Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinant on The Structural Performance of Krisnadwipayana University

The rise of knowledge-based technopreneurship has led to significant changes in work and the demands placed on organizations. Organizations are required to become a repository of innovation and nurture and retain talent resources. The primary purpose of this study is to investigate the impact that technological entrepreneurship, process innovation, and administrative innovation have had on the structural performance of Krisnadwipayana University. Students who made use of various smart government services were selected through a process known as random sampling. A total of 700 respondents were asked to participate in the survey, but only 403 did so, yielding a response rate of 57.57%. After removing missing data, outliers, and questionable replies, 372 respondents were evaluated. SmartPLS 3.0 was used to analyze research models using PLS and SEM-VB. The findings of this study add to what is known about technopreneurship in the academic and public sectors. They look at how innovations in technology, processes, and management affect the academic and administrative success of Krisnadwipayana University students.
Therapeutic Effects of IL-1RA against Acute Bacterial Infections, including Antibiotic-Resistant Strains

Innate immunity is essential for the anti-microbial defense, but excessive immune activation may cause severe disease. In this study, immunotherapy was shown to prevent excessive innate immune activation and restore the anti-bacterial defense. E. coli-infected Asc−/− mice develop severe acute cystitis, defined by IL-1 hyper-activation, high bacterial counts, and extensive tissue pathology. Here, the interleukin-1 receptor antagonist (IL-1RA), which inhibits IL-1 hyper-activation in acute cystitis, was identified as a more potent inhibitor of inflammation and NK1R- and substance P-dependent pain than cefotaxime. Furthermore, IL-1RA treatment inhibited the excessive innate immune activation in the kidneys of infected Irf3−/− mice and restored tissue integrity. Unexpectedly, IL-1RA also accelerated bacterial clearance from infected bladders and kidneys, including antibiotic-resistant E. coli, where cefotaxime treatment was inefficient. The results suggest that by targeting the IL-1 response, control of the innate immune response to infection may be regained, with highly favorable treatment outcomes, including infections caused by antibiotic-resistant strains.
Comparative Transcript Profiling and Multiplex qRT-PCR Analysis Between Salt-Tolerant and Sensitive Wheat Genotypes

Identification of candidate genes combined with gene expression profiling carries importance to facilitate the molecular basis of salt stress response in plants. Here, cDNA-AFLP was used to compare the transcribed sequences among two bread and two durum wheat genotypes with different levels of salt tolerance. Transcript derived fragments (TDFs) screened on polyacrylamide gels and 36 salt stress induced unique fragments were detected in salt tolerant bread wheat genotype (Alpu cv.). The fragment size of these 36 TDFs was ranged between 99bp to 252bp. Full sequence information of 14 TDFs were obtained after cloning, then GeXP analyzer-based multiplex qRT-PCR assay was performed on leaf tissue derived from 12 TDFs. Targeted gene expression levels of two TDFs (TDF4-GT066302 and TDF11-GT066301) were showed clear upregulation in salt tolerant bread wheat genotype (Alpu cv.) and they were matched with hypothetical proteins. Especially, gene expression level of GT066301 was increased as 3.28 fold at 27th hours of salt stress for salt tolerant genotype. According to blastx similarity results, out of 14 sequenced fragments, two TDFs were closely matched with “cytochrome P450 monooxygenase” protein while four of them matched with Oryza “hypothetical” and “unknown” proteins. Outputs of this study might ensure comparative data for hypothetical protein gene expression and new useful alleles in response to salt stress in wheat.
Sentiment Analysis of Regional Head Candidate’s Electability from the National Mass Media Perspective Using the Text Mining Algorithm

A R T I C L E I N F O A B S T R A C T Article history: Received: 08 January 2019 Accepted: 08 March 2019 Online: 20 March 2019 Mass media plays an important role in leading public opinion, including in the election of regional head candidates. The tendency of mass media coverage can be used as a parameter to measure the strength of each regional head candidate. To analyze the tendency of media opinion, sentiment analysis is needed. In this study, text mining techniques were used to analyze opinion sentiments of a regional head election in East Java from the national media perspective. The researcher used the Support Vector Machine algorithm to build a sentiment analysis model. News documents about candidates for the regional head in East Java 2018 were taken from national mass media samples, namely JPNN, Kompas, Detik and Republika. From the test results, the model built on Khoffifah's data as a candidate for regional head number one has a value of precision, recall and AUC of 0.927, 0.931 and 0.902, respectively. Furthermore, the model built on Gus Ipul's data as a candidate for regional head number two has a value of precision, recall, and AUC of 0.940, 0.948 and 0.890 respectively. The models built on both data shows good performance with accurate estimation results. Based on the data obtained, the national media tends to have alignments to the regional head candidate number two namely Gus Ipul.
Congestion Avoidance in Mobile Ad-Hoc Networks, through Cooperative AODV Routing

In MANET, congestion is severe problem and in spite of the lot of works already done in the area, still due to involvement of new techniques and devices it is required to be reconsidered again. Congestion control using congestion window management has also been addressed earlier but there is no algorithm proposed which is controlling congestion window dynamically using packet count and information received from the neighbor nodes about packet count. CARMAN helps in avoiding congestion and provides a network layer solution. It is an extension of CORMAN to provide pipeline transmission of data packets for long distance multihop transmissions. The objectives of CARMAN algorithm are it allows pipeline data transmission for long distance multipath transmission and also provides faster transmission of data packets avoiding congestion. Measure challenges faced in CARMAN are Hop Count Calculation. The CARMAN faces the problems due to application of hop count based calculations for data forwarding and will not be suitable for large networks. This work proposes to eliminate the hop count threshold calculation. It also proposes to use AODV protocol for testing the proposed improved congestion control.
Effect of V/Mo Atomic Ratio on the Microstructure and Mechanical Properties of MoVCuN Coatings

To improve the gas ionization ratio, the Mo-V-Cu-N coatings were deposited by pulsed dc magnetron sputtering with assistance from an anode layer ion source, and the influence of the V/Mo atomic ratio was explored with regard to the microstructure and mechanical properties of the coatings. The findings of this study indicated that the MoVCuN coatings exhibited a solid solution phase of FCC B1-MoVN with a prominent (220) preferred orientation, and the deposition rate was found to decrease from 4.7 to 1.8 nm/min when the V/Mo atomic ratio increased. The average surface roughness of the MoVCuN coatings gradually decreased, and the lowest surface roughness of 6.9 nm was achieved at a V/Mo atomic ratio of 0.31. Due to the enhanced ion bombardment effect, the coatings changed from a coarse columnar to a dense columnar crystal structure, and promoted grain refinement at higher V/Mo atomic ratios, contributing to a gradual improvement in the compressive residual stress, hardness and adhesion strength of the coatings.
Muzakki's Perception Regarding Implementation Good Corporate Governance (GCG) Against Muzakki's Trust in OPZ

The management of zakat funds as an instrument for reducing poverty in Indonesia is still not optimal. The potential for zakat funds in Indonesia reaches 327 trillion, while the total funds raised by the Zakat Management Organization (OPZ) are still less than 4%, which is 12,429 trillion. This shows that muzakki's trust in OPZ is still low, one of the things that affects muzakki's trust is the implementation of Good Corporate Governance (GCG) carried out by zakat institutions. Muzakki can see the implementation of GCG through the accountability and transparency of the institution. This research was conducted by interviewing 100 muzakki who were then analyzed using the partial least squares (PLS) method. The conclusion from this study is that the implementation of GCG has a significant effect on trust.
Comprehensive Pan-Cancer Mutation Density Patterns in Enhancer RNA

Significant advances have been achieved in understanding the critical role of enhancer RNAs (eRNAs) in the complex field of gene regulation. However, notable uncertainty remains concerning the biology of eRNAs, highlighting the need for continued research to uncover their exact functions in cellular processes and diseases. We present a comprehensive study to scrutinize mutation density patterns, mutation strand bias, and mutation burden in eRNAs across multiple cancer types. Our findings reveal that eRNAs exhibit mutation strand bias akin to that observed in protein-coding RNAs. We also identified a novel pattern, in which mutation density is notably diminished around the central region of the eRNA, but conspicuously elevated towards both the beginning and end. This pattern can be potentially explained by a mechanism involving heightened transcriptional activity and the activation of transcription-coupled repair. The central regions of the eRNAs appear to be more conserved, hinting at a potential mechanism preserving their structural and functional integrity, while the extremities may be more susceptible to mutations due to increased exposure. The evolutionary trajectory of this mutational pattern suggests a nuanced adaptation in eRNAs, where stability at their core coexists with flexibility at their extremities, potentially facilitating their diverse interactions with other genetic entities.
A MULTIVARIATE LOGISTIC ANALYSIS ON FACTORS AFFECTING THE MARKET PARTICIPATION OF SMALLHOLDER INDIGENOUS GOAT FARMERS IN MAKUYA VILLAGE OF THE HAMAKUYA COMMUNITY, MUTALE LOCAL MUNICIPALITY, LIMPOPO PROVINCE

Livestock farming, particularly indigenous goat farming, is essential for rural economies, providing food and income. The demand for goat products is growing, encompassing meat, milk, fibres, and skins. Nevertheless, there's limited participation by farmers in formal markets, with most transactions happening privately. The study examined 45 smallholder indigenous goat farmers in Makuya Village, located in the Mutale Local Municipality, Limpopo Province. Data analysis included descriptive statistics and a multivariate logistic model to explore factors influencing market participation. The findings highlighted the diverse community, with a notable presence of male smallholder goat farmers. Several factors affecting market participation were identified, including the age of the farmer, the number of goats owned, distance to the market, and the source of agricultural information. This research offers valuable insights for policymakers and stakeholders, supporting sustainable goat farming and enhanced market engagement in rural areas.
MODELS AND APPROACHES TO CHANGE AND CHANGE MANAGEMENT IN MODERN ORGANISATIONS

This study compares a few well-known change management models to help readers better understand change management. For this reason, this study examines the notion of change and the forces behind organisational change. The analysis demonstrates that, despite certain variations among the models discussed, they all share the division of the change the management system into successive phases and the recognition of the role that human resources play in the process. Additionally, implications and lessons for change management in the public sector were introduced. According to the study's conclusion, companies that struggled to manage change would see a decline in employee loyalty and output. Conversely, companies that successfully handled change would gain a competitive edge that guarantees long-term success. Organisations, particularly those in the public sector, must comprehend and implement change management models in the post-Covid-19 era if they are to improve their capacity for long-term success.
The Role of Self-Efficacy in Improving the Adversity Quotient of Employees

Self-efficacy is one of the factors that can increase individual adversity quotient; this study aims to see the relationship between self-efficacy and adversity quotient in employees of PT XYZ Palembang. This research method uses a correlational quantitative approach; the subjects in this study were 105 employees of PT XYZ Palembang using simple random sampling. The research instrument used is the psychological scale of self-efficacy and adversity quotient. Furthermore, the data were analyzed using a simple regression test. The results of this study obtained a relationship between self-efficacy and adversity quotient in employees of PT XYZ Palembang with the results of hypothesis testing obtained, namely the results obtained based on the correlation value between the self-efficacy variable and adversity quotient, namely with a value of r = 0.397 with a value of R square = 0.157 and p = 0.000 where the value of p < 0.01. This shows that there is a relationship between self-efficacy and adversity quotient in employees of PT XYZ Palembang.Keywords: self-efficacy, adversity quotient, holding company
Application of Remote Sensing, Geology And Geomorphological Studies For Mass Wasting Zone Analysis In Jotiba- Panhala Hill Range Area, Kolhapur District, Maharashtra, India

Jotiba-Panhala hill range trending eastwest and play a vital role as a water divider between Panchaganga and Varna rivers sub-basins in Kolhapur district, Maharashtra. For present research 483.7 sq. km. area is selected for mass wasting zonation analysis. The highest elevation in area is 991 meters and the lowest is 533 meters. The drainage pattern observed is dendritic to sub dendritic. Most of the area shows high drainage density and stream frequency indicating the area is low permeability in nature. Geologically, study area belongs to Deccan Volcanic Province (DVP) of Upper Cretaceous to Lowe Eocene age. On the top of the hill laterite rock is formed due to in situ chemical weathering of basalt. It is of late Pleistocene age. Lithostratigraphically, study area is belongs to Mahableshwar formation of Upper Deccan Traps. In present study, Remote sensing and Geographical Information System (GIS) techniques are used with the help of Resourcesat1, LISS-III, 24 m. , satellite image January 2013 (Downloaded from Bhuvan), SRTM DEM-1-arc~30 meter resolution (Downloaded from USGS) and SOI toposheets on 1:50000 scale with adequate ground truth in ArcGIS 10.1 and ERDAS 2014 software. In the present research, it is found that weathered parts of lava flows, regoliths and talus deposits, during rainy season due to heavy rainfall in short period of time lose their strength and landslides occurs. High rainfall generally is the main cause of landslides. Some other causes are terrain factors such as slope, lithology, geological structures, land use/ land cover and geomorphology of the area. Finally Landslide susceptible zone map is developed for planning, development and risk management.
The Mediating Effect of AI Trust on AI Self-Efficacy and Attitude Toward AI of College Students

This quantitative study investigated the mediating effect of AI trust on the relationship between AI self-efficacy and attitude toward AI of college students in Region XI, Philippines. Using adapted questionnaires, the data were gathered online via Google Forms, where the respondents were selected using stratified random sampling. Validity and reliability tests were employed on the measurement model, descriptive statistics were also used to describe the constructs in the study, while mediation analysis using the standard algorithm-bootstrapping of SmartPLS 4.0 was performed to assess the hypothesized mediation model. The findings revealed that the constructs of the study are valid and reliable. Moreover, college students also demonstrated moderate levels of AI trust and attitude toward AI and a high level of AI self-efficacy. Finally, the mediation analysis suggests that AI trust is deemed to have a substantial mediating effect on the relationship between AI self-efficacy and attitude toward AI of college students.
Life Expectancy and Causes of Premature Death by Subgroup for Community-Based Action in Marin County, California, 2017-2021

Introduction: Marin is a medium-sized county in California’s San Francisco Bay Area. Despite its historically higher-than-average life expectancy and socioeconomic level, known economic and health disparities by race, ethnicity, and geography became more visible during the COVID-19 pandemic. Methods: We calculated life expectancy, measured years of potential life lost (YPLLs), and described premature mortality for the five years of 2017-2021 by race, ethnicity, census tract, and resource level (as measured by Healthy Places Index [HPI]) to provide data on inequities to guide community-centered action to reduce premature mortality. Results: Life expectancy for the county was 85.2 years. The non-Hispanic African American/Black population experienced the lowest life expectancy of 77.1 years, 11.6 years lower than the non-Hispanic Asian population which had the highest life expectancy (88.7 years). There was a 14.9-year difference in life expectancy between the census tracts with the lowest (77.1 years) and highest (92.0 years) estimates. We found a moderate, positive association between census tract resource level (HPI) and life expectancy (r=0.58, p<0.01). The leading causes of premature death were cancer, diseases of the circulatory system, and accidental overdoses, with variation by subgroup. Conclusion: These data highlight health disparities that persist in Marin County and can inform data-driven public health strategies to narrow gaps in longevity between communities.
DISCUSSION ON INDIVIDUAL EDUCATIONAL TRAJECTORY AS AN INTEGRAL COMPONENT OF CONTINUOUS PROFESSIONAL DEVELOPMENT

The system of continuous professional development of doctors in Ukraine needs detailed analysis and comprehensive dynamic monitoring to become a process that includes the possibility of a doctor’s professional growth. The research aims to monitor approaches to the continuous professional development of dentists for the formation and improvement of professional competence skills by highlighting the role of individual educational trajectory based on the priority of work formats with professional information, methods of familiarization with it and its receiving. 2216 respondents took part in the research, filling out a questionnaire during scientific and practical events of professional schools for dentists in online mode in March 2023, which included questions on the definition and objectification of forms, formats, ways of implementing continuous professional development and the vision of approaches to acquiring new knowledge and skills. The data obtained was processed using the StatSoft Inc licence program. Analytical research methods and structural-logical analysis were applied. According to the survey results, an individual's educational trajectory should include attending lectures, professional seminars, working with scientific and practical publications. The main quality requirement for publications is their good illustration of clinical cases and algorithms for working with patients. The analysis results of the rating parameters of professional dental journals declare the request of the dental community to improve the quality of material content, visual design and a possible change in positioning.
Self-Actualization and Anxiety in Early Adult Female Victims of Domestic Violence During Childhood

Domestic violence (DV) is one of the forms of violence that affects not only adults but also children. Experiencing or witnessing DV in childhood can have long-term psychological impacts, such as the development of an anxious personality in adulthood. As individuals grow, they need to fulfill specific needs to achieve self-actualization, including safety needs. Individuals with high anxiety are most likely to have a threatened sense of security. Thus, the anxiety is predicted to be related to self-actualization. This research aims to investigate the relationship between self-actualization and anxiety in adult women who were victims of DV during childhood, with a total of 240 early adult women. The data analysis method is quantitative correlational. The findings revealed a correlation coefficient of -0.523 with a significance value of 0.000 (p < 0.05), indicating a negative correlation between self-actualization and anxiety in early adult women who experienced DV during childhood.Keywords: Anxiety, Self-Actualization, Domestic Violence
Pengaruh Pendekatan Ethno-RME terhadap Kemampuan Pemahaman Konsep Matematis Siswa

Penelitian ini dilatarbelakangi oleh rendahnya kemampuan pemahaman konsep matematis yang terlihat pada hasil belajar siswa kelas VIII SMPN 1 Bangkinang kota Penelitian ini bertujuan untuk mengetahui apakah kemampuan pemahaman konsep siswa kelas VIII SMPN 1 Bangkinang kota yang menerapkan Pendekatan Ethno-RME lebih baik daripada kemampuan pemahaman konsep matematis siswa yang menerapkan pembelajaran konvensional. Jenis penelitian ini adalah penelitian eksperimen, dengan teknik sampel Random Sampling terhadap subjek. Populasi dalam penelitian ini adalah siswa kelas VIII SMPN 1 Bangkinang kota Tahun Pelajaran 2022/2023 yang terdiri dari 2 kelas. Adapun yang menjadi sampel dalam penelitian ini yaitu VIII D sebagai kelas eksperimen dan VIII E sebagai kelas kontrol. Instrumen yang digunakan dalam penelitian ini adalah tes akhir pemahaman konsep matematis. Teknik analisis data yang digunakan adalah uji T test dan uji N gain dengan bantuan SPSS 22. Berdasarkan Uji N-Gain Score untuk kelas eksperimen dengan pendekatan Ethno-RME adalah sebesar 56.68 % termasuk dalam kategori cukup efektif, dapat disimpulkan bahwa penggunaaan pendekatan Ethno-RME cukup efektif untuk meningkatkan kemampuan pemahaman konsep matematis.
Long-Term Exposure to Supraphysiological Levels of Testosterone Impacts Rat Submandibular Gland Proteome

The salivary glands play a central role in the secretion of saliva, whose composition and volume affect oral and overall health. A lesser-explored dimension encompasses the possible changes in salivary gland proteomes in response to fluctuations in sex hormone levels. This study aimed to examine the effects of chronic exposure to testosterone on salivary gland remodeling, particularly focusing on proteomic adaptations. Therefore, male Wistar rats were implanted with subcutaneous testosterone-releasing devices at 14 weeks of age. Their submandibular glands were histologically and molecularly analyzed 47 weeks later. The results underscored a significant increase in gland mass after testosterone exposure, further supported by histologic evidence of granular duct enlargement. Despite increased circulating sex hormones, there was no detectable shift in the tissue levels of estrogen alpha and androgen receptors. GeLC-MS/MS and subsequent bioinformatics identified 308 proteins in the submandibular glands, 12 of which were modulated by testosterone. Of note was the pronounced upregulation of Klk3 and the downregulation of Klk6 and Klk7 after testosterone exposure. Protein–protein interaction analysis with the androgen receptor suggests that Klk3 is a potential target of androgenic signaling, paralleling previous findings in the prostate. This exploratory analysis sheds light on the response of salivary glands to testosterone exposure, providing proteome-level insights into the associated weight and histological changes.