bluuebunny/crossref_metadata_2025_split huggingface dataset:
Unveiling research patterns in employee engagement and performance: A bibliometric study
Authors: Jeganathan Vijayalakshmi , Navamani Sumathi Gunasekaran 
Published: December 2024

Bibliometric analysis is a quantitative method for examining scientific literature by focusing on its external characteristics.The aim of bibliometric analysis is to examine the steady development of research on employee engagement and performance from 2014-2023. Interest in employee engagement and performance has increased significantly since 2018.The Scopus database yielded a total of 181 papers related to employee engagement and employee performance. Several aspects of the bibliometric analysis were examined, including the total number of citations, the articles, and authors with many citations, the journals with the highest rates of citations, and the global networks of countries active in research. The study shows trends in the yearly growth of publications and the addition of essential keywords in the research domain. It provides information about prestigious academic journals, well-known writers, joint ventures, and countries that are engaged in employee engagement research. With respect to various scholarly works, this material serves to clarify the latest developments. This study provides valuable insights for future researchers since it expertly assesses and analyses the corpus of literature, identifies areas with gaps in knowledge, and proposes new directions for investigation. However, this study's applicability to a wider context is hindered by its exclusive focus on data extraction from a particular database . Although this is an extensive analysis, it does not address all potential perspectives. Future studies may also investigate a variety of other aspects, including organizational culture, leadership, employee motivation, employee voice, and the organizational environment that affect employee engagement.
Evaluating the impact of marketing mix by using machine learning for digital marketing
Authors: Ullal Mithun S. , Birau Ramona , Popescu Virgil 
Published: December 2024

This paper evaluates the causal impact of digital marketing on customers' purchase decisions by leveraging advances in machine learning. We analyze buyer behavior under various digital marketing conditions and identify key performance drivers. Our findings emphasize the pivotal role of content in digital marketing. We assess how customized content, multiple offers, and customer decisions influence buying behavior via the AIDA model. Our methodology reveals optimal combinations of content and stimuli across different stages of the AIDA model. Clearance sales significantly enhance buying decisions and conversion rates, particularly in scenarios with high engagement but low conversion. We provide insights into how marketing policies can be optimized for higher sales through targeted content strategies. The study gives an accurate measure of heterogenous treatment effects, helping companies with valuable insights. This helps us understand the importance of segmentations for assessing causal effects and improving sales. The impact of the design elements and marketing interventions is understood by observational and experimental studies. The study used heterogeneous effects of digital ad treatments by using machine learning techniques to identify endogenous treatment responses. Individual ad impact through the AIDA model was studied, measuring the effect of treatment components. The results show that the effect of digital marketing is dependent on customer engagement. Practitioners can gather valuable insights through differential effects based on engagement levels. This will help them refine targeting according to semantic and promotional signals. Contextual signals can be applied to differential promotional strategies addressing existing deficiencies in targeting.
Usulan Desain User interface Website Perguruan Tinggi Berdasarkan Aspek Kognitif dan Afektif Pengguna
Authors: Cahyono Taufiq Agung , Prasetya Agung 
Published: December 2024

Dengan pesatnya perkembangan teknologi informasi merubah banyak sudut pandang dari berbagai unsur, tidak terkecuali lembaga perguruan tinggi dalam berinteraksi dengan berbagai pemangku kepentingan. Pemanfaatan teknologi digital, khusunya website telah menjadi aspek penting dalam memperkuat citra perguruan tinggi dan berinteraksi dengan masyarakat luas. Website perguruan tinggi saat ini menjadi titik kontak pertama kali bagi calon mahasiswa, orangtua, alumni dan pemangku kepentingan lainya. Namun ada kalanya tampilan user interface tidak sepenuhnya memenuhi ekspektasi pengguna. Salah satu penyebanya adalah tidak sesuainya desain user interface tersebut dengan kemampuan ergonomi pengguna. Dapat disimpulkan bahwa desain user interface website perguruan tinggi yang efektif, bukan hanya soal estetika namun desain user interface juga harus memperhitungkan kemampuan kognitif dan afektif sehingga memenuhi usability yang memudahkan pengguna dalam menemukan informasi yang mereka butuhkan. Tujuan penelitian ini adalah mencari pengaruh peran komponen desain terhadap aspek kognitif, afektif dan sikap pengguna. Serta memberikan usulan desain user interface website untuk perguruan tinggi yang mempertimbangkan kemampuan ergonomi manusia. Metode kuantitatif merupakan metode yang digunakan dalam penelitian ini. Metode dilakukan dengan cara menyebar kuisioner kepada responden kemudian hasil kuisioner akan diolah menggunakan aplikasi smartPLS 4 untuk mengetahui hubungan antar variabel penelitian. Temuan dari penelitian ini adalah komponen desain font dan layout memberikan pengaruh signifikan terhadap hubungan kognitif dengan sikap. Sedangkan komponen desain warna memberikan pengaruh signifikan terhadap hubungan kognitif dengan sikap dan hubungan dengan afektif dengan sikap. Dari penelitian ini juga didapatkan bahwa font dengan jenis roboto, layout dengan jenis modular dan warna background biru menjadi yang paling dominan dipilih oleh responden.
Global Plastic Waste Management: Analyzing Trends, Economic and Social Implications, and Predictive Modeling Using Artificial Intelligence
Authors: Syed Ali Reza  , Muhammad Shoyaibur Rahman Chowdhury  , Saddam Hossain  , Muhammad Hasanuzzaman  , Reza E Rabbi Shawon  , Bivash Ranjan Chowdhury  , MD Sohel Rana  
Published: December 2024

Plastic waste, which is a result of human activities in America, has become one of the most critical environmental issues in the 21st century, and this calls for an urgent prescription of strategies at a global management level. The pervasiveness of plastic in modern life has created an unparalleled surge in plastic waste, which, unless adequately managed, is poised to pose severe threats to ecosystems, human health, and the global economy. The utmost objective of this study was to perform an extensive analysis of global plastic waste management practices in the USA, with a specific concentration on pinpointing the economic and social implications of these practices. This research project therefore intends to probe into the waste management practice applied in different countries for understanding the various best practices, challenges, and areas of improvement. The research project also aimed to employ AI-driven predictive models, notably, gradient boosting algorithm, linear regression, and random forest to predict the future trends in plastic wastes generated. Diverse datasets were used, to ensure that the study of global plastic waste management practices was comprehensive. Primary data on the conditions of global plastic waste generation was obtained through the World Bank's database, which provides detailed data on waste composition, generation rate, and methods of disposal in many countries. Also, the sources of economic indicators were OECD reports and UNEP publications on the hidden economic costs of plastic waste to municipal budgets. Data on its social impact, such as health effects and metrics involving environmental pollution, were provided by the World Health Organization through studies it conducted along with reports from environmental NGOs such as Greenpeace. The Gradient Boosting model performed the best with relatively high accuracy, followed by Logistic Regression and Random Forest Classifier. Besides, the Gradient Boosting model offered the highest Macro Average F1-score, which suggests better overall performance in balancing precision and recall for all classes. Predictive insights provided by the proposed models are valuable tools to expect future trends and patterns in plastic waste generation. Advanced analytics and machine learning can help predict the volume of plastic waste generated across different geographies and sectors. Application of the predictive models in plastic waste management contexts has huge potential about information and shaping of policy decisions. Predictive analytics can use historical trends on production, consumption, and generation of waste and recycling rates of plastics to create forecasts about the future and define high-risk areas.
Similarity of Chemical Composition in Aqueous Extract of Rosemary and Olive leaves: An Analytical Study
Authors: Mathkoor Maryam Mansoor 
Published: December 2024

In this study, the aqueous extract of rosemary and olive leaves was prepared, after which samples of the prepared extracts were sent to the food laboratories of Agriculture College, Basra University, Iraq, to perform the analysis process using GCMS technology to know the chemical compounds of the extracts. Where it was observed that there are 11 common chemical compounds among the two extracts, some are (exo-2-Hydroxycineole), (2,5-Dimethoxy-4-ethylamphetamine), (Epiglobulol), (Tridecanoic acid), ((-)-Spathulenol) , (Hexadecanoic acid, methyl ester) , (n-Hexadecanoic acid) , (cis-Vaccenic acid) , (Octadecanoic acid).
ENERGY-EFFICIENT HEATING SYSTEM OF TRANSITIONAL METALLURGICAL LADLES
Authors: Trotsenko L.M. , Pylypenko R.A. , Prusky О.А. , Sidelnykova О.M. , Melnykov R.V. 
Published: December 2024

In practice it was confirmed the effective use of the burner device of the diffusion method of natural gas burning in a high-speed direct-flow torch when heating the lining of transitional metallurgical ladles with the closed lid. Three designs of stabilizers for basal stabilization of the torch were developed and studied: 1) with stabilization flares formed when air flows onto 3 corner poorly streamlined stabilizers, in the shadow of which a part of the gas is supplied; 2) with a ring stabilization torch when burning a pre-mixed mixture of natural gas and air; 3) with a sudden expansion of the gas channel, in which a zone of intensive gas recirculation is formed. The GGPK-1.0 burner was developed for transitional ladles that operate within a wide range of changes in thermal power 1–5.29 and stabilizer with constant burning of the ignition ring, which contributes to the stability of combustion and allows the heating of ladles with tightly closed heat-saving lids. After the introduction of the developed burners at all stands for heating the ladles of the “Azovstal” metallurgical plant in 2019–2020 were obtained a significant improvement in the operation of the stands and a reduction in natural gas consumption. The fuel economy during heating the ladles is at least 20 %. The heating temperature of the inner surface of the lining of the transitional ladles is even over the entire surface. The temperature difference on the surface of the lining does not exceed 50 °C. Bibl. 16, Fig. 6.
COMPREHENSIVE TECHNOLOGY FOR UTILIZATION OF ACID CONDENSATE FROM FLUE GAS AFTER BOILER UNITS
Authors: Obodovych O.M. , Tselen B.Ya. , Nedbailo A.Ye. , Ivanytskyi G.K. , Radchenko N.L. , Hozhenko L.P. 
Published: December 2024

This paper presents material related to the comprehensive technology for the utilization of acidic condensate formed at thermal power plants and contains a series of issues related to the processes of neutralization and degassing of the liquid, further carbon dioxide methanation, and water electrolysis. The proposed technology for acidic condensate utilization will address several environmentally oriented issues, including reducing CO2 emissions into the atmosphere, preventing acidic effluents from entering wastewater and natural water bodies, saving water resources, and promoting alternative fuel production. The basis of the technology is a cavitation reactor, which allows almost complete extraction of carbon dioxide gas present in the form of bubbles ranging in size from 5 µm to 0.5 µm. Experimental and theoretical studies of carbon dioxide extraction, the efficiency of liquid neutralization, and the sizes of bubbles that can be activated under the proposed processing regimes for carbon dioxide extraction were conducted to purposefully control the liquid neutralization processes through cavitation mechanisms implemented in the equipment of this technological scheme. The primary idea of the technology was associated with finding ways for effective reagent-free neutralization of condensate by extracting CO2. Treatment of condensate using the proposed technology practically realizes complete extraction of carbon dioxide gas from the liquid contained in bubbles, the concentration of which, according to literature data, ranges from 30 mg/kg to 70 mg/kg in acidic condensate. However, further development of this idea involves using a series of processes that allow avoiding the release of carbon dioxide into the atmosphere after its extraction from the liquid and redirecting this stream to the methanation process for fuel production. Extraction of impurities from the condensate allows obtaining water, which can be used to replenish the water circuit of the boiler or for the water electrolysis process to obtain hydrogen as a raw material for the carbon dioxide methanation process or as an alternative fuel. Bibl. 18, Fig. 5, Tab. 2.
The HUBUNGAN KONDISI FISIK RUMAH DAN PERILAKU DENGAN KEJADIAN DEMAM BERDARAH DENGUE (DBD) DI WILAYAH KERJA PUSKESMAS SOSIAL TAHUN 2024
Authors: Anwar Khairil Anwar , Dwi Maharani Nabila , Maksuk Maksuk 
Published: December 2024

Demam Berdarah Dengue (DBD) adalah jenis penyakit yang disebabkan oleh virus dengue, dan penyebarannya dipermudah oleh vektor perantara yaitu nyamuk Aedes aegypti. Ada beberapa faktor yang dapat mempengaruhi distribusi dan peningkatan kasus DBD dalam suatu daerah yaitu antara lain faktor manusia (host), vektor (nyamuk), virus dengue (agent) dan faktor lingkungan (environment). Adapun tujuan dari penelitian ini adalah untuk mengetahui hubungan kondisi fisik rumah dan perilaku dengan kejadian Demam Berdarah Dengue (DBD) di Wilayah Kerja Puskesmas Sosial Kecamatan Sukarami Kota Palembang Tahun 2024. Penelitian ini bersifat survei analitik dengan pendekatan case control. Penelitian ini menggunakan perbandingan kasus dan kontrol 1:2, dengan jumlah kasus sebanyak 27 kasus dan kontrol sebanyak 54 kontrol, sehingga total sampel dalam penelitian ini adalah 81 sampel. Adapun teknik pengambilan sampel kasus dan kontrol adalah purposive sampling. Data dianalisis menggunakan uji chi-square. Hasil penelitian ini menunjukkan bahwa tidak ada hubungan kondisi fisik rumah dengan p-value (p=0,542), tidak ada hubungan pengetahuan dengan p-value (p=1,000), ada hubungan sikap dengan p-value (p=0,007), ada hubungan tindakan dengan p-value (p=0,022), ada hubungan keberadaan jentik dengan p-value (p=0,045) dengan kejadian DBD di Wilayah Kerja Puskesmas Sosial Kecamatan Sukarami. Kesimpulan dari penelitian ini yaitu ada hubungan yang signifikan antara sikap, tindakan, dan keberadaan jentik, sedangkan tidak ada hubungan yang signifikan antara kondisi fisik rumah dan pengetahuan dengan kejadian DBD di Wilayah Kerja Puskesmas Sosial Kecamatan Sukarami. Kepada petugas puskesmas dan masyarakat, agar lebih meningkatkan kegiatan pencegahan DBD secara sistematis agar dapat mengurangi angka kejadian DBD di wilayah kerja Puskesmas Sosial.
Nutritional status of some selected indigenous leafy vegetables of Assam, india
Authors: Sultana Nazmin , Langthasa Supriya , Goswami Ratna Kinkar 
Published: December 2024

The study aimed to assess the nutritional status of 14 types of indigenous leafy vegetables, namely Houttuynia cordata, Paederia foetida, Alternanthera sessilis, Amaranthus viridis, Eryngium foetidum, Bacopa monnieri, Polygonum chinense, Hydrocotyl rotundifolia, Talinum triangularae, Tetrastigma leucostaphylum, Pogostemon heyneanus, Celosia argentea, Glebionis coronaria and Peperomia pellucia. All the indigenous leafy vegetables contained high amount of moisture, which ranged from 79.38 to 92.80%. The vitamin C content range from 41.86 to 537.24 mg/100g, vitamin A from 35.87 to 8685 IU and protein content was found in between 1.25 to 8.63 g/100g. Among the species total phenol content ranged from 32.30 to 259.10 mg/100g, total flavonoid from 138.20 to 288.90 mg/100g, IC50 value for scavenging DPPH radicals from 24.06 to 214.56 µg/ml and alkaloid content 0.16 to 3.18%. Leafy vegetable also possess good amount of minerals which range from 173.17 to 2109 mg/100g of calcium, 27.48 to 396.17 mg/100g of iron, 141.62 to 4037.00 mg/100g of magnesium and total chlorophyll from 1.02 to 2.49 mg/100g FW. The result of the study revealed that the indigenous leafy vegetables such as Amaranthus viridis, Paederia foetida, Tetrastigma leucostaphylum and Alternanthera sessilis were found to be superior in terms of nutritional attributes with good antioxidant properties.
Bangladesh J. Bot. 53(4): 865-870, 2024 (December)
Effects of different water and fertilizer concentration on leaf area and yield of jujube (ziziphus jujuba mill.)
Authors: He Wei , Xu Zengguang , Luo Lintao 
Published: December 2024

Effects of different water and fertilizer concentrations on the leaf area index, fruit development and yield of jujube trees under bubbled-root irrigation during the growth period were analyzed. The leaf area index of different water and fertilizer treatments reached a peak at the fruit enlargement stage of the jujube tree. The leaf area index reached maximum with high water and medium fertilizer treatment (W1N2). The highest number of fruits per unit branch length appeared in medium water and medium fertilizer treatment (W2N2), while the lowest appeared in low water treatment (W3N0). The highest yield of all treatments was with medium water and medium fertilizer treatment (W2N2) having a yield of more than 30 000 kg/hm2, while the lowest was with low water and high fertilizer treatment (W3N1) having a yield of less than 15 000 kg/hm2. Therefore, medium water and medium fertilizer treatment can be selected to obtain the highest yield of jujube trees.
Bangladesh J. Bot. 53(4): 881-887, 2024 (December)
Effects of mixed cropping and inoculants on yield and quality of forage under different inter cropping ratios of oat and field pea
Authors: Yao Qingzhi , Zhang Xue , Wu Youhan , Qiao Yihua , Yang Yiwen , Yan Weiping 
Published: December 2024

Using forage oat and field pea, this study was conducted to explore the effects of sole and mixed cropping patterns at varying ratios, and microbial inoculant application. The aim was to reveal the comprehensive effects of mixed cropping patterns and microbial inoculation on the above-ground biomass, forage yield, and nutritional quality. The results indicated that mixed cropping significantly increased the above-ground biomass of both oats and field peas. With microbial inoculation, mixed cropping increased dry hay yield by 21.81%, 18.31%, 13.33%, and 10.05%; crude protein by 9.4%, 16.44%, 14.98%, and 4.18%, and crude fat by 8.22%, 2.9%, 14.81%, and 5.59% respectively, compared to sole cropping. Additionally, neutral and acid detergent fiber contents decreased by 2.94% and 1.89% on average in mixed crops. These findings suggest that mixed cropping with microbial inoculants can significantly increase forage nutritional quality and yield, offering a scientific basis for efficient forage crop utilization.
Bangladesh J. Bot. 53(4): 903-911, 2024 (December)
ANALISIS STRATEGI PENGELOLAAN LIMBAH DOMESTIK DI RUMAH SAKIT TAHUN 2023
Authors: Suciyati Alis Indah 
Published: December 2024

Timbulan limbah domestik yang dihasilkan selama 3 tahun terakhir yaitu pada tahun 2023 sejumlah 1.134,263 ton, Tahun 2022 sebanyak 1.022,210 ton, pada tahun 2021 sebanyak 554,529 ton. Limbah domestik yang tidak dikelola dengan baik akan menjadi tempat berkembangbiaknya beberapa organisme seperti : kuman, bakteri, lalat, kecoa dan tikus yang dapat menjangkitkan penyakit seperti : diare, kolera, tifus, penyakit demam berdarah dan penyakit kulit (Razak, 2020). Tujuan penelitian ini adalah untuk menganalisis strategi pengelolaan limbah domestik di RSUD Dr. Soetomo Tahun 2023. Penelitian ini menggunakan desain penelitian deskriptif kualitatif. Jumlah informan berjumlah 11 orang yang terdiri dari tim sanitarian 2 orang, dan 9 orang cleaning service pengelola limbah domestik. Instrument yang digunakan pada penelitian ini adalah pedoman wawancara, kuisioner, lembar observasi dan check list. Hasil penelitian menunjukkan bahwa: Hasil analisis sumber daya limbah domestik yang memiliki kategori cukup baik meliputi : Kuantitas SDM, sarana dan prasarana dan pedoman teknis. Hasil analisis sumber daya limbah domestik yang memiliki kategori baik meliputi: Kualitas SDM dan dana.Hasil analisis pengelolaan limbah domestik yang memiliki kategori cukup baik meliputi : pengurangan, pemilahan, pengangkutan. Hasil analisis pengelolaan limbah domestik yang memiliki kategori baik meliputi : pewadahan, pengumpulan, penyimpanan dan pengolahan atau pemrosesan. Bentuk strategi pengelolaan limbah domestik tersebut sebagai berikut : menjalin kerja sama dengan pihak ketiga atau dinas terkait tentang pengelolaan limbah domestik. meningkatkan kualitas, kuantitas dan kompetensi sumber daya manusia pengelola limbah domestik memperbaiki sistem penganggaran terkait sarana dan prasarana pengelolaan limbah domestik, dan mengoptimalkan bank sampah di rumah sakit.
Financial Services Authority Intervention as an Effort to Protect Bondholders in Corporations Declared Bankrupt by Commercial Court
Authors: Happy Permata Sari  , Joni Emirzon  , Saleh Putu Samawati 
Published: December 2024

This article discusses the fulfillment of rights for corporate bondholders declared bankrupt by the Commercial Court. No regulation can provide a comprehensive and integrated benchmark to ensure the protection of the rights of bondholder creditors, making this article important to discuss. This research aims to analyze the status of corporate bondholders declared bankrupt by the Commercial Court as creditors in the liquidation process, evaluate the forms of legal protection applied during the process, and assess the future application of the law in providing certainty of protection for bondholders. This research used normative legal research with statutory, historical, and futuristic approaches. The discussion results are carried out using an analysis perspective emphasizing deductive conclusions. Although corporate bondholders declared bankrupt by the Commercial Court have rights as creditors in the bankruptcy process, the legal protection is still ineffective. A regulatory gap results in uncertainty when implementing protection for bondholders. Revision of the Bankruptcy Law by including regulations regarding bondholders' creditors will provide certainty for the protection of creditors' rights, which can be derived in the Financial Services Authority (OJK) Regulation by enforcing supervision in the bankruptcy process in order to protect the interests of bondholders and ensure the stability of the economic development.