bluuebunny/crossref_metadata_2025_split huggingface dataset:
Peran Organisasi Persatuan Islam Tionghoa Indonesia (Piti) dalam Perkembangan Muslim Tionghoa di Kota Medan Tahun 1998-2023
Authors: Anna Maharani Br Lubis  , Sori Monang  , M. Nasihudin Ali  
Published: August 2024

Chinese Islamic Unity Organization (PITI) is a social missionary organization that houses ethnic Chinese Muslims in the city of Medan which was founded in 1961. In its organizational development it experienced obstacles such as during the New Order era when it had to change the name of its organization. And in 1998, PITI Medan could be said to have "a name but no form", in the sense that the PITI Medan organization existed but in all its activities experienced stagnation. However, running an organization does not mean it does not meet obstacles. Currently, PITI Medan is experiencing a decline in organizational activity due to a lack of awareness among the management and members to advance the organization. Due to work and long distances as well as lack of funds, this has also become an obstacle to the development of the PITI Medan organization. Apart from that, due to the Covid-19 pandemic, there have been no activities carried out by the PITI Medan organization until now. The PITI organization has a role as a forum for fostering religion and uniting Chinese Muslims with native Muslims, and native Muslims with ethnic Chinese which is one of the developments of Chinese Muslims in the city of Medan which is realized through activity programs, such as recitations, Muslimat taklim majlis, activities at the month of Ramadan, as well as activities to commemorate Islamic holidays.

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Mediating of Job Satisfaction and Employee Engagement in the Relationship between Soft-Training and Development Investment Towards Employee Turnover
Authors: Hoo Wong Chee , Shien Lee Yan , Wolor Christian Wiradendi , Shaznie Aminath , Prompanyo Manoch 
Published: August 2024

This study examines the impact of soft training and development initiatives on employee engagement, job satisfaction, and employee turnover, with a particular focus on the mediating role of job satisfaction. Utilizing purposive sampling, the research gathered data from diverse industries through online surveys, focusing on participants' experiences with training and development programs. The study employed descriptive analysis and regression analysis using SPSS to explore the relationships between the variables. Multiple regression and mediation analyses were employed to test the proposed hypotheses. The findings indicate a significant positive relationship between soft training and job satisfaction, suggesting that soft training initiatives enhance employees' job satisfaction. Additionally, a negative relationship was observed between job satisfaction and turnover intentions, indicating that higher job satisfaction is associated with lower turnover intentions. The mediation analysis revealed that job satisfaction partially mediates the relationship between soft training and turnover intentions. This implies that while soft training directly reduces turnover intentions, it also indirectly contributes to this reduction by enhancing job satisfaction. These results underscore the importance of investing in soft training programs to foster job satisfaction and subsequently reduce employee turnover. This study contributes to the existing literature by highlighting the critical role of job satisfaction as a mediator in the relationship between training and development initiatives and turnover intentions. Practical implications for HR practitioners and organizational leaders include the strategic implementation of soft training programs to enhance job satisfaction and minimize turnover, thereby promoting a more stable and engaged workforce.
Peran Guru dalam Mengembangkan Kecerdasan Spiritual Anak Di TK Raudhatul Muttaqin Welahan Jepara
Authors: Safinah Safinah , Azim Irfan 
Published: August 2024

Penelitian ini bertujuan untuk mendeskripsikan tentang peran guru dalam mengembangkan kecerdasan spiritual anak di TK Raudhatul Muttaqin Welahan Jepara. Penelitian ini menggunakan metode kualitatif yang dimana peneliti bertindak sebagai instrumen atau kunci, dan data diperoleh dengan, pertama; observasi keadaan sekolah, kedua; wawancara dengan Guru, ketiga; dokumentasi. Teknik analisis data berupa reduksi data dengan memilih data-data yang sesuai dengan fokus penelitian, kemudian penyajian data dengan mendeksripsikan setiap data-data yang ditemukan dilapangan dan selanjutnya penarikan kesimpulan dari hasil perolehan data dan deskripsi data yang sudah dilakukan.
Hasil penelitian menunjukkan bahwa: peran guru dalam mengembangkan kecerdasan spiritual yaitu (1) perencanaan dalam mengembangkan kecedasan melalui kegiatan-kegiatan keagamaan (religious culture), dan penanaman pengetahuan kegamaan (religious knowing) sebagai wadah untuk membiasakan siswa mengetahui dan melaksanakan ajaran agama. (2) Menerapkan proses pembiasaan kepada anak. Yaitu dengan membiasakan anak mengucapkan salam dan membaca do’a ketika memulai pelajaran dan juga ketika pelajaran berakhir, membaca do’a sebelum makan dan sesudah makan, dan do’a sehari-hari. (3) membiasakan anak bertutur dan bertingkah laku yang baik misalnya anak dibiasakan untuk tidak berkata kasar, anak dibiasakan untuk selalu menghormati yang lebih tua, anak dibiasakan untuk selalu menerima sesuatu dengan tangan kanan, anak dibiasakan untuk mengucapkan terima kasih.
Understanding Judicial Activism and its impact
Authors: Pandey Shyam Prakash 
Published: August 2024

Judicial activism is a judicial philosophy holding that the courts can and should go beyond the applicable law to consider broader societal implications of its decisions. The objective of this paper is to study the active role of Indian Judiciary for promoting Justice. Judicial Activism is the tool that has helped the judiciary to create a supremacy over the affairs of the other two organs and their functioning. The society is to be regulated beyond the realm of laws as well, whenever there is a grey area or loopholes, judiciary cannot just sit quietly and let injustice happen and thus they play the role of protectors of law beyond the subjective laws as well. The paper also analyses the impact of judicial activism on Indian society and Indian politics. It can be conclude that when the elected representatives fail to create a welfare state then the role of judiciary becomes indispensable but the judiciary cannot intervene in the state affairs just to show its supremacy.
Mass Mediation in Disasters – Mitigating the Inherent Risks
Authors: Mahaseth Harsh , Jain Juhi , Dang Muskan 
Published: August 2024

Disasters in general render victims vulnerable, especially at the hands of insurance representatives. Given the mental distress that the victims are already reeling under, among other factors, and the power that insurance companies exercise during this time, aggravates this issue. Often litigation is resorted to, but to no avail, given the inherent pitfalls of the mechanism. Mediation in such scenarios is seen as an effective remedy to resolve disputed insurance claims. In fact, the success of mediation during multiple disasters over the past few decades have proved its strength. While mediation is the best alternative, it suffers from certain risks. The aim of this paper is to therefore evaluate the special risks posed in such mass mediation. This paper will first introduce the concept of how mediation comes into play post disasters and why it is seen as the best system to resolve disputed insurance claims. It will subsequently look at some of the factors, both internal and external that pose challenges to this mechanism in the context of a post-disaster set up. This paper will subsequently analyze the different cases where mediation was used to settle the insurance claims and success of the respective programs. Lastly, this paper will then look at the implications for system designers and mediators, and finally conclude with recommendations for the furtherance of mass mediation.
Phenotypic Screening of Rice Cultures for Resistance against Brown Plant Hopper (Nilaparvata lugens Stal) at Warangal, India
Authors: Kumar R. Shravan , Hari Y. , Prasad K. Rajendra , Chandra B. Satish , Nagabhushanam U. , Madavi B. , Neelima G. , Ashwini D. , Venkanna V. , Reddy R. Uma 
Published: August 2024

Brown planthopper (BPH), Nilaparvatalugens Stal (Homoptera: Delphacidae), is one of the most destructive insect pests causing significant yield losses in rice production. During Kharif, 2021, a set of 91 rice cultures were screened against brown plant hopper (BPH) through standard seed box technique in screen house at Regional Agricultural Research Station, Warangal. Resistant checks RP 2068-18-3-5 recorded Damage Score (DS) of <3, Mo-1 recorded DS of 3.67, PTB 33 recorded DS of 3.29. Mean damage score was 8.94 in the susceptible check Taichung Native 1(TN-1) against BPH. The 2 entries viz., RPGP-1066-36-12-1-2 and WS-18-OYT-72/BPH were found to be highly resistant to BPH. RPGP-1386-3-1-1-1 was found to be resistant to BPH. 5 entries viz., BPT 3025, RPGP-1011-100-56-1-4-1, RPGP-2212-8-1-2-2, KNM 12505 and WS-18-AYT-10/BPH were found to be moderately resistant to BPH. Cultivation of resistant cultures will reduce the cost of plant protection against BPH in addition to protection of natural enemies and environment. The rice cultures exhibiting resistance against BPH may be helpful in crossing programmes to develop BPH resistant varieties which shall be used in IPM as a component.
Organoleptic Evaluation of Tree Bean (Yongchak) Dishes of Manipur and Value Added Cutlet with Incorporation of Tree Bean (Parkia roxbhurghii)
Authors: Phurailatpam Nancy , Singh Namita , ST Pavan Kumar 
Published: August 2024

Aims: Tree bean or commonly known as petai or yongchak, scientifically Parkia roxburghii is an underrated leguminous plat found in the India’s north east region and other South East Asian countries. This study aims at organoleptic evaluation of four commonly eaten tree bean dishes of Manipur and developing a value added tree bean cutlet for acceptability. Even though it is consumed in North eastern India, value addition of tree bean products is very few.
Study Design: Descriptive Experimental design.
Place and Duration of Study: Department of Food and Nutrition, College of Community Science, Central Agricultural University, Tura, Meghalaya, Between March and April, 2024.
Methodology: 9 point hedonic rating scale was used to taste the sensory attribute, with 1 being disliked extremely and 9 being liked extremely. The data were analyzed using the descriptive statistics and Kruskal-Wallis test.
Results: There is significant (p = 0.05) difference in the appearance, texture, taste and aroma among the sample products. Within the ten pairs, four of them were found to be significant which are 30 % fresh- 20 % fresh, 30% fresh- control, 30%powder- 20% fresh and 30% powder- control.
Conclusion: When the sensory qualities were evaluated, the 20 percent fresh and the control sample were found to be the most acceptable, while the 30 percent fresh had the lowest acceptability. It concluded that with the percentage increase in incorporation, the level of acceptance decreases. The findings show that the eromba is the most well-liked dish and the curry is the least. And the smell of tree bean was more in higher formulation percentage. More products can be developed with tree bean addition.
The calculation of moment uncertainties from velocity distribution functions with random errors
Authors: Gershman Daniel J. , Dorelli John C. , F.‐Viñas Adolfo , Pollock Craig J. 
Published: May 2015

AbstractInstrumentation that detects individual plasma particles is susceptible to random counting errors. These errors propagate into the calculations of moments of measured particle velocity distribution functions. Although rules of thumb exist for the effects of random errors on the calculation of lower order moments (e.g., density, velocity, and temperature) of Maxwell‐Boltzmann distributions, they do not generally apply to nonthermal distributions or to higher‐order moments. To date, such errors have only been estimated using brute force Monte Carlo techniques, i.e., repeated (~50) samplings of distribution functions. Here we present a mathematical formalism for analytically obtaining uncertainty estimates of plasma moments due to random errors either measured in situ by instruments or synthesized by particle simulations. Our uncertainty estimates precisely match the statistical variation of simulated plasma moments and carry the computational cost equivalent of only ~15 Monte Carlo samplings. In addition, we provide the means to calculate a covariance matrix that can be reported along with typical plasma moments. This matrix enables the propagation of statistical errors into arbitrary coordinate systems or functions of plasma moments without the need to reanalyze full distribution functions. Our methodology, which is applied to electron data from Plasma Electron and Current Experiment on the Cluster spacecraft as an example, is relevant to both existing and future data sets and requires only instrument‐measured counts and phase space densities reported for a set of calibrated energy‐angle targets.
The relationship between Monte Carlo estimators of heterogeneity and error for daily to monthly time steps in a small Minnesota precipitation gauge network
Authors: Wright Michael , Ferreira Celso , Houck Mark , Giovannettone Jason 
Published: May 2015

AbstractPrecipitation quantile estimates are used in engineering, agriculture, and a variety of other disciplines. Index flood regional frequency methods pool normalized gauge data in the case of homogeneity among the constituent gauges of the region. Unitless regional quantile estimates are outputted and rescaled at each gauge. Because violation of the homogeneity hypothesis is a major component of quantile estimation error in regional frequency analysis, heterogeneity estimators should be “reasonable proxies” of the error of quantile estimation. In this study, three Monte Carlo heterogeneity statistics tested in Hosking and Wallis (1997) are plotted against Monte Carlo estimates of quantile error for all five‐or‐more‐gauge regionalizations in a 12 gauge network in the Twin Cities region of Minnesota. Upper‐tail quantiles with nonexceedance probabilities of 0.75 and above are examined at time steps ranging from daily to monthly. A linear relationship between heterogeneity and error estimates is found and quantified using Pearson's r score. Two of Hosking and Wallis's (1997) heterogeneity measures, incorporating the coefficient of variation in one case and additionally the skewness in the other, are found to be reasonable proxies for quantile error at the L‐moment ratio values characterizing these data. This result, in addition to confirming the utility of a commonly used coefficient of variation‐based heterogeneity statistic, provides evidence for the utility of a heterogeneity measure that incorporates skewness information.
Self‐healing of cement fractures under dynamic flow of CO2‐rich brine
Authors: Cao Peilin , Karpyn Zuleima T. , Li Li 
Published: May 2015

AbstractFractures and defects in wellbore cement can lead to increased possibilities of CO2 leakage from abandoned wells during geological carbon sequestration. To investigate the physicochemical response of defective wellbore cement to CO2‐rich brine, we carried out a reactive flow‐through experiment using an artificially fractured cement sample at a length of 224.8 mm. A brine solution with dissolved CO2 at a pH of approximately 3.9 was injected through the sample at a constant rate of 0.0083 cm3/s. Surface optical profilometry analysis and 3‐D X‐ray microtomography imaging confirmed fracture closure and self‐healing behavior consistent with the measured permeability decrease. Visual inspection of the reacted fracture surface showed the development of reactive patterns mapping the flow velocity field inside the fracture, as well as restricted flow toward the sample outlet. The postexperiment permeability of the core sample was measured at half of its initial permeability. A reactive transport model was developed with parameters derived from the experiment to further examine property evolution of fractured cement under dynamic flow of CO2‐rich brine. Sensitivity analysis showed that residence time and the size of initial fracture aperture are the key factors controlling the tendency to self‐healing or fracture opening behavior and therefore determine the long‐term integrity of the wellbore cement. Longer residence time and small apertures promote mineral precipitation, fracture closure, and therefore flow restriction. This work also suggests a narrow threshold separating the fracture opening and self‐sealing behavior.
Nonstationarity in seasonality of extreme precipitation: A nonparametric circular statistical approach and its application
Authors: Dhakal Nirajan , Jain Shaleen , Gray Alexander , Dandy Michael , Stancioff Esperanza 
Published: May 2015

AbstractChanges in seasonality of extreme storms have important implications for public safety, storm water infrastructure, and, in general, adaptation strategies in a changing climate. While past research on this topic offers some approaches to characterize seasonality, the methods are somewhat limited in their ability to discern the diversity of distributional types for extreme precipitation dates. Herein, we present a comprehensive approach for assessment of temporal changes in the calendar dates for extreme precipitation within a circular statistics framework which entails: (a) three measures to summarize circular random variables (traditional approach), (b) four nonparametric statistical tests, and (c) a new nonparametric circular density method to provide a robust assessment of the nature of probability distribution and changes. Two 30 year blocks (1951–1980 and 1981–2010) of annual maximum daily precipitation from 10 stations across the state of Maine were used for our analysis. Assessment of seasonality based on nonparametric approach indicated nonstationarity; some stations exhibited shifts in significant mode toward Spring season for the recent time period while some other stations exhibited multimodal seasonal pattern for both the time periods. Nonparametric circular density method, used in this study, allows for an adaptive estimation of seasonal density. Despite the limitation of being sensitive to the smoothing parameter, this method can accurately characterize one or more modes of seasonal peaks, as well as pave the way toward assessment of changes in seasonality over time.
A harmonic pulse testing method for leakage detection in deep subsurface storage formations
Authors: Sun Alexander Y. , Lu Jiemin , Hovorka Susan 
Published: May 2015

AbstractDetection of leakage in deep geologic storage formations (e.g., carbon sequestration sites) is a challenging problem. This study investigates an easy‐to‐implement frequency domain leakage detection technology based on harmonic pulse testing (HPT). Unlike conventional constant‐rate pressure interference tests, HPT stimulates a reservoir using periodic injection rates. The fundamental principle underlying HPT‐based leakage detection is that leakage modifies a storage system's frequency response function, thus providing clues of system malfunction. During operations, routine HPTs can be conducted at multiple pulsing frequencies to obtain experimental frequency response functions, using which the possible time‐lapse changes are examined. In this work, a set of analytical frequency response solutions is derived for predicting system responses with and without leaks for single‐phase flow systems. Sensitivity studies show that HPT can effectively reveal the presence of leaks. A search procedure is then prescribed for locating the actual leaks using amplitude and phase information obtained from HPT, and the resulting optimization problem is solved using the genetic algorithm. For multiphase flows, the applicability of HPT‐based leakage detection procedure is exemplified numerically using a carbon sequestration problem. Results show that the detection procedure is applicable if the average reservoir conditions in the testing zone stay relatively constant during the tests, which is a working assumption under many other interpretation methods for pressure interference tests. HPT is a cost‐effective tool that only requires periodic modification of the nominal injection rate. Thus it can be incorporated into existing monitoring plans with little additional investment.
Comparison of two stochastic techniques for reliable urban runoff prediction by modeling systematic errors
Authors: Del Giudice Dario , Löwe Roland , Madsen Henrik , Mikkelsen Peter Steen , Rieckermann Jörg 
Published: May 2015

AbstractIn urban rainfall‐runoff, commonly applied statistical techniques for uncertainty quantification mostly ignore systematic output errors originating from simplified models and erroneous inputs. Consequently, the resulting predictive uncertainty is often unreliable. Our objective is to present two approaches which use stochastic processes to describe systematic deviations and to discuss their advantages and drawbacks for urban drainage modeling. The two methodologies are an external bias description (EBD) and an internal noise description (IND, also known as stochastic gray‐box modeling). They emerge from different fields and have not yet been compared in environmental modeling. To compare the two approaches, we develop a unifying terminology, evaluate them theoretically, and apply them to conceptual rainfall‐runoff modeling in the same drainage system. Our results show that both approaches can provide probabilistic predictions of wastewater discharge in a similarly reliable way, both for periods ranging from a few hours up to more than 1 week ahead of time. The EBD produces more accurate predictions on long horizons but relies on computationally heavy MCMC routines for parameter inferences. These properties make it more suitable for off‐line applications. The IND can help in diagnosing the causes of output errors and is computationally inexpensive. It produces best results on short forecast horizons that are typical for online applications.
Sea‐ice reemergence in a model hierarchy
Authors: Bushuk Mitchell , Giannakis Dimitrios 
Published: May 2015

AbstractLagged correlation analysis of Arctic sea‐ice area reveals that melt season sea‐ice anomalies tend to recur the following growth season, and growth season anomalies tend to recur the following melt season. In this work, a climate model hierarchy is used to investigate the relative role of the atmosphere and the ocean in driving this phenomenon, termed sea‐ice reemergence. The covariability of sea‐ice concentration (SIC), sea surface temperature (SST), and sea level pressure (SLP) is studied via coupled nonlinear Laplacian spectral analysis, and families of modes that capture reemergence are constructed. In model configurations with ocean‐to‐atmosphere coupling, these “reemergence families” display a pan‐Arctic scale organization of SIC anomalies, related to SLP teleconnection patterns. The ocean is found to provide the key source of memory for reemergence, as an SST‐based reemergence mechanism can operate as a stand‐alone process, while an SLP‐based mechanism cannot. Dynamical feedback from the ocean to the atmosphere is found to be essential in creating large‐scale organized patterns of SIC‐SLP covariability.