Data Tables Research Articles

Sublethal effects of nanoformulated Mentha pulegium L. essential oil on the biological and population growth parameters of the greenhouse whitefly, Trialeurodes vaporariorum, (Hemiptera: Aleyrodidae)

We evaluated the toxicity and sublethal effects of essential oil (Mentha pulegium L.) and its nanoformulation against greenhouse whitefly, Trialeurodes vaporariorum, which is one of the most destructive pests of a wide range of crops. The essential oil was extracted from the plant by steam distillation using a Clevenger apparatus, and 14 chemical components of M. pulegium were identified using gas chromatography-mass spectrometry. The results illustrated that monoterpenoids were main characterized components including pulegone (%66), menthofren (%10.54), 1, 8 Cineole (%8.36), betapenin (%3.49) and limonene (%2.01). The nanoformulation was characterized using dynamic light scattering (DLS), transmission electron microscopy (TEM), and scanning electron microscopy (SEM), revealing that the particles were spherical in shape with an average size of 156.40 nm. The leaf dipping was used for the bioassays. The obtained LC50 and LC25 values of treatments indicated that the nanoformulation of essential oil (LC50: 2418.96 and LC25: 1724. 25 ppm) was more toxic than the pure of M. pulegium oil (LC50: 3223.083 and LC25: 779.439 ppm ppm) against greenhouse whitefly adults after 24 h. The life table data were analyzed based on the age-stage, two-sex life table theory using computer program of TWOSEX–MSChart. Also, the sublethal concentration (LC25) of its nanoformulation led to delaying in preadult stage and decreased the adult longevity, and fecundity compared to treatments. Moreover, the sublethal concentration of either M. pulegium oil or its nanoformulation affected the population growth parameters of T.vaporariorum compared to the control. However, the net reproductive rate (R0), intrinsic rate of increase (r), finite rate of increase (λ), of adults who exposed to the nanoformulation was lower than the pure form of M. pulegium. The overall results demonstrated that the nanoformulation of M. pulegium has the most lethal and sublethal effects on greenhouse whitefly compared with the pure form of essential oil which can be consider in integrated pest management program (IPM) of this pest.

Analysis of r×c Tables containing Outliers

We examine the problem of accommodating outliers in tables of measurement data when there are no replications. The suggested strategy for the determination of the cells that contain outliers and for handling them analytically is easily understood and implemented in practice and presented in even the most elementary statistics course along with the course’s ANOVA material.

Prediction of the dynamic changes of water table based on the quantitative theory type I in the Piedmont Plain of the Taihang Mountains

Statistical analysis was conducted on groundwater table data in the Ji Yuan Basin from 2006 to 2018, revealing a continuous downward trend in the groundwater table with imminent depletion of shallow groundwater resources. To ensure the sustainable development of groundwater resources in the area, a quantitative model of groundwater table was successfully constructed using the principles of the Quantitative Theory Type I. This model included seven benchmark variables: rainfall, evaporation, exploitation, hydraulic conductivity, specific yield, lithology of the vadose zone, and land-use type. These factors are key contributors to the decline in groundwater levels in the study area. The model yielded an average residual value of 0.35 m and an adjusted R2 of 0.789, indicating that it can explain 78.9% of the benchmark variables with acceptable accuracy. Additionally, the model successfully simulated four types of groundwater dynamics, with the best results obtained for the rainfall infiltration-exploitation-evaporation type. This study’s findings suggest that the model can be utilized to predict the dynamic characteristics of the groundwater table and guide groundwater extraction activities.

Pattern of Birth Defects, Association And Their Outcomes Among Neonates In A Tertiary Care Hospital In Bangladesh

Introduction: Birth defects are one of the major cause of stillbirths and neonatal mortality in developed and developing countries. The prevalence of birth defects varies in different parts of the world. In many cases, the causes are unknown; however, several factors known to be associated are genetic factors, maternal age, health, dietary factors, maternal infections, geographical factors, drugs, smoking and irradiation. Objectives: To identify the pattern of birth defects, association and their outcomes among neonates Methodology: This observational cross-sectional study was conducted in the department of neonatology, Dhaka Medical College Hospital, Dhaka from 1st July 2019 to 30th June 2021. Sample was collected by purposive sampling technique. Total 407 babies were enrolled. Out of them 207 babies were with birth defects in group-A and 200 babies had no birth defects in group-B. Detail demographic data were collected from the informant and recorded in structured case report form. Clinical examination and relevant investigations were done. Data processing work consist of registration schedules, editing computerization, preparation of dummy table, analyzing and matching of data. Results: In this study the two study groups were almost similar with respect to their demographic characteristics like sex, residence, place of delivery, mode of delivery, gestational age, parity and maternal age. The total number of admission during this period was 3050 and total number of birth defects was 207 (6.78%0). In this study on evaluation of maternal risk factors, group-A maternal high blood pressure were in 25.12% cases( OR=1.62;p=.002), maternal diabetes were in 15.46% cases( OR=1.12;p=.001), poor maternal nutritional status was 14.50%( p=.001), history of taking folic acid was 9.66%(OR=0.10;p=.001), 5.80% of the patient had history of exposure to antenatal radiation(OR=.06;p=.001), 4.43% had history of consanguinity(OR=.05;p=.001), 2.420% of women noticed that exposure to pesticides(OR=.025;p=.001), H/O of taking anticonvulsant was 2.420%(OR=.025;p=.001). Group-B was maternal high blood pressure in 7.25% cases(OR=.078;p=.001), maternal diabetes were in 6.28% cases(OR=.067;p=.001), poor maternal nutritional status was 5.80%(p=.001), history of taking folic acid was 4.83% (OR=.051;p=.001), 1.45% of the patient had history of exposure to antenatal radiation(OR=.015;p=.001) and 0.97% had history of consanguinity(OR=.01;p=.001). In this study pattern of birth defects summarized as the cardiovascular system defects was the most commonly affected(26.57%), followed by defects in the head, neck ear,- and eye(19.32%), Syndromes(14.50%), gastrointestinal defects(12.56%), musculoskeletal system defects(10.14%), central nervous system defects (8.70%) and genitourinary system(4.83%) of total defects. In group-A 78.26% of the patients recovered and 23 patients expired during hospital stay (p=.001). In group-B 85.99% of the patients recovered and 17 patients expired. Conclusion: Congenital cardiac defects were the most prevalent anomaly detected. Maternal high blood pressure and diabetes are the risk factors of birth defects in neonates. Antenatal diagnosis and proper management can improve the outcome of these neonates. J Dhaka Med Coll. 2023; 32(1) : 43-50

Harm effects in non-registered versus registered randomized controlled trials of medications: a retrospective cohort study of clinical trials

BackgroundTrial registration aims to address potential bias from selective or non-reporting of findings, and therefore has a vital role in promoting transparency and accountability of clinical research. In this study, we aim to investigate the influence of trial registration on estimated harm effects in randomized controlled trials of medication interventions.MethodsWe searched PubMed for systematic reviews and meta-analyses of randomized trials on medication harms indexed between January 1, 2015, and January 1, 2020. To be included in the analyses, eligible meta-analyses should have at least five randomized trials with distinct registration statuses (i.e., prospectively registered, retrospectively registered, and non-registered) and 2 by 2 table data for adverse events for each trial. To control for potential confounding, trials in each meta-analysis were analyzed within confounder-harmonized groups (e.g., dosage) identified using the Directed Acyclic Graph method. The harm estimates arising from the trials with different registration statuses were compared within the confounder-harmonized groups using hierarchical linear regression. Results are shown as ratio of odds ratio (OR) and 95% confidence interval (CI).ResultsThe dataset consists of 629 meta-analyses of harms with 10,069 trials. Of these trials, 74.3% were registered, and 23.9% were not registered, and for those registered, 70.6% were prospectively registered, while 26.3% were retrospectively registered. In comparison to prospectively registered trials, both non-registered trials (ratio of OR = 0.82, 95%CI 0.68 to 0.98, P = 0.03) and retrospectively registered trials (ratio of OR = 0.75, 95%CI 0.66 to 0.86, P < 0.01) had lower OR for harms based on 69 and 126 confounders-harmonized groups. The OR of harms did not differ between retrospectively registered and non-registered trials (ratio of OR = 1.02, 95%CI 0.85 to 1.23, P = 0.83) based on 76 confounders-harmonized groups.ConclusionsMedication-related harms may be understated in non-registered trials, and there was no obvious evidence that retrospective registration had a demonstrable benefit in reducing such selective or absent reporting. Prospective registration is highly recommended for future trials.

Applying Deep Generative Neural Networks to Data Augmentation for Consumer Survey Data with a Small Sample Size

Questionnaire consumer survey research is primarily used for marketing research. To obtain credible results, collecting responses from numerous participants is necessary. However, two crucial challenges prevent marketers from conducting large-sample size surveys. The first is cost, as organizations with limited marketing budgets struggle to gather sufficient data. The second involves rare population groups, where it is difficult to obtain representative samples. Furthermore, the increasing awareness of privacy and security concerns has made it challenging to ask sensitive and personal questions, further complicating respondent recruitment. To address these challenges, we augmented small-sized datawith synthesized data generated using deep generative neural networks (DGNNs). The synthesized data from three types of DGNNs (CTGAN, TVAE, and CopulaGAN) were based on seed data. For validation, 11 datasets were prepared: real data (original and seed), synthesized data (CTGAN, TVAE, and CopulaGAN), and augmented data (original + CTGAN, original + TVAE, original + CopulaGAN, seed + CTGAN, seed + TVAE, and seed + CopulaGAN). The large-sample-sized data, termed “original data”, served as the benchmark, whereas the small-sample-sized data acted as the foundation for synthesizing additional data. These datasets were evaluated using machine learning algorithms, particularly focusing on classification tasks. Conclusively, augmenting and synthesizing consumer survey data have shown potential in enhancing predictive performance, irrespective of the dataset’s size. Nonetheless, the challenge remains to minimize discrepancies between the original data and other datasets concerning the values and orders of feature importance. Although the efficacy of all three approaches should be improved in future work, CopulaGAN more accurately grasps the dependencies between the variables in table data compared with the other two DGNNs. The results provide cues for augmenting data with dependencies between variables in various fields.

TDEM: Table Data Extraction Model Based on Cell Segmentation

TDEM: Table Data Extraction Model Based on Cell Segmentation

Performance analysis of web application client layer development tools us-ing Angular, React and Vue as examples

The article presents a comparative analysis of tools for developing the client layer of web applications. The tools chosen for it were Angular 17.1.0, React 18.2.0 and Vue 3.3.4. The research process was carried out using the “Benchmark” test application, implemented with each technology. It was prepared as a performance tester, implementing tests consisting of operations that manipulate a table of data, in order to measure their execution time. The results of the performed tests became the basis for further analysis. As a result of the study, Angular became the most efficient tool in the largest number of tests. Slightly lower performance was observed with Vue, and the least efficient application turned out to be the one prepared with React.

Hohenbergia alba and Hohenbergia sparsiflora, two striking new bromeliads from the Brazilian Atlantic Forest

We present two new species, Hohenbergia alba and H. sparsiflora, endemic to the Brazilian Atlantic Forest in the southern region of the state of Bahia. These species were identified as understory epiphytes in forest fragments near highways. These newly described species are morphologically similar to the “giant Hohenbergia species group”, characterized by their significantly larger size compared to species found in the highlands and dryer environments. Notable unique features include the compact rosette and a 3-4-branched inflorescence with white-colored petals for H. alba and sparsely-flowered spikes for H. sparsiflora, a feature not yet reported for the genus. Additionally, we provide illustrations, and a comparative table of morphological data of these species and related taxa, as well as information on the conservation status and phenology.

АНАЛИЗ ТИПОВ И РАЗЛИЧНЫХ КОНСТРУКТИВНЫХ ОСОБЕННОСТЕЙ РЕЗЕРВУАРОВ (РЧВ), ПРИМЕНЯЕМЫХ В СИСТЕМАХ ПОДАЧИ И РАСПРЕДЕЛЕНИЯ ВОДЫ

The paper presents a list and analysis of the design of clean drinking water tanks, which have become widespread in the systems of household drinking, industrial, fire-fighting water supply. Subject of research: Reservoirs of clean drinking water, erected in various ways and made of various materials. Materials and methods: The work summarizes reference data, data from sites of modern equipment that implement tanks of various design designs, presents material on the stage Materials and methods: The paper summarizes reference data, data from sites of modern equipment that implement tanks of various design designs, presents material on the stages of construction of tanks for various purposes Results: A table of summary data covering the ranges of capacities of clean drinking water tanks has been compiled, with the definition of the required area for each of them. The data presented in the work as a result of generalization, allows at the stage of preliminary calculations to determine the necessary parameters for the placement of clean water reservoirs: (the area of the cutting of the vegetation layer, the depth of the excavation, the volume of excavation, etc.). Conclusions: The research results allow us to obtain a summary table of RFV data that allows us to determine the type and structural elements of storage equipment, the presented material is useful for students, specialists of design and operational organizations.

Evaluation of Saccadic Component Measure on Smooth Pursuit Tests.

Despite the advancement of eye-tracking technology for smooth pursuit (SP) eye movement evaluation, qualitative observation offers much information that is not captured by computers; hence, both objective and qualitative information should be utilized to evaluate SP. This study examined the consistency among our clinicians when evaluating SP using normal (N), grossly normal (GN), mildly abnormal (MA), and abnormal (AB) as classifications. We then evaluated the effect of combining GN and MA into a single subclinical (SUBC) category. We also evaluated the computerized percent saccade (PS) metric by determining its sensitivity and specificity in classifying SP. Retrospective horizontal and vertical SP test videos and numerical data for 70 participants were obtained from the Neuro Kinetics Neuro-Otologic Test Center and de-identified. From this, eye-tracking videos, time plots of eye-tracking positional data, and tables of SP eye-tracking performance data were generated for 0.1, 0.3, and 0.5 Hz in both horizontal and vertical planes, totaling 6 tests per subject. Three clinicians rated each subject's SP performance as N, GN, MA, or AB for a total of 6 ratings (3 frequencies, horizontal and vertical). This process was repeated using N, SUBC, and AB as rating categories. Clinicians also provided an overall SP rating for each plane as follows: AB if the results were abnormal for 2 or more frequencies tested. Alternatively, if fewer than 2 frequencies presented with a rating of AB, then an overall rating of MA, GN, or N was determined at the respective clinician's discretion. When the 3 clinicians were tasked with classifying SP videos using 4 clinical categories, fair overall agreement was demonstrated. However, when MA and GN categories were combined into an SUBC category, the overall agreement for the 3 clinicians improved slightly for both horizontal SP (HSP) and vertical SP (VSP). This pattern of agreement did not differ considerably when comparing HSP versus VSP, and good consistency and reliability was observed across clinicians. Again, inter-rater consistency was smaller for VSP versus HSP despite the reduction in clinical categories. Cut-off values were generated for the PS metric and demonstrated good specificity and sensitivity when they were exceeded for 2 or more frequencies in a particular plane when evaluating a subject's SP test.

Marriages and divorces in the Arctic zone of the Sakha (Yakutia) Republic in 2000–2022

BACKGROUND: One of the primary concerns for national security in the Russain Arctic today is the declining population. A decrease in population over the last decade has also been observed in the Arctic zone of the Sakha (Yakutia) Republic. This trend can be attributed to unfavorable medical and demographic factors, such as low birth rates and relatively high mortality rates in the 13 districts that belong to the Arctic zone. We hypothesize that low marriage rates in most of the Arctic districts may also contribute to population decline. AIM: To describe marriage and divorce rates in the Arctic zone of the Sakha (Yakutia) Republic in 2000–2022. MATERIAL AND METHODS: A descriptive study. Materials from the official government statistics were used. Initially, marriage- and divorce rates were calculated using the percentile method in all districts of the republic. Then the analysis was performed using the data from 13 Arctic districts. Associations between the variables were studied by correlation analysis RESULTS: Both marriage- and divorce rates were relatively low in the Arctic districts as demonstrated by the data in tables and charts and supported by the results of the correlation analysis. CONCLUSION: The Arctic regions of the Sakha (Yakutia) Republic face challenges due to relatively low marriage- and divorce rates, which exacerbate the already unfavorable medical and demographic situation. In order to address these issues and improve the demographic policy in the region, specific recommendations have been developed for the municipal leaders of the Sakha (Yakutia) Republic.

Sensitive Data Flagging within Data Quality reports: R and Regex Integration for Effective Text Flagging in Large Datasets

ObjectiveWe’re introducing a comprehensive approach to enhance sensitive data flagging within our Data Quality (DQ) tool. Within de-identified health records, sensitive data such as user ids, post codes, phone numbers, and addresses pose significant privacy risks if exposed in their raw form. To address this challenge, we propose using all necessary regex patterns and free text field checks for sensitive data flagging with the objective of efficient detection within large datasets and ultimately reporting such data. ApproachA regex map has been developed along free text field thresholds, distribution counts and percentage checks to allow a generic approach. This ensures that any new regexes can be added to the flagging process without significant code changes. Once identified, sensitive data instances, including fields that contain free text are flagged and displayed in an html report that is human readable by DQ reviewers. ResultsThrough a combination of SQL and R regex based text processing, our approach allows a seamless identification and flagging of sensitive data within datasets. Sensitive data for large tables of +25 million records with over 50 columns are getting flagged in less than 150 seconds (approx. 2 minutes). ConclusionOur development offers a practical solution for sensitive data flagging in complex datasets where team members can implement robust sensitive data flagging by adding more regex formulas in the codebase. ImplicationsDQ reviewers can inspect the sensitive flagged fields in a human readable way, providing an extra measure of confidence when determining the quality of de-identified health records.

Resilience in tourism-based SMEs driven by initiatives and strategies through share value relational capital viewed from a resource-based theory perspective

This study aims to build a conceptual model based on the role of share value relational capital, frugal innovation and ambidexterity as an effort to link the increase in the resilience of SMEs (small medium enterprises). By using a quantitative research design, a structural study methodology was adopted in this study. Overall, data from 132 tourism SMEs was collected using a questionnaire and 568 data from respondents that can be used for further analysis. The analysis uses logistic regression with dichotomous response and predictor variables on structured tables of count data, representing firm performance as a result of capital resources, physical resources and possibly innovation. To test share value relational capital, frugal innovation and ambidextirity which is outlined in the research model and the hypotheses, the authors used the structural modelling software Analysis of Moment Structure, Structural of Equation Model (AMOS SEM) to analyse 568 usable questionnaires. The results show the acceptance of all hypotheses proposed in this study, as well as the role of share value relational capital, frugal innovation and ambidextirity variables can be a bridge to leverage the resilience of SMEs. The findings in this research area show that there are three pathway strategies for increasing resilience SMEs. Share value relational capital, frugal innovation and ambidexterity are the basis of separate contributions to increase the resilience of SMEs There are several practical implications for SMEs managers who want to increase their resilience. The originality in this research is the role of share value relational capital, frugal innovation and ambidexterity in being able to bridge the influence between digital business transformation and resilience SMEs.

Constrains for attending District Early Intervention Centre (DEIC) of Purba Bardhaman district, West Bengal: Perspectives of both service providers and caregivers of the beneficiaries, a Mixed-Method Study.

This study was conducted to assess the clinicosocial profile characteristics of the beneficiaries attending DEIC and to explore the challenges faced by both the caregivers and service providers. A facility-based, mixed-method study with phenomenological approach was conducted in Burdwan Medical College of Purba Bardhaman district, West Bengal, from January 2023 to April 2023. For quantitative part, record analysis was conducted involving all children enrolled at DEIC from January 2022 to December 2022, and for qualitative part, caregivers and service providers were selected purposively and interviewed using the in-depth-interview (IDI) guide. Inductive thematic analysis was conducted simultaneously till data saturation was achieved. The principles of descriptive statistics were applied to organize and present the quantitative data in tables and diagrams. Qualitative data were transcribed into verbatim and analyzed thematically with inductive approach. Out of 3332 children enrolled, 58.4% were males, and 44.2% were aged between 0 and 1 month. 59.3% of them had developmental delays, 7.9% had defects, 42.9% had diseases, and 21.3% had some deficiencies. Major hindering factors in service provision among service providers were resource deficiency, inadequate capacity building, administrative bottlenecks, limited supportive supervision, inadequate advocacy, and awareness deficit. No major constraints were found from caregivers' perspective in accessing healthcare. DEIC is running with shortage of proper infrastructure and adequate supervision. Periodic training, appropriate awareness building, and continuous flow of logistics are needed to ensure a better quality of life among beneficiaries.

Anisotropic effect of shear zone on groundwater potentiality in crystalline hard rock terrain

Assessment of potential groundwater recharge sites and sustainable water resource management in semi-arid crystalline rock terrain is a challenging task. Globally, analysis of remote sensing satellite imagery data for delineation of groundwater potential zones over sheared crystalline hard rock terrains has been fairly successful. But there is no existing study present at our disposal which discusses the factors controlling the inconsistent groundwater potentiality that exits along the shear zones. This study attempts to analyse the major geological factors controlling the irregular groundwater potentiality of shear zones within older crystalline rock terrain. Therefore, the study area selected for this analysis is the Purulia district of West Bengal, NE India, composed mostly of Precambrian metamorphic rocks i.e., quartzite, granite gneisses, porphyroclastic granite-gneiss, quartzo-feldspathic-granite-gneiss, mylonitic granites, quartz-biotite-granite gneiss, quartzites, carbonatites and phyllites. Satellite imagery study of IRS-P6 LISS IV standard FCC image reveals the presence of two bifurcating shear zones namely North Purulia Shear Zone (NPSZ) and South Purulia Shear Zone (SPSZ) over the study area. Careful analysis of rock structure, different lithotypes, soil thickness, electrical resistivity tomography data and water table data with an emphasis on high water table fluctuation, shows a strong spatial relation between the potentially good groundwater recharge zones and the branching/confluence sites of shear zones present in the study area. The study constructs an attempt to demonstrate the relationship between shear zone conjunctions and significant groundwater recharge sites in Precambrian crystalline fractured-rock aquifer system.

ПРОГНОСТИЧЕСКИЙ АЛГОРИТМ ФОРМИРОВАНИЯ ЗАДЕРЖКИ ФИЗИЧЕСКОГО РАЗВИТИЯ У ДЕТЕЙ, ПЕРЕНЕСШИХ ВНУТРИУТРОБНУЮ НАРКОТИЧЕСКУЮ ИНТОКСИКАЦИЮ

Objective: to create prognostic tables for delayed physical development of children who have experienced drug intoxication in the prenatal period. Materials and methods. The research materials are presented by the study group (51 children) and the verification group of children (10 people). The study group consisted of children aged 1 to 14 years who had prenatal exposure to opiates. Research methods included medical history, follow-up observation and statistical processing of the data obtained using the “Statistica 9.0” program. Results. A prognostic algorithm has been created in tabular expression of the most informationally significant 19 risk factors that have both a prognostically significant and leveling effect on the formation of future delays in the child’s physical development. prognostic table of risk data for the development of delayed physical development in children born to drug-addicted women. The obtained data was verified by a verification group. The effectiveness was 90 % (9 prognostic scenarios adequately reflected upcoming events. Conclusion. The developed predictive algorithms for delayed physical development in children who were exposed to opiates in the prenatal period are applicable in the practice of a pediatrician and create a real opportunity to draw up individual scenarios. The data obtained will help to prevent the development of pathology in a timely manner.

Exploring double-diffusive convection in ferromagnetic Carreau nanofluid with magnetic dipole: Insights for solar thermal systems over plate, wedge, and stagnation

The use of ferromagnetic Carreau nanofluid in solar thermal systems enhances heat transfer and magnetic effects, optimizing solar collector design, improving solar power efficiency, and innovating nanofluid-based solar heaters and energy storage. Magnetic nanostructures significantly impact viscosity and thermophysical properties, influencing Ferrofluids' magneto-viscous nature. The investigation illustrates double-diffusive convection in radiative flow past three different geometries of ferromagnetic Carreau nanofluid, emphasizing the novel discussion of diffuse-thermal and thermo-diffusion impacts. Numerical solutions are obtained using the shooting technique with the Runge-Kutta fourth-order approach. Graphs and numerical data in tables depict the impacts of pertinent parameters. The study reveals that the radiation parameter, Soret parameter, and Dufour parameter contribute to temperature improvement as they are enhanced. These findings showcase the potential for advancing solar thermal systems through the utilization of ferromagnetic Carreau nanofluid, offering insights for sustainable solar energy applications. As the thermophoresis parameter increases from 0.001 to 0.005, the percentage change in the Nusselt number decreases for all three locations: Plate (0.90 %–0.66 %), Wedge (0.77 %–0.62 %), and Stagnation Point (0.62 %–0.54 %). This indicates that while the absolute values of the Nusselt numbers increase, the rate of change becomes smaller as increases.

Soil Fertility Status of the Two Eruptions of Mount Tangkuban Parahu and Mount Tampomas in Tanjungsari District Sumedang Regency

Soil fertility is one of the important factors to optimize plant growth and productivity. This study aims to analyze the status of soil fertility through soil physical analysis (texture) soil chemistry (pH H2O and KCl, C-organic, cation exchange capacity, base saturation, P2O5, and K2O) in several land units of Tanjungsari District, Sumedang Regency. The method used to determine sample points is purposive sampling method by considering several land units, namely soil type map, soil parent material map, topography map (slope), land use map, and rainfall data. Soil fertility status is determined by the matching table method between the results of soil chemical analysis with soil fertility status index that refers to the Soil Research Center (PPT) 1995. The results of the matching table data analysis showed that the research area almost entirely included low fertility status criteria except for the pine forest land unit on a moderately steep slope including medium fertility status criteria. The factors of base saturation, k-potential (K2O), and C-organic are the limiting factors of soil fertility status in the Tanjungsari District of Sumedang Regency, including the low to medium category.

INDCOMP: A Shiny App for Open Data Repository of the Performance of an Indonesian Company Listed at the Indonesia Stock Exchange

Investors, practitioners, and stock researchers highly need data related to financial performance to predict a company's financial health condition, which is used as a basis to consider investing in it. The Indonesia Stock Exchange (IDX) website provides reports on the company's financial performance. Unfortunately, the company’s financial data found on the IDX website are in PDF format, and researchers must download them one by one, which takes a long time. This study presents a website-based application, named Indonesia Company Performance (INDCOMP), built using the R programming language and involving various R packages and frameworks to assist investors, practitioners, and stock researchers in studying the financial performance of companies. This application can help users quickly access the financial performance data of various companies, present financial performance data in data tables, and perform data visualizations as well as statistical analyses.