bluuebunny/crossref_metadata_2025 huggingface dataset:
Motivasi Sebagai Variabel Mediasi Kompensasi terhadap Kinerja UMKM: Studi Kasus pada Sentra Industri Tempe dan Keripik Tempe Sanan
Authors: Wahyuni Sri , Illu Abraham Ruylthon
Published: February 2024

This study specifically tries to see the effect of compensation on the employee performance of MSMEs with motivation as a mediating variable at the Sanan Tempe Chips Industry Center. The method in this study is a type of quantitative research using Structural Equation Modeling (SEM) analysis with the WarpPLS approach. This study also uses the Sobel Test to analyze the significant value of the indirect relationship between compensation and employee performance mediated by motivation. In-depth interviews using questionnaires and direct observation were conducted to obtain primary research data. Meanwhile, secondary data was obtained through literature studies from various sources related to the research. A total of 60 respondents were selected as samples in this study using a simple random sampling technique. The results showed that the motivation variable had a significant effect as a mediating variable on the relationship between compensation and employee performance. This means that compensation has an indirect effect on employee performance through motivation.
Efisiensi Teknis Usahatani Padi Organik Di Provinsi Lampung
Authors: Lestari Sri Puji , Handayani Sri , Aryani Eka , Kristina Maria
Published: February 2024

A healthy lifestyle is related to food consumption patterns, namely consuming organic food. One of the most commonly consumed organic food commodities is organic rice. Organic food products are cultivated without the use of chemicals. Changes in people's consumption patterns have led to an increase in demand for organic rice. However, at present, the productivity of organic rice farming is still low when compared to the productivity of conventional rice farming. The low productivity is thought to be caused by the inefficient allocation of production factors. This study aims to analyze the factors that affect organic rice production, examine whether organic rice farming in Lampung Province has been technically efficient, and find out what factors cause technical inefficiency in organic rice farming in Lampung Province. The location of this research is Beringin Kencana Village, Candipuro District, South Lampung Regency, and Purwokencono Village, Sekampung Udik District, East Lampung Regency in July-August 2022. Sampling was carried out by census. The research method used is the Stochastic Frontier Cobb-Douglas production function. The results showed that the factors that affect the production of organic rice are land area, the number of seeds, and the use of organic pesticides. The average level of technical efficiency is 0.91. Factors that affect technical inefficiency are the age of the farmer, farming experience, and participation in extension.
Perubahan Sosial Akibat Perkembangan Pariwisata Pantai Di Dusun Karanggongso, Desa Tasikmadu, Kabupaten Trenggalek
Authors: Nikmah Marifatul , Hidayat Kliwon , Susilo Edi
Published: February 2024

Resources that have been provided by nature have a potential to be developed to support human life. One of them is the coastal area that can be developed, namely Karanggongso Beach in trenggalek. This research examines social change that occurs as a result of development of tourism on Karanggongso Beach. The rapid development of tourism brings many changes to the condition of society (Ini yang berubah kebiasaan? Kalo iya tambahin habit dibelakangnya). This research focused on social change that occurred in 2010 - 2020 in line with the development of tourism in Karanggongso beach. This research uses a qualitative approach. Data collection methods used in this research are interview, observation, and documentation. The results show tourism changes occurred since Karanggongso became accessible to local or non-local tourists.Changes that occur due to the existing facilities such as infrastructure improvement, attraction, various tourist rides, various photo spots, good kiosk arrangement and adequate sanitation. Due to facilities and infrastructures, attracted visitors, thereby causing cultural, interactional, and structural changes. Social changes that happen namely diversification of livelihood, division of labor, hospitality, education, language, lifestyles, and interaction with nature. Those changes can affect the sustainability of tourism and the condition of the community in the future so it needs to be guided and managed properly by all related parties.
Arts in Health in the Netherlands: A national agenda
Authors: Lewis Ferdinand , Krans Kirsten
Published: February 2024

Arts in health is the field that advances the use of artistic practices for health and well-being, to stimulate a positive approach to health. While arts in health fields have been successfully established in other countries, the Dutch field is still fragmented, and its potential has not been fully developed. This white paper is an intersectoral effort exploring the current state of arts in health in the Netherlands. The authors strongly believe that arts in health can help navigate challenges faced by our healthcare system in the coming decades, and we have formulated an agenda to establish a sustainable Dutch arts in health field.
Umjetna inteligencija i obrazovanje
Authors: Mrnjaus Kornelija , Vrcelj Sofija , Kušić Siniša
Published: February 2024

Sposobnost stroja da demonstrira određenu razinu inteligencije i obavlja funkcije koje zahtijevaju ljudske sposobnosti navodi se kao ključno obilježje umjetne inteligencije. Trenutačno se umjetna inteligencija razvija i širi velikom brzinom s tendencijom mijenjanja načina na koje se uči i podučava. Primjena umjetne inteligencije u obrazovanju može se pratiti od uporabe računala, što znači da ima razmjerno dugu povijest. U obrazovnim se institucijama primjenjuje na različite načine, kao što su automatizacija administrativnih procesa i zadataka, razvoj kurikula i obrazovnih materijala te za potrebe unaprjeđivanja podučavanja i olakšavanja procesa učenja. Razvojem tehnologije i jačom procesnom moći računala posljednjih nekoliko godina, umjetna se inteligencija počinje razvijati nevjerojatnom brzinom. Unatoč tome, u nacionalnom kontekstu tek je nekoliko objavljenih radova o toj temi. Svrha je ovoga rada predstaviti potencijale i (etičke) izazove primjene umjetne inteligencije u obrazovanju, njezin utjecaj na podučavanje i mogućnosti da zamijeni učitelje. Da bi se identificiralo trenutačno stanje i razumio utjecaj i mogućnosti primjene umjetne inteligencije u obrazovanju, sustavno je pregledana i analizirana dostupna i relevantna literatura.
Understanding Gaps in the Hypertension and Diabetes Care Cascade: Systematic Scoping Review (Preprint)
Authors: Wang Jie , Tan Fangqin , Wang Zhenzhong , Yu Yiwen , Yang Jingsong , Wang Yueqing , Shao Ruitai , Yin Xuejun
Published: February 2024

BACKGROUND

Hypertension and diabetes are global health challenges requiring effective management to mitigate their considerable burden. The successful management of hypertension and diabetes requires the completion of a sequence of stages, which are collectively termed the care cascade.

OBJECTIVE

This scoping review aimed to describe the characteristics of studies on the hypertension and diabetes care cascade and identify potential interventions as well as factors that impact each stage of the care cascade.

METHODS

The method of this scoping review has been guided by the framework by Arksey and O’Malley. We systematically searched MEDLINE, Embase, and Web of Science using terms pertinent to hypertension, diabetes, and specific stages of the care cascade. Articles published after 2011 were considered, and we included all studies that described the completion of at least one stage of the care cascade of hypertension and diabetes. Study selection was independently performed by 2 paired authors. Descriptive statistics were used to elucidate key patterns and trends. Inductive content analysis was performed to generate themes regarding the barriers and facilitators for improving the care cascade in hypertension and diabetes management.

RESULTS

A total of 128 studies were included, with 42.2% (54/128) conducted in high-income countries. Of them, 47 (36.7%) focused on hypertension care, 63 (49.2%) focused on diabetes care, and only 18 (14.1%) reported on the care of both diseases. The majority (96/128, 75.0%) were observational in design. Cascade stages documented in the literature were awareness, screening, diagnosis, linkage to care, treatment, adherence to medication, and control. Most studies focused on the stages of treatment and control, while a relative paucity of studies examined the stages before treatment initiation (76/128, 59.4% vs 52/128, 40.6%). There was a wide spectrum of interventions aimed at enhancing the hypertension and diabetes care cascade. The analysis unveiled a multitude of individual-level and system-level factors influencing the successful completion of cascade sequences in both high-income and low- and middle-income settings.

CONCLUSIONS

This review offers a comprehensive understanding of hypertension and diabetes management, emphasizing the pivotal factors that impact each stage of care. Future research should focus on upstream cascade stages and context-specific interventions to optimize patient retention and care outcomes.
Ascertaining Out-of-Pocket Costs of Dementia Care: Feasibility Study of a Web-Based Weekly Survey (Preprint)
Authors: Dawson Walter D , Mattek Nora , Gothard Sarah , Kaye Jeffrey , Lindauer Allison
Published: February 2024

BACKGROUND

Caring for a family member living with dementia is costly. A major contributor to care demands, and therefore to the costs, are the behavioral symptoms of dementia. Here, we examine the feasibility of ascertaining costs related to caregiving from weekly web-based surveys collected during a telehealth-based behavioral intervention study—Support via Technology: Living and Learning with Advancing Alzheimer Disease.

OBJECTIVE

This study aims to determine the feasibility and acceptability of using a web-based weekly survey to capture real-time data on out-of-pocket caregiving expenses and time commitments associated with dementia care. To examine relationships between behavioral symptoms, care partner reactivity, burden, and out-of-pocket dementia care costs.

METHODS

Feasibility was measured by accrual, retention, and data completion by participating care partners. Behavioral symptoms, care partner reactivity, and burden were collected before and after the intervention from 13 care partners. Weekly web-based surveys queried Support via Technology: Living and Learning with Advancing Alzheimer Disease care partners about their out-of-pocket costs associated with care-related activities. The surveys included questions on out-of-pocket costs care partners incurred from hospitalizations and emergency department use, primary care provider visits, use of paid in-home care or respite services, use of prescription medications, and use of over-the-counter medications. The surveys also queried the amount of time care partners devoted to these specific care–related activities.

RESULTS

Out-of-pocket costs of dementia care were collected via a web-based weekly survey for up to 18 months. In-home assistance was the most frequently reported type of out-of-pocket care expense and the costliest. care partners who paid for in-home assistance or respite reported more behavioral and psychological symptoms of dementia behaviors, higher reactivity, and higher burden than those who did not.

CONCLUSIONS

This novel web-based weekly survey–based approach offers lessons for designing and implementing future cost-focused studies and care partner–supportive telehealth-based interventions for Alzheimer disease and related dementias (ADRD). The results correspond with the existing understanding of ADRD in that high family-related out-of-pocket costs are a typical part of the caregiving experience, and those costs likely increase with dementia severity. The results may also offer potential insights to health systems and policy makers as they seek to implement telehealth-based and related interventions that seek to better support people living with ADRD and their family care partners.

CLINICALTRIAL

ClinicalTrials.gov NCT04335110; https://clinicaltrials.gov/ct2/show/NCT04335110
Natural Language Processing–Powered Real-Time Monitoring Solution for Vaccine Sentiments and Hesitancy on Social Media: System Development and Validation (Preprint)
Authors: Huang Liang-Chin , Eiden Amanda L , He Long , Annan Augustine , Wang Siwei , Wang Jingqi , Manion Frank J , Wang Xiaoyan , Du Jingcheng , Yao Lixia
Published: February 2024

BACKGROUND

Vaccines serve as a crucial public health tool, although vaccine hesitancy continues to pose a significant threat to full vaccine uptake and, consequently, community health. Understanding and tracking vaccine hesitancy is essential for effective public health interventions; however, traditional survey methods present various limitations.

OBJECTIVE

This study aimed to create a real-time, natural language processing (NLP)–based tool to assess vaccine sentiment and hesitancy across 3 prominent social media platforms.

METHODS

We mined and curated discussions in English from Twitter (subsequently rebranded as X), Reddit, and YouTube social media platforms posted between January 1, 2011, and October 31, 2021, concerning human papillomavirus; measles, mumps, and rubella; and unspecified vaccines. We tested multiple NLP algorithms to classify vaccine sentiment into positive, neutral, or negative and to classify vaccine hesitancy using the World Health Organization’s (WHO) 3Cs (confidence, complacency, and convenience) hesitancy model, conceptualizing an online dashboard to illustrate and contextualize trends.

RESULTS

We compiled over 86 million discussions. Our top-performing NLP models displayed accuracies ranging from 0.51 to 0.78 for sentiment classification and from 0.69 to 0.91 for hesitancy classification. Explorative analysis on our platform highlighted variations in online activity about vaccine sentiment and hesitancy, suggesting unique patterns for different vaccines.

CONCLUSIONS

Our innovative system performs real-time analysis of sentiment and hesitancy on 3 vaccine topics across major social networks, providing crucial trend insights to assist campaigns aimed at enhancing vaccine uptake and public health.
A participatory model for co-creating accessible rehabilitation technology (Preprint)
Authors: Kerr Andrew , Grealy Madeleine , Slachetka Milena , Wodu Chioma , Sweeney Gillian , Boyd Fiona , Rowe Philip
Published: February 2024

BACKGROUND

Globally, one in three people live with health conditions that could be improved with rehabilitation. Ideally this is provided by trained professionals delivering evidence based levels of dose, intensity and content, for optimal recovery. The inability of healthcare providers to deliver this, creates an opportunity for technological innovation. Design processes that lack close consideration of users’ needs and healthcare budgets, however, mean that many rehabilitation technologies are neither useful, nor used.

OBJECTIVE

To develop a model for designing accessible rehabilitation technology using a co-creation approach that is informed by users who have completed, or are completing, an eight-week technology based rehabilitation programme.

METHODS

To address this problem our multi-disciplinary research group established a co-creation centre for rehabilitation technology that places the user at the centre of the innovation process. The core of this model is an eight-week holistic rehabilitation programme delivered exclusively through commercial and prototype technology so that users are able to provide truly informed feedback on technologies under development, as well as creating an observatory to better understand how patients interact with rehabilitation technologies. The process is supported by focus groups for product development and a translation group advising on broader issues of adoption. As the leading cause of global adult disability, the target population for the centre has been stroke, however the principles can be applied to any clinical population.

RESULTS

Our model has been active for more than two years with 80/86 individuals completing the programme. Five new devices have emerged from the process with further ideas logged for future development. In addition, it has led to accessibility modifications to existing technology, including modifications to hand grips and the structure of rehabilitation games. Critically it has also produced a set of co-created protocols for technology enriched rehabilitation that has allowed us to replicate the model on an acute stroke ward.

CONCLUSIONS

Sub-optimal rehabilitation limits recovery from health conditions. Technology offers support to increase access to intensive and enriched rehabilitation, but needs to be designed to suit users and not just their impairment. Our co-creation model, built around participation in an intensive, technology-based programme, has produced new accessible technology and demonstrated the feasibility of our overall approach to providing the rehabilitation that people need, for as long as needed.
Regression Derivatives and Their Application in the Study of Magnetic Storms
Authors: Agayan S , Bogoutdinov Shamil , Sidorov Roman , Soloviev Anatoly , Kamaev Dmitry , Aleksanyan Andron , Dzeranov B
Published: February 2024

Discrete Mathematical Analysis (DMA) is a data analysis method that uses fuzzy mathematics and fuzzy logic. DMA involves the active participation of the researcher in the study of records, offering technologies and algorithms for analyzing records through the properties of interest to the researcher. In the present work, such properties are related to regression derivatives, and the results obtained are applied to magnetic records. The possibilities of the method in the morphological analysis of geomagnetic storms are demonstrated on the example of three strongest storms that have occurred since the beginning of the current 25th solar cycle.
STUDY OF ACTIVE ISOLATED COMPOUNDS FROM SUNGKAI LEAF (PERONEMA CANESCENS JACK) AS IMMUNOSTIMULANT FROM EXPOSURE OF THE SARS-COV-2 VIRUS ANTIGEN TO NATURAL KILLER CELLS
Authors: DILLASAMOLA DWISARI , ALDI YUFRI , WAHYUNI FATMA SRI , RITA RAUZA SUKMA , ALEN YOHANNES , DACHRIYANUS
Published: February 2024

Objective: SARS-CoV-2 is an illness that attacks the respiratory tract's alveoli lining cells. One approach to tackling it is to strengthen the immune system of the body, which has an organ specifically dedicated to defending against diseases. Among the key components of the body's immune system that defend against the SARS-CoV-2 virus are Natural Killer (NK) cells. Sungkai (Peronema canescens Jack) is a plant commonly used by communities to boost their immunity. The aim of this study was to examine the activity and characterization results of Sungkai leaves on Natural Killer cells.

Method: Sungkai powder was extracted using a 70% ethanol solvent and evaporated using a rotary evaporator. It was then fractionated using n-Hexane and evaporated using a rotary evaporator to obtain a thick fraction. The thick fraction was then chromatographed, resulting in two isolated compounds that were tested in vivo for their immunostimulatory activity using mice as test animals with ethical approval (405/UN.16.2/KEP-FK/2021).

Results: The study consisted of five groups, including a normal group and four other groups of white mice that had been exposed to the SARS-CoV-2 virus antigen Moderna vaccine 0.0013 ml.

Conclusion: The results showed that stigmasterol was more effective than Bis(2-ethylhexyl) phthalate in increasing Natural Killer cells' immunostimulant activity.
PREPARATION OF SPRAY-DRIED MULTICOMPONENT CRYSTALS OF TRIMETHOPRIM-MANDELIC ACID AND ITS PHYSICOCHEMICAL CHARACTERIZATION
Authors: FITRIANI LILI , SHINTANIA DENANDA , USMAN HENDRIZAL , HASANAH USWATUL , ZAINI ERIZAL
Published: February 2024

Objective: Trimethoprim is a wide-spectrum antimicrobial compound belonging to Class II of the Biopharmaceutics Classification System (BCS), with high permeability but low solubility. This study aimed to prepare a multicomponent crystal (MCC) of trimethoprim-mandelic acid to enhance the solubility of trimethoprim.

Methods: MCC trimethoprim–mandelic acid was prepared by spray drying technique. Solid-state characterizations were performed by using PowX-ray diffraction (PXRD), Differential Scanning Calorimetry (DSC), Fourier-transform infrared (FT IR) spectroscopy, Scanning Electron Microscopy (SEM), and polarized microscopy. The solubility test was performed in distilled water. The amount of dissolved trimethoprim was analyzed by High-Performance Liquid Chromatography (HPLC) using acetonitrile and phosphoric acid 1 % (10:90 v/v) as the mobile phase.

Results: MCC characterizations showed a different diffraction pattern from its intact materials according to PXRD analysis, a decrease in the melting point in the DSC thermogram, a shift of the wave number in the FT-IR spectra, and a new crystalline habit compared to the intact materials was presented by SEM analysis. The MCC also showed the color of interference under polarized microscopy, indicating the crystalline phase. The solubility of trimethoprim in MCC increased significantly by 3.98 times in comparison to intact trimethoprim.

Conclusion: The MCC trimethoprim-mandelic acid by spray drying technique enhanced the solubility of trimethoprim.
TENOXICAM-TROMETHAMINE MULTICOMPONENT CRYSTAL: PHYSICOCHEMICAL CHARACTERISTICS, SOLUBILITY, AND DISSOLUTION EVALUATION
Authors: HASANAH USWATUL , AZFITRI YESICA , FITRIANI LILI , ZAINI ERIZAL
Published: February 2024

Objective: Tenoxicam is classified as a nonsteroidal anti-inflammatory drug employed for managing musculoskeletal conditions. However, its effectiveness is obstructed by its restricted ability to dissolve in water. This investigation aims to create a multicomponent crystal involving tenoxicam and tromethamine to augment tenoxicam's solubility and dissolution rate.

Methods: Using the solvent drop grinding technique, the multicomponent crystal was synthesized by combining tenoxicam and tromethamine in equimolar proportions. The physicochemical properties of multicomponent crystal were assessed through powder X-ray diffraction (PXRD), differential scanning calorimetry (DSC), and FT-IR spectroscopy. Solubility test and dissolution rate profile were conducted to evaluate the effectiveness of multicomponent crystal formation in compared to intact tenoxicam. The solubility test occurred in CO2-free distilled water over 48 h and was quantified using UV spectrophotometry at 368 nm. Dissolution rate profiles were conducted using a USP type II dissolution apparatus in HCl 0.1 N, and CO2-free distilled water as the dissolution media.

Results: The multicomponent crystal displayed distinctive characteristics in the diffractogram, including altered melting points, and shifts in the FT-IR spectrum peaks. Within the multicomponent crystal system, the solubility of tenoxicam exhibited a notable increase, specifically by a factor of 11.130. Moreover, the dissolution efficiency of tenoxicam in HCl 0.1 N solution and CO2-free distilled water showed substantial enhancements, with respective increases of 2.600-fold and 8.605-fold observed at the 60-minute mark.

Conclusion: In conclusion, the tenoxicam and tromethamine multicomponent crystal formation using a solvent drop grinding technique resulted in a novel crystalline structure, enhancing the solubility and dissolution of tenoxicam both in CO2-free distilled water and HCl 0.1 N.
CURCUMA AERUGINOSA ROXB. EXTRACT INHIBITS THE PRODUCTION OF PROINFLAMMATORY CYTOKINES ON RAW 264.7 MACROPHAGES
Authors: DEWI IRENE PUSPA , DACHRIYANUS  , ALDI YUFRI , ISMAIL NOR HADIANI , HEFNI DIRA , SUSANTI MERI , SYAFRI SURYATI , WAHYUNI FATMA SRI
Published: February 2024

Objective: The study explores the potential of Curcuma aeruginosa Roxb. extract for anti-inflammatory properties.

Methods: Curcuma aeruginosa Roxb. simplicia was macerated with distilled ethanol. In vitro testing was done on Raw 264.7 macrophages to fulfill this aim by observing Tumor Necrosis Factor (TNF)-α, Interleukin (IL)-6 production and phagocytosis activity. The production of IL-6 and TNF-α were determined using the ELISA method while phagocytosis activity using the neutral red uptake method.

Results: The results showed that Curcuma aeruginosa Roxb. extract inhibited production of TNF-α and IL-6 and phagocytic activity and on Raw 264.7 macrophages.

Conclusion: The results demonstrated that Curcuma aeruginosa Roxb. extract could be developed as an anti-inflammatory, which can be improved as a novel pharmaceutical approach for treating inflammation-related illness.
INCREASED DISSOLUTION RATE OF ACECLOFENAC BY FORMATION OF MULTICOMPONENT CRYSTALS WITH L-GLUTAMINE
Authors: JESSICA ADHITYA , YASA SIRLY WAHYUNI N. , ZAINI ERIZAL , FITRIANI LILI
Published: February 2024

Objective: The objectives of this research were to improve the solubility as well as the rate of dissolution of aceclofenac (ACF) through the formation of multicomponent crystals (MCC) with L-glutamine (LGLN) as a coformer and following the liquid-assisted grinding (LAG) technique.

Methods: MCC of ACF and LGLN was formed by Liquid Assisted Grinding (LAG) technique. Powder X-ray Diffractometer (PXRD), Differential Scanning Calorimeter (DSC), Fourier Transform Infrared (FT-IR) spectrometer, Particle Size Analyzer (PSA), and Scanning Electron Microscope (SEM) were used for MCC characterization. Solubility and dissolution test were determined using ultraviolet-visible (Uv-Vis( spectrophotometer.

Results: The results showed a decrease in the diffraction peak intensity, melting point, and enthalpy of fusion. FT-IR analysis showed a non-significant wavenumber shift compared to intact components. These characterizations showed that MCC formed a eutectic mixture. SEM and particle size analysis showed a homogeneous particle rod shape and decreased particle size. ACF's solubility in MCC increased 2.21 times more than intact form. MCC's dissolution rate increased by 5.34 times and 5.56 times, respectively, after 60 min in phosphate buffer pH 6.8 and CO2-free distilled water.

Conclusion: The formation of MCC of ACF and LGLN considerably enhances ACF's solubility and dissolution rate.
COST-EFFECTIVENESS OF METFORMIN-GLIMEPIRIDE COMBINATION COMPARED TO SINGLE METFORMIN USE IN DECREASING 2 H POST PRANDIAL BLOOD GLUCOSE
Authors: FITRIA NAJMIATUL , ANDELA MILA , RERITA RESNA , NASIF HANSEN
Published: February 2024

Objective: Complications related to diabetes could reduce the quality of life. In Indonesia, the costs incurred for diabetes mellitus annually will increase as complications of the disease increase. This study explored the cost-effectiveness therapy of metformin-glimepiride combination on post-prandial blood glucose. Methods: Glimepiride is added to the first category for diabetes mellitus receiving metformin to improve blood sugar levels and reduce costs. An observational study was conducted retrospectively to analyze post-prandial blood sugar levels with the total direct medical costs at Universitas Andalas Hospital. The study involved 114 medical records of patients referred during 2021. The combination of Metformin HCL and Glimepiride was compared to Metformin alone in measuring cost and effect parameters. The categorical dependent-independent groups were statistically analyzed using Chi-square, while the cost and effect parameters were calculated to get the Incremental Cost-Effectiveness Ratio (ICER) value. Results: There were no significant differences between groups on sociodemographic characteristics (p<0.05). An incremental cost value of IDR 43,291 was obtained for reducing post-prandial blood sugar by 21.92 mg/dl. Conclusion: Increasing cost and effect parameters require further analysis to determine the trade-off point.
THE EFFECT OF CATECHINS FROM PURIFIED GAMBIER (UNCARIA GAMBIR ROXB.) AND VITAMIN C ON MALONDIALDEHYDE (MDA) LEVELS OF MALE WHITE MICE AFTER PHYSICAL ACTIVITY
Authors: YOSMAR RAHMI , PUTRI AYU AMELIA , A. ALMAHDY
Published: February 2024

Objective: The aim of this study was to assess the impact of catechins from purified gambier and vitamin C on the MDA levels of male white mice following maximum physical activity.

Methods: This research employed an experimental approach using a Post Test Only Control Group Design with male white mice. The interventions included purified gambir catechin and vitamin C alongside physical fatigue-inducing activity. The primary focus was assessing serum MDA levels in these mice, measured using the Thiobarbituric Acid Reactive Substance (TBARS) method. The test subjects were divided into five groups and average serum MDA levels were measured in each group, followed by an analysis checking for normal distribution and homogeneity. Subsequently, One Way Analysis of Variance (ANOVA) was conducted. If significant differences were observed among the groups, further analyses were performed with a significance level of p<0.05. All tests maintained a confidence level of 95% (α = 0.05).

Results: The average serum MDA values for the treated groups were 1.63 nmol/ml for the negative control, 2.47 nmol/ml for the positive control, 1.75 nmol/ml for purified gambier catechin 200 mg/kgBW, 1.93 nmol/ml for Vitamin C 65 mg/kgBW, and 1.65 nmol/ml for purified gambier catechin 100 mg/kgBW and vitamin C 32.5 mg/kgBW. Based on the Kruskal-Wallis test analysis, there was a significant difference in serum MDA levels (p<0.05) with a significance value of 0.004 of each group. However, the Mann-Whitney test showed that the negative control group significantly differed from the positive control group and there was a significant difference between the positive control and the treatment groups.

Conclusion: The administration of catechins from purified gambier and vitamin C reduced MDA levels following maximum physical activity. Further study is recommended to investigate the efficacy of various antioxidants and their combinations in reducing MDA levels.
RAPID DETECTION OF RAT MEAT ADULTERATION IN BEEF SAUSAGES USING FTIR‑ATR SPECTROSCOPY AND CHEMOMETRICS FOR HALAL AUTHENTICATION
Authors: LESTARI DWI , SYAMSUL EKA SISWANTO , WIRNAWATI  , SYAFRI SURYATI , SYOFYAN SYOFYAN , ROHMAN ABDUL , YULIANA NANCY DEWI , ABU BAKAR NOR KARTINI BT. , HAMIDI DACHRIYANUS
Published: February 2024

Objective: The objective of this study was to employ Fourier Transform Infrared-Attenuated Total Reflectance (FTIR‑ATR) spectroscopy in combination with chemometrics for the analysis of rat meat adulteration in beef sausages.

Methods: Lipid components in sausages were extracted using three extraction methods, namely Bligh and Dyer, Folch, and Soxhlet methods. The lipid components extracted were then analysed using FTIR‑ATR spectroscopy, and their spectra obtained were used as variables during chemometrics modeling. Samples were prepared by mixing beef with adulterant of rat meat in the concentration range of 0-100% of rat meat. Each sample was scanned using FTIR-Attenuated Total Reflectance (ATR) spectroscopy in three replicates at 4000-650 cm-1 wavenumber region.

Results: The absorbance values at wavenumbers regions of 3100-700 cm-1 were used to discriminate lipid components extracted by the Bligh Dyer, Folch, and Soxhlet Method with an accuracy level of 100%. The prediction of rat sausages was successfully determined using multivariate calibrations of Partial Least Square (PLS) and Principle Component Regression (PCR) using optimised conditions.

Conclusion: FTIR-ATR spectroscopy coupled with chemometrics is a rapid and accurate method for detecting and quantifying rat meat in beef sausages for halal authentication.
LIVER FUNCTIONS PROFILE OF TUBERCULOSIS PATIENTS IN INDONESIA DURING ANTITUBERCULOSIS TREATMENT
Authors: DA PERWITASARI , D. SETIAWAN , T. SAFARIA , H. DANIA , IN FARIDAH , LM IRHAM
Published: February 2024

Objective: The objective of this study is to define the profile of liver function of tuberculosis patients during the treatment. Methods: We conducted the longitudinal study with adult tuberculosis patients treated with the first line of antituberculosis as the inclusion criteria. The pregnant and patients with comorbidities which related to liver function were excluded. We measured the total bilirubin, aspartate aminotransferase (AST), and alanine aminotransferase (ALT) over the 2nd, 4th, and 6th mo of the treatment. Results: We recruited 202 patients, with 58.91% male patients, and the mean age was 39.91 (SD: 17.18) years old. As 9% of tuberculosis patients experienced increased levels of bilirubin, AST, and ALT, and 50% among them experienced increased levels of bilirubin, AST, and ALT starting from 2nd mo of the treatment. The total bilirubin level in the 2nd,4th, and 6th mo were 0.57, 0.59 and 0.67 mg/dl, respectively. The AST levels were 27, 22, and 26 U/l in 2nd,4th and 6th mo, respectively, and the ALT levels were 21,19 and 25 U/l in 2nd,4th and 6th mo, respectively. At the end of the treatment, around 4.5% tuberculosis patients experienced high levels of bilirubin, AST and ALT. Conclusion: The monitoring treatment for tuberculosis patients should be conducted until the end of the treatment because the level of bilirubin, AST, and ALT increased after 6th mo of treatment.
GARLIC EXTRACT PHYTOSOME: PREPARATION AND PHYSICAL STABILITY
Authors: ELFIYANI RAHMAH , RADJAB NANIEK SETIADI , WIJAYA ANISA NURUL
Published: February 2024

Objective: Allicin is one of the components contained in garlic extract (Allium sativum L) and can easily be decomposed. To improve the chemical stability of allicin, a garlic extract was formulated in a phytosome system. Phytosomes, which are colloidal systems, are susceptible to ostwald ripening, which can result in an increase in particle size distribution. Changes in the size distribution indicate that the system is physically unstable. The aimed of the study was to test the physical stability of the garlic extract phytosome stored at three different temperatures for four weeks.

Methods: Garlic extract phytosomes (GEP) were prepared by the thin layer hydration method using garlic extract and lecithin at the same concentration of 4.5%. Furthermore, the phytosomes were stored at 4 °C, 25 °C, and 40 °C for four weeks. Every week, a physical evaluation was carried out (organoleptic, pH, density, particle size, polydispersity index, and zeta potential). The data obtained were analysed statistically using the Friedman test.

Results: The phytosome’s organoleptic result showed separation at 4 °C and 40 °C, starting from the second week. The average particle size of phytosomes was 214.3 nm, the zeta potential value was -29.08 mV, and the polydispersity value was 0.46. The results of statistical analysis showed that the Asymp. Sig<0.05 indicated that the particle size, zeta potential, polydispersity index, pH values, and density were significantly different at each week and storage temperature.

Conclusion: Conclusion based on study indicated a decrease in the physical stability of phytosomes, especially those stored at extreme temperatures (4 °C and 40 °C).
KASTURI ORANGE PEEL (CITRUS MICROCARPA BUNGE) ESSENTIAL OIL: CHEMICAL PROFILE, FORMULATION AS ROLL-ON AROMATHERAPY AND ITS EVALUATION
Authors: RASYADI YAHDIAN , NINGSIH WIDA , MULYA WANDA PRANCA , HANIFA DINI
Published: February 2024

Objective: Kasturi orange (Citrus microcarpa Bunge) is widely cultivated and consumed in Indonesia. The fruit's flesh is a good source of vitamin C. Essential oil of kasturi orange peel is one of the ingredients used as a raw material for aromatherapy roll-on preparations. Roll-on aromatherapy is currently widely used by various age groups. This research aims to determine the content of kasturi oil, its formulation as a roll-on aromatherapy preparation, and its physical evaluation.

Methods: The essential oil of kasturi orange peel was extracted using the distillation method, and then the physicochemical properties were examined. The chemical content of the oil was analyzed using GC-MS. The roll-on aromatherapy preparation formulas were made by varying concentrations of kasturi oil, F0 (0%), F1 (4%), F2 (6%), and F3 (10%). Additional substances used were menthol, camphor, patchouli oil, and virgin coconut oil. Patchouli oil was used in this preparation to make the aroma last longer. Evaluation of roll-on aromatherapy preparations includes organoleptic tests, pH tests, specific gravity, viscosity, clarity, and stability.

Results: From the extraction results, the percentage yield of essential kasturi oil was 0.55% v/w, with a density of 0.85 g/ml and a refractive index of 1.469. From the chromatogram results, there were 18 compounds in kasturi oil; the largest component was D-limonene (32.59%). Physical evaluation results of all roll-on aromatherapy formulas had met the requirements.

Conclusion: From the chromatogram results, there were 18 compounds in kasturi oil, with the largest component were D-limonene (32.59%). Formula F3 had the best aroma intensity, approximately for 5 h, with a slightly strong aroma, and physical evaluation results of all roll-on aromatherapy formulas had met the requirements.
Real Estate Price Prediction: A Comprehensive Review
Authors: Singh Yashraj
Published: February 2024

Abstract: The document below outlines the execution of a price prediction project for housing and real estate markets. A multitude of algorithms have been employed to enhance the accuracy of predictions. Various researchers have undertaken this project and implemented algorithms such as hedonic regression, artificial neural networks, AdaBoost, and J48 tree, which are deemed as the optimal models for price prediction. These models serve as the foundation, and with the aid of sophisticated data mining tools, algorithms like random forest, gradient boosted trees, multilayer perceptron, and ensemble learning models are utilized to achieve a higher rate of prediction accuracy. The results and evaluation of these models, facilitated by machine learning and advanced data mining tools like Weka and Rapid Miner, significantly impact price prediction
Movie and Music Recommendation System based on Facial Expressions
Authors: Patil Mukesh , Bodhe Harsha
Published: February 2024

Abstract: This paper depicts a novel approach of recommendation system created to extract user’s facial expressions and analyze it using Convolutional Neural Network. CNN is a type of artificial neural network which primarily is used for image recognition and processing by recognizing patterns in images. Initially, an inbuilt webcam will operate to detect user’s facial expression which reduces system’s cost compared to alternative methods. The main concern in existing recommendation systems is manual sorting, so to avoid it, this model is proposed. ‘Movie and Music Recommendation System based on Facial expressions’ provides a way to automatically play the music and movie without spending much time browsing it. The most common problem we all face is, whenever we hop onto third party movies and music platforms, we find tons of options and get stuck into the confusion of what to watch in terms of movies and spend half of our time surfing the options and then we decide to watch something specific. Computer vision is used to understand people in images and videos. This research project introduces an ingenious recommendation system that capitalizes on facial expressions in real time, customize movie and music suggestions through emotion analysis. Haar Cascade algorithm and CNN targets to detect facial feature detection. The database of movies is routed to IMDB site and songs to Spotify API. Training of dataset is done on FER 2013 sample images. It has an input layer, convolutional layer, dense layer and output layer. After the emotions are detected, mood classification is done (for song: tone, valence, timber; for movie: happy, surprise, sad, neutral, anger.) The model is displayed on a website created using Html and CSS with Flask as interface. This system yields better performance results. This recommendation system is exhibited on a website which is user friendly created with HTML and CSS with Flask.
Weight Monitoring System for Truck Load
Authors: Prabhu Mr. Manjunatha
Published: February 2024

Abstract: For cargo to be moved safely and effectively, a truck load weight monitoring system is required Overloading of trucks not only poses a risk to road safety but also causes excessive wear and tear on the vehicle, resulting in higher maintenance costs andreduced fuel efficiency. To address these challenges, an advanced weight monitoring system has been developed to measure and monitor the weight of truck loads using HX711 loadcell. When it comes to monitoring and managing the weight of truck loads. Overloading of trucks has been a longstanding issue in the industry. It not only compromises road safety but also has detrimental effects on the vehicles themselves. Excessive weight can lead to increased braking distances, compromised steering control, and increased risk of tire blowouts, all of which contribute to higher accident rates. This system utilizes advanced technologies and sensors to accurately measure and monitor the weight distribution of cargo carried by trucks. By providing real-time weight information using GPS and GSM modules, operators and fleet managers can make informed decisions to ensure compliance with weight regulations and prevent overloading
Das janelas de “Atenas”: reminiscências monográficas do curso de licenciatura em Filosofia da UEMG Campanha (2009-2013)
Authors: Rezende Messias Elvis , de Oliveira Rezende Wendel
Published: February 2024

Vivemos tempos nos quais a reflexão filosófica se faz urgentemente necessária e a educação crítica, laica, socialmente referenciada e de qualidade se reafirma como uma potente força democrática. Este livro acredita nisso e é uma forma de dar corpo a esse coro, querendo participar da luta coletiva em prol da dignidade integral da pessoa humana, através das armas da tinta e do papel, ou seja, de boas e bem fundamentadas ideias, a fim de que o pensamento crítico e a esperança crítica sejam forças mais convincentes para os dias de hoje. Cada tentativa de reflexão é, de fato, uma janela aberta para o mundo, um ponto de vista, uma ótica filosófica, um prisma de interpretação sobre a realidade atual e as inenarráveis contribuições das autoras e dos autores do passado. Por isso, a presente obra apresenta algumas destas perspectivas ou “janelas”, vislumbradas a partir da história intensa (não obstante célere) do curso de filosofia da UEMG de Campanha (2009-2013).
Analysis of the properties of regional geodetic GNSS networks built by the relative method. General case
Authors: Bovshin N.A.
Published: February 2024

In this paper, we continue to study the geodetic stations adjusted coordinates’ statistical properties in permanently operated networks. Analytical reconstructing the variance-covariance matrix of a real vector solution obtained from processing a redundant set of the same GNSS observation session’s measured vectors is performed. The mentioned matrix is compared with the same one, of the vector solution, resulted on the measured lines’ total set basis. Common properties of both arrays are revealed, as well as discrepancies in features for different types of solutions. As a suitable tool for studying the latter, the corresponding absolute way is offered
Mapping of large urban agglomerations in the People Republic of China based on remote sensing data (using the example of Shenyang)
Authors: Artemeva O.V. , Gnevashev F.A.
Published: February 2024

Urban forms of settlement now have a direct impact on all aspects of the economic, social and cultural development of society. The study of the growth dynamics of cities and megacities using photogrammetry methods, together with the display of the structure and relationships of the studied territories by the methods and techniques of geoinformation cartography, becomes part of the system of scientific study of urbanization processes as a whole. At the same time, both technical algorithms for processing space images and final cartographic models compiled on the base of geographic information systems (GIS), what allow automated methods to track changes in space and time in a particular territory, are studied. This article demonstrates the development of an algorithm for processing remote sensing data (RSD) for creating electronic maps for the territory of the People`s Republic of China
Análise de Discurso e Análise de Conteúdo:
Authors: De Freitas Linhares Bianca , Garcia da Silva Lucas
Published: February 2024

Pesquisadores/as, sobretudo os/as que se encontram em formação, podem apresentar dificuldades com desenhos de pesquisa, ainda mais quando em uma investigação se pretende ter diferentes fontes de dados, técnicas de coleta, de análise, base/s teórica/s e/ou cientistas na pesquisa. O presente artigo busca apresentar uma das possibilidades de uso da triangulação em análise de dados, bem como mostrar a relevância da estreita relação que deve haver entre teoria e metodologia. Para isso, apresentamos uma pesquisa-exemplo na qual foram empregadas as técnicas de Análise de Discurso e de Análise de Conteúdo. A investigação citada, de base teórica pós-estruturalista, utiliza-se de conceitos da Teoria do Discurso, de Ernesto Laclau - informação relevante para a compreensão das decisões metodológicas descortinadas ao longo do texto. Embora possa ser entendido como um estudo descritivo, o artigo traz um liame de informações teóricas acerca da metodologia e das técnicas de análise, além de resultados da pesquisa-exemplo que interpretam a metodologia e a teoria aplicadas. Como resultado, temos que a correta vinculação entre teoria e metodologia é fundamental para um bom desenvolvimento do desenho de pesquisa. Por fim, concluímos que a triangulação, quando bem empregada, é uma possibilidade de tornar mais ricos os achados de pesquisas dentro do campo das ciências humanas e sociais.

Palavras-Chaves: Metodologia; Triangulação; Análise de Discurso; Análise de Conteúdo; Teoria do Discurso.
Mulheres, participação política e financiamento de campanha
Authors: Vianna Sento-Sé Isadora
Published: February 2024

Em ranking de participação de mulheres no Parlamento, elaborado pela ONU Mulheres em parceria com a União Interparlamentar (UIP) em 2017, o Brasil ocupava a 154º lugar entre os 174 países analisados. Este artigo investiga a relação entre financiamento de campanha e sucesso em chegar a um cargo legislativo a partir dos cálculos de razão de chance, utilizando dados do TSE referentes às eleições de 2018. Quanto à participação no executivo, com apenas uma mulher ministra, o Brasil ficou em 167º lugar entre os países no ranking. A partir das eleições de 2018, o Congresso Nacional passou a ser composto por mais mulheres do que em 2014, ainda que o percentual de participação de mulheres seja bem abaixo da média na América Latina. Os dados mostram que o maior financiamento de campanha não necessariamente implica no sucesso eleitoral, indicando que há outros fatores associados ao sucesso ou fracasso eleitoral de candidaturas femininas.