

The thermal stability of polyethylene terephthalate (PET) microplastics (MPs) is crucial in diverse applications, necessitating a comprehensive understanding of their behavior under high temperatures. This study explores the impact of chemical modifications and aging on the thermal degradation of different PET MPs, including pristine (Pr-PET), acid-modified (Mod-PET), and oxidatively aged (Ag-PET), using kinetics, thermodynamics, and machine learning algorithms using non-isoconversional thermogravimetric analysis (TGA) data. The calculated activation energy (E) and pre-exponential factor (A) for Coats-Redfern model showed Pr-PET with highest E value of 21.09 and 15.24 kJ/mol for zero-order and first order kinetic model, indicating its increased energy requirement for chemical reactions, while Mod-PET and Ag-PET demonstrated improved thermal resistance with lower E values. Thermodynamic data from kinetic parameters showed positive values of Gibbs free energy (ΔG°), enthalpy (ΔH°) and negative values of entropy (ΔS°) (−0.17. kJ/mol·K to −0.20 kJ/mol·K) indicated non-spontaneous degradation process, necessitated energy input, and reduced disorder with decreased reactivity. For accurate predictions of thermal behavior, various machine learning algorithms, including Support Vector Machine (SVM), Decision Tree Regressor (DTM), Random Forest Regressor (RFM), and Artificial Neural Network (ANN), were utilized. The RFM consistently outperformed other models, exhibiting the lowest error metrics and providing reliable predictions of weight loss and derivative thermogravimetric (DTG) for different PET MPs with a predicted-R2 of 0.999. This study sheds light on the thermal stability of PET MPs, considering chemical modifications and aging. The integration of these methods offers a powerful approach to understanding and predicting PET MPs under thermal conditions.

Improvement of the Antioxidant and Antitumor Activities of Benzimidazole-Chitosan Quaternary Ammonium Salt on Drug Delivery Nanogels.

The present study focused on the design and preparation of acid-responsive benzimidazole-chitosan quaternary ammonium salt (BIMIXHAC) nanogels for a controlled, slow-release of Doxorubicin HCl (DOX.HCl). The BIMIXHAC was crosslinked with sodium tripolyphosphate (TPP) using the ion crosslinking method. The method resulted in nanogels with low polydispersity index, small particle size, and positive zeta potential values, indicating the good stability of the nanogels. Compared to hydroxypropyl trimethyl ammonium chloride chitosan-Doxorubicin HCl-sodium tripolyphosphate (HACC-D-TPP) nanogel, the benzimidazole-chitosan quaternary ammonium salt-Doxorubicin HCl-sodium tripolyphosphate (BIMIXHAC-D-TPP) nanogel show higher drug encapsulation efficiency and loading capacity (BIMIXHAC-D-TPP 93.17 ± 0.27% and 31.17 ± 0.09%), with acid-responsive release profiles and accelerated release in vitro. The hydroxypropyl trimethyl ammonium chloride chitosan-sodium tripolyphosphate (HACC-TPP), and benzimidazole-chitosan quaternary ammonium salt-sodium tripolyphosphate (BIMIXHAC-TPP) nanogels demonstrated favorable antioxidant capability. The assay of cell viability, measured by the MTT assay, revealed that nanogels led to a significant reduction in the cell viability of two cancer cells: the human lung adenocarcinoma epithelial cell line (A549) and the human breast cancer cell line (MCF-7). Furthermore, the BIMIXHAC-D-TPP nanogel was 2.96 times less toxic than DOX.HCl to the mouse fibroblast cell line (L929). It was indicated that the BIMIXHAC-based nanogel with enhanced antioxidant and antitumor activities and acidic-responsive release could serve as a potential nanocarrier.

Effectiveness of QRIS on Motor Vehicle Tax Payment Compliance through the Technology Acceptance Model (TAM) in West Nusa Tenggara

E-money transactions will increasingly be a substitute for cash. In Indonesia, QRIS is a popular digital payment system. One way to pay vehicle tax is through QRIS. Adoption of the use of technology as a government step in the resolution of tax arrears. The aim of this research is to identify the role of perceived convenience, perceived ulitity, and perceived credibility of QRIS in paying vehicle tax in West Nusa Tenggara. The research approach is quantitative, using the SEM-PLS method of analysis with SmartPLS 4.0 software. The population of this research is the tax payers who are using the QRIS in West Nusa Tenggara. The purposeful sampling method was used with 52 samples. The research results show that perceived convenience is negative and insignificant when paying vehicle tax. Then, the perceived ulitity and the perceived credibility show a positive and significant value for compliance with the payment of motor vehicle tax. This research finds that the taxpayers in West Nusa Tegggara who pay the vehicle tax using the QRIS payment method are influenced by the perceived ulitity and credibility.

Mechanical and dynamical stability, electronic, magnetic, and thermoelectric properties of RbBaX (X=Si and Ge) half-Heusler compounds

This research paper explores the structural, electronic, magnetic, elastic, dynamic, and thermoelectric properties of sp-based half-Heusler (HH) RbBaX ([Formula: see text] and Ge) compounds using density functional theory (DFT) and the full-potential linearized augmented plane wave (FP-LAPW) method within the WIEN2k software package. We evaluate the exchange correlation potential using two different approaches: The generalized gradient approximation (GGA) and the modified Becke–Johnson approach. We observe that RbBaX ([Formula: see text] and Ge) adopts a ferromagnetic configuration based on the analysis of total energy against volume. We establish that these alloys possess a genuine half-metallic character because of the full spin polarization observed at the Fermi level in their electronic spectrum. Both compounds under investigation have a total magnetic moment of 1.00[Formula: see text][Formula: see text]B, in agreement with the Slater–Pauling principle. The Born stability criteria for cubic structures and phonon dispersion patterns confirm the mechanical and dynamic stability of RbBaX ([Formula: see text] and Ge) alloys. The thermoelectric properties reveal a p-type semiconductor nature, characterized by significant positive Seebeck values. The thermoelectric figure of merit (ZT) calculated for both alloys at 300[Formula: see text]K approaches unity, highlighting their remarkable thermoelectric efficiency.

EKSPLORASI NILAI-NILAI KONSELING DALAM PERMAINAN TRADISIONAL GOBAK SODOR DI KABUPATEN BONDOWOSO

The gobak sodor game is a game played in groups, where the group of guards tries to block the attacking group when they want to pass through the game squares. The traditional game Gobak Sodor contains many positive values. The aim of this research is to explore the counseling values contained in the traditional game gobak sodor in Bondowoso Regency. This research uses qualitative research methods with an ethnographic type of research. From the research results, there are counseling values in the traditional game of gobak sodor in Bondowoso Regency, namely: spirituality, kinship, honesty, cooperation, strategy setting, leadership, social care, physical and mental health.

Higher-order circular intuitionistic fuzzy time series forecasting methodology: Application of stock change index

Abstract This article presents a higher-order circular intuitionistic fuzzy time series forecasting method for predicting the stock change index, which is shown to be an improvement over traditional time series forecasting methods. The method is based on the principles of circular intuitionistic fuzzy set theory. It uses both positive and negative membership values and a circular radius to handle uncertainty and imprecision in the data. The circularity of the time series is also taken into consideration, leading to more accurate and robust forecasts. The higher-order forecasting capability of this method provides more comprehensive predictions compared to previous methods. One of the key challenges we face when using the amount featured as a case study in our article to project the future value of ratings is the influence of the stock market index. Through rigorous experiments and comparison with traditional time series forecasting methods, the results of the study demonstrate that the proposed higher-order circular intuitionistic fuzzy time series forecasting method is a superior approach for predicting the stock change index.

Accuracy of merging scans of definitive fixed prosthodontic impressions to obtain single, accurate digitized master casts.

Many elastomeric impressions sent to commercial laboratory dental technicians may include marginal defects. To fabricate accurate restorations, digital technology may be used to merge digital files of defective impressions into a single standard tessellation language (STL) file free of errors. This would save clinicians and patients time and may improve clinical care. The purpose of this study was to compare the accuracy of digital master casts reconstructed from merged STL files of defective impressions with the file of the original defect-free preparations. Ivorine teeth on a dentoform were prepared to receive a posterior fixed dental prosthesis (FDP) with complete coverage preparations. An impression was made in a stock tray using polyvinyl siloxane (PVS) impression material and an extraoral scanner (E3, 3Shape, Denmark) was used to digitize the impression; this was the reference cast. Wax was used to create defects on the buccal and lingual margins of the preparations. Fifteen PVS impressions were made of the FDP preparations with defects in the mesial and distal margins; another set of 15 PVS impressions was made of FDP preparations with defects in the buccal and palatal margins for a total of 30 impressions. All impressions were digitized using the same extraoral scanner (E3, 3Shape, Denmark). Corresponding STL files were paired and merged, and a master cast was created by eliminating the defects using the scanned data. This master cast was compared to the reference cast using reverse engineering software (Geomagic, Morrisville, NC, USA). The results were expressed as average errors and standard deviations in the master casts relative to the reference cast. To account for the presence of positive and negative values in the data set, in terms of errors, the root mean square (RMS) value was calculated for each sample. The mean average error in the sample was -0.4 μm. The average upper limit of 95% confidence interval was +36.5 μm, while the average lower limit of 95% confidence interval was -37.3 μm. The mean RMS of the errors found was 18.9 μm. The results of this study indicated that merging digitized definitive impressions to correct marginal defects resulted in master casts with a high level of accuracy relative to the reference cast.

Re-evaluation of a geothermal system model based on high-resolution gravity field inversion: A case study of the Maritaing geothermal field, Alor Regency, East Nusa Tenggara Province, Indonesia

The Maritaing region in East Nusa Tenggara Province, Indonesia, offers significant geothermal potential for direct power generation and use. This study aims to re-evaluate the geothermal system model in the Maritaing geothermal field using high-resolution gravity inversion. High-resolution gravimetric data were collected using satellite observations and data processing techniques, allowing a better understanding of the subsurface geological structure and density distribution of rocks associated with the geothermal reservoir. This study applied data corrections to acquire complete Bouguer anomalies, gravity gradient analysis to detect geological structures, and inversion modeling of residual gravity anomalies to predict subsurface rock density distribution. The complete Bouguer anomalies exhibit positive values ranging from 70 to 140 mGal and have a northwest–southeast orientation, indicating the existence of andesitic lava and pyroclastic volcanic rocks. Gravity gradient analysis determines the geological structures, such as faults or fractures, used as conduits to create Kura Hot Springs. The model provides useful insights into geological occurrences, such as faults, rock layers, and reservoir accumulations that support geothermal fluids. Based on the present study’s findings, we provide recommendations for developing and managing geothermal resources in the Maritaing area.

PROVIDING COMPENSATION & REWARDS FOR GOOD PERFORMANCE

In a company or organization, one of the most important elements is maintaining relationships between each other both between workers and to superiors, because a good work environment will bring performance to be more controllable and bring the work environment to be productive, this is what makes good performance in a company or organization. Several things can bring good performance as in this study which discusses Compensation and an Award to a worker for his performance which is classified as entering a good work stage so that efforts to provide compensation and awards make positive efforts and bring progress to the performance of workers in a company or organization and bring competence in the world of work. Compensation provided by the employer will bring workers to be more responsible in meeting work standards and the award is given as a reward for performance that has met operational standards for the company. The results of this study indicate that providing compensation and awards to a worker can bring positive value and can even improve the performance of these workers, where workers will become more enthusiastic in working and can even increase the value of the company, agency and even the organization where the worker works and the award shows that the worker has an achievement for good performance. Keywords: Compensation, Awards, Worker Performance.

Kinetic and Thermodynamic Studies of Precious Metals Sorption on Impregnated Lewatit VP OC 1026 from Chloride Solutions.

Precious metals are used in many branches of industries. Due to their rarity and diminishing natural resources, more and more new methods are being sought to recover them from secondary sources, which can be electronic waste or spent car exhaust converters. This paper presents the research on the recovery of precious metals from chloride solutions using the Aliquat 336-impregnated Lewatit VP OC 1026 sorbent. The study used a warm impregnation method without toxic solvents, which is beneficial for the environment. The maximal sorption capacities obtained for model solutions in 0.1 M HCl were: 95.6 mg/g for gold, 38.2 mg/g for palladium, and 36.2 mg/g for platinum. There were studied: kinetics and thermodynamics of sorption, as well as amounts of the sorbent, effects of phase contact time and HCl concentration on the sorption of precious metals. Positive values of enthalpy change ΔH° validate that the process is endothermic. The research was also carried out on a real leaching solution obtained by digesting a spent catalytic converter, containing small amounts of platinum group metals. Desorption of precious metal ions was conducted using 1 M thiourea in 1 M hydrochloric acid. The obtained impregnated sorbent proved to be effective for sorption of Au(III), Pd(II), Pt(IV) ions.

Diagnostic Performance of Diastolic Hyperemia-Free Ratio Compared With Invasive Fractional Flow Reserve for Evaluation of Coronary Artery Disease

Hyperemic and nonhyperemic pressure ratios are frequently used to assess the hemodynamic significance of coronary artery disease and to guide the need for myocardial revascularization. However, there are limited data on the diagnostic performance of the diastolic hyperemia-free ratio (DFR). We evaluated the diagnostic performance of the DFR compared with invasive fractional flow reserve (FFR). We performed a prospective, single-center study of 308 patients (343 lesions) who underwent DFR and FFR for evaluation of visually estimated 40% to 90% stenoses. Diagnostic performance of the DFR compared with FFR was evaluated using linear regression, Bland-Altman analysis, and receiver operating characteristic curves. The overall diagnostic accuracy of the DFR was 83%; the accuracy rates were 86%, 40%, and 95% when the DFR was <0.86, 0.88 to 0.90, and >0.93, respectively. The sensitivity, specificity, positive predicative value, and negative predictive value were 60%, 91%, 71%, and 87%, respectively. The Pearson correlation coefficient was 0.75 (p <0.05). The Bland-Altman analysis showed a mean difference of 0.09, and the area under the receiver operating characteristic curve was 0.88 (95% confidence interval 0.84 to 0.92, p <0.05). In conclusion, the DFR has a good diagnostic performance compared with FFR but 17% of the measurements were discordant. The diagnostic accuracy of the DFR was only 40% when the DFR was 0.88 to 0.90, suggesting that FFR may be useful in these arteries.