bluuebunny/crossref_metadata_2025 huggingface dataset:
VIỆC TẠO TỪ PHÁI SINH CỦA SINH VIÊN CHUYÊN NGỮ TIẾNG ANH Ở MỘT TRƯỜNG ĐẠI HỌC Ở VIỆT NAM
Authors: Nguyen Trang Thi Bao
Published: February 2025

Nghiên cứu này tìm hiểu khả năng tạo từ phái sinh của sinh viên năm ba chuyên ngữ tiếng Anh ở một trường đại học ở Việt Nam. Tổng cộng 118 sinh viên thuộc 03 nhóm học phần Viết tham gia vào nghiên cứu này. Họ thực hiện một bài kiểm tra kiến thức từ vựng phái sinh sản sinh bằng cách viết các từ phái sinh có thể của 30 từ gốc được chọn từ các mức tần suất gia đình từ khác nhau (1000-5000). Kết quả cho thấy sinh viên có thể viết được khoảng hơn ¼ tổng số từ phái sinh có thể, và tỉ lệ thành công thấp hơn đối với từ vựng bậc cao hơn. Bên cạnh đó, kết quả nghiên cứu cũng cho thấy sự chênh lệch lớn giữa các cá nhân sinh viên về khả năng tạo từ phái sinh và tỉ lệ tạo từ phái sinh là động từ và danh từ có tỉ lệ thành công cao hơn các từ loại khác. Dựa trên kết quả của thu được, nghiên cứu thảo luận hàm ý giảng dạy và nghiên cứu kiến thức từ phái sinh tiếng Anh.
PHÂN TÍCH CÁC YẾU TỐ ẢNH HƯỞNG ĐẾN HIỆU QUẢ CỦA VIỆC ÁP DỤNG HỌC TĂNG CƯỜNG VÀO ĐIỀU KHIỂN ĐỊNH TUYẾN TRONG MẠNG KHÔNG DÂY HÌNH LƯỚI
Authors: Le Huu Binh , Lê Đức Huy
Published: February 2025

Việc ứng dụng học tăng cường vào điều khiển định tuyến trong mạng không dây hình lưới đang thu hút sự quan tâm của nhiều nhóm nghiên cứu. Các công trình nghiên cứu gần đây đã chỉ ra rằng định tuyến dựa trên học tăng cường mạng lại hiệu quả cao hơn so với các giao thức định tuyến truyền thống, đặc biệt là trong các mô hình mạng không dây hình lưới với tải lưu lượng cao, vùng diện tích rộng, sử dụng nhiều bộ định tuyến. Trong bài báo này, chúng tôi tập trung phân tích các yếu tố ảnh hưởng đến hiệu quả của việc áp dụng học tăng cường vào điều khiển định tuyến. Từ đó, đưa ra các khuyến nghị phù hợp nhằm nâng cao hiệu năng mạng khi sử dụng các giao thức định tuyến dựa trên học tăng cường.
Enhancing the Self-Assembled Monolayer Formation for Protein Detection Platform through L-Cysteine Utilization
Authors: Huynh Thi Thuy Linh , Ngô Xuân Cường , Võ Quang Nhã
Published: February 2025

Electrochemical immunosensing has emerged as a contemporary sensing strategy based on the principles of specific antigen-antibody recognition, offering exceptional specificity, remarkable sensitivity, and seamless integration. In this study, we present a rapid, three-step and cost-effective modification process to establish an immunosensing platform using self-assembled monolayer (SAM) of L-Cysteine. This approach was experimentally implemented through quantitative BSA protein detection experiments spanning a concentration range from 0.5 µM to 8µM. Optical signals, along with observable changes in electrical signals from cyclic voltammetry (CV), square wave voltammetry (SWV) and electrochemical impedance spectroscopy (EIS), confirmed the formation of monolayers on the electrode surface and detection signals for BSA protein. The characteristic curve, employing ΔRct as a function of BSA protein concentration, was plotted with a coefficient of determination (R²) value of 0.95136. These findings underscore the potential of L-Cysteine-based SAMs in electrochemical biosensing applications for highly sensitive and cost-efficient protein detection.
Crowd Counting using Deep Learning Model on FPGA card
Authors: Khong Thi Thu Thao , Tran Van Loc , Phan Hai Phong , Duong Duc Hung
Published: February 2025

Machine learning and deep learning are becoming important tools for processing video in artificial intelligence applications, especially real-time tasks that require speed, accuracy, and flexibility. For this reason, we introduce a crowd counting and detecting system from RTSP video streams using a deep learning model. Our system uses FPGA cards, i.e. Xilinx Alveo U30 and U200, to accelerate the transmission of video streams and the deep learning inference. In the input and output stream, Vitis Video Analysis SDK GStreamer is utilized to leverage the features of Alveo U30 for streaming RTSP videos. In the deep learning inference, we apply the trained YOLOX model to detect and count people from video frames. YOLOX is accelerated by Alveo U200 based on the Mipsology Zebra framework. The proposed system not only processes multiple streams but also achieves faster inference and lower CPU usage than the system that just uses CPU for deep learning inference.
TETHYAN BARTONIAN-PRIABONIAN DIAGNOSTIC BENTHIC FORAMINIFERA PART I: SUBORDER TEXTULARIINA
Authors: Anan Haidar Salim
Published: February 2025

This study describes and illustrates the seventy three agglutinated benthic foraminiferal species of the Suborder Textulariina across the Bartonian-Priabonian belonging to thirty seven genera from twenty one countries in the Norther Tethys (USA, England, France, Spain, Belgium, Germany, Poland, Hungaria, Slovenia, Romania, Czech, Italy) and Southern Tethys (Angola, Tanzania, Tunisia, Egypt, Iraq, Qatar, United Arab Emirates (UAE), Pakistan, Japan, New Zealand) have been studied. The modern taxonomical consideration of the species is used. The recorded species were previously noted in different literatures, while eight of them are believed here as new: Bathysiphon usamai, Asanospira franciana, Paratrochamminoides spainica, Verneuilina hungariana, Martinottiella cimermani, Textularia karimae, Cylindroclavulina spainica and Tritaxilina ozsvárti. The foraminiferal assemblage indicates an open marine environment, which represents outer shelf-lower bathyal depths of deposition. The current activity not only transported allochthonous taxa, but also brought in refractory organic matter to the seafloor, which were in turn affected by sedimentary and, ultimately, by climatic factors. Most of the recorded species are distributed not only in neighboring localities, but also far from it.
USING GIS AS A SPATIAL SUPPORT TOOL TO DISCRIMINATE BETWEEN TRUE AND FALSE GEOCHEMICAL ANOMALIES AT THE NORTHERN MARGIN OF THE ASANKRAGWA GOLD BELT IN THE PALEOPROTEROZOIC KUMASI BASIN, GHANA
Authors: Baiden-Amissah Josephine , Brako Blestmond A. , Foli Gordon , Quaye-Ballard Jonathan , Gawu Simon K. Y.
Published: February 2025

This study uses Geographical Information Systems (GIS) as a support tool for gold exploration to distinguish between true and false soil geochemical anomalies at the northern segment of the Asankragwa gold belt in the Paleoproterozoic Kumasi Basin, Ghana. The main objective of this study is to identify potentially mineralized zones within the northern segment of the Asankragwa gold belt by integrating GIS, structural and soil geochemical datasets. To reduce the probability of delineating false anomalies as true anomalies, diverse graphical threshold determination methods, namely histogram, box plot, QQ plot, mean+2SD, Jenks Natural Break and Probability plot, as well as advanced threshold determination methods like the Mean Absolute Deviation (MAD) and double MAD were employed. The threshold values established from the graphical methods are 175 ppb, 96 ppb, 335ppb, 384 ppb and 100 ppb respectively. However, the MAD and double MAD methods produced threshold values of 74.5ppb and 130ppb respectively. Based on the high variability in the threshold values, anomalous areas were delineated using thresholds values of 100ppb and 130ppb respectively established from the Jenks Natural Break and Probability plot and double MAD method. About 40%, 35% and 20% of the selected anomalous areas are located within soils overlying volcanoclastic, clastic sedimentary and marine volcanoclastic rocks respectively. These anomalies are not lithologically controlled since they are not confined to a particular rock type. Superimposing the selected aanomalies over geological structures and Landsat imagery, 90% of the anomalies can be linked to the NE-SW geological structures. Upon integrating the anomalies with structural data and illegal mining activities and using the Booleon analysis, not all anomalies may be true anomalies. True gold anomalies within the Asankragwa gold belt are consistent with the central> northern> southern portions. Hence, the discovery of gold in the Asankragwa gold belt has been enhanced using GIS as a spatial support tool.
ASSESSING GEOTECHNICAL PROPERTIES OF WETLANDS AREA IN LAGOS MAINLAND WESTERN NIGERIA
Authors: . Andre-Obayanju O , Ese Aladin Anthony , Odinaka Okwusi Emmanuel
Published: February 2025

Assessing geotechnical properties of Wetlands Area in Lagos Mainland Western Nigeria. This geotechnical research was conducted at Iyana-Ipaja community in Alimosho Local Government Area of Lagos State. Six soil samples and control samples were collected from seven different sampling points within this region for geotechnical analysis. Geotechnical properties index was carryout on the soil samples. Grain size The analysis, Specific Gravity, Atterberg Limits, Compaction Test, and Triaxial Tests was carried-out on Sample A, Sample B and Sample C. The liquid limit (LL) values for sample A, Sample B, and Sample C were 44.40%, 44.82%, and 45.13% respectively, while the plastic limit values were 28.63%, 33.30%, and 33.46% respectively. The plastic index values for samples A, B, and C were 16.76, 11.53, and 11.67 respectively. These soil samples were classified as inorganic clays of low to medium plasticity (CL) and were considered moderately plastic based on their plasticity index (PI) values being less than 17%. The natural moisture content values for soil samples A, B, and C were 98.02%, 33.22%, and 31.19% respectively. The percentages of fine Sand passing the 200 sieves were 84.35%, 65.29%, and 59.96% for samples A, Sample B and Sample C respectively, leading to their classification as Silty Sand (SM) with uniformly graded sand and silt mixture. The OMC and MDD for Sample A, Sample B and Sample C were found to be 24.4%, 26.3%, 27.5% and .34g/cm3, 1.17g/cm3, 1.27g/cm3 respectively. Wet weight measurements indicated variability but suggested characteristics of clay ranging from Very soft to Firm. The research suggests and concluded that the soil samples from the Iyana-Ipaja area of Alimosho LGA, Lagos, requires chemical stabilization, preferably with cement or lime, to be suitable for construction and geotechnical purposes.
UPHOLE REFRACTION SURVEY OF THE VELOCITY REGIMES IN SOUTH-EASTERN PART OF NIGER DELTA NIGERIA
Authors: J. Amonieah, , A.R.C. Amakiri, , C.B Chukwu,
Published: February 2025

Uphole refraction survey of the velocity regimes in South-Eastern part of Niger Delta, Nigeria was carried out using a 12-channel seismograph: Mc SEIS 160M Model 1115. The study presents a regional weathering structure of the area, the velocities and depths of the weathered layers were calculated from the travel time of the seismic waves. The data were interpreted using the time – intercept method which revealed that the low velocity layer was fairly variable in thickness in the region, varying between 24.5m and 25.8m, with a regional average value of 25.12m. The weathered and consolidated layers have average Compressional wave velocities of 944.0m/s and 1907.69m/s respectively. The knowledge from the result of this study can be applied in oiland ground water exploration plans.
TETHYAN BARTONIAN-PRIABONIAN DIAGNOSTIC BENTHIC FORAMINIFERA PART II: SUBORDER MILIOLINA
Authors: Anan Haidar Salim
Published: February 2025

The modern taxonomical consideration is used for the studied fifty two small porcelaneous benthic foraminiferal species of the Suborder Miliolina throughout the Bartonian-Priabonian belonging to nine genera from seventeen countries in the Norther Tethys (USA, France, Belgium, Germany, Austria, Italy, Hungaria, Slovenia, Turkey) and Southern Tethys (Ecuador, Chile, Argentina, Libya, Egypt, UAE, Pakistan, India). Two of the recorded species are treated here as new: Massilina saidi Anan, n. sp. and Quinqueloculina alaghai Anan, n. sp. Some of the recorded species are distributed outerside its original description in neighbor localities or even far from it, but others are endemic to their original description. The recorded foraminiferal assemblage indicates an open marine environment, and represents favor warm, marginal to deep sheltered environments.
INFLUENCE OF THE GARNET CONCENTRATION OF METAMORPHIC ROCKS ON THE FORMATION OF LATERITIC MATERIALS AND THE VARIATION GEOTECHNICAL PARAMETERS IN ROAD BUILDING: CENTER REGION OF CAMEROON
Authors: Menye Alain Justin , Mbessa Michel , Bilong Paul
Published: February 2025

This study shows the influence of garnet’s content (Cg) of metamorphic rocks on the formation of lateritic materials and their geotechnical road parameters according to the standard test methods of the American Society for Testing and Materials (ASTM). Less than Cg (10 percent) involves the formation of fewer nodules, small sizes with a percentage of fines (˂ 80 μm) as high as 61.9 percent. 20 to 25 % of Cg induced the formation of more and larger nodules and low fines (17.0 to 5.9 percent) in lateritic gravel (LG). These values of fines (%fines) are opposed to the optimum dry density values of compaction γdopm (2.000, 2.430 and 2.460) at the modified Proctor optimum and bearing capacity CBR to 95 % (36, 60 and 68 %) of GL. Thus, GL can be used gradually in sub-base for T2, T3, T4 traffic and base for T1, T2 traffic. The Multiple Determination Coefficients (MCD) are 0.966 with R2 = 0.933 for γdopm, 0.743 with R2 = 0.552 for ω (%) and 0.961 with R2 = 0.924 for CBR according to Cg and %fines. Thus, Cg influences the compaction parameters and %fines of lateritic materials derived from garnet metamorphic rocks. The higher Cg of the parent rock, the best of geotechnical properties of GL derived.
MULTI DETERMINISTIC BASED ASSESSMENT OF THE BEARING CAPACITY FOR A SHALLOW FOUNDATION: CASE STUDY OF LAGOS SOUTHWEST, NIGERIA
Authors: J.T. Oladipupo , Stanley Eze U. , Ravari Mohammad K. , Waziri S.H. , Saleh Saleh .A. , Omafume Orji M. , J.O Avwenaghegha, , Alaran Zainab
Published: February 2025

Shallow foundations are a popular and affordable foundation type for construction of buildings and engineering structures. Therefore, precise assessment of the underlying soil structure’s bearing capacity is critical for their successful application. In this study, a multi-deterministic technique has been used to evaluate the bearing capacity of a shallow foundation. Empirical estimation of allowable bearing capacity (BC) was based on data from cone penetration tests employing the Schmertmann’s approach. The BC generally increased with depth across all CPTs, aligning with the observed increase in cone resistance (qc) values. A strengthening soil profile was indicated by the overall rise in the average allowable bearing capacity with depth. The numerical modeling with Plaxis-3Dv24 software application accurately estimated the bearing capacity and settling behavior of the shallow foundation on lateritic clay. The findings are consistent with empirical estimates derived from CPT data, notably for allowable bearing capacity. The average bearing capacity estimated from CPT data was 604.98 KN/m², corresponding to an allowable bearing capacity of 201.66 KN/m². The numerical model predicted an ultimate bearing capacity of 620 KN/m², slightly higher than the empirical estimate, and resulting in an allowable bearing capacity of 206.67 KN/m² with a factor of safety (FoS) of 3 against shear failure. The calculated allowable bearing capacities from both methods are relatively close, indicating a reasonable level of agreement. In terms of settlement, the numerical model predicted initial settlement was 8.0 mm, well within the limiting settlement pressure, while for the empirical data settlement information was available for direct comparison. Therefore, the numerical model provided useful insights regarding settlement. It is critical to recognize that the numerical model’s accuracy is strongly reliant on the input soil parameters (unit weight, Young’s modulus, Poisson’s ratio, cohesion, and friction angle), which were estimated based on field research data and engineering appraisal. Therefore, future research could use advanced constitutive models or laboratory testing to refine these values for more precise numerical simulations. The multi-deterministic technique can be extended to a broader range of case studies involving shallow foundations on lateritic clays, resulting in a more comprehensive database of design variables.
RENEWABLE ENERGY POTENTIALS AND NIGERIA’S INDUSTRIALIZATION DRIVE: PROSPECTS, CHALLENGES AND WAY FORWARD
Authors: Olabomi Rasaq Adekunle
Published: February 2025

Industrialization had been a major driver of the global socio-economic development and its ecosystems but rest on energy security for its sustainable process. Nigeria’s industrialization drive has largely been challenged with inadequate supply of energy due to poor implementation of energy frameworks and infrastructural challenges in the energy sector among others. More than 70% of the industries in Nigeria operate on self-generated power which had always been via fossil-based system that is both finite in supply and environmentally unfriendly. This also affect the competitiveness of light industries resulting in their closure. According to the Nigerian Association of Chambers of Commerce, Industry, Mines, and Agriculture (NACCIMA), more than 800 small and medium scale industries closed down between 2009 and 2011 due to energy related issues (PremiumTimes 2012). Meanwhile, Nigeria has a high renewable energy potential which could be harnessed to close the energy supply gap for the industrialization drive. This study assesses the potentials and prospect of renewable energy exploitation for industrialization in Nigeria with focus on the applicability of the current frameworks on renewable energy and industrialization process. Despite the huge renewable energy potential and a number of policy and institutional frameworks on renewable energy, the study found poor implementation of the policy due to no clear leadership in the implementation, hence it recommends energy commission of Nigeria to take a coordinating role. The current industrial policy is also found to be obsolete and recommended to be reviewed while there should be development of home-grown advanced manufacturing technology (AMT) system to utilize low-to-medium density energy obtainable from renewable sources for industrialization in Nigeria
AEROMAGNETIC STUDY OF KALTUNGO-173, GUYOK-174, LAU-194 AND DONG-195 IN UPPER BENUE TROUGH NIGERIA FOR MINERALIZATION POTENTIALS
Authors: Haruna Abdullateef A. , Ayanninuola Olatunji S. , Ofoegbu Charles O. , Uko Etim D.
Published: February 2025

This study focuses on the exploration of mineralization potentials in Kaltungo-173, Guyok-174, Lau-194 and Dong-195 in the Upper Benue Trough, Nigeria, using high-resolution aeromagnetic data obtained at an altitude of 100m along a flight line spacing of 500m oriented in NW-SE and a tie line spacing of 2000m. The maps generated are on a scale of 1:100,000 and half-degree sheets contoured mostly at 10nT intervals. The data was then processed and analyzed using Geosoft Oasis Montaj software to identify areas of high magnetic anomalies. The results show the structural trends of rocks in the area are in the E-W, NE-SW, and N-S respectively which represent the various episodes of deformation from the youngest to the oldest, several positive signals from several places in the analytical signal map which is an indication of an intense igneous activity occurring as a near surface intrusion or very shallow basement from Basement outcrop in the south region. Pwana, Bajama, Pupule, Gorra, Bille, Jambutu, Didngo, Lau, and Tau, and the basement occurrences as intrusion within the sedimentary section covering the north, north-eastern, north-western in regions such as Kwya, Kashere, Lamumgu, Polapindi, Kaltungo Tula Wange, Kulani, Dunma Guyuk and Sabon Layi Jessu in most part of the study area. Sediment thickness between -2200m to -83m was established over the area. The findings show that this area has a high potential for mineralization, making it a prime location for future mining or extraction operations. This information can be used by researchers and companies looking to invest in the mineral resources of Nigeria. The abundance of intrusive bodies in the study area renders this part of the Northern Benue trough where our study area falls in within the Nigerian sedimentary basins unattractive for petroleum exploration but the area possesses high potential for large accumulation of base metal mineralization.
PREDICTION OF CARBON EMISSIONS FROM TRANSPORTATION IN CHINA BASED ON THE ARIMA-LSTM-BP COMBINED MODEL
Authors: Musa Noor Azalina , Hashim Noor Haslinda Noor
Published: February 2025

Transportation is not only a significant force in promoting economic and social development but also one of the primary industries that consume energy and emit greenhouse gas emissions. In order to achieve China’s overall goal of reaching the carbon peak by 2030, this paper selects six influencing factors, such as population, GDP and urbanization rate, and proposes a combined prediction model based on ARIMA-LSTM-BP, which predicts transportation carbon emissions in China from 2022 to 2050 under three scenarios of low carbon, benchmark and high carbon. The results show that the peak emissions of transportation in low-carbon, benchmark and high-carbon scenarios are 1624.7732 million tons, 1478.1694 million tons and 1367.5417 million tons, respectively, reaching the peak in 2031, 2034 and 2039. It can be seen that in China, the transportation industry alone cannot achieve the goal of reaching the peak by 2030, and more measures need to be taken to achieve the carbon peak of the transportation industry as soon as possible.
STUDY ON THE EFFECT OF ROW SPACING AND NPK ON PERFORMANCE OF MUNGBEAN (VIGNA RADIATA) IN SUNDARBAZAR LAMJUNG
Authors: A. Bhandari , G.P. Chataut , G. Dhital
Published: February 2025

Mungbean (Vigna radiata) has gained increasing significance as a crucial grain legume in Nepal’s tropical and sub-tropical regions due to its short growth cycle and soil fertility enhancement properties. This research was conducted at Agronomy farm of Lamjung campus, to assess how mungbean performs under varying row spacing and Npk fertilizer levels. The study employed two-factorial Randomized Complete Block Design with three row spacing levels (20 cm, 25 cm, and 30 cm) and three NPK fertilizer doses (10:10:10, 20:20:20, and 30:30:30 kg NPK/ha) as treatments. The investigation explored phenological and yield attributing parameters. Interestingly, the outcomes showed that row spacing had negligible impact on root growth attributes, including root length and nodule formation. However, root nodule number increased with higher NPK fertilizer levels, particularly notable with the application of (30:30:30) kg NPK/ha, resulting in the highest nodules per plant (140.40), while the lowest nodules (91.35) were observed with (10:10:10) kg NPK/ha. Vital traits like plant height, branch and leaf counts, pod set, pod length, and seed weight were unresponsive to both NPK doses and row spacing levels. In contrast, grain yield exhibited a substantial increase with NPK fertilizer application, with the highest yield (1263.55 kg/ha) achieved with (30:30:30) kg NPK/ha and the lowest (929.27 kg/ha) with (10:10:10) kg NPK/ha. Therefore, this study shows strong correlations, especially between root nodules and grain yield, emphasized key links. NPK doses impacted vital root nodules for nitrogen fixation and suggests dense planting of Pratikshya mung beans with increased NPK fertilizer.
REVIEWING CYBERSECURITY PROTOCOLS IN AFRICAN FINANCIAL SECTORS AGAINST GLOBAL STANDARDS
Authors: Atadoga Akoh , Osasona Femi , Onwusinkwue Shedrack , Obi Ogugua Chimezie , Dawodu Samuel Onimisi , Daraojimba Andrew Ifesinachi
Published: February 2025

In an era marked by escalating cyber threats, securing financial systems is paramount to safeguarding economic stability and consumer trust. This study conducts a comprehensive review of cybersecurity protocols implemented in African financial sectors, scrutinizing their alignment with established global standards. Employing a multidimensional analytical approach, the research aims to discern the strengths, weaknesses, and potential areas of improvement in current cybersecurity practices. The assessment encompasses a diverse array of protocols, including encryption mechanisms, intrusion detection systems, incident response strategies, and information sharing frameworks. By benchmarking these protocols against internationally recognized standards such as ISO/IEC 27001 and NIST Cybersecurity Framework, the study seeks to ascertain the level of compliance and identify gaps that may expose financial institutions to cyber vulnerabilities. Preliminary findings reveal a landscape characterized by a varying degree of adherence to global cybersecurity standards across African financial sectors. While some institutions demonstrate commendable alignment, others exhibit deficiencies that necessitate urgent attention. The study sheds light on the unique challenges faced by African financial institutions, considering factors such as resource constraints, evolving threat landscapes, and regulatory dynamics. The implications of this research extend beyond the immediate scope of the African financial sector, contributing valuable insights to the broader discourse on global cybersecurity governance. Recommendations derived from the analysis aim to empower policymakers, regulatory bodies, and financial institutions with actionable strategies to fortify cybersecurity resilience. Ultimately, this study strives to foster a more secure and interconnected global financial ecosystem in the face of ever-evolving cyber threats.
FACTORS AFFECTING THE INTEGRATION OF ARTIFICIAL INTELLIGENCE (AI) TECHNOLOGIES AMONG GROCERY STORE OPERATORS IN LAGUNA, PHILIPPINES
Authors: Alfonso Marian P. , Alfonso Ma.Ricci Angeline P.
Published: February 2025

The study was conducted to assess the extent of integration of artificial intelligence in grocery stores in Laguna. Specifically, it dealt with the current level of integration of AI technology in grocery stores, and factors affecting the Integration of AI technology for customer management in grocery stores in AI Integration. The descriptive-correlational research design was used in this study. The survey questionnaire was used to gather primary data. A total of 317 grocery store owners and managers in the province of Laguna were the respondents of the study. Descriptive and inferential statistics were used to analyze the data gathered. Findings revealed a minimal level of AI technology is integration among grocery stores in Laguna, reflecting a potential area for growth and development in leveraging AI to enhance customer engagement. As the grocery industry evolves, there is room for increased AI adoption to drive innovation and competitiveness in the retail sector. Thus, it is therefore recommended to provide guidelines for grocery store operators to facilitate the adoption of AI technologies for effective customer management. This entails equipping them with comprehensive insights and practical strategies to leverage artificial intelligence across various aspects of business operations.
IDENTIFYING SUITABLE CANDIDATES FOR POLICE, SECURITY, AND PROTECTIVE SERVICE ROLES BASED ON HOLLAND’S RIASEC MODEL USING THE FIKR (FACET, INSIGHT, KNOWLEDGE, AND RESILIENCE) PROFILING ASSESSMENT TOOL
Authors: Yap Chee Kong , Leow Chee Seng , Leong Wing Sum Vincent
Published: February 2025

This study analyzed 300 respondents using Holland’s RIASEC Model Using the FIKR (facet, insight, knowledge, and resilience) Profiling Assessment Tool to identify those most suitable for police, security, and protective service roles. The focus was on the Realistic (R), Enterprising (E), and Social (S) dimensions, which are crucial for success in these fields. Out of the 300 respondents, 50 individuals (or approximately 16%), demonstrated high scores in both the Realistic and Enterprising dimensions, indicating strong potential for these roles. Of these, 35 individuals (about 11.7%), also scored highly in the Social dimension, making them well-suited for positions requiring public interaction and teamwork. Among these 35 individuals, 5 stood out as exceptionally suitable for police and security roles due to their balanced and high scores across all three dimensions. These findings highlight the value of incorporating personality assessments into recruitment processes for protective services, providing a more nuanced approach to identifying candidates with the ideal combination of traits. This study underscores the importance of the RIASEC model in enhancing recruitment strategies in critical public safety roles.
Motorové jednotky nezávislej trakcie s jednonápravovým podvozkom
Authors:   University of Žilina, Bučko Martin , Dižo Ján , Blatnický Miroslav , Lovska Alyona
Published: February 2025

The article analyses the current state of the motor wagons and units with implemented single-axle bogies, operated on local lines as well as abroad. The technical parameters of individual rolling stock were compared. The main goal of the article is to present an overview of independent traction multiple units, which are equipped with a single-axle bogie. There are described rail vehicles used on only in the Slovak Republic, but also in Europe. As the use of this type of rail vehicle is on the decline, this overview reflects the current state in this field of rail vehicle design, at which, information is complemented with corresponding illustrations.
Nour Mufied and His Approach in Writing The Al Mufied Dictionary
Authors: Hidayat Surya , Azizah Azizah , Harson Iwan , Bahruddin Uril
Published: February 2025

The Al-Mufied Dictionary is a modern Indonesian-Arabic dictionary widely utilized by learners of Arabic in Indonesia, particularly beginners. This dictionary not only provides vocabulary but also includes example sentences and phrases that learners can apply in context. This study aims to examine the methods employed by Nur Mufid in compiling the Al-Mufied Dictionary and to evaluate its strengths and weaknesses. A qualitative library research method was adopted, with data collected through documentation that explains the dictionary's structure and development methodology. The analysis involved reviewing relevant literature to explore the background and contributions of key figures and dictionaries within this domain. The findings reveal that the dictionary employs a root-based morphological approach and is organized alphabetically in Indonesian. In conclusion, the Al-Mufied Dictionary is highly suitable for Indonesian students due to its alphabetical arrangement in Indonesian and the inclusion of example phrases that facilitate comprehension.
Implementation of Flashcards Media in Learning Hijaiah Letters for Early Childhood
Authors: Amani Aisyah Melynia , Robbani A. Syahid , Yunianti Fitria Sari
Published: February 2025

Learning media is a tool used to help the teaching and learning process become more effective and enjoyable. One of the fun and interesting learning media is flashcardss. This study aims to determine how the implementation of flashcards and supporting factors and inhibiting factors of flashcards media in learning hijaiah letters in early childhood at the Rumah Tahfidz Balita Ahmad Dahlan. This study uses a field case study research type that uses a qualitative descriptive method. In this study, the use of qualitative descriptive methods was chosen as an approach that can be used to analyze the role of flashcards media in learning hijaiah letters in early childhood. The subjects of this study included the principal, ustadzah and students of the Sibyani class at Rumah Tahfidz Toddler Ahmad Dahlan, with the object of research in the form of flashcards learning media. Using the Miles and Huberman model technique in determining data analysis. Data collection techniques with observation, interviews, and documentation. The results of this study are that Rumah Tahfidz Toddler Ahmad Nganjuk uses flashcardss as the main media for learning hijaiah letters. In the learning process, there are two stages, namely the preparation and implementation stages. Some supporting factors and inhibiting factors are supporting factors including 1) Teacher competence, 2) Facilities and infrastructure, 3) Utrujah method as a learning method, 4) Cooperation between teachers and parents. As for inhibiting factors, namely 1) Children's characteristics. 2) Students do not follow learning effectively.
Clinical Evolution and Safety of a Cryotherapy - Based Spray for Mild to Moderate Joint and Muscle Pain: A Descriptive Observational Study
Authors: Ballester Herrera Manuel A , Muñoz Vives Josep M , Marti Agusti
Published: February 2025

Background

Cryotherapy, long used for its pain-relieving and anti-inflammatory effects, is widely applied in sports medicine, physiotherapy, and postoperative care. Advances in cryotherapy methods, including the use of topical vapocoolant sprays, offer enhanced pain management and support recovery from musculoskeletal injuries by alleviating pain and reducing swelling in a targeted manner.

Hypothesis/Purpose

The primary aim was to assess both immediate and sustained pain relief in subjects with mild to moderate musculoskeletal complaints.

Study Design

Observational cohort study.

Methods

Fifty-nine participants with mild to moderate musculoskeletal pain participated in a three-week observational study evaluating a cryotherapy spray. Pain and range of motion (ROM) were assessed using the Visual Analogue Scale (VAS) and goniometer measurements at multiple time points, including T-1 (before treatment), T0 (beginning of treatment), T2-min, T5-min, T10-min, T15-min, T30-min, T60-min, T7-days, T14-days, while participants were actively receiving treatment exclusively with the cryotherapy spray, and T21-days (1 week after treatment cessation). Acceptability Test and additional subjective questionnaires evaluated participants analysis of cooling sensation and product tolerance. Data were analyzed using Cumulative Logit Mixed Models (CLMM) and the non-parametric Friedman test for repeated measures.

Results

The cryotherapy spray significantly reduced pain (VAS) from baseline (p < 0.001, Hedges’ g = -1.90) and improved joint mobility (ROM) with derived scores increasing from 3 (3–4) to 4 (4–4) by Day 21 (p < 0.001). Rapid pain relief was reported by 35% of participants within 10 seconds, with 80% experiencing relief within three minutes. Comfort ratings were consistently high, with 95% of participants expressing satisfaction at Day 0, rising to 99% by Day 14. Global efficacy satisfaction measured by a subjective Likert scale also increased from 75% at baseline to 95% by Day 14. No adverse events were reported.

Conclusion

This study supports the effectiveness of the cryotherapy spray in reducing pain and improving joint mobility, with both immediate and sustained benefits. High patient satisfaction and a favorable safety profile suggest its potential for clinical use. Further controlled studies could confirm its efficacy in broader populations.

Level of Evidence

Level 3
The effectiveness of digital advertising towards customer satisfaction
Authors: Angelin Reshma S. , Jesintha P.
Published: February 2025

In the modern era, digital advertising plays a significant role in selling products by leveraging various digital platforms such as social media, pay-per-click, search engine optimization, and email marketing to connect with existing customers and potential buyers. This study aims to assess the level of customer satisfaction in digital advertising and identify the most influential media channels. A total of 90 respondents were selected through a random sampling method to conduct this analysis. Primary data and secondary data were collected for this study and SPSS software were used to analyze the data.
Deep learning-based image processing approach for irradiance estimation in MPPT control of photovoltaic system
Authors: Dammu Arun Kumar , Rasabattula Koti Babu
Published: February 2025

Renewable energy significantly contributes to power generation to meet the growing energy demand. It is sourced from solar, wind, hydroelectric, and other sources. Among these, solar energy is considered the most suitable due to its cleanliness and its ability to directly convert sunlight into electrical power through solar photovoltaic (PV) modules. One of the biggest challenges with solar panels is the random fluctuation of their power output due to variations in irradiance. The concept of maximum power point tracking (MPPT) techniques has been introduced to address this non-linear behavior of PV systems and optimize their efficiency. Various MPPT techniques have been proposed, based on both conventional and intelligent methods. In this work, a novel image processing-based MPPT technique is introduced to enhance the efficiency of PV systems. The irradiance level is accurately classified using the self-learned EfficientNetB0 deep learning model. The parameters of the EfficientNetB0 model are adjusted using Tuna Swarm Optimization. The results show that the tracking efficiency is higher compared to other intelligent MPPT techniques. The classification accuracy of the proposed learning model surpasses that of conventional models.
OSTEO-AI: A Systematic Review and Meta-Analysis of Artificial Intelligence Models for Osteoarthritis and Osteoporosis Detection and Prognosis
Authors: Alborzi Melina , Abadi Parsa
Published: February 2025

Introduction: Osteoarthritis (OA) and osteoporosis are leading degenerative bone diseases that diminish quality of life and impose significant socioeconomic costs. Traditional diagnostic approaches, including imaging and bone density assessments, often fail to detect disease in its early stages, delaying critical interventions. Emerging artificial intelligence (AI) techniques, particularly those employing machine learning (ML) and deep learning (DL), offer promising avenues for early detection and more accurate prognostication.
Methods: We conducted a systematic review of AI models developed between 2018 and 2024, assessing their performance in diagnosing and predicting the progression of OA and osteoporosis. Studies utilizing supervised or unsupervised methods applied to imaging modalities (e.g., X-ray, MRI, DXA) or clinical data were included. We evaluated model accuracy, reliability, clinical applicability, and generalizability. Quality and risk of bias were assessed using a modified CLAIM framework, ensuring alignment with transparency, validity, and clinical integration standards.
Results: Of 2,300 identified articles, 33 studies met the inclusion criteria. Top-performing models for OA reached up to 97% accuracy, with one study achieving an AUC of 0.93 for MRI-based progression prediction. For osteoporosis, the strongest models attained a C-index of 0.90 using DXA imaging, indicating robust fracture risk prediction. Nevertheless, many studies relied on geographically or demographically homogeneous datasets, limiting broader applicability. Only 15% included external validation, and a substantial proportion lacked interpretability features essential for clinical adoption.
Discussion: AI-driven models outperformed conventional diagnostic tools in accuracy and early disease detection. However, the limited dataset diversity, infrequent external validation, and insufficient model interpretability pose barriers to clinical integration. The reliance on male-dominant datasets for osteoporosis and geographically narrow cohorts for OA underscores the need for broader data representation. Standardizing evaluation metrics and improving explainability will enhance cross-study comparisons and support adoption in practice.
Conclusion: AI holds transformative potential for improving OA and osteoporosis diagnostics, facilitating earlier interventions, and informing personalized patient management. Future work should prioritize diverse, well-validated datasets; transparent, clinician-friendly interfaces; and standardized performance metrics. Addressing these challenges will enable AI to evolve from a promising innovation into a cornerstone of global musculoskeletal healthcare.
Intangible Landscapes: Drawing atmosphere in landscape architectural practice
Authors:   , Hau Benjamin
Published: February 2025

This thesis examines how the intangible aspects of landscape—such as sensory, temporal, and atmospheric qualities—impact human experiences related to sustainability, community, and a sense of place. Despite their significance, these qualities are frequently overlooked in the landscape design process. Adopting a research-through-design approach, this study investigates how drawn representations can highlight intangible experiences and inform design practices. The focus of the investigation is the Porirua Stream adjacent to Porirua Train Station, employing various drawing techniques and mediums to capture atmospheric qualities and guide design decisions. The research engages with the contributions of scholars like Eric Bellin, Elizabeth K. Meyer, Kenneth Olwig, and Tim Ingold to contextualise the understanding of atmosphere in landscape. Through experimentation with diverse visual strategies, this thesis aspires to develop techniques that integrate atmospheric qualities into site analysis and design representation. The findings aim to enrich the discourse on recognising and preserving the intangibility of landscapes within design processes, offering innovative methods for visualising and responding to landscape atmosphere.
Clinical Analysis of Combining Probiotics with High-Dose Dual Therapy for Helicobacter pylori Eradication
Authors: Chen Mengnan , Xu Huaili , Zhang Juanli , Li Tao , Wang Erwei
Published: February 2025

Objective: To compare the eradication rates of Helicobacter pylori (HP) and the incidence of adverse reactions among three treatment methods. Methods: A total of 139 patients with Helicobacter pylori infection diagnosed at the outpatient clinic or during hospitalization in the Department of Gastroenterology of West Electric Group Hospital from January 2022 to April 2023 were enrolled. Patients were divided into three groups: dual therapy group (46 cases), triple therapy group (62 cases), and quadruple therapy group (31 cases). The dual therapy group received omeprazole and amoxicillin; the triple therapy group received omeprazole, amoxicillin, and probiotics; the quadruple therapy group received omeprazole, colloidal bismuth pectin capsules, amoxicillin, and furazolidone. All treatments lasted for two weeks. The eradication rates and incidence of adverse reactions were compared among the three groups. Results: The eradication rates for the dual, triple, and quadruple therapy groups were 84.8%, 85.5%, and 85%, respectively (P > 0.05). The primary adverse reactions included gastrointestinal symptoms such as bloating, abdominal pain, loss of appetite, and abdominal discomfort, with incidence rates of 1, 2, and 6 cases in the dual, triple, and quadruple therapy groups, respectively (P = 0.574). However, a significant difference was found between the dual and quadruple therapy groups (P = 0.03) and between the triple and quadruple therapy groups (P = 0.026). Neurological side effects, such as dizziness and headache, were rare, with incidences of 0, 1, and 1 cases in the dual, triple, and quadruple therapy groups, respectively (P = 0.611). Conclusion: The efficacy of dual, triple, and quadruple therapy for eradicating Helicobacter pylori showed no significant difference. However, the dual and triple therapy groups had lower adverse reaction rates, making them suitable alternatives to traditional quadruple therapy for reducing patient discomfort. The probiotic group also contributed to the restoration of normal gastrointestinal microbiota.
Knowledge and Attitudes About Hepatitis B (HBV) Infection Among Women of Reproductive Age in China
Authors: Han Xue , Lucero Jeffrey A.
Published: February 2025

Objective: To assess the knowledge and attitudes about hepatitis B (HBV) infection among women of reproductive age in China, exploring the factors that influence their understanding of the disease and their perceptions toward individuals infected with HBV. Methods: A descriptive-correlational research design was employed, using purposive sampling to select 114 women of reproductive age from a community in Shandong Province, China. Data were collected through two structured questionnaires: one assessing HBV knowledge and the other measuring attitudes toward HBV. Descriptive and inferential statistical analyses, including chi-squared tests and Spearman correlation analysis, were used to examine relationships between demographic characteristics, knowledge, and attitudes. Results: The majority of participants demonstrated low knowledge about Hepatitis B, with 99.1% scoring within the low knowledge range. However, respondents exhibited generally positive attitudes toward prevention and inclusion. Significant associations were found between vaccination history and better knowledge scores, as well as between familial exposure and increased knowledge and positive attitudes. A weak inverse relationship between knowledge and attitudes was observed, suggesting that higher knowledge did not necessarily correlate with more favorable attitudes. Conclusion: The study highlights significant gaps in knowledge about Hepatitis B among women of reproductive age, despite positive attitudes toward prevention and social inclusion. Vaccination history and familial exposure were key factors associated with better knowledge and more supportive attitudes. These findings suggest the need for targeted health education strategies that address both knowledge gaps and emotional factors to improve attitudes and enhance preventive behaviors.
Study on the Construction of Whole-course Nursing Objective Management System for Patients with Type 2 Diabetes
Authors: Wu Lei
Published: February 2025

Objective: To explore the effect of a whole-course nursing objective management system on disease control and quality of life in patients with type 2 diabetes, and to propose strategies for constructing such a system for these patients. Methods: Ninety patients with type 2 diabetes admitted to the Department of Endocrinology of the hospital from January 2024 to June 2024 were selected. The control group (n = 45) received routine nursing care, while the observation group (n = 45) received whole-course nursing. Indicators such as glucose metabolism and compliance behavior were measured before and after care, and the health and quality of life of patients in both groups were evaluated. Results: A comparison of blood glucose levels and compliance behavior showed that the observation group had lower blood glucose levels than the control group (P < 0.05). Additionally, the compliance behavior score of the observation group was higher than that of the control group (P < 0.05). Conclusion: The holistic nursing model demonstrates significant nursing effects for patients with type 2 diabetes. This approach not only assists in blood sugar control, prevents disease progression, and reduces complications, but also enhances patients’ knowledge of health management, aiding in their recovery.
Plasma Combined with Drugs: Synergistic Mechanisms for Eliminating Cancer Cells
Authors: Bai Jie
Published: February 2025

With the continuous advancement of cancer treatment methods, plasma combined with drug therapy has garnered widespread attention as an emerging therapeutic strategy. This paper elaborates on the generation and characteristics of plasma, as well as its mechanisms of action on cancer cells when used alone, including the production of reactive oxygen and nitrogen species, and damage to cancer cell membranes, and organelles. It emphasizes the synergistic mechanisms observed when plasma is combined with various anticancer drugs (e.g., chemotherapeutic agents, targeted drugs, and immunotherapies). The analysis focuses on enhancing drug uptake, promoting the activation of drug action targets, and improving the tumor microenvironment. These insights provide a theoretical basis for optimizing plasma-drug combination therapy for cancer.