bluuebunny/crossref_metadata_2025 huggingface dataset:
Pendampingan Recyle Limbah Pengolahan Kayu Pada UMKM “Kayu Kreatif”, Kecamatan Setu Kabupaten Bekasi
Authors: Untari Dhian Tyas , Khasanah Fata Nidaul , Anjani Allisya Andrea , Putri Amelia
Published: August 2024

A small industry has a close relationship with the existence of human resources as the driving force of the small industry itself. SME "Kayu Kreatif" is engaged in wood processing which so far has only been limited to door and window frame products. The rest of the wood that is not used is finally just wasted without being used. Aspects of problems with partners related to production aspects and aspects of logo and brand management. The problems and solutions that will be raised are: 1). Wood waste has not been utilized which then only becomes waste and causes further problems so that the solution that will be given is assistance in making cellphone holder craft products with wood waste materials and 2). Products that have been made need to be branded and patented so that in marketing they will have a strong product. The solution that will be given is to create a logo and brand to prepare the product to be marketed.
Peran Generasi Muda Sebagai Wujud Partisipasi Dan Kesadaran Masyarakat Dalam Pemilihan Umum 2024
Authors: Maharani Nabila , Mandira I Made Chandra
Published: August 2024

The focus of this study is the participation of people in politics in the elections in the village of petiman petilan city of denpasar in 2024. It is important to investigate participation, as election success can be measured at the level of civic participation. Researchers use the research method of socialization. The study focuses on how people's political participation in the denpasar city legislature elections from 2024 to 2029. Friedmen and hechter feel that social institutions influence political participation. Research indicates that village heads, legislative candidate, PPS, and religious figures are social institutions that contribute to increased political participation of the community. Third, people's involvement and political perceptions are affected by the emotional closeness of the pileg and election candidates. Fourth, the rationality of society is central to political participation.
Pembingkaian Berita Dukungan PDIP Pada Sistem Pemilu Proporsional Tertutup Pada Media Massa Online
Authors: Malaka Teddy , Maharani Astrid Brenda
Published: August 2024

During the 2024 General Election, the Open Proportional Election system was challenged in the Constitutional Court by a number of politicians. When the judicial review took place, PDI Perjuangan, as the winning political party in the 2019 elections, expressed support for the Closed Proportional Election System. This support was conveyed through a number of news reports in the mass media. In this qualitative research, the framing carried out by Kompas.com reveals the reasons Why PDI Perjuangan supports a closed proportional system as well as the advantages of a closed proportional system and the rejection of a closed proportional election system is considered a form of defense of democracy. While mediaindonesia.com emphasizes the majority of rejection of the closed proportional electoral system, showing that this rejection is considered a common thing that then results in an agreement to reject the Closed Proportional Election system as a form of exemplary democracy. This research shows that media conglomeration affects the determination of news sources.
Pengawasan Pengelolaan Keuangan Desa (Optimalisasi Peran BPD dan Masyarakat Dalam Mengawasi Pengelolaan Dana Desa Sekarwangi Kecamatan Cibadak Kabupaten Sukabumi)
Authors: Safaat Birkham Pahmi , Hidayat Manarul , Azzahra Salsabila Putri , Yahya Ananda Intan Fadhilah , Hidayatullah Akmal , Nurfath Al Fachri , Ramadhanty Denisa , Nurcahyani Lala Intan , Armeita Ade , Hafidzi Muhammad Kamil , Wahyudianto Raafi Catur , Wibowo Daffa Satrio , Dermawan Alif Fito , Malau Aulia Rohman , Alfianti Fifi Nur , Anggraini Vella Dwi , Sitorus Betris Kristin  Sosor Ambar Wati , Rudiansah Bambang , Estiawan Belva Yulivio , Azhar Satrio Waliyudin , Syihab Firiyal Luthfi , Salsabila Annisa Septi Rahayu , Yusuf Fauzi Maulana , Riandini Anyeu , Nurahim Yudi , Wardhana Fajar Wira , Nada Ahmad , Efrianto Gatot , Arfian Arfian , Utama Adi , Irianto Heru , Pramukty Rachmat , Wandy Yusef
Published: August 2024

This research is motivated by the importance of supervising the use of village fund budgets, considering that there are many legal problems related to village funds involving village officials and village heads in Indonesia. Through the stages of supervision, namely monitoring, examination and evaluation and using qualitative descriptive research methods, it intends to describe the supervisory process carried out by the community in participating in supervising village funds. The result of this study is that the role of the community in participating in village fund supervision has not been optimal both from the dimensions of monitoring, examination and evaluation so it is suggested that there is a need for education or advocacy of community participation in supervising the process of using the budget and monitoring the results of village performance using village funds.
Rasa Percaya Mahasiswa Pada Polisi (Studi Eksperimen Pada Tweet Dengan tagar #1Hari1Oknum)
Authors: Juniarti Gita , Putri Citra Fransisca Lestari Dano , Talani Noval Sufriyanto
Published: August 2024

The aims of this study to conduct experimental study on student’ at Department of Communication Science, State University of Gorontalo regarding information that relate to police. Police have negative image in society’ perspective, especially on Generation Z. On Twitter, netizen criticize police with hashtag #1hari1oknum. The hashtag shows news from several mass media about the nasty and cruel behavior from several police. In addition, the hashtag also an attempt by public to criticize the police on Twitter. The police institution also created Twitter account, @divhumas_polri to improve their image. This research analyzes the management of information of students who given information from @divhumas_polri account and news with the hashtag #1hari1oknum. This research used positivistic paradigm, quantitative approach, and questionnaire distribution. The amount of population was 120 students, who were divided into experimental and control groups. Furthermore, 60 students were further divided into three groups base on their academic years, 2021, 2020, and 2019. The results of this study showed that students did not have high trust towards police, especially students from experimental group who received treatment to read news with hashtag #1hari1oknum. The findings also show that students manage information through central route. They are considered critical in responding to information. As generation Z who depend on gadgets, students do not believe new information from @divhumas_polri and news with hashtag #1hari1oknum immediately. Students need supporting information from other sources, find out the information about account that spreads information, and pay attention to hashtags that used.
Analisis Faktor-Faktor Penyebab Peningkatan Kemampuan Merancang Percobaan Calon Guru pada Materi Fisiologi Tumbuhan
Authors: Hadistia Nabilla , Surakusumah Wahyu , Sanjaya Yayan
Published: August 2024

Kurikulum pendidikan di Indonesia sudah menspesifikasikan capaian pembelajaran yang harus dicapai siswa, salah satunya keterampilan merancang percobaan. Calon guru perlu memiliki keterampilan tersebut sebelum mentransfer kepada siswa di kemudian hari. Penelitian ini berfokus pada menganalisis faktor-faktor penyebab apa saja yang dapat meningkatkan kemampuan merancang percobaan calon guru pada materi fisiologi tumbuhan. Metode yang digunakan adalah eksperimen dengan mengukur kompetensi mahasiswa serta ditambah dengan pengisian kuisioner terkait pendapat calon guru tentang modul praktikum yang didapat dan bagaimana persepsi mahasiswa terhadap perkuliahan (teori dan praktikum) pada materi fisiologi tumbuhan menggunakan skala Likert 1-5. Data dianalisis menggunakan persamaan model struktural (SEM) dari mulai spesifikasi model, uji estimasi parameter, uji validitas konvergen dan diskriminan serta reliabilitas, hubungan pengaruh langsung dan tudak langsung antar variabel, hingga respesifikasi model. Hasil menunjukkan bahwa terdapat pengaruh langsung antara kompetensi mahasiswa terhadap keterampilan merancang percobaan (p value 0.004), dan pengaruh modul praktikum terhadap keterampilan merancang percobaan (p value 0.009), Selain itu, hasil analisis menunjukkan bahwa modul praktikum tidak berpengaruh langsung terhadap keterampilan merancang percobaan jika hanya melalui kompetensi mahasiswa. Namun, modul praktikum berpengaruh tidak langsung terhadap keterampilan merancang percobaan melalui persepsi mahasiswa dan kompetensi yang dimilikinya.
Immigration, Integration, and Belonging in German Textbooks for Refugees
Authors: James Jason
Published: August 2024

Since 2005 most immigrants to Germany have been required to complete integration courses that include language instruction and a concluding orientation course on German history, the political system, and society. The state-approved textbooks for the orientation course are an instructive instance of state-sanctioned discourse about national belonging, immigration, and integration. This article applies a critical perspective to four such textbooks guided by the following questions: How are Germanness and national belonging portrayed? What understandings of immigration and immigrants, cultural differences, and integration do these texts present, and how do these compare to official, academic, and popular understandings?
Sources of the Upper Proterozoic Terrigenous Deposits in the Northwestern Part of the Argun Massif, Central Asian Fold Belt: Results of U–Th–Pb Geochronological and Sm–Nd Isotopic-Geochemical Studies
Authors: Smirnova Yu. N. , Kurilenko A. V. , Dril S. I. , Khubanov V. B.
Published: August 2024

The publication presents the results of geochemical, isotopic-geochemical (Sm–Nd) and isotopic-geochronological (U–Th–Pb) studies of terrigenous rocks of the Middle Riphean (?) Nadarov formation and the Upper Riphean (?) Nortui formation of the northwestern part of the Argun continental massif. Features of the material composition of the deposits indicate the presence of formations of various silicia acidity in the source area. According to Sm–Nd data, sedimentary rocks of the Nadarov and Nortui formations are characterized by negative values åNd(t) = –6.6…–3.5 at Early Proterozoic values of Nd model age (tNd(DM) = 2.0–1.8 Ga). According to U–Th–Pb dating of grains of detrital zircon, it was defined that the lower age limit of accumulation of terrigenous deposits of the Nadarov and Nortui formations falls at the Late Riphean (~775 and ~ 744 Ma, respectively). The main provenances area for them were Late Riphean igneous rocks with the participation of Early Proterozoic rocks, extended in the structure of the Argun massif.
DIGITALISASI PEMBELAJARAN KURIKULUM MERDEKA MELALUI PELATIHAN PEMANFAATAN MEDIA PEMBELAJARAN INTERAKTIF PADA PEMBELAJARAN IPA DI SMP
Authors: Eka Tuah Yayan Adrianova , Ege Benediktus , Bustami Yakobus , Huda Fatkhan Amirul , Anyan Anyan
Published: August 2024

Salah satu cara peningkatan kualitas pembelajaran di kelas yaitu meningkatkan kompetensi guru. salah satu kompetensi guru yang pelu ditingkatkan berkaitan dengan pembelajaran di kelas yaitu menciptakan pembelajaran menggunakan media pembelajaran yang kreatif dan inovatif. Kurangnya kemampuan Guru SMP di Kecamatan Semitau Kapuas Hulu dalam menggunakan media pembelajaran, membuat guru perlu dibekali dengan pengetahuan dan keterampilan dalam membuat media pembelajaran IPA. Kegiatan dilaksanakan selama satu hari dengan memberikan pelatihan dan pendampingan dalam membuat media pembelajaran interaktif berbasis HTML 5 dengan Articulate Storyline, pelatihan diikuti oleh 25 orang guru dari dua sekolah yang ada di kecamatan Semitau, Kabupaten Kapuas Hulu, yakni SMPN 1 Semitau dan SMPN 2 Semitau, kegiatan di laksanakan di laboratorium komputer SMPN 1 Semitau. Hasil pengabdian didapatkan skor rata-rata prates peserta adalah 60,68 dan postest sebesar 90,54 dari hasil tersebut guru dapat disimpulkan bahwa guru dapat menhgikuti dan memahami tentang materi yang di dampaikan narasumber. Diharapkan hasil yang didapatkan dari kegiatan pengabdian masyarakat ini yaitu guru – guru SMP dapat mengembangkan media pembelajaran interaktif yang dapat dipakai pada pembelajaran di kelas.
Współczesne wyzwania wobec prawa do sprzeciwu sumienia
Authors: Moravčíková Michaela
Published: August 2024

Celem artykułu jest analiza wybranych współczesnych wyzwań związanych z prawem do sprzeciwu sumienia. Nie ma on na celu wyczerpującego wymienienia wszystkich aktualnych kwestii związanych z problemem sprzeciwu sumienia, ale podkreślenie znaczenia badania tej kwestii w kontekście rozwoju w obszarach, które dotykają natury ludzkiego życia, podstawowych wartości, ludzkiej godności, moralności i sprawiedliwości. Podkreśla potrzebę refleksji nad znaczącymi osiągnięciami naukowymi i rozwojem technologicznym, które ze względu na swój charakter i ukierunkowanie stają się przedmiotem korzystania z prawa do sprzeciwu sumienia. O ile kwestia możliwości skorzystania ze sprzeciwu sumienia początkowo koncentrowała się na dialektyce prawa naturalnego i pozytywnego, to później została zredukowana do odmowy służby wojskowej z bronią w ręku. Dziś jest to ponownie szeroki zakres, który może również obejmować zagadnienia medycyny, biotechnologii, opieki zdrowotnej, pedagogiki, informatyki i innych sektorów życia społecznego. Równocześnie z rozwojem nauk, których rezultatom towarzyszyć będą kwestie wartości, coraz większe wymagania stawiane będą tworzeniu odpowiednich ram prawnych. Jednocześnie analiza i synteza w dziedzinie sprzeciwu sumienia jest służbą na rzecz osoby ludzkiej, godności człowieka oraz wolności sumienia i wyznania, co jest nieodwołalnym obowiązkiem nauki prawa. Jest to również służba na rzecz dobra społecznego, pojednania i współpracy.
Leistungsbeurteilungen an Hochschulen lernförderlich gestalten
Authors: Zimmermann Tobias
Published: August 2024

Wie können Hochschullehrende Leistungsnachweise sowie die Beurteilung und Rückmeldung von Lernleistungen möglichst lernförderlich gestalten? Das Buch bietet anwendungsorientierte Hinweise zur Gestaltung, Beurteilung und Rückmeldung von Prüfungen und vielen weiteren Formaten von Leistungsnachweisen. Zudem thematisiert es lernpsychologische Grundlagen, deren Kenntnis für eine wirkungsvolle und valide Beurteilungspraxis wertvoll ist.
Societal Costs of Dementia: 204 Countries, 2000–2019
Authors: Lastuka Amy , Bliss Elye , Breshock Michael R. , Iannucci Vincent C. , Sogge William , Taylor Kayla V. , Pedroza Paola , Dieleman Joseph L.
Published: August 2024

Background:

Dementia prevalence is expected to increase as populations grow and age. Therefore, additional resources will be needed to meet the global demand for care for Alzheimer’s disease and related dementias (ADRD).

Objective:

Estimate global and country-level health care spending attributable to ADRD and the cost of informal care for people living with ADRD.

Methods:

We gathered data from three systematic literature reviews and the Global Burden of Disease 2019 study. We used spatiotemporal Gaussian process regression to impute estimates for the many countries without underlying data. We projected future costs to 2050 based on past trends in costs, diagnosis rates, and institutionalization rate.

Results:

We estimated that in 2019, the direct health care spending attributable to ADRD across 204 countries reached $260.6 billion (95% uncertainty interval [UI] 131.6–420.4) and the cost of informal ADRD care was $354.1 billion (95% UI 190.0–544.1). On average, informal care represents 57% (95% UI 38–75%) of the total cost of care. We estimated that direct health care spending attributable to ADRD will reach $1.6 trillion (95% UI 0.6–3.3) in 2050, or 9.4% (95% UI 3.9–19.6%) of projected health spending worldwide. We estimated the cost of informal care will reach $0.9 trillion (95% UI 0.3–1.7) in 2050.

Conclusions:

These cost estimates underscore the magnitude of resources needed to ensure sufficient resources for people living with ADRD and highlight the role that informal care plays in provision of their care. Incorporating informal care cost estimates is critical to capture the social cost of ADRD.
On the Clinimetrics of the Montreal Cognitive Assessment: Cutoff Analysis in Patients with Mild Cognitive Impairment due to Alzheimer’s Disease
Authors: Ilardi Ciro Rosario , Menichelli Alina , Michelutti Marco , Cattaruzza Tatiana , Federico Giovanni , Salvatore Marco , Iavarone Alessandro , Manganotti Paolo
Published: August 2024

Background:

In the era of disease-modifying therapies, empowering the clinical neuropsychologist’s toolkit for timely identification of mild cognitive impairment (MCI) is crucial.

Objective:

Here we examine the clinimetric properties of the Montreal Cognitive Assessment (MoCA) for the early diagnosis of MCI due to Alzheimer’s disease (MCI-AD).

Methods:

Data from 48 patients with MCI-AD and 47 healthy controls were retrospectively analyzed. Raw MoCA scores were corrected according to the conventional Nasreddine’s 1-point correction and demographic adjustments derived from three normative studies. Optimal cutoffs were determined while previously established cutoffs were diagnostically reevaluated.

Results:

The original Nasreddine’s cutoff of 26 and normative cutoffs (non-parametric outer tolerance limit on the 5th percentile of demographically-adjusted score distributions) were overly imbalanced in terms of Sensitivity (Se) and Specificity (Sp). The optimal cutoff for Nasreddine’s adjustment showed adequate clinimetric properties (≤23.50, Se = 0.75, Sp = 0.70). However, the optimal cutoff for Santangelo’s adjustment (≤22.85, Se = 0.65, Sp = 0.87) proved to be the most effective for both screening and diagnostic purposes according to Larner’s metrics. The results of post-probability analyses revealed that an individual testing positive using Santangelo’s adjustment combined with a cutoff of 22.85 would have 84% post-test probability of receiving a diagnosis of MCI-AD (LR+ = 5.06).

Conclusions:

We found a common (mal)practice of bypassing the applicability of normative cutoffs in diagnosis-oriented clinical practice. In this study, we identified optimal cutoffs for MoCA to be allocated in secondary care settings for supporting MCI-AD diagnosis. Methodological and psychometric issues are discussed.
Prospects for the database development in electrical engineering materials
Authors: Sheng Peng , Li Shengyi , Xu Li , Wang Bo , Bai Huitao , Li Hui , Xue Qing
Published: August 2024

With the proposal and development of the Material Genome Engineering program, artificial intelligence has played a significant role in accelerating the research and development of new materials. In the field of electrical engineering materials, high-throughput experimental and computational methods provide a huge amount of data. It also poses new challenges to how to manage material data scientifically and efficiently. Database technology has become a hot topic for material scientists and engineers. This paper makes a comprehensive overview of the development, demand analysis and application of database technology in the electrical engineering materials, and discusses the existing problems and the future development trend of the database. Compared with many materials, such as energy materials, catalytic materials, biomedical materials, etc., the electrical material database still has a long way to go in the process of database platform construction, management and operation, and practical application. However, driven by governmental support and market demand, the construction of electrical material database will gradually improve and play an important role in the data-driven new materials researches.
Legal text basic element identification based on the BERT model in the judicial field
Authors: Li Xiang
Published: August 2024

In recent years, deep learning technology has developed significantly in the judicial field. More and more scholars are introducing deep learning to solve problems in the judicial field and improve the efficiency of judicial agencies in handling cases. An important task of judicial work is to identify the key elements of complex cases, establish the relationship between entities in the document, accurately grasp the development of the case, provide a basis for the understanding, analysis, and ruling of the case, and increase the interpretability of the case results. However, judging from the actual application situation, the application of deep learning technology in the judicial field is not yet mature and still faces huge challenges. On the one hand, the existing legal text element identification methods only consider the identification of core elements and ignore the basic elements. However, the basic elements contain necessary legal-related information, which is basic case information unique to the legal field and has important reference value for judicial staff to analyze cases. On the other hand, the traditional method of identifying key elements does not consider the contextual semantic relationship and ignores the element semantic information and global semantic information is lost, resulting in poor recognition of key elements of legal text. Therefore, in the identification of key elements of legal texts, not only the core elements and basic elements must be considered, but also the semantic features of sentences and the semantic features of elements must be comprehensively considered, thereby improving the effect of identifying key elements of legal texts and promoting the efficiency of judicial organs in handling cases. Aiming at the problem of identifying the basic elements of legal texts, this paper proposes a model for identifying the basic elements of legal texts based on dynamic representation. This algorithm uses the dynamic representation capability of the BERT model to vectorize text and considers global domain semantic information during the pre-training process to achieve a more comprehensive vector representation. Secondly, the memory component of the bidirectional long short-term memory network is used to integrate all the feature information between long-distance words in the legal text, effectively express the meaning of the word in the context, and realize the recognition of the basic elements of the legal text. In addition, the conditional random field model is used to learn the transfer rules of labels between entities and output the label sequence that best conforms to the actual rules. Finally, the basic element identification model proposed in this article has been significantly improved by comparing it with the current better methods.
Electromagnetic simulation and electromagnetic safety characteristics analysis of implantable medical devices in wireless charging processes
Authors: Che Kai , Yang Peng , Luo Peng , Yu Jinxing , Hou Haiping , Niu Xiangnan , Gong Yunqian , Chen Chongming
Published: August 2024

In recent years, wireless charging technology for electric vehicles has received increasing attention. Existing research has been limited to the safety of specific body parts in the electromagnetic environment of wireless charging for electric vehicles, with insufficient consideration for the overall human body and the electromagnetic safety of implanted medical devices. In order to assess its safety in the electromagnetic environment more comprehensively, a three-dimensional electromagnetic simulation software based on the finite element method is used to construct models of the human body and implanted medical devices in the electromagnetic environment of wireless charging for electric vehicles. The study aims to investigate the impact of this electromagnetic environment on the human body and implanted medical devices. The results indicate that, except for the maximum magnetic induction of 0.47 μT at the ankle, which exceeds the limit, the magnetic induction intensity and electric field strength in important tissue areas, especially the upper trunk of the human body, are both below the safety limits specified by the International Commission on Non-Ionizing Radiation Protection (ICNIRP) guidelines. For implanted cardiac pacemakers, the effective and peak magnetic field strengths are 13.7 A/m and 19.4 A/m, respectively, when the coil input power is 22 kW, meeting the relevant magnetic field strength requirements. The maximum temperature rise of the pacemaker is 3.2 × 10-3∘C, and there are no significant changes in the temperature of the major organs in the human body after the implantation of the pacemaker. The thermal effects of electromagnetic waves on the temperature rise caused by implanted cardiac pacemakers have minimal impact on the human body.
Risk identification and assessment of embedded positioning construction technology of rotary digging pile hole casing based on DEMATEL-ANP
Authors: Zhou Zaohong , Jie Yiting
Published: August 2024

In order to identify the greater risks in the implementation of the new construction technology of ‘Embedded positioning construction technology of rotary digging pile hole casing’. And further explore the construction technical risk factors and the relationship between them. On the basis of the existing research and related standards, this paper uses the work decomposition method (WBS-RBS) to construct the construction technical safety risk index system from four dimensions: natural environment, material and equipment, construction quality and working personnel. And use the decision laboratory method (DEMATEL) to establish the internal relationship between the risk evaluation indicators, and then use the network analytic hierarchy process (ANP) method to determine the weight of the risk evaluation index, establish a risk assessment model based on DEMATEL-ANP and carry on the example operation. The results show that the burying stability, fixing mode, type, upper position and installation stability of the reamer are the key work to ensure the normal implementation of the technology.
Evaluation and guidance of university network public opinion environment based on fuzzy evaluation method
Authors: Zhang Shunli
Published: August 2024

Under the influence of the Internet and social media, the network public opinion environment in colleges and universities has become a key factor in shaping campus culture and maintaining a harmonious society. The purpose of this study is to build a network public opinion evaluation model suitable for university environment through fuzzy evaluation method, and design an effective network public opinion guidance strategy based on this model. The results show that the fuzzy evaluation method can effectively deal with the uncertainty in the network public opinion environment and improve the accuracy and credibility of the evaluation. The guidance strategy based on the evaluation results is helpful to improve the network public opinion environment and promote its healthy development.
The application of big data analysis in studying expressions in 19th century British novels
Authors: Liu Yuan , Chen Guangwei
Published: August 2024

With the continuous development of big data and machine learning technology, its application in literature research has gradually attracted attention. This study aims to explore how big data analysis techniques can reveal deep themes and emotional trends in 19th century British fiction. Through a comprehensive questionnaire survey, text mining and sentiment analysis, this paper studies and analyzes a large number of text data of 19th century English novels. Preliminary results show that deep neural networks and latent Dirichlet distribution (LDA) models can effectively reveal the theme and emotional changes in literary works. In addition, the analysis also reveals the literary emotional changes in 19th century English society under the background of industrialization, urbanization and other important events. Overall, this study confirms the value of big data technology in literary research and provides new perspectives and methods for future research.
Optimization of Bayesian algorithms for multi-threshold image segmentation
Authors: Tian Qiaoyu , Xu Wen , Xu Jin
Published: August 2024

The Bayesian optimization algorithm uses Bayesian networks as the probability model of its solution space. Although the research on this algorithm has steadily developed, there are still some problems in its application process, such as excessive computational complexity. To solve various problems in Bayesian algorithm, reduce its computational complexity, and enable it to better achieve image segmentation. The study chooses to improve the Bayesian algorithm on the basis of immune algorithm, and solves the problem of computational complexity by reducing the number of Bayesian network construction times, thereby improving the individual fitness of the population. Through simulation experiments, it has been shown that the average number of times the improved Bayesian algorithm reaches the optimal value is 30, which is higher than the traditional algorithm’s 20 times. Its excellent optimization ability searches for the optimal threshold to complete image segmentation. The improved Bayesian optimization algorithm based on immune algorithm can effectively reduce computational complexity, shorten computational time, and improve convergence. And applying Bayesian algorithm to image segmentation has broadened the application field of the algorithm and found new exploration directions for image segmentation.
Construction period and cost optimization for river dredging engineering based on NSGA-II
Authors: Yang Yong
Published: August 2024

To improve the economic benefits of river dredging engineering construction, studies have been undertaken to optimize construction period costs. This study suggests a scheme for optimizing schedule costs through the use of three algorithms: non-dominated sorting genetic algorithm with elite strategy, simulated annealing colony algorithm, and ant colony algorithm. To achieve the preliminary algorithm selection of construction duration cost, the objectives have single and multi-objective, and iterative models are constructed separately. The validation results showed that the simulated annealing algorithm achieved the optimal solution in single objective optimization after the 81st iteration. The optimal solution of genetic algorithm in multi-objective optimization was a construction period of 49 days and a cost of 1788.15 million yuan. The non-dominated algorithm reduced the construction period to 313 days, which can save 52 days of construction period and reduce costs by 52.32 million yuan. This optimization algorithm has high efficiency in predicting shorter construction periods and lower costs, and has strategic foresight in the decision plans of decision-makers.
Predicting stock prices for Chinese performing arts companies using genetic algorithm-based backpropagation neural networks
Authors: Liu Bei , Zhou Danqing , Zhang Yaxuan , Xie Hongyu , Shi Jiayan
Published: August 2024

Due to China’s thriving economy and culture, the performing arts sector has grown remarkably. To study its development, this study has examined the closing prices of performing arts companies. The GA-BPN model was used to analyze the daily closing prices of Funshine Culture (ticker: 300860) and Sanxiang Impression (ticker: 000863) for the predictions of their future daily closing prices. Next, the study compared the predicted prices with the actual closing prices. By comparing four models, namely GA, 7-4-1, 7-4-4-1, and 7-4-4-4-1, the GA-BPN model has a mean square error (MSE) of 2472.580273 and a root mean square error (RMSE) of 49.72504674, which is the smallest value and the smallest error among the four assessment metrics, it was determined that the GA-BPN model yielded the most accurate prediction results, so it was suitable for forecasting stock closing prices.
Construction of e-commerce cloud-based logistics service platform by communication technology
Authors: Chen Xiaoyong , Zong Xuanyi , Yue Haohao
Published: August 2024

This work aims to address the evolving demands of logistics development by proposing an innovative solution: the Intelligent Cloud-based Logistics Service Platform (LSP), which seamlessly integrates Cloud Computing (CC) and the Internet of Things (IoT). The primary objective is to enhance the efficiency and effectiveness of logistics operations through advanced technology integration. Then, short-term logistics Demand Forecasting Model (DFM) and real-time Information Tracking System (ITS) are designed based on the proposed Cloud-based LSP. Specifically, based on Deep Learning, Ensemble Empirical Mode Decomposition (EEMD), and Local Mean Decomposition (LMD), the EEMD-LMD is employed for the logistics DFM. Simultaneously, the proposed real-time logistics ITS is optimized by updating its hardware equipment through the wireless sensor. Then, the Kalman filter is employed for data processing. This work contributes to the ongoing transformation of logistics management, offering practical solutions to meet the dynamic challenges of modern supply chain management.
Refining and implementing of a decision tree based risk assessment model for college students’ innovation and entrepreneurship
Authors: Xu Jin
Published: August 2024

This study introduces a novel risk assessment model for university student innovation and entrepreneurship, grounded in decision tree (DT) methodology. It tackles the challenges faced by traditional models in merging multi-source data and understanding nonlinear relationships. This advanced approach aims to enhance both the precision and reliability of risk evaluations in the context of student-led entrepreneurial ventures. From the four dimensions of entrepreneurial environment, entrepreneurial education, entrepreneurial groups, and entrepreneurs, relevant college student innovation and entrepreneurship data was collected, and the collected data was preprocessed to select the most relevant feature from all available features. The C4.5 algorithm was optimized by cross validation to determine the depth of the number and the minimum sample size of leaf nodes, and a post-pruning strategy was adopted. The optimized C4.5 model was compared with Iterative Dichotomiser 3 (ID3), Classification and Regression Trees (CART), and C4.5 model, and risk assessment was applied to three entrepreneurial plan instances. The experimental findings indicated that the optimized C4.5 model had an average accuracy rate of 90.7% for the risk classification of college students’ innovation and entrepreneurship, and could accurately assess the risk of multiple entrepreneurial conditions in a comprehensive entrepreneurial plan.
A novel service composition algorithm using natural language semantics
Authors: Liu Xiao , Zheng Xinyu
Published: August 2024

Service discovery and composition are crucial tasks in the development of Web services, it is designed to select the appropriate services for each task and ensure that services are called in the correct order. Unlike traditional methods, we aim to solve the service composition problem from a new perspective by developing a novel service composition using semantics based natural language descriptions. The proposed algorithm employs a combination of natural language processing and semantic-based techniques to extract the functional semantics of service datasets and understand the user context. By parsing the user’s request, the method extracts possible sub-queries contained within the request and identifies the appropriate combination of sub-queries. Leveraging the BM25 algorithm and the ESIM semantic matching model, the method identifies atomic services with high correlation with sub-queries and determines the composable atomic services set according to the defined composition constraints. Experimental results validate the efficacy of our method.
Optimization on parameters of knee airbag considering driver’s instinctive response
Authors: Xiong Yingzhi , Li Yi , Li Chuzhao , Zhang Qiang , Gao Zhenhai , Hu Hongyu
Published: August 2024

Instinctive response was produced for protecting drivers from injury when facing incoming collisions. This study investigated the influence of instinctive response on lower extremity and knee airbag parameters. The change of posture, musculoskeletal characteristic and vehicle control parameters resulting from instinctive response were introduced in injury analysis. The key parameters of knee airbag were optimized based on a multi-object optimization algorithm of response surface method and NSGA-II. Results showed that the increased influence of musculoskeletal characteristic happened when the emergency level varied little. Injury in some cases might increase resulting from the early contact between airbag and lower extremity. It decreased in different levels after the optimization of parameters, with maximum 20%. With the increment of emergency level, the best value of ignition time in the air area, mass-velocity ratio in the brake area and all vent hole ratio increased.
Musculoskeletal disorders prediagnosis by infrared thermography in CNC machinery operators: Regression models approaches
Authors: Cázares-Manríquez Melissa Airem , Olguín-Tiznado Jesús Everardo , García-Alcaraz Jorge Luis , Camargo-Wilson Claudia , Cano-Gutierrez Julio Cesar , López-Barreras Juan Andrés , García-Rivera Blanca Rosa
Published: August 2024

BACKGROUND: Musculoskeletal System Disorders (MSDs) are a group of injuries that represent common occupational diseases and should be evaluated for prevention purposes because an increase has been observed due to the repetitive movements performed in the industry. This research was carried out in a manufacturing industry where metal parts are manufactured, and workers experience back and wrist pain. OBJECTIVE: To prediagnose Musculoskeletal System Disorders (MSDs) and examine the relationship between temperature, demographic, and physiological factors in workers through predictive models, contributing to MSD prevention. METHODS: Information from 36 operators was used to obtain vital signs and somatometry data, and thermograms of their hands in the dorsal, palmar, and back areas were collected and analyzed to determine the relationship between temperature and demographic and physiological factors. RESULTS: The ergonomic evaluations proved that the operators were at high risk owing to repetitive movements and postures adopted during work. Eighty-six percent of cases with injuries were identified using infrared thermograms, proving their high level of effectiveness. When studying the relationship between temperature behavior during recovery from repetitive activities and demographic and physiological factors, it was determined that age, dominant hand, respiratory frequency, and BMI were the most significant. CONCLUSIONS: Nine regression models were obtained, with coefficients of determination between 0.17 and 0.71. The significant factors for worker injuries were age, dominant hand, respiratory rate, and BMI. However, the sample size and variability in work activities should be extended to generalize the findings.
IS THIS (TELE)WORKING? A path model analysis of the relationship between telework, job demands and job resources, and sustainable employability
Authors: Beekman Elizabeth M. , Van Hooff Madelon M.L. , Adiasto Krisna , Claessens Brigitte J.C. , Van der Heijden Beatrice I.J.M.
Published: August 2024

BACKGROUND: Technological advancements and the COVID-19 crisis have accelerated the adoption of telework, impacting employees’ work dynamics. Moreover, an aging workforce emphasises the need for sustainable employability. With reference to the Job Demands-Resources (JD-R) Model, this study explores how telework relates to job demands and job resources and, subsequently, to sustainable employability. OBJECTIVE: The present study investigates the repercussions of increased telework on employees’ sustainable employability. Hypotheses posit direct and indirect (i.e., mediated) relationships, providing insights for evidence-based telework policies. METHODS: Data from 552 government employees was collected through an online survey. Data collection occurred during the COVID-19 pandemic when widespread teleworking was prevalent. A path model was employed to analyse associations between telework, job demands (specifically work pressure), job resources (social support, workplace communication, and role clarity), and sustainable employability dimensions, including vitality, work ability, and employability. RESULTS: Our path model reveals that heightened telework was associated with elevated work pressure and diminished role clarity. Surprisingly, a positive association emerges between work pressure and sustainable employability. Notably, no significant relationship is found between telework, social support, and workplace communication. Role clarity is likely to be pivotal, positively influencing vitality and employability. CONCLUSIONS: This study provides valuable insights into the effects of telework on job demands, resources, and sustainable employability. The unexpected positive association between work pressure and sustainable employability challenges conventional stressor paradigms. The relationships between telework, job demands, job resources, and sustainable employability uncovered in this study can contribute to evidence-based teleworking policies and strategies that support employee health and employability amidst evolving work structures.
Evaluating the influence of ambient conditions in the cooking space of railway pantry car using selected thermal indices and physiological parameter
Authors: Alam Md Sarfaraz , Sharma Milap , Jadhav Ganesh
Published: August 2024

BACKGROUND: Hot and humid indoor environment of the kitchen affects worker performance. The Indian Railway’s pantry car culinary is one of them that cooks food for the on-board passengers, which could be bothered by the hot indoor climate. OBJECTIVE: The current study aimed to identify the indoor working environment of the railway “pantry car” using heat stress indices such as “Universal Thermal Climate Index-UTCI,” “Wet-Bulb Globe Temperature-WBGT,” “Discomfort Index-DI,” “Tropical Summer Index-TSI,” “Heat Index-HI,” and Heart Rate-HR with clothing insulation. METHODS: The study was performed in 2018 (August-summer season) to collect field survey data on 6 railway pantry cars. Measurements were carried out during peak cooking times such as morning “7 : 00 am”, day “11 : 30 am”, evening “4 : 00 pm,” and night “6 : 30 pm”. This study’s descriptive and Pearson’s correlation analysis was accomplished using SPSS version 2016 software. RESULTS: The analysis results revealed that the average values were for UTCI (37.77±5.26°C), WBGT (30.42±2.28°C), DI (30.05±2.70°C), TSI (33.21±2.90°C), HI (48.53±4.86°C), correspondingly. During analysis, the strongest correlation association was observed between “TSI and DI” (r = 0.985, p < 0.000) and WBGT and TSI (r = 0.958, p < 0.000). A “significant correlation” was found between UTCI and HI (r = 0.637, p < 0.05). While no signification correlation was found between “heat stress indices and physiological parameters (p > 0.05)”. CONCLUSION: In this study, all the heat stress index limit values showed highly harsh working conditions inside the pantry car, which created unfavorable circumstances for the culinarians. Inappropriate “ventilation design” could be a reason for discomfort in the railway pantry car.
LITERASI MODERASI BERAGAMA SEBAGAI REAKTUALISASI “JIHAD MILENIAL” ERA 4.0
Authors: Wahyudi Dedi , Kurniasih Novita
Published: August 2024

Pada ruang-ruang digital yang dikendalikan kecepatan elektronika, eksistensi manusia berubah dari sebuah bentuk tubuh yang bergerak dalam sebuah ruangan, berubah menjadi sebuah bentuk tubuh diam di tempatnya serta hanya mampu menyerap semua informasi yang ada melalui simulasi elektronik.  Tidak jarang ruang-ruang digital tersebut diisi dengan berbagai muatan yang menyulut konflik dan menghidupkan perpecahan. Pemaknaan jihad yang luas melahirkan “jihad milenial” sebagai upaya dalam kontekstualisasi makna jihad yang tidak homogen dan tunggal, akan tetapi dapat fleksibel, lentur sesuai dengan konteks zamannya. Kajian ini akan mendedah bagaimana literasi moderasi beragama di era 4.0 yang memanfaatkan kemajuan pengetahuan dan teknologi informasi diharapkan dapat menjadi salah satu upaya “jihad milenial” dalam menyebarkan wajah Islam yang rahmatan lil ‘alamin. Kajian ini adalah bentuk penelitian kualitatif yang menggunakan studi kepustakaan atau library research sebagai pendekatannya. Sumber penelitian yang digunakan didapatkan dari berbagai sumber ilmiah yaitu buku, artikel jurnal, serta berbagai sumber lainnya yang berhubungan dengan kajian penelitian. Selanjutnya dengan teknik analisis data berupa deskriptif-analitik, peneliti akan melakukan analisis terhadap data-data yang ditemuinya sebelum menyajikannya kepada pembaca di tengah-tengah masyarakat multikultural. 
Keyword: Literasi, Moderasi Beragama, Jihad Milenial, Era 4.0
Food habits in adolescents: analysis of the current state
Authors:   State Institution ", Gulich M.P. ,   O.M. Marzіeiev Institute for Public Health of the NAMSU",   , Kyiv, Petrenko O.D. ,   State Institution "O.M. Marzіeiev Institute for Public Health of the NAMSU", Kyiv
Published: August 2024

The purpose of the work was to identify the main trends and problems in the nutrition of teenagers, as well as factors that influence the formation of their eating behavior, in particular, the relationship and peculiarities of the perception of school meals. Materials and methods. This sociological study was conducted by online surveying of middle-aged and older schoolchildren in order to analyze their eating habits and identify the main factors that influence them. 5,685 children in different regions of Ukraine took part in the study, which made it possible to obtain representative data on the eating behavior of adolescents. The results showed that the majority of children have a varied diet outside the educational institution in terms of food composition and frequency of food consumption. However, home nutrition is often irregular and includes a large number of snacks rich in sugar and fat. Most children are used to consuming food while working with computers and gadgets, consuming unhealthy foods, which indicates the need for educational work on balanced nutrition. Despite the high awareness of the risks of improper nutrition, most children do not follow the rules of healthy eating due to lack of motivation and lack of awareness of health risks. School meals are not popular among older students. The popularity of school canteens and buffets decreases with age: older students more often choose brought food or refuse school meals altogether. Almost half of the children (45.97%) do not like the food in the school canteen. Most children bring food from home, which often consists of high-carbohydrate and high-fat foods, snacks and sweets. This negatively affects their health and contributes to the development of food-dependent diseases. The main reasons for the low popularity of school meals are the unusualness of the dishes (15.6%), economic factors (17.9%), and the unfashionability of visiting the canteen (23.2%), which indicates the need to adapt the school menu to the tastes and preferences of children. Most teenagers receive knowledge about healthy eating from their parents (74.66%), the most frequent obstacles to healthy eating are lack of free time (12.93%) and desire (21.27%), and the main motives are the desire to avoid diseases (64.66%) and look good (54.19%). Conclusions. The current state of eating habits and eating behavior of adolescents is determined, which is the basis for the development and implementation of educational programs on balanced nutrition, adaptation of the school menu to the tastes and preferences of children, as well as measures to increase motivation to adhere to the principles of healthy eating in school and extracurricular environments.