bluuebunny/crossref_metadata_2025 huggingface dataset:
Improved Mode Switching and Gear Shift Control Strategy of Parallel
Hybrid Electric Vehicle Based on Dynamic Programming
Authors: Zhai Xumao , Li Yujuan , Jiang Guangzong , Yan Zhengfeng , Yao Mingyao , Sun Yansen
Published: February 2025

Parallel hybrid commercial vehicles equipped with automated manual transmissions
are extensively utilized in the commercial vehicle sector due to their minimal
configuration changes, high energy efficiency, and multi-mode driving
capabilities. The key to enhancing the fuel economy of these vehicles lies in
the mode switching and gear shift control strategy. To meet the driving
requirements of these vehicles and optimize their fuel efficiency, this study
introduces a mode switching and gear shift control strategy based on dynamic
programming for a parallel hybrid commercial vehicle. First, dynamic programming
is applied to the energy management strategy of the hybrid electric vehicle to
determine the optimal fuel-efficient power output. Subsequently, the results
from dynamic programming simulations are utilized to establish the mode
switching boundaries and gear shift patterns. An improved mode switching and
gear shift control strategy is then proposed and compared with the control
strategy based on optimal efficiency. The findings indicate that the fuel
consumption per 100 km with the dynamic programming improvement strategy was
5.64% lower than that of the control strategy based on optimal efficiency, under
the conditions of the Chinese heavy-duty commercial vehicle test cycle for heavy
trucks. This underscores the superior fuel efficiency of the improved control
strategy compared with the control strategy based on optimal efficiency.
Prediction of Diesel Engine NO
x
Transient
Emissions Based on a Combined Model with Convolutional Neural Network–Efficient
Channel Attention–Bidirectional Gated Recurrent Unit
Authors: Peng Yunlong , Wang Guiyong , Wang Yuhua , Wang Feiyang , Wang Zhiyuan , He Shuchao
Published: February 2025

Widely used as power equipment, diesel engines emit NO
x
, which significantly threatens the well-being of both the ecosystem
and individuals. The SCR system, which is employed to reduce NO
x
 emissions from diesel engines, relies on precise control of the NO
x
 emission levels. Addressing the challenge that traditional NO
x
 emission prediction methods struggle to accurately forecast the
emissions under transient operating conditions, this article introduces a deep
learning model that integrates CNN, ECA, and BIGRU.

The model’s necessary experimental data were collected during the hot phase of
the WHTC, and input parameters were screened through correlation analysis. The
model employs a CNN for feature extraction, integrates an ECA module to refine
key feature processing, and utilizes BIGRU to capture temporal dynamics and
dependencies, yielding predictive outcomes. Additionally, the model employs the
Adam optimizer and combines it with BWO to adjust hyperparameters, thereby
elevating the model’s accuracy for predicting transient NO
x
 emission.

Comparative analysis with existing CNN, LSTM, and CNN–LSTM models revealed that
CNN–ECA–BIGRU model had a notable reduction in MAE, RMSE, and MAPE, along with
an enhanced R
2 value. These improvements highlight the model’s superior predictive
accuracy and its robust nonlinear fitting ability.
Modeling and Analysis of Comfort Braking Control Based on
Brake-by-Wire and Active Suspension Systems
Authors: Tian Boshi , Li Liang , Liao Yinsheng , Lv Haijun , Qu Wenying , Hu Zhiming , Sun Yue
Published: February 2025

As wire control systems advance, they have given rise to a diverse suite of
advanced driver assistance services and sophisticated fusion control
capabilities. This article presents an innovative strategy for achieving
comfortable braking in electric vehicles, propelled by the unwavering goal of
enhancing driving experience. By integrating active suspension systems with
brake-by-wire technology, the approach ensures that drivers retain their
confidence throughout the braking process. The brake-by-wire system adeptly
discerns the driver’s braking intent through the pedal’s displacement sensor.
Utilizing this technology, we have developed a pioneering function aimed at
delivering comfort braking control (CBC). This function not only refines the
braking experience but also solidifies the driver’s trust in the braking system.
Designed to counteract the head nodding effect during vehicle deceleration, the
CBC system minimizes or even eradicates the jarring sensation of pitching for
both the driver and passengers. The algorithm detailed in this article has
undergone rigorous validation through extensive real-world vehicle testing. The
results indicate that the proposed method markedly improves key performance
metrics: it enhances the pitch angle by 37.74%, reduces the pitch angle speed by
77.12%, shortens the convergence time by 57.14%, and diminishes the pitch angle
peak amplitude by 45.65%, all within a 0.3g braking deceleration scenario. This
groundbreaking function has now been successfully implemented in mass production
vehicles.
Valuation of the intellectual capital of the enterprise: rent approach and its economic efficiency
Authors:   Peter the Great St. Petersburg Polytechnic University, Dmitriev Nikolay D.
Published: February 2025

Introduction. The study of the rent approach to the assessment of intellectual capital is relevant and significant for understanding modern economic processes and improving business efficiency.
The article aims to develop methods for assessing an economic entity’s intellectual capital using the rent approach.

Materials and methods. The author’s toolkit for calculating rent income is proposed to consider the place of the rent approach in intellectual capital assessment. The calculations are based on economic and mathematical apparatus.

Research results. The authors propose evaluating the enterprise’s intellectual capital using their method to determine the rental income it creates for a specific period. They present the dynamics of the main indicators for calculating the level of intellectualization of the enterprise (assessment of intellectual capital of the enterprise) by the rent approach. The analyzed enterprise periodically increased expenditures on its intellectual development, which led to an increase in the level of intellectualization of the enterprise and allowed formation of significant intellectual rent.

Conclusion. Evaluating intellectual capital over a specific period through identification of rental income is a new but promising area of research, which opens up several potential opportunities for forming intellectual capital management mechanisms at different management levels.
Research on the application of dynamic cone penetration test in evaluating the effectiveness of soft soil treatment in some areas of Hai Duong province, Vietnam
Authors: Nguyen Phong Van ,   Hanoi University of Mining and Geology, Hanoi, Vietnam
  Research group of Engineering and Geoenvironment (EEG), Hanoi University of Mining and Geology, Hanoi, Vietnam
Published: February 2025

In soft soil treatment, assessing the quality of on-site treatment is very important. Common field testing methods used in Vietnam include Cone Penetration Testing (CPT), Standard Penetration Testing (SPT), and Field Vane Testing (FVT). Dynamic cone penetration testing (DCP) testing is a simple and portable field method that allows for the assessment of soil homogeneity, density, or state and the determination of some physical and mechanical properties of the soil. This paper analyzes and systematizes the content, subjects, and requirements for evaluating the quality of soft ground treatment. It also assesses the applicability of the Dynamic cone penetration testing and presents some experimental results from Hai Duong province. The results show that the DCP test can evaluate homogeneity and point out unsatisfactory sections in soil-cement piles. For soft ground treated by cement - fly ash - marine sand piles (CFMS), Dynamic cone penetration testing on three groups of the piles with different binder contents (CKD = 5%, 10%, 15%) shows that the dynamic cone resistance (qd) increases with the binder content. Using DCP testing on the ground at three stages of construction, immediately after construction, and 10 days post-construction allowed for the determination of the effectiveness of each mechanical compaction and consolidation process for each type of soil.
Assessing AI model performance in time-series GNSS data analysis with different neural network structures
Authors: Tran Truong Xuan , Le Tinh Duc , Do Thao Phuong Thi , Pham Man Van , Nguyen Trong Gia ,   Hanoi University of Mining and Geology, Hanoi, Vietnam
  Naval Command, Vietnam Naval Service, Haiphong, Vietnam
  Geodesy and Environment Research Group, Hanoi University of Mining and Geology, Hanoi, Vietnam
Published: February 2025

Artificial intelligence is widely used in time series data analysis in general, and specifically for GNSS time series data. The performance of each AI model used for analyzing GNSS time series data depends on the selection of the optimization function, loss function, the number of nodes in the hidden layers, and the number of epochs. The GRU (Gated Recurrent Unit) deep learning model has been proven to perform well in time series prediction. This paper presents the results of evaluating the performance of the GRU model with different parameter selections mentioned above. The input data for the model is the vertical coordinate component from the HYEN CORS station from 10/8/2019 to 18/3/2022, which is the result of analyzing GNSS data collected at this station using the Gamit/Globk software. The processing results show that when using the Adam optimizer and MSE loss function, the model’s performance decreases rapidly as the number of nodes in the hidden layer reduces from 200÷100. In this case, the model's performance metrics include an R2 decrease from 85÷20%, and the MAE value increases from 3.77÷8.37 mm. When replacing the MSE loss function with the Huber loss function, the model's performance significantly improves, with the R2 increasing by 7%, and the MAE value decreasing from 3.77÷3.21mm. This is a relatively high performance for predicting data using an AI model with a training-to-testing ratio of 60÷40%.
Study on selecting Vegetation Indices to determine potassium content in rice plants using UAV multispectral imagery
Authors: Van Canh Le , Pham Lan Thi ,   Hanoi University of Mining and Geology, Hanoi, Vietnam
Published: February 2025

Potassium is one of the essential nutrients for the metabolism and development of rice plants, enhancing photosynthesis and disease resistance. The objective of this paper is to select the best vegetation index from the spectral bands of UAV imagery to estimate the leave potassium (K) content in rice plants. Multispectral UAV were used to collect data in rice-growing areas at three different stages: tillering (DN), heading (TB), and ripening (CS). At the same time the images were captured, three leaf samples were taken from three different positions in each field plot to determine the K content in the rice leaves in the laboratory. The vegetation indices selected in this paper include RVI, SIPI, and NDVI, which are highly correlated with the measured leaf K content, with correlation values (R) of 0.735, 0.729, and 0.722, respectively. The reliability of the K content estimation results is high, with an RMSE value of up to 0.27%. The K content in rice plants differs at the DN, TB, and CS stages and decreases over time. The K content also varies between the two rice varieties TBR225 and J02. The results of this paper provide a necessary basis for selecting UAV technology to monitor and choose effective fertilization solutions in rice production.
Solution for the preliminary weakening of hard roof for progressive caving in Panel M6 CD-2 level -190/-130 at Mong Duong coal company
Authors: Nguyen Hung Phi , Pham Hung Duc , Le Dung Tien ,   Hanoi University of Mining and Geology, Hanoi, Vietnam
  Research Group: Sustainable Development of Mining Science, Technology and Environment, Hanoi University of Mining and Geology, Hanoi, Vietnam
Published: February 2025

Panel M6 CD-2 level -190/-130 at Mong Duong coal company is one of the panels where caving sections did not occur as designed, leaving large mined-out voids. The mine pressure generated by hanging roof greatly concentrates on the face area, causing local face spall and roof fall and hindering support movement. To minimise these negative impacts on the panel, the Company has designed a solution to drilling holes of less than 2.5 m length behind the support tail to conduct forced roof caving by means of blasting. The solution helps to reduce the stress concentration on the face and to decrease the risk of unsafety. However, despite the large drilling work volume, roof caving efficiency was not as high as expected. The large periodic caving span of 14.57 m creates a large void that poses a potential risk of sudden roof collapse or eventually “windblast” which is extremely serious.
This paper is based on the roof collapse law to calculate the roof rock's natural caving span. The load from the hanging roof is proposed to transfer to lower strata by a new method of cutting roof along the designed planes. This leads to the redistribution of mine pressure and the release of elastic energy stored in roof strata. The solution using pressurized water is implemented to weaken the rock, change the mechanical properties of rock, and relocate the forced caving points. The paper’s result has established water-pressurized drill holes at intersections between the rib and roof of transportation and ventilation roadways with an interval of 12÷15 m. An associated water pressure of 931.09 kG/cm2 is found to induce a regular caving span of 1.6 m as designed.
Overview on seismic attribute analysis and some results for clastic reservoirs in Cuu Long and Malay Tho Chu basin
Authors: Mai Ha Thanh , Nguyen Trung Duong , Nguyen Phong Xuan , Tran Giap Minh , Thanh Do Van , Pham Anh Tuan , Do Tuan Anh , Pham Thuy Thi , Pham Thang Tat , La Quyen Thu Thi , Nguyen Giang Tra Thi , Le Cong Duc ,   PetroVietnam Exploration Production Corporation (PVEP), Hanoi, Vietnam
Published: February 2025

In recent years, the application of seismic attribute in oil and gas exploration and development has been carried out in many of sedimentary basins in Vietnam, provided significant benefits, improving seismic interpretation, and supporting oil and gas exploration and development. This paper provides an overview of seismic attributes and the methodologies using these groups of attributes, such as amplitude analysis, amplitude variation with offset (AVO) analysis, and seismic inversion. These techniques support identifying subsurface geological features, help understanding reservoir properties, and predicting the distribution of reservoirs. The paper focuses on clastic reservoirs, which are a key exploration target in Vietnam, and presents the results of seismic attribute analysis from several oil and gas projects (project X1 – Cuu Long Basin and project X2 – Malay – Tho Chu Basin). These results highlight the successes and challenges in applying seismic attribute analysis to exploration, particularly in delineating potential hydrocarbon-bearing zones. Based on the research findings, the paper proposes some solutions and recommendations to improve the application of seismic attributes in future exploration and development projects.
An enhancement of output torque ripple of the switching reluctance motor based on appropriate time switching selection
Authors: Vo Thuy Cam Thi , Do Dung Manh , Nguyen Khoat Duc , Phan Xuan Minh ,   Hanoi University of Industry, Hanoi, Vietnam
  Hanoi University of Mining and Geology, Hanoi, Vietnam
  Hanoi University of Science and Technology, Hanoi, Vietnam
  Vietnam National University, Hanoi, Vietnam
Published: February 2025

The Switching Reluctance Motors (SRM for brief) have attracted a host of interests of scientists in recent years because of their outstanding advantages such as low manufacturing costs, simple configuration, high durability and an ability to operate at high speeds. In addition to their benefits, some disadvantages causing the SRMs’ performance can be listed as high torque ripple, excessive acoustic disturbances, and difficulties in controlling. They are serving as our motivation to perform studies aiming to enhance SRM’s operational quality. The SRM’s performance depends upon torque characteristics and rotational speed features. To better torque characteristics, an appropriate time-switching selection is proposed. Because moment features are always the decisive factor for motors’ effectiveness in general and it is more vital for SRM owing to the high torque ripple stemming from the switching process. This is the compelling reason why the selecting appropriate switching time among phases of SRM is particularly important. This paper proposes a method for determining this time based on the numerical simulation. Results are warranted thoughtfully consideration and they are the precise of systhesising a fuzzy logic system being able to automatically choose the switching time.
Integration of geological and geophysical data for predicting the sedimentary environment of Oligocene formations in the Northeastern Cuu Long Basin
Authors: Trinh Bien Song , Dang Quy Ngoc , Nguyen Duc Anh , Bui Son Thieu , Pham Dang Hai , Hoang Bang Thanh , Nguyen Tam Minh , Ha Man Quang , Nguyen Trung Le , Nguyen Thanh Van , Bui Dung Viet ,   Petrovietnam Exploration production corporation - Integrated Technical Center, Hanoi, Vietnam
  Vietnam Petroleum Institute, Hanoi, Vietnam
Published: February 2025

This study focuses on the synthesis and analysis of an extensive array of geological and geophysical data to deepen understanding of the depositional environments of Oligocene formations in the northeastern Cuu Long Basin, a region of significant interest for hydrocarbon exploration. Major oil and gas fields, including Su Tu Vang and Ruby, are central to ongoing and future exploration efforts, underscoring the importance of accurately delineating sedimentary distribution patterns within both structural and stratigraphic traps. Our approach integrates multiple datasets such as paleontological, lithological, well-log, and seismic data which enable us to classify the Oligocene sediments into three primary depositional environments: fluvial plain, marginal lacustrine, and lacustrine. Each environment is associated with specific sedimentary facies that influence key reservoir properties, including hydrocarbon trapping potential, fluid dynamics, and overall reservoir quality. Understanding these facies is essential for evaluating hydrocarbon-bearing intervals and optimizing field development strategies. In addition, a detailed spatial and temporal analysis of the sedimentary units F, E, D Lower, and D Upper was conducted, revealing evolutionary changes in depositional conditions over time. These insights provide crucial information about the stratigraphic framework and depositional history of the northeastern Cuu Long Basin, contributing to more precise geological models that enhance exploration targeting and production efficiency. Ultimately, this study underscores the value of integrating geological and geophysical approaches to optimize drilling locations, improve hydrocarbon recovery, and advance reservoir management in the Cuu Long Basin. The comprehensive methodology and insights gained from this research provide a valuable foundation for applying these integrated approaches to similar basins, thereby improving the accuracy of geological models and the efficiency of hydrocarbon recovery efforts.
Pattern and variation of electron ionisation gradient as related to the plasma distribution mechanisms during the total solar eclipse of March 20, 2015
Authors: Adekoya B.  J. , Adebesin B. O. , Chukwuma V. U. , Adebiyi S. J. , Ikubanni S. O. , Oladunjoye H. T. , Adekoya E. O.
Published: February 2025

The pattern and electron ionisation gradient associated with the obstruction of solar ionizing radiation (SIR) provided a good opportunity to study the plasma movements and neutral compositions during the solar eclipse at mid-latitude. The electron ionisation gradient (dN/dh) as related to the plasma distributions at the mid-latitudes during the total solar eclipse of 20 March 2015 was investigated. The ionogram inversion profile data for each station along the solar eclipse path were obtained from the database of the Global Ionospheric Radio Observatory (GIRO). The solar eclipse's obscuration percentage at these locations ranges from 69% to 94%. The variations in the dN/dh and its corresponding height hdN during the eclipse window are related to the solar eclipse’s turnoff and onset effect on SIR. The ionisation gradient valley caused by the solar eclipse was associated with the vertical transport and diffusion processes. The dN/dh varies correspondingly with NmF2, responding to changes in photoionisation, and the peak responses occurred 11 – 20 mins after the eclipse’s totality. The height (hdN) at which the maximum ionisation gradient was obtained followed a similar pattern to hmF2, but the peak response of hdN is lower across all stations. In contrast to the hmF2, the time lag between the ionisation gradient's minimum peak and the eclipse's maximum magnitude ranges from 25 to 40 mins. The neutral composition changes and plasma movements during the solar eclipse can be explained by dN/dh.
Estrategia inclusiva para el proceso de enseñanza-aprendizaje del fútbol en un sujeto con TDAH
Authors: Castro Rueda Cristian Andrés , Menacho Tránsito , Contreras Jauregui Fabian Andrés , Maqueira Caraballo Giceya de la Caridad
Published: February 2025

Esta investigación se centró en la participación de un niño diagnosticado con Trastorno por Déficit de Atención con Hiperactividad (TDAH) en entrenamientos de fútbol, a través de una estrategia inclusiva para mejorar su experiencia. El objetivo fue implementar una estrategia inclusiva para el favorecimiento del proceso de enseñanza aprendizaje del fútbol en un sujeto con TDAH. Se usó la adaptación de métodos específicos para enseñar fútbol al niño con esta condición, dada su dificultad para mantener la atención y controlar la impulsividad, lo que puede afectar su aprendizaje técnico y rendimiento deportivo. Se trabajó con un niño diagnosticado con precisión, con evidentes características limitantes para comprender instrucciones y desarrollar habilidades técnicas en el fútbol debido a su falta de concentración e impulsividad. La pregunta central fue cómo una estrategia inclusiva puede mejorar su proceso de aprendizaje en este deporte. El producto de este trabajo fue un plan de actividades que incluyó sesiones cortas, instrucciones claras y apoyo individualizado para maximizar su participación y aprendizaje. Los resultados demostraron la efectividad de las acciones desarrolladas para el aprendizaje del fútbol y también se evidenció la promoción de la inclusión al niño con TDAH en actividades deportivas y sociales.
POPULARNA KULTURA KAO OBLIK DRŽAVNE MEKE MOĆI
Authors:   University of Belgrade, Faculty of Philosophy, Serbia, Mandić Stefan V.
Published: February 2025

In addition to exerting influence through economic wealth and mil-
itary power, the impact of states is often manifested through their soft power.
This concept implies the ability of a particular state to shape a positive image
of itself globally by producing cultural content, thereby directing world opinion
towards accepting values and norms that align with its economic, political, and
geopolitical interests. By creating and disseminating content of popular culture,
global powers aim to shape ideological perspectives through soft power. The
main objective of this paper will, therefore, be to determine how world powers
such as the United States, China, and Russia exercise soft power through their
cultural production. The relationship between the private and public sectors in
shaping the soft power of major powers will be examined. Special attention will
be given to Japan, South Korea, and India, as they are countries characterized
by developed popular culture accompanied by significant global influence. All
these examples will be used to explore whether all forms of soft power have aris-
en as a result of state projects or if they can also develop through spontaneous
market-driven cultural production. Finally, the dominant form of popular cul-
ture in Serbia and the level of development of its soft power will be looked into.
POPKULTURNI UTICAJ LATINOAMERIČKIH TELENOVELA NA OMLADINU U SRBIJI TOKOM 1990-IH I 2000-IH GODINA
Authors:   Institute of European Studies, Belgrade, Serbia, Petrović Rajko Č.
Published: February 2025

The subject of this research is the pop culture influence that
Latin American telenovelas broadcast in Serbia during the 1990s and 2000s had
on the youth in Serbia. It is an extremely interesting phenomenon that, despite
the fact that it came from a distant geographical area and from a complete-
ly different cultural and civilizational milieu, gained sudden popularity among
a wide Serbian audience, including young people, given that it offered a wide
range of content - from love and emotional scenes, through family intrigues,
to the relationship between the rich and the poor and the battle between good
and evil, in which good always wins in the end. The goal of the research is to
explain the causes of the wide and two-decade popularity that Latin American
telenovelas enjoyed in our region, as well as the type, degree and quality of the
influence they had on our youth. Also, we will explain how it is possible that they
suppressed the broadcast and influence of the domestic serial program. In con-
clusion, we will explain why there was a sudden drop in the popularity of Latin
American telenovelas in the early 2010s, which gave way to Indian and then
Turkish series on the Serbian market. We will use the case study method, the
analysis method and the comparative method.
ULOGA ROK MUZIKE U ANTIRATNOM POKRETU U SRBIJI (1991-1992)
Authors: Mandić Dragoljub
Published: February 2025

The subject of the research is the emergence of the rock and roll
music scene in Serbia during the breakup of Yugoslavia. It is about the period
when Serbian rock and roll became a counterculture to the authorities for the
first time, taking on the same role that the hippies had during the Vietnam War.
Unlike their colleagues from other warring parties, who put themselves fully
into the service of war propaganda, during 1991 and 1992, Serbian rock mu-
sicians became the spearheads of the anti-war movement, which significantly
influenced the attitudes of Serbian youth about the situation back then. This es-
pecially applies to urban environments, where the rock audience was the most
represented. The goal of this research is to explain the causes of this action of
Serbian rockers, then to analyze their attitudes and activities in the anti-war
campaign, and finally to point out the consequences, whereby the contribution
to the narrative of Serbian guilt for the breakup of Yugoslavia should be empha-
sized. The research is based on various sources (press, autobiographies, mem-
oirs, interviews, videos, documentaries and broadcasts), as well as on relevant
scientific works of domestic and regional authors.
Strategi Pengembangan Badan Usaha Milik Desa dalam Optimalisasi Potensi Ekonomi Desa dengan Pendekatan Social Intrepreneur
Authors: Zamroni Ahmad , Balafif Mohammad , Wahyuni Susi Tri
Published: February 2025

Badan Usaha Milik Desa (BUMDes) adalah lembaga yang didirikan atau dibentuk oleh pemerintahan desa yang kepemilikan modal dan pengelolaannya dilakukan oleh pemerintah desa bersama dengan masyarakat desa. Penelitian ini bertujuan untuk mengetahui strategi inovasi BUMDes dalam pendayagunaan potensi ekonomi lokal dengan berbagai ragam jenis potensi Desa untuk peningkatan kesejahteraan masyarakat desa serta memberikan sumbangan bagi pendapatan asli desa. Terdapat dua rumusan masalah yang hendak dikaji dalam skripsi ini, yaitu (1) Bagaimana Strategi Pengembangan BUMDes Sekapuk Dalam Meningkatkan Potensi Desa?. (2) Bagaimana Cara Pemerintah Desa Dalam Mengoptimalkan Potensi Ekonomi Desa Melalui Program Bumdes?. Penelitian ini menggunakan triangulasi dengan proses-proses yang telah dilakukan yakni, a) pengumpulan data/dokumen; b) wawancara; c)menganalisis data yang sudah didapat. Hasil dari penelitian menunjukkan bahwa (1) BUMDes dalam mengembangkan potensi ekonomi lokal Desa perlu ditingkatkan lagi. (2) BUMDes dalam mengoptimalkan potensi ekonomi desa luar biasa karena BUMDes Sekapuk bisa memberikan pelayanan masyarakat. BUMDes Sekapuk diharapkan bisa lebih mengembangkan pengelolahan potensi ekonomi lokal desa yang ada.
Pengaruh Tingkat Pendidikan, Kepadatan Penduduk, dan Tingkat Pengangguran Terbuka Terhadap Tingkat Kemiskinan di Kabupaten Jombang Tahun 2011-2015
Authors: Ajeng Ajeng , Haryono Haryono , Rahmasari Anggraeni
Published: February 2025

Penelitian ini bertujuan untuk melihat pengaruh Tingkat Pendidikan, Tingkat Kepadatan Penduduk, dan Tingkat Pengangguran Terbuka terhadap Tingkat Kemiskinan di Kabupaten Jombang tahun 2011-2015. Penelitian ini menggunakan model regresi data panel dengan metode Fixed Effect. Variabel yang digunakan dalam penelitian ini adalah Jumlah Penduduk Miskin sebagai dependent variable, sedangkan untuk independent variable adalah Tingkat Pendidikan, Tingkat Kepadatan Penduduk, dan Tingkat Pengangguran Terbuka. Hasil perhitungan regresi data panel dalam penelitian ini menunjukkan bahwa independent variable mempunyai pengaruh signifikan secara simultan dan parsial terhadap dependent variable di Kabupaten Jombang.
Pemberdayaan Masyarakat Berbasis Ekonomi Kreatif Daur Ulang Sampah di Kelurahan Jambangan Surabaya
Authors: Pertiwi Dewi , Rahmasari Anggraeni , Khoir Fatihul
Published: February 2025

Tujuan penelitian ini untuk mengetahui pemberdayaan masyarakat berbasis ekonomi kreatif daur ulang sampah plastik. Metode penelitian yang digunakan adalah penelitian kualitatif, dengan metode observasi, wawancara dan dokumentasi, pada warga RW III kelurahan Jambangan Surabaya, kemudian dilakukan analisis data dengan pengumpulan data,Reduksi data, penyajian data, analisi dan pembahasa, sehingga diketahui sebuah program pemberdayaan masyrakat berbasis ekonomi kreatif daur ulang sampah di Jambangan Surabaya. Hasil dari penelitian diketahui bahwa proses pemberdayaan masyarakat RW III kelurahan Jambangan Surabaya dapat menuntun pada kemandirian ekonomi. Selain itu program pelatihan yang diberikan dapat menambah kesadaran, wawasan dan keahlian pelaku ekonomi kreatif. Dalam tinjauan pemberdayaan masyarakat kegiatan tersebut merupakan upaya untuk melestarikan lingkungan dan meningkatkan pendapatan. Pengembangan ekonomi kreatif  dapat menyerap tenaga kerja, khususnya bagi ibu rumah tangga yang sebelumnya waktunya tidak produktif, sekarang menjadi produktif pada sektor ekonomi kreatif.
Pengaruh Bahan Baku, Teknologi dan Tenaga Kerja Terhadap Pendapatan Industri Kerajinan Rotan
Authors: Astuti Puji , Haryono  , Wahyuni Susi Tri
Published: February 2025

Penelitian ini bertujuan untuk menguji dan menganalisa pengaruh bahan baku, teknologi dan tenaga kerja terhadap pendapatan industri kerajinan rotan di UD. Tiga Saudara Dusun Biyodo Desa Beton Kecamatan Menganti Kabupaten Gresik. Analisis ini menggunakan Analisis Regresi Linier Berganda. Teknik sampling yang digunakan adalah teknik sampling jenuh dan teknik pengujian data yang digunakan dalam penelitian ini meliputi uji validitas, uji realibitas, dan analisis regresi linier berganda. Hasil analisis linier berganda memperoleh persamaan Y= 8,614 + 0,251 X1 – 0,287 X2 + 0,282 X3. Dengan perhitungan a) Nilai signifikansi F sebesar 0,000 artinya Variabel Bahan Baku a). Nilai Signifikansi F sebesar 0,000 artinya variabel Bahan Baku, Teknologi dan Tenaga Kerja berpengaruh simultan terhadap Pendapatan. b). Nilai signifikansi t  Bahan Baku dan teknologi sebesar  0,000 lebih kecil dari 0,05 artinya Bahan Baku dan Teknologi secara parsial berpengaruh terhadap Pendapatan, c). Sedangkan nilai signifikansi t Tenaga Kerja sebesar 0,003 lebih kecil dari 0,05 artinya Teknologi secara parsial berpengaruh terhadap Pendapatan.
Pengaruh Pendidikan, Konsumsi Rumah Tangga dan Tabungan Terhadap Tingkat Kesejahteraan Petani Padi di Kecamatan Glenmore Kabupaten Banyuwangi
Authors: Asiyah Siti , Fattah Abdul , Rahmasari Anggraeni
Published: February 2025

Penelitian ini dilakukan untuk menganalisis pengaruh pendidikan, konsumsi rumah tangga dan tabungan berpengaruh terhadap tingkat kesejahteraan petani padi di Kecamatan Glenmore Kabupaten Banyuwangi. Penelitian ini menggunakan metode kuantitatif sumber data primer dengan menggunakan instrumen kuesioner atau angket. Dengan jumlah sampel sebanyak 108 kepala keluarga, dengan menggunakan rumus Slovin. Hasil analisis statistik menjelaskan bahwa: (1) variabel bebas Pendidikan, konsumsi rumah tangga dan tabungan secara bersama-sama berpengaruh signifikan terhadap tingkat kesejahteraan dengan Fhitung (11,125) > Ftabel (2,690). (2) Variabel pendidikan berpengaruh positif signifikan terhadap tingkat kesejahteraan hal ini dibuktikan dari nilai signifikansinya < 0,05. dan nilai koefisien korelasi menunjukkan hubungan sebesar 13,03% (3) Variabel konsumsi rumah tangga tidak berpengaruh terhadap tingkat kesejahteraan hal ini dibuktikan dari nilai signifikansinya >0.05 dan nilai koefisien korelasi menunjukkan hubungan sebesar 0,72% (4) Variabel tabungan berpengaruh signifikan terhadap tingkat kesejahteraan hal ini dibuktikan dari nilai signifikansinya 0,011 < 0,05. dan nilai koefisien korelasi menunjukkan hubungan sebesar 6,10% (5) Variabel yang berpengaruh dominan terhadap tingkat kesejahteraan yaitu variabel Pendidikan dengan nilai koefisien determinasi sebesar 13,03%.
From Clicks to Connections: Exploring the Role of Social Media and e-WOM in Shaping Brand Engagement through Total Customer Experience in South Punjab
Authors: Sahoo Hammad Raza , Munir Saima , Mushtaq Danish , Arshad  Sana
Published: February 2025

This study examines the combined effects of social media (SM), electronic word of mouth (e-WOM), and total consumer experience (TCE) on brand engagement. Considering the S-O-R model as the framework of the study, data was collected from 350 participants from South Punjab using a mix of physical and online surveys. With the use of SPSS and PLS-SEM, the positive impact of SM and eWOM on the BE is exhibited and the role of TCE as a mediator. The vital role of customer experience in manifesting digital intercommunications into extensive brand connections was the highlighted result. The results of this research provide the developing reservoir of research on digital engagement by providing useful data for businesses to foster customer association by the strategic utilization of SM and eWOM. Upcoming studies might need to take in mind multiple kinds of cultural and industrial factors, probe extra mediators and moderators, and use longitudinal and analytical techniques. By contributing applicable strategies for businesses to grip SM and eWOM, this study contributes to expand the body of knowledge on digital engagement. Future studies could investigate these dynamics in different cultural or industrial contexts, investigate additional mediating or moderating constructs, and adopt longitudinal or more intricate analytical techniques to gain a deeper understanding of these relationships.
Bioremediation of Iron-Laden Steel Plant Effluent Using Bacillus Licheniformis: A Study of Isolation, Characterization, and Optimization
Authors: Durairaj Aarthi , Dharmackan Jayasheela
Published: February 2025

Objective: The objective of this study is to investigates the physicochemical characteristics and bioremediation potential of Bacillus licheniformis on effluent from a steel manufacturing facility in Salem, India
 
Method: A laboratory-based experimental approach was used in the study to assess Bacillus licheniformis's capacity for bioremediation of steel production wastewater. Separating the bacteria from the wastewater, describing its physicochemical characteristics, and evaluating how well it reduced iron levels were the steps in the process. For chemical analysis, FTIR spectroscopy was employed, and for microbiological identification, normal biochemical assays were employed. Optimizing bioremediation parameters including inoculum concentration, pH, temperature, and incubation duration was one of the procedures.
 
Results and Discussion: The study discovered that Bacillus licheniformis successfully decreased iron concentrations in steel production wastewater, bringing them down from 41.54 mg/L to 23.08 mg/L. Significant alterations in the effluent's chemical composition were shown by FTIR analysis, suggesting that organic contaminants had been successfully degraded. The greatest results were obtained after optimizing the bioremediation settings, which included a 48-hour incubation at 30°C, pH 6, and a 6% inoculum concentration. These results contribute to more sustainable effluent management techniques by highlighting Bacillus licheniformis as a viable bioremediation agent for treating iron-laden industrial wastewater.
 
Research Implications: The research's practical implications indicate that Bacillus licheniformis can be used to clean wastewater that contains iron, especially in the steel sector, using bioremediation techniques. The results might encourage ecologically friendly methods of treating industrial effluent and have an impact on sustainable wastewater management practices. Theoretically, this work advances our knowledge of the role that microbes play in environmental biotechnology, namely in the reduction of metals and the breakdown of organic contaminants. Environmental engineering, industrial wastewater treatment, and microbial bioremediation research are among the fields that potentially profit from these discoveries.
Estimation of the valorization potential of municipal solid waste under a bioeconomy approach: contribution to the achievement of SDG 11 and 12 in the city of Chachapoyas, Amazonas, Peru
Authors: Castillo Percy Zuta , Santillan Yesica Montenegro , Angeles Wildor Gosgot , Ramírez Carla María Ordinola , Gurbillón Miguel Ángel Barrena
Published: February 2025

Objective: The objective of this study is to analyze the characterization of municipal solid waste (MSW) from the city of Chachapoyas, Peru, exploring its transformation potential and identifying the economic and social challenges to improve its valorization. The research focuses on proposing a bioeconomic model that promotes sustainable waste management aligned with Sustainable Development Goals (SDGs) 11 and 12.
Methods: A detailed characterization of MSW was carried out using the "Guide for the Characterization of Municipal Solid Waste" of the Peruvian Ministry of the Environment. Data collection included physical sampling, socioeconomic segmentation and environmental impact assessment. In addition, operational and financial analyses were conducted to evaluate the results of organic and inorganic waste valorization.
Originality/Relevance: This research introduces a bioeconomic model adapted to the specific context of the city of Chachapoyas, addressing local challenges such as infrastructure limitations and inefficiencies in waste management. By integrating community participation and innovative technologies, the study provides scalable and sustainable solutions for developing cities.
Results: The MSW characterization identified that 41.75% of the waste is organic, with a high potential for composting, while 15.3% corresponds to recyclable inorganic waste. The application of the bioeconomic model allowed for a 50% reduction in waste sent to the landfill and avoided the emission of 4,602 tons of CO2eq in 2023. The model generated combined revenues of US$407,372.30 from organic compost and recycled materials, in addition to supporting the creation of 60 jobs.
Decision-Making by the Defense Party in Ukrainian Criminal Justice: Balancing Needs and Capabilities
Authors: Kovalenko Atrem Volodymyrovych , Sainchyn Serhiy Oleksandrovich , Vitiuk Dariya Liubomyrivna , Luhina Nataliia Anatoliivna , Hrytsiuk Ihor Vasylovych
Published: February 2025

Objective: The purpose of the article is to highlight the features of the decision-making process by the defense party in Ukrainian criminal proceedings and to identify the main needs and capabilities of the subjects involved.
 
Theoretical Framework: This study is based on contemporary scholarly perspectives in the fields of criminal law and procedure, forensic science, and legal psychology, the provisions of current legislation and statistical data.
 
Method: To explore decision-making process by the defense party, this study will use a range of general and specialized scientific research methods including systemic analysis, formal-legal, comparative, generalization, and modeling.
 
Results and Discussion: The authors argue that defense decisions in criminal proceedings are non-law-applying and significantly differ from the decisions of the prosecution or the court. The study demonstrates that defense decisions are structurally composed of the intended goal, the informational foundation, and the available alternative courses of action. The decision-makers on behalf of the defense include the defendant, the defense attorney, and the legal representative, each of whom possesses their own set of procedural needs and capabilities. It is emphasized that the most effective decisions are those made by the defendant in collaboration with defense attorney.
 
Contributions: The significance of the research results lies in their potential to serve as a foundation for developing practice-oriented recommendations on optimizing defense strategy against criminal charges, and formulating recommendations to overcome unlawful resistance to pre-trial investigations and court proceedings by the defense side.
Integrative Approach in Training Future Border Guard Officers to Use Physical Force in Their Professional Activities
Authors: Iakubovskyi Viktor , Synyshyn Mykhailo , Miroshnichenko Valentyna , Zacharchuk Denis , Tushko Dmytro , Chepkyi Ihor
Published: February 2025

Objectives: This study aims to substantiate the use of an integrative approach in training future border guard officers to effectively use physical force in their professional activities, particularly considering the ongoing military aggression against Ukraine.
 
Methods: A combination of theoretical methods (analysis, synthesis, comparison, generalization, and systematization) and empirical methods (questionnaires, interviews, observations, and pedagogical experiments) was employed to assess the current state of preparedness among future border guard officers.
 
Results: The findings indicate that the majority of future border guard officers exhibit low to average levels of preparedness to use physical force. The implementation of an integrative training approach significantly improved the preparedness levels of the experimental group compared to the control group.
 
Conclusion: The integrative approach, which combines physical, psychological, and legal training, is essential for enhancing the readiness of future border guard officers to use physical force effectively in their professional roles. Notably, this study introduces a novel framework for training that emphasizes the interdependence of these components, suggesting that a synergistic training model not only improves individual preparedness but also fosters a deeper understanding of the ethical and legal implications of using physical force. This holistic perspective is particularly relevant in the context of contemporary security challenges, providing a foundation for future research and practical applications in border security training programs.
The Effect of Employee Engagement (Vigor, Dedication, and Absorption) on Job Satisfaction at PT Pelindo 1
Authors:   Lecturer at Universitas Amikom Yogyakarta, Ariyanto Eny , Wijaya Moch Hamied ,   Lecturer at Universitas Amikom Yogyakarta, Mutiara Sari Anindya Nurani ,   Lecturer at Universitas Mitra Bangsa, Jakarta
Published: February 2025

This study examines the effect of employee engagement variables—vigor, dedication, and absorption—on job satisfaction. The research subjects consisted of all employees of PT Pelindo 1 in 2020. A total of 225 employees were selected as the sample using a simple random sampling method. Primary data were collected through a questionnaire instrument. To test the research hypotheses, data were analyzed using a multiple linear regression model. The results indicate that employee engagement and vigor have a significant but weak positive effect on job satisfaction. In contrast, dedication and absorption show a positive but statistically insignificant effect. The coefficient of determination (R²) is 14%, suggesting that vigor, dedication, and absorption are weak predictors of job satisfaction.
Artificial Intelligence-Driven Advances in Haemophilia Gene Therapy
Authors:   Associate professor, CMR College of pharmacy, Kandlakoya-501401, Hyderabad, Telangana, India, Geetha Karra , Abhiram Ch ,   Department of Pharm D, CMR College of pharmacy, Kandlakoya-501401, Hyderabad, Telangana, India, Hanisha Tungala ,   Department of Pharm D, CMR College of pharmacy, Kandlakoya-501401, Hyderabad, Telangana, India, Anusha Suddala ,   Department of Pharm D, CMR College of pharmacy, Kandlakoya-501401, Hyderabad, Telangana, India, Reddy Ch Manoj ,   Department of Pharm D, CMR College of pharmacy, Kandlakoya-501401, Hyderabad, Telangana, India, Rama Rao Tadikonda ,   Principal, Associate professor, CMR College of pharmacy, Kandlakoya-501401, Hyderabad, Telangana, India
Published: February 2025

Hemophilia is the most frequent severe genetic haemorrhagic condition. Hemophilia A and B are caused by a lack or dysfunction of the factor VIII and factor IX proteins, respectively, and are distinguished by prolonged and heavy bleeding after minor trauma or even spontaneously. Treatments for hemophilia have been extremely expensive and required the infusion of plasma clotting factors throughout one’s life. The last few years have brought major breakthroughs in gene therapy that now hold real promise for possible curative options. Artificial intelligence has the potential to transform all levels of hemophilia gene therapy, from vector design to predictive modeling and biomarker identification. This review highlights selected applications of AI towards precision medicine including viral vector design, predictive modeling for gene editing, and deep phenotyping in hemophilia gene therapy. It can greatly improve the efficacy and safety of gene therapy through off-target effects prediction, optimization designs of delivery vectors, and determination of personalized combinations of treatments. Consequently, this will also enable accelerated biomarker development for disease diagnosis and monitoring. In such a way, artificial intelligence in hemophilia gene therapy will revolutionize the framework of treatment and make it personalized or even curative for patients all over the world.