bluuebunny/crossref_metadata_2025 huggingface dataset:
STRATEGI MARKETING UNTUK MENINGKATKAN DAYA SAING UMKM KERIPIK MAMAH ESIH DAN GULA AREN ABAH EMPIN DI DESA RIDOGALIH
Authors: Rizky Anisa , Diah Latipah  , Maisya Fatinah Azahra  , Neng Nurhayati  , Sri Wahyuni  , Erry Mulyana  , Elangga Prama Raligia Nurfallah
Published: January 2025

The village of Ridogalih is located in the district of Cikakak, Sukabumi district, West Java Province. The village has an area of about 1,318,47 hectares and a population of about 6,308 people.The majority of its inhabitants are farmers, peasant workers, and entrepreneurs, while the rest are private workers, PNS, and fishermen. The village of Ridogalih is famous for its natural beauty and a variety of tourist possibilities including natural and cultural tours. Tourist attractions in this village include megalithic ruins such as Salak Plain, Curug Chiranji and Banana Hill. The village also has local products like sugar aren, cranberry oil, and peas grinding. Facilities available in Ridogalih Village include five primary schools and one primary secondary school, but there are no secondary schools. The village also has a village health centre (POSKESDES) that serves public health needs.Despite having a lot of potential, the village of Ridogalih is still minimal tourist promotion. Further efforts to promote the village through social media are expected to increase tourist visits and support local economic development
Edukasi Kesehatan Terhadap Tumbuh Kembang Anak dan Pencegahan Stunting di Desa Cimaja
Authors: Gina Purnama Insany  , Senita Richia Putri  , Moch. Nirmansyah  , Sandra Natasya  , Shanika Layung Medal Wangi  , Alun Sujjada  , Jamaludin Ahmad Rifai  , Asep Teguh Hidayat
Published: January 2025

Kesehatan gizi anak merupakan hal yang sangat penting bagi pertumbuhan dan perkembangan anak, ada tiga masalah gizi utama yang perlu diketahui, yaitu kekurangan gizi (wasting dan stunting), kekurangan zatgizi mikro (seperti anemia), dan kelebihan gizi (kegemukan atau obesitas). Dalam hasil survei yang dilakukan oleh kementrian Kesehatan pada tahun 2022 (SSGI 2022), terungkap bahwa di Indonesia 1 dari 12 anak balita mengalami wasting, dan 1 dari 5 anak balita menderita stunting. Program kerja yang kami lakukan adalah mengedukasi kesehatan dengan cara menstimulasi dan deteksi dini perkembangan balita dan anak dan bagaimana melakukan pemantauan perkembangannya. Metode yang dilakukan adalah mengedukasi secara langsung melalui kegiatan posyandu yang berada di Desa Cimaja Kecamatan Cikakak Kabupaten Sukabumi dan membawa tenaga ahli untuk menjelaskan dan mempraktekannya kepada masyarakat.
MENINGKATKAN KUALITAS HIDUP DAN PENGEMBANGAN DESA WISATA MELALUI DIGITALISASI DAN STRATEGI PEMASARAN YANG INOVATIF
Authors: Mulyadi Eggy , Nurhasanah Dewi , Sri Mulyati Ranti , Nafisa Dewi Asfya , Budiman Dana
Published: January 2025

Desa margalaksana menghadapi beberapa permasalahan yang kompleks, diantaranya stanting, kurangnya kesiap siagaan terhadap bencana alam dan minimnya pengembangan potensi wisata desa margalaksana. Permasalahan ini menghambat kemajuan desa dan kesejahteraan masyarakat. Edukasi dan penyuluhan tentang gizi seimbang, pemetaan wilayah rawan bencana, pembentukan kelompok siaga bencana (KSB), simulasi dan latihan kesiapsiagaan bencana, sosialisasi tentang bahaya membuang sampah ke sungai dan upaya penanggulangan bencana. Meningkatkan fasilitas dan layanan di tempat wisata, promosi online, pelatihan bagi masyarakat, menjaga kebersihan dan kelestarian lingkungan tempat wisata. Memperkenalkan budaya dan produk lokal kepada wisatawan. Penelitian pendahuluan, metode identifikasi, metode evaluasi, dan teknik evaluasi digunakan dalam metode pelaksanaan ini.  Rencana straregi program KKN desa margalaksana diharapkan dapat membantu menyelesaikan permasalahan yang dihadapi desa dan meningkatkan kesejahteraan masyarakat. Dengan partisipasi aktif dari semua pihak, ini dapat terlaksana dengan baik dan berkelanjutan.
Mewujudkan Desa Cisolok yang Bersih: Program Bank Sampah serta Aksi Pembersihan Sungai dan Pantai sebagai Upaya Peningkatan Kesadaran Lingkungan
Authors: Anggun fergina Anggun , Nirmala Neva Talitha , Ramdhani Mohammad Fajril , Fadilah Fadhlan Subhan , Muhammad Rofiiq  , Imam Sanjaya  , Adil Berliana Aprilia Haryadi
Published: January 2025

Pengelolaan sampah yang tidak efektif di Desa Cisolok, Kabupaten Sukabumi, telah menimbulkan masalah lingkungan, terutama di sungai dan pantai yang menjadi daya tarik wisata. Rendahnya kesadaran masyarakat terhadap kebersihan lingkungan menjadi alasan utama dilakukannya program kerja ini. Program ini meliputi pembersihan sungai dan pantai serta pembuatan Bank Sampah sebagai solusi pengelolaan sampah berkelanjutan. Metode yang digunakan adalah observasi langsung, wawancara dengan pemangku kepentingan, serta koordinasi dengan pihak terkait. Hasil kegiatan menunjukkan adanya peningkatan kesadaran masyarakat. Namun, tantangan dalam partisipasi masyarakat dan keterbatasan infrastruktur masih perlu diatasi. Program ini penting untuk meningkatkan kualitas lingkungan dan kesejahteraan masyarakat di Desa Cisolok.
Kolaborasi antara Lembaga, Masyarakat, Mahasiswa Bersama Membangun, Meningkatkan, Memperbaiki Sarana dan Prasarana Desa Gunung Karamat
Authors: Agustian Angga , Nur Fauziah Silvia , Resti Nuramanah  , Nahla Salsabila M  , Taufik Hidayat  , Asep Abdul Rahman  , Bayu Ramadhan  , Siti Kulsum  , Taufik Reifaldi  , Eka Safitri
Published: January 2025

The Community Service Program (KKN) is a form of manifestation of
one of the Tri Dharma of Higher Education, namely the service carried out by students to the
community which is constructive, improving and developing. This Community Service Program
aims to make a real contribution in improving the quality of life of the community. The activities
carried out cover several aspects, ranging from health, disaster mitigation, community
empowerment, to infrastructure, and educational aspects. The purpose of this study was to
determine the role of community service as part of student competency development. The
implementation of KKN is expected to develop students' social competence and personality
competence. The population and sample in this study were students participating in KKN and
the community at the location of the implementation of KKN Students. The data collection
methods used were observation, interview, and documentation. The results of this KKN activity
are expected to increase public awareness of the importance of health, disaster mitigation and
village potential. In addition, the infrastructure improvements made are expected to improve
the quality of life of the community. Overall, this KKN program is expected to make a positive
contribution to the development of Gunung Karamat Village.
Keyword: The Community Service Program, Competence, Collaboration, Build ko
Relationship between Perfectionism, Attitude towards Research and Plagiarism among University Students
Authors: Zahra Mina , Yusuf Shazia
Published: January 2025

The present study was conducted to find out the relationship between perfectionism, attitude towards research and plagiarism among university students. 360 research students (of BS/ MSc, MS/ MPhil, and PhD) were taken from the universities of Rawalpindi and Islamabad. It was hypothesized that there would be a positive relationship between perfectionism, attitude towards research and attitude towards plagiarism among research students. It was also hypothesized that the attitude towards research and attitude towards plagiarism varies across study programs (BS/MSc, MS/MPhil and PhD). Attitude towards research was measured with the help of Attitude Towards Research Scale (ATRS) (Rezaei & Zamani-Miandashti, 2013), plagiarism was measured through the Attitude towards plagiarism Questionnaire (ATPQ-R) (Mavrinac et al., 2010) and perfectionism was measured through the Short Almost Perfect Scale (Rice et al., 2014).  The results indicate that there is significantly positive relationship between perfectionism, attitude towards research and attitude towards plagiarism among research students. Plagiarism (plagiarism approval) is significantly high among the private sector universities than the public sector universities. Attitude towards research, plagiarism approval, and subjective norms towards plagiarism is high among PhD students as compared to bachelors and MS research students. Perfectionism significantly predicts the plagiarism approval among research students. The present study findings have important implications in the educational sector.
Parental Acceptance-Rejection, Social Cynicism and Ambivalent Sexism in Young Adult Women
Authors: Younas Faiz , Javaid Areeba , Solomon Vicar
Published: January 2025

The present study aimed to investigate the relationship between parental acceptance-rejection, social cynicism, and ambivalent sexism in young adult women. It was hypothesized that parental acceptance-rejection would significantly correlate with and predict social cynicism and ambivalent sexism, and significant socio-demographic differences would be evident across the study variables. Through a cross-sectional research design, a sample of 205 young adult women, aged 18-26 years (M = 21.25, SD = 2.1), were recruited in-person through non-probability purposive sampling. The assessment tools included a self-developed Sociodemographic Information Sheet, Short Form of the Adult Parental Acceptance-Rejection Questionnaire (Malik et al., 2012), Social Cynicism Scale for Women (Younas et al., 2023), and Ambivalent Sexism Inventory (Glick & Fiske, 1996). SPSS version 23 was used to analyze the data. The findings showed paternal warmth/affection negatively correlated with, and predicted, institutional cynicism while paternal-undifferentiated rejection and paternal- hostility/aggression were negatively associated with dispositional cynicism. Moreover, paternal indifference/neglect positively correlated with, and predicted benevolent sexism. Single women reported higher paternal warmth, women from nuclear families exhibited higher cynicism scores, and urban women reported higher maternal indifference/neglect. This study suggests the need for interventions that promote positive parenting practices and challenge traditional gender norms to mitigate distrustful and sexist attitudes in young adult women.
Body Esteem as Mediator between Social Media Addiction and Eating Behaviors among Young Adults
Authors: Khan Hajira , Ahsan Sadaf , Shafique Roma
Published: January 2025

Excessive use of social media and overindulgence of young adults on it has led to high risk eating behaviors. Viewing idealized body images of extremely thin and toned figures on social media increases body dissatisfaction, leading to eating disturbances. Body esteem is individual’s perception and thoughts about his body, weight and appearance. That perception can either be positive or negative. Although, now a days, the number of young adults using social media is growing day by day, but little emphasis was given to issues of eating behaviors occurring in them. Therefore, the main aim of this study was to examine the impact of social media addiction on eating behaviors among young adults. In addition, mediating role of body esteem was also studied. A cross-sectional survey design was employed. A sample of 400 university students was collected through purposive sampling technique. Hierarchical regression analysis demonstrated that social media addiction was the most significant and strongest positive predictor of worse eating behaviors whereas body esteem (i.e., appearance, weight and attribution) was negative predictor of worse eating behaviors. Body esteem significantly mediated the relationship between social media addiction and worse eating behaviors. Understanding the role of social media addiction on eating behaviors would help researchers in creating awareness regarding the role of social media addiction and its impact on individual eating behaviors.
Influence of hydrogen on reduction processes in a blast furnace
Authors:   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Nesterov O. S. , Harmash L. I. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Muravyova I. H. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Chaika O. L. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Lopatenko K. P. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Boldenko M. H. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine
Published: January 2025

The development and implementation of new low-carbon technologies is an urgent strategic task for the ferrous metallurgy. The use of hydrogen instead of carbon as a reducing agent in blast furnace processes is a promising way to significantly reduce harmful emissions, but the efficient use of hydrogen requires an in-depth study of the influence of various factors (temperature, chemical composition, porosity, reduction time, etc.) on the reduction processes. Despite a large number of studies, there is still no unambiguous and generally accepted theory that would generalize all the patterns of hydrogen reduction processes in a blast furnace, and the results of studies which were conducted under various conditions are quite contradictory. To determine the prospects and problems of using hydrogen-containing gases in Ukrainian metallurgical plants, it is necessary to study the reduction behavior of various types of raw materials characteristic of Ukrainian realities. A number of studies of the effect of hydrogen on reduction processes in a blast furnace for different types of iron ore raw materials of Ukrainian production were conducted in the laboratory conditions of the ISI. The reduction processes were modeled on the laboratory equipment of the ISI using various mixtures of reducing gases close to industrial conditions. The effect of hydrogen content, heating rate and gas feed rate on the mass loss of the samples was studied and then the reduction index R was calculated. It was determined that an increase of the hydrogen content in the reducing gas mixture in the temperature range of 900-1000 °C is accompanied by an improvement in reduction for various charge materials, but the reduction behavior of the sinter and pellets differs significantly for different ranges of hydrogen content in the gas mixture and different feed rates. Analysis of the experimental data allowed to determine the most effective ranges of hydrogen content in the reducing gas for these conditions. The results obtained confirm the effectiveness of using hydrogen as a reducing agent in the conditions of Ukrainian blast furnace, and the obtained patterns and conclusions can be used to improve technologies that facilitate the production of environmentally friendly steel.
Theoretical assessment of a single influx of technological factors on the effectiveness of the process of desulfurization of iron with magnesium
Authors:   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Manachyn I. O. , Yelisieiev V. I. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Kysliakov V. H. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Petrusha V. P. ,   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine
Published: January 2025

The aim of the study was to theoretically evaluate, based on physicochemical calculations, the single effect of temperature, initial and final sulfur content, depth of the liquid bath, and mass of iron on the efficiency of the process of desulfurization of iron with magnesium. The theoretical evaluation showed that for all considered iron temperatures (1200 – 1600 °C), the thermodynamically most preferred mechanism for desulphurization of iron using magnesium is the process based on the interaction of sulfur dissolved in the metal phase with dissolved magnesium; the desulphurization process with the dissolution of vaporized magnesium in liquid iron is thermodynamically more probable for all considered tuyere immersion depths (0 - 4 m). A theoretical quantitative assessment of the effect of the tuyere immersion depth on the efficiency of desulphurization of iron with vaporized magnesium and dissolution of vaporized magnesium in iron was performed. It has been determined that when the final sulfur content changes within the range of 0.002 - 0.010%, with an increase in the final sulfur content in iron by 0.001%, the efficiency of the process of desulfurization of iron with magnesium increases by 10%; an increase in the initial sulfur concentration by 0.01% leads to an increase in the probability of the reaction through dissolved magnesium in the range of 15 - 25%, and the reaction through gaseous magnesium in the range of 9 - 19%; with an increase in the initial sulfur concentration in iron by 0.01% and a change in the final sulfur content by 0.001% in the range of 0.002 - 0.010%, the increase in the efficiency of the desulfurization process increases in the range of 5.5 - 9.4%; no significant effect of the mass of the treated iron on the desulfurization process was found.
Determination of the mechanical properties of synthetic cast iron when using carburiser obtained by electrothermal fluidised bed
Authors:   Iron and Steel institute of Z. I. Nekrasov National academy of sciences of Ukraine, Hubynskyi M. V. , Merkulov O. Ye. ,   Iron and Steel institute of Z. I. Nekrasov National academy of sciences of Ukraine, Sybir A. V. ,   Iron and Steel institute of Z. I. Nekrasov National academy of sciences of Ukraine, Fedorov S. S. ,   Iron and Steel institute of Z. I. Nekrasov National academy of sciences of Ukraine, Hubynskyi S. M. ,   Ukrainian State University of Science and Technologies, Foris O. M. ,   Ukrainian State University of Science and Technologies, Dudchenko S. O. ,   Iron and Steel institute of Z. I. Nekrasov National academy of sciences of Ukraine, Dzhygota M. H. ,   Iron and Steel institute of Z. I. Nekrasov National academy of sciences of Ukraine
Published: January 2025

The development of high-temperature technologies in metallurgy and the chemical industry is associated with the replacement of fossil fuels with green electricity. The process of heating carbonaceous raw materials in an electrothermal fluidized bed (EFB) offers this opportunity. This is when the current passes directly through the bed and heats it up using joule heat. This process allows to significantly reduce energy consumption compared to traditional technologies based on the use of Atchinson and Kastner furnaces. One of the products that can be obtained in EFB furnaces is carburizers used in the smelting of synthetic cast iron. The conducted research allowed us to determine the properties of carburizers that ensure the quality of cast iron and the parameters of heat treatment of precursors in EFB. The purpose of this study was to obtain a direct answer about the efficiency of carburizers produced by the new technology. This task was solved by comparative tests of carburiser produced by the EFB method and traditional technologies in the production of synthetic cast iron. The tests were conducted using a laboratory induction furnace with a capacity of 10 kg. The melts were carried out under identical conditions. As a result, the results proved that the carburizing processes of cast iron with carburizer obtained by the new technology and synthetic graphite have similar temperature and kinetic dependencies. The degree of carbon assimilation is almost the same. Metallographic analysis of the obtained synthetic cast iron samples showed that the castings obtained using synthetic graphite are characterized by a larger number of pores, which may be the reason for the decrease in mechanical properties. The results of compression, tensile, bending and hardness tests confirmed this. The test results proved the effectiveness of producing high-quality carburiser using EFB technology.
Development of ASC in the blowing mode of the ring furnace when enriching the blow with process oxygen
Authors:   Ukrainian State University of Science and Technologies, Mikhailovskyi M. V. , Gupalo O. V. ,   Ukrainian State University of Science and Technologies, Yehorov O. P. ,   Ukrainian State University of Science and Technologies, Shibakinskyi V. I. ,   Ukrainian State University of Science and Technologies
Published: January 2025

The promising measures to increase the energy efficiency of ring furnaces is to increase the air heating temperature by transferring the ring furnace to a regenerative heating system and enrichment of combustion air with process oxygen. The use of regenerative burner devices requires significant investments. At the same time, in the presence of surplus process oxygen and limited investment opportunities of the enterprise, it is advisable to implement the technology of heating metal in oxygen-enriched air. The thermal operation of ring furnace of pipe rolling workshop No. 4 of PJSC "Interpipe NTZ", which operates on atmospheric and oxygen-enriched air, was studied. Two options for organizing the mixing of process oxygen with atmospheric air were considered: 1) after heating atmospheric air in the recuperator; 2) before the recuperator with subsequent heating in the recuperator of a mixture of atmospheric air and process oxygen. To implement the measure, a temperature regime for the furnace operation on oxygen-enriched air was developed. Based on the analysis of the technical and economic situation at the enterprise, it is recommended to implement the option of mixing heated atmospheric air with process oxygen after the recuperator. The algorithm for controlling such the combined blast of ring furnace has been developed. Taking into account the requirements of the technical task, an appropriate control system using the microprocessor computing complex has been developed. Based on the results of computer modeling of "gas-air-oxygen" ratio control, the control laws have been selected and the settings of the fuel, heated air and process oxygen flow regulators have been determined, which ensure the specified thermal regime of the heating ring furnace. It has been determined that to use the available process oxygen resource of 2000 m3/h in the ring furnace, it is possible to increase the oxygen concentration in the blast air to 33.6%. This ensures an increase in the energy efficiency of furnace and fuel savings of up to 18%. The annual economic effect of implementing the measure will be almost 10 million UAH. The results of the work can be the basis for creating an automated control system for the combined blast of the ring furnace.
Directions of development of charge formation technology for smelting refractory multisilica materials
Authors:   Iron and Steel Institute of Z. I. Nekrasov National Academy of Sciences of Ukraine, Mazur V. V.
Published: January 2025

It is shown that the use of energy-saving technologies in metallurgy, energy, chemical industry and other industries is an urgent task for Ukraine at the current stage of restoring its scientific and technical potential. At present, machine-building and chemical enterprises, power plants, energy facilities, etc. are carrying out routine and major repairs, modernisation and reconstruction of equipment, including to save heat and energy resources. A promising area for the development of heat and energy conservation is the introduction of innovative solutions for the industrial use of high-temperature insulation made of multisilica fibres that can withstand temperatures up to 1600 °C. It has been established that the possibility of using such refractories in metallurgical units operating at high temperatures is ensured, first of all, by the composition of the charge for smelting refractory multisilica material. Technical characteristics of raw materials intended for the manufacture of multisilica heat-insulating fibre blocks and other refractory products are given. On the example of the planned modernisation of the Sinelnykivsky "SINTIZ" plant, the article considers effective technical and technological solutions for improving production, namely the technology of smelting refractory multisilica material. The reasons for the loss of melt of multisilica material, the occurrence of defects in the formed products and the directions of their processing in own production are considered. The use of in-house produced waste materials (petrified melt spills of SiO2 and AL2O3, waste, rejects of refractory plates MKRG and SPGT, etc.) with a mass fraction of up to 30 % in the charge for the production of this material is substantiated. A technology and a set of equipment have been developed to prepare the return for use as part of the charge.
Role of phosphodiesterase-3 inhibitor in cardiorespiratory fitness and functional class of patients with pulmonary hypertension: A randomized, double-blind, placebo-controlled trial
Authors: Sofia Sefri N. , Bahrudin Udin , Uddin Ilham , Sobirin Muhammad A. , Setiawati Erna , Hardiningsih Galuh , Tjandra Kevin C. , Limijadi Edward KS.
Published: January 2025

Many patients with acyanotic shunt congenital heart disease (CHD) are diagnosed only in adulthood, by which time pulmonary hypertension (PH) has developed, impairing their functional class and cardiorespiratory fitness. While PH treatments are limited and expensive, cilostazol, a phosphodiesterase-3 inhibitor, has shown potential in reducing pulmonary artery pressure and improving heart function, offering hope for better patient outcomes. The aim of this study was to evaluate the effects of cilostazol on cardiorespiratory fitness and functional class in patients with acyanotic shunt CHD with PH using a randomized, double-blind, placebo-controlled trial. The trial was conducted at Dr. Kariadi Hospital, Semarang, Indonesia, from March 2022 to March 2023. Patients aged 14–75 years were randomly assigned to receive cilostazol (initially 200 mg, later adjusted to 100 mg) or placebo for three months. Cardiorespiratory fitness was assessed using the six-minute walk test (6MWT) and VO2 max at pre-intervention and three months post-intervention. After three months, the mean 6MWT was not significantly different between cilostazol and placebo groups (319.65±50.52 vs 317.65±45.26 meters; p=0.090). Similarly, the VO2 max was also not significantly different between cilostazol and placebo groups (10.74±2.59 mL/kg/min vs 10.73±2.8 mL/kg; p=0.099). However, the percentage of patients who had functional class improvement was significantly higher in the cilostazol group compared to the placebo group (90% vs 30%; p<0.001). This study indicated that cilostazol could improve functional class in acyanotic shunt CHD patients with PH. However, larger and more robust trials are warranted to confirm the potential benefits of cilostazol in this patient population.
DNA methylation profiles for breast cancer subtype classifications: A translational study from microarray to methylation-specific PCR (MSP)
Authors: Panigoro Sonar S. , Paramita Rafika I. , Wanandi Septelia I. , Fadilah Fadilah , Wibisana I GNG. , Sutandyo Noorwati
Published: January 2025

Breast cancer subtypes can be categorized based on their gene expression profiles using immunohistochemistry into Luminal A, Luminal B, human epidermal growth factor receptor 2-positive (HER2+), and triple-negative breast cancer (TNBC) subtypes. However, immunohistochemistry has certain limitations that can lead to misclassification. DNA methylation is an epigenetic modification, and changes in the promoter region can alter gene expression and the quantity of functional protein synthesized, disrupting gene function. The aim of this study was to identify DNA methylation biomarkers for subtype classification in breast cancer using microarray and methylation-specific polymerase chain reaction (MSP) methods. DNA samples were extracted, subjected to bisulfite conversion and then used for both the microarray and MSP methods. This study successfully identified differentially methylated CpGs (DMCs) as biomarker for each subtype classification of breast cancer: Luminal A (hypermethylation of ADAMTSL2 gene; cg14397888), Luminal B (hypomethylation of ADAMTSL2 gene; cg14397888), HER2+ (hypermethylation of PTPRN2 gene; cg25910261), and TNBC (hypomethylation of LCLAT1 gene; cg15652532). The DMC biomarker found for the HER2+ subtype, hypermethylation in the PTPRN2 gene (cg25910261), has the potential to be used by healthcare providers to identify HER2+ patients and provide the HER2-targeted therapy to improve the patient’s survival. In addition, our developed MSP method could produce an effective diagnostic tool for classifying the Luminal A and Luminal B subtypes, with accuracies of 75% and 76%, respectively.
Political Leanings and Redistribution Preferences: Analyzing Social Protection Programs in Poland Using Conjoint Survey Experiment
Authors: Kantorowicz Jaroslaw , Moszoro Marian
Published: January 2025

Związek między preferencjami dot. programów społecznych a ideologiami politycznymi stał się kluczowym obszarem we współczesnej
debacie na temat reformy opieki społecznej i polityki społecznej. Przy użyciu eksperymentu conjoint dotyczącego najszerszego
w Polsce programu ochrony socjalnej w zakresie zasiłków na dzieci, badamy, w jakim stopniu preferencje dotyczące adekwatności
i efektywności programy i stabilności fiskalnej różnią się w zależności od poglądów politycznych. Na postawie wyników stwierdzamy,
że w Polsce konserwatywni wyborcy opowiadają się za wyższą adekwatnością wydatków socjalnych, podczas gdy postępowi wyborcy
wolą bardziej wydajne i zrównoważone fiskalnie wydatki socjalne. Postępowi wyborcy sprzeciwiają się krajowej dyskryminacji
w zakresie świadczeń socjalnych, podczas gdy konserwatywni wyborcy są obojętni na krajową dyskryminację. Artykuł dostarcza
cennych spostrzeżeń na temat polskich preferencji dotyczących programów ochrony socjalnej i ilustruje, w jaki sposób ideologie
polityczne są powiązane z poparciem społecznym dla polityki socjalnej.
Optimizing inventory management in food processing: A conceptual model linking supply chain costs and complexity to sales, quality, and customer satisfaction
Authors: Bagum Mst. Nasima , Paul Poritosh Kumer , Rashed Choudhury Abul Anam , Kibria Md. Mehedi Hasan , Chowdhury Rafid Ahmed
Published: January 2025

In food processing factories, especially when dealing with perishable items, managing inventory is crucial as it impacts sales, quality, and customer satisfaction. However, inventory management is often complicated by the costs and intricacies of the supply chain. This research aims to create a conceptual model that connects the costs and complexities of the supply chain with satisfaction, sales, and quality through optimized inventory management. The study involves a case analysis of thirteen food processing factories, using a structured questionnaire for data collection. To validate the proposed framework, PLS-SEM was employed. The framework addressed five key research questions, and the results confirmed that inventory management is essential for maintaining quality, sales, and satisfaction, and that supply chain costs and complexity influence inventory management.
Research on the Cultivation of High School Students' Social Security Prevention Ability Based on Big Data Analysis
Authors: Yuan Yuan
Published: January 2025

Introduction: The level of English directly affects the level of technology introduction in industry and manufacturing. With the rapid development of global economy, there is an urgent need for a large number of interdisciplinary talents who are familiar with the professional knowledge of business field and have strong English communicative ability. This brings unprecedented challenges to business English teaching.
Objectives: This paper attempts to investigate and analyze the needs of English Majors for the cultivation of business English intercultural communicative competence, so as to provide a reference for the cultivation of students' intercultural communicative competence.
Methods: The theory of intercultural communicative competence has been introduced more and more, and business English teaching has begun to pay attention to the cultivation of students' intercultural communicative competence. For a long time, the neglect of students' comprehensive needs makes it difficult for teachers to choose the right method and grasp the right direction to cultivate students' cross-cultural communication ability. This paper collects and analyzes the data, and sorts out and analyzes the collected data and information one by one. By means of tables and charts, this paper analyzes the current needs of students for the cultivation of intercultural communication ability in schools.
Results: Through the analysis of the questionnaire and interview data, combined with the actual situation of colleges and universities, this paper puts forward some opinions and suggestions on cultivating students' intercultural communication ability from the perspective of students' needs.
Conclusions: The cultivation of intercultural communicative competence is an important goal of College English teaching reform. It is necessary to integrate English language, Chinese and foreign culture and multi-disciplinary knowledge into College English teaching, so as to improve the level of College English teaching. To meet the needs of China's social development and international exchanges, it is necessary to cultivate international talents with international vision, understanding of international exchanges and cross-cultural communication skills.
Research on the Weight Model of Employment Key Factors Based on the Integration of Computer Analysis and Data Security
Authors: RuoMeng Li
Published: January 2025

Introduction: The "talent shortage" of small and medium-sized environmental protection enterprises and the "employment difficulty" of college students are current practical problems. The salary level of environmental protection enterprises is generally low, and the working environment is not good enough.
Objectives: This is a major problem that currently restricts college students from finding employment in environmental protection enterprises. Based on analytic hierarchy process (AHP) and questionnaire survey, this paper studies the influencing factors of college students' employment in environmental protection enterprises.
Methods: In this paper, 10 kinds of influence factors are extracted by data fusion, and their weights are calculated by cluster analysis. Finally, some suggestions are put forward to guide college students to take up employment education in environmental protection enterprises.
Results: The research results show that this method can effectively improve the educational effect of guiding college students to environmental protection enterprises for employment under the background of green ecological environment.
Conclusions: With the changes of the internal and external environment of higher education, the changes of the tasks and objects of higher education have put forward new requirements for employment education in colleges and universities.
Research on Library Knowledge Management System Based on Computer Data Information Security
Authors: Yunhui Zhang
Published: January 2025

In order to improve the effect of library knowledge management, this paper combines data mining technology to conduct library knowledge management data mining, and constructs a library knowledge management performance evaluation system. Moreover, this paper proposes a subspace clustering algorithm based on spectral clustering for sparse sample self-expression. In the performance evaluation of library knowledge management, this paper uses subspace clustering to cluster high-dimensional data, and maintains the essential connection of sample points to achieve better clustering effect. In addition, on the basis of applying knowledge management and data mining technology, this paper proposes the process of library knowledge management system based on data mining according to the actual work requirements of the library. Through the experimental research, it can be seen that the performance evaluation method of library knowledge management based on data mining proposed in this paper can effectively improve the efficiency of library management.
Analysis of English Oral Speech Information Based on Intelligent Algorithms
Authors: Xiangyu Guo
Published: January 2025

In order to improve the intelligent evaluation effect of spoken English, this paper analyzes the traditional spoken English test algorithm, and proposes an improved spoken English scoring algorithm based on the needs of intelligent English evaluation.Moreover, this paper proposes a framework of multi-index fusion pronunciation quality evaluation technology for reading questions, and constructs a functional module for English oral proficiency evaluation based on the needs of speech feature recognition. At the same time, this paper uses deep learning-based speech recognition technology to automatically recognize the tester’s pronunciation, and uses the dual-threshold endpoint detection method of short-term energy and short-term average zero-crossing rate to divide the pronunciation of the speech sentence into syllables.In addition, this paper recognizes speech features by inputting the candidates’ voice, and compares the recognition features with the standard database to score it. Finally, this paper analyzes the system performance by means of experimental research. The research results show that the system constructed in this paper has a certain effect.
Design of Information Security Evaluation Model in English Teaching under Embedded Network
Authors: Jun Liu
Published: January 2025

This article thoroughly and comprehensively explores the innovative application of embedded neural network technology in the multimedia teaching mode of universities for automatic scoring and feedback design in English teaching. Based on this, a scoring feedback generation system that can be seamlessly integrated into the actual teaching process is carefully designed. A major breakthrough of this system is that it creatively integrates the mature technology of the validated English composition automatic scoring system with the most advanced speech recognition engine, jointly constructing a multifunctional intelligent scoring model with embedded neural network as the core. This model is specifically designed for open-ended oral problems, aiming to provide an efficient and accurate automatic scoring solution.
Construction of English Oral Information Security System Based on Reinforcement Learning Algorithm
Authors: Xiaodan Chang
Published: January 2025

English oral teaching is one of the important ways to improve English oral ability. Traditional English oral teaching often overlooks the needs of learners for oral learning, adopts a single and unified teaching method, emphasizes theory over practice, and cannot effectively improve learners' oral ability. This article constructs an English oral teaching system based on reinforcement learning, and combines deep learning to construct an oral evaluation module and improve the reward mechanism on the basis of recognizing English oral communication. The experimental results show that the system model proposed in this paper has better oral recognition and evaluation performance, is more in line with practical situations, has higher accuracy, and stronger stability. It can effectively adjust reward situations and stimulate learners' learning motivation based on their status. The application experiment results show that the system in this article can significantly improve the oral performance of learners within the same teaching time, and provide feedback to learners on the existing oral problems from multiple perspectives. Most learners indicate that the system can propose targeted learning strategies, enhance their enthusiasm for oral learning through reward mechanisms, and improve learning efficiency and quality.
Integrating Artificial Intelligence and Maqāṣid al-Syarī‘ah: Revolutionizing Indonesia’s Sharia Online Trading System
Authors: Mukhlis Lubis
Published: January 2025

This study explores the integration of maqāṣid al-syarī‘ah principles with Artificial Intelligence (AI) in developing a Sharia Online Trading System (SOTS) for Indonesia's Islamic capital market. By focusing on key principles such as justice (al-‘adalah) and public benefit (al-maṣlahah), this research employs a phenomenological approach to analyze the subjective experiences of market participants. Findings reveal that an AI-based system using prompt engineering can enhance transparency, efficiency, and compliance in sharia transactions. The system provides real-time notifications to investors, helping them understand the ethical and legal aspects of their transactions. This research contributes to bridging the gap between Islamic ethical frameworks and modern technological advancements, paving the way for a more inclusive and sustainable Islamic financial ecosystem. Future research could expand on implementation evaluation, global comparisons, and further algorithmic development to deepen the impact of AI in Islamic financial markets.
Analysis of Subway Fault Data Based on Improved Apriori Algorithm
Authors: Shanshan He, Jingjiao Chen
Published: January 2025

The subway is a high-capacity, fast and punctual urban rail transit that usually operates underground or on elevated tracks. It has the characteristics of large capacity, fast speed, high punctuality, good safety, environmental protection and energy conservation. However, some malfunctions may occur during the operation process. However, there is currently no good solution to the problem of undefined subway fault data and diverse fault types. This article improves the Apriori algorithm and compares it with the FP Growth algorithm. Python is used to simulate fault scenarios, and the association rules between fault data are obtained through the improved algorithm. Through performance comparison, it can be concluded that the improved Apriori algorithm can provide a good reference for subway fault analysis.
Computer-Aided Analysis of Urban Block Spatial Morphology: Security Challenges and Solutions in PM Pollution Modeling
Authors: Peng He
Published: January 2025

The correlation between spatial form and PM pollution has been extensively studied at the street-canyon scale. In fact, the spatial form of urban neighborhoods, seen as individual units, collectively creates a street-canyon scale space, which also has a certain correlation with the distribution and diffusion efficiency of PM. The application of digital technology in engineering design enables simulation and analysis of correlations for more environmentally sustainable designs. Based on CFD, this article establishes models at the street-canyon scale and when there are overpasses to analyze the distribution and diffusion efficiency of PM under different forms. The research results demonstrate that changes in the form of the street-canyon can alter the distribution of airflow and turbulence, thereby influencing the distribution and diffusion efficiency of PM. The more streamlined the street-canyon form, the smaller the corresponding PM ground concentration and the higher the diffusion efficiency. Additionally, overpasses also affect the distribution and diffusion of particulate pollutants. The higher the height and narrower the bridge deck of the overpass, the smaller the corresponding PM ground concentration and the higher the diffusion efficiency. In summary, the findings of this study provide valuable insights for street-canyon design.
Improved Artificial Hummingbird Algorithm for Solving Energy-Efficient Scheduling Problem of Distributed Hybrid Flow Shop
Authors: Ziqang Qiu
Published: January 2025

To tackle the challenges of time efficiency and energy consumption in the context of production diversification and green manufacturing, GDMOAHA was developed to minimize the makespan and total energy consumption. First, a problem-specific heuristic, NEH-SE, was designed to improve the initial population's diversity and quality. In addition, the golden sine strategy has been implemented to achieve a good balance between exploration and exploitation. Third, the inclusion of the Cauchy variation enhances the algorithm's ability to find optimal values. Compared with other algorithms, GDMOAHA outperforms other algorithms in terms of convergence and diversity. Therefore, it can solve the problem well.
Enhancing Digital Security of College Teachers Empowered by Digital Technology
Authors: Fang Liu
Published: January 2025

The rapid development of digital technology has promoted the transformation of college education and teaching, and put forward higher requirements for the digital security of college teachers, who are the key resources of education. College teachers should make full use of digital technology knowledge and application skills, change data attitude, enhance data awareness, enrich data knowledge and strengthen data skills in the daily education and teaching process. Through systematic training, optimization of infrastructure, promotion of resource sharing and construction of data cloud platform, effective application of digital technology, improving teaching quality and scientific research efficiency, can adapt to the development and change of education in the digital age.
Automotive Styling Design Optimisation Based on Elliptic Fourier and Response-NSGA-II
Authors: Zhe Luo
Published: January 2025

In order to solve the problem of how to establish the mapping relationship between the optimisation objectives and design parameters in automotive styling design optimisation and the optimal solution selection of Pareto solution set, an optimisation model combining elliptic Fourier descriptor, response surface analysis and NSGA-II algorithm is proposed. Firstly, the model uses the TF-IDF algorithm to extract consumers' affective preferences for car styling design, employs elliptic Fourier descriptors to quantify car styling, and reduces dimensionality through principal component analysis techniques. Secondly, response surface analysis is used to establish the fitness function between the optimisation objective and principal components, which is applied to the NSGA-II algorithm for multi-objective optimisation to generate the Pareto solution set. Finally, response surface analysis is used again to obtain the inter-correlation between the optimisation objectives to determine the optimal emotional preference combinations, and the unique optimal solution is filtered from the Pareto solution set based on the emotional preference combinations. The method is validated by its application in the optimisation of automotive styling design, successfully overcoming the plague of multiple covariance of the least-squares method in non-linear problems, and providing a clear criterion for the NSGA-II algorithm to select the optimal solution, which ensures the uniqueness and superiority of the optimisation results.
Cybersecurity in IoT-Based Smart Grids: A Comprehensive Survey
Authors: Manjusha Tatiya
Published: January 2025

This comprehensive survey explores the critical role of cybersecurity in IoT-based smart grids, which integrate advanced technologies for enhanced energy management and efficiency. As these systems become increasingly interconnected, they are exposed to various cybersecurity threats, including malware, denial of service attacks, and data breaches. This paper examines the existing frameworks and standards for cybersecurity in smart grids, highlighting their strengths and limitations. We also discuss emerging technologies such as blockchain, machine learning, and secure communication protocols that offer innovative solutions for safeguarding these infrastructures. Through a systematic literature review and case study analysis, this survey identifies key challenges and future research directions, emphasizing the necessity of robust cybersecurity measures to ensure the reliability and security of smart grid systems.