bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automatic Spontaneous Speech Analysis for the Detection of Cognitive Functional Decline in Older Adults: Multilanguage Cross-Sectional Study
Authors: Ambrosini Emilia , Giangregorio Chiara , Lomurno Eugenio , Moccia Sara , Milis Marios , Loizou Christos , Azzolino Domenico , Cesari Matteo , Cid Gala Manuel , Galán de Isla Carmen , Gomez-Raja Jonathan , Borghese Nunzio Alberto , Matteucci Matteo , Ferrante Simona 
Published: February 2024

Background
The rise in life expectancy is associated with an increase in long-term and gradual cognitive decline. Treatment effectiveness is enhanced at the early stage of the disease. Therefore, there is a need to find low-cost and ecological solutions for mass screening of community-dwelling older adults.

Objective
This work aims to exploit automatic analysis of free speech to identify signs of cognitive function decline.

Methods
A sample of 266 participants older than 65 years were recruited in Italy and Spain and were divided into 3 groups according to their Mini-Mental Status Examination (MMSE) scores. People were asked to tell a story and describe a picture, and voice recordings were used to extract high-level features on different time scales automatically. Based on these features, machine learning algorithms were trained to solve binary and multiclass classification problems by using both mono- and cross-lingual approaches. The algorithms were enriched using Shapley Additive Explanations for model explainability.

Results
In the Italian data set, healthy participants (MMSE score≥27) were automatically discriminated from participants with mildly impaired cognitive function (20≤MMSE score≤26) and from those with moderate to severe impairment of cognitive function (11≤MMSE score≤19) with accuracy of 80% and 86%, respectively. Slightly lower performance was achieved in the Spanish and multilanguage data sets.

Conclusions
This work proposes a transparent and unobtrusive assessment method, which might be included in a mobile app for large-scale monitoring of cognitive functionality in older adults. Voice is confirmed to be an important biomarker of cognitive decline due to its noninvasive and easily accessible nature.
Development of the smartphone application for patients with dementia: a literature review
Authors: Utami Pinasti , Rahmawati Fita , Astuti  , Zullies Ikawati  
Published: February 2024

Primary technological developments are advancing rapidly, and dementia patients and caregivers are becoming more open to online interactions for enhancing dementia care. However, most existing applications only focus on patients, and there is a need to expand their scope to include caregivers. Ideally, the application should be designed with the caregiver in mind, and considering the impact they experience while caring for dementia patients. Families are specifically targeting caregivers who are at the highest risk of experiencing caregiver burnout, such as those caring for patients. This literature review described the necessary functions and content for dementia caregivers, serving as a reference for designing, developing, and implementing smartphone solutions that meet user needs. This review utilized articles from three databases i.e. PubMed NCBI, ScienceDirect, and Tandfonline. The Boolean approach method was used to generate the exact keywords. The inclusion criteria for this study encompassed smartphone applications for dementia patients, focusing on function and content, published in English-language journals within five last years, with an emphasis on original research and free full access. In this review, six articles were obtained. From these six articles, four findings related to functions and content were identified i.e. education, interactive health promotion, interaction stakeholder, and referencing information sources. These four aspects could serve as references for developing comprehensive smartphone applications for caregivers, and facilitating integrated health care.
Plant-Based Dietary Patterns and Incident Diabetes in the Atherosclerosis Risk in Communities (ARIC) Study
Authors: Sullivan Valerie K. , Kim Hyunju , Caulfield Laura E. , Steffen Lyn M. , Selvin Elizabeth , Rebholz Casey M. 
Published: February 2024

OBJECTIVE
Plant-based dietary patterns emphasize plant foods and minimize animal-derived foods. We investigated the association between plant-based dietary patterns and diabetes in a community-based U.S. sample of Black and White adults.

RESEARCH DESIGN AND METHODS
We included middle-aged adults from the Atherosclerosis Risk in Communities (ARIC) study without diabetes at baseline who completed a food-frequency questionnaire (n = 11,965). We scored plant-based diet adherence according to three indices: overall, healthy, and unhealthy plant-based diet indices. Higher overall plant-based diet index (PDI) scores represent greater intakes of all plant foods and lower intakes of animal-derived foods. Higher healthy plant-based diet index (hPDI) scores represent greater healthy plant food intake and lower intakes of animal-derived and unhealthy plant foods. Higher unhealthy plant-based diet index (uPDI) scores represent greater unhealthy plant food intake and lower intakes of animal-derived and healthy plant foods. We used Cox regression to estimate hazard ratios (HRs) for incident diabetes (defined according to self-reported diagnosis, medication use, or elevated blood glucose) associated with each index.

RESULTS
Over a median follow-up of 22 years, we identified 4,208 cases of diabetes among subjects. Higher PDI scores were associated with a lower risk of diabetes (quintile 5 vs. 1 HR 0.89 [95% CI 0.80, 0.98]; Ptrend = 0.01). hPDI scores were also inversely associated with diabetes risk (quintile 5 vs. 1 HR 0.85 [95% CI 0.77, 0.94]; Ptrend &lt; 0.001). uPDI scores were not associated with diabetes risk.

CONCLUSIONS
A dietary pattern that minimizes animal-derived foods and emphasizes plant foods may reduce diabetes risk.
Pengaruh Kompetensi Sosial Kepala Sekolah Terhadap Peningkatan Akreditasi di SMK Negeri 1 Barru
Authors: Baharuddin Baharuddin , Hafid Erwin , Musdalifah Musdalifah , Idul Fitri Muh. Nur , Gusnadi Rahmat 
Published: February 2024

Tujuan Riset ini adalah menganalisis pengaruh pengaruh kompetensi soaial kepala sekolah terhadap peningkatan akreditasi di SMK Negeri 1 Barru. Kuantitatif merupakan jenis penelitian yang digunakan dengan populasi penelitian adalah Guru dan Kepala Sekolah di SMK Negeri 1 Barru melalii responden sebanyak 79. Proses menghimpun data dilakukan dengan cara observasi, angket dan dokumentasi. Data kemudian analisis deskriptif yang menunjukkan bahwa kompetensi sosial kepala sekolah pada kategoru sedang dengan jumlah responden 48 dari total 79 responden dengan persentase sebesar 60, 75%. dan Peningkatan Akreditasi pada kategori sedang dengan jumlah responden 53 dari total sebanyak 79 Responden dengan presentase sebesar 67, 08%. Uji Statistik menunjukkan nilai = 5,961 = 1,991, maka hipotesis Alternatif diterima dan hipotesis nihil ditolak, ini berarti ada pengaruh kompetensi sosial kepala sekolah terhadap peningkatan akreditasi di SMK negeri 1 Barru.
OPTIMALISASI PENCAHAYAAN ALAMI GEDUNG PERPUSTAKAAN (STUDI KASUS: GEDUNG PERPUSTAKAAN UNIVERSITAS ISLAM NEGERI ALAUDDIN MAKASSAR)
Authors: Ismajaya Muh. Aryanugraha , Nurul Jamala B  , Asniawaty  
Published: February 2024

Abstrak_ Penelitian ini mengoptimalkan peningkatan distribusi pencahayaan alami di Gedung Perpustakaan Universitas Islam Negeri Alauddin Makassar. Metode penelitian menggunakan pendekatan kuantitatif yang melibatkan pengukuran langsung pencahayaan alami dengan lux meter di lokasi serta penyebaran kuesioner kepada pengunjung perpustakaan. Data lapangan diolah menggunakan MS Office Excel untuk analisis pencahayaan, sedangkan aplikasi Autodesk Ecotect dengan plugin Dekstop Radiance digunakan untuk mensimulasikan hasil pengukuran lapangan. Simulasi dilakukan menggunakan 6 sampel model light shelf yang berbeda dalam upaya mengoptimalkan pencahayaan alami. Hasil menunjukkan bahwa penggunaan light shelf dengan posisi di tengah dan sudut miring pada bagian luar menjadi strategi terbaik dalam memaksimalkan cahaya alami yang masuk ke dalam gedung. Pada lantai 2, light shelf ditempatkan di tengah jendela dengan kemiringan 15° pada setiap bukaan jendela luar, yang menghasilkan nilai R2 tertinggi sebesar 0,94. Sedangkan pada lantai 3, penggunaan light shelf di tengah jendela dengan kemiringan 30° pada sisi utara dan 15° pada sisi selatan memperoleh nilai R2 tertinggi sebesar 0,85.
Kata kunci: Pencahayaan Alami; Gedung Perpustakaan; Optimalisasi; Light Shelf; Efisiensi Energi;Ecotect

Abstract_ This research aims to optimize natural lighting in the Alauddin Makassar State Islamic University Library building by enhancing the distribution of natural light. The study employs a quantitative method involving direct measurement of natural lighting using a lux meter on-site and the dissemination of questionnaires among library visitors. Field measurement data is processed using MS Office Excel to assess the lighting conditions. Additionally, the application of Autodesk Ecotect with the Desktop Radiance plugin is utilized to simulate field measurement outcomes. To optimize natural lighting, simulations are conducted using six different models of light shelves. The simulation results indicate that employing a light shelf positioned centrally with an external angled surface proves most effective in maximizing natural light entry into the building. On the second floor, a centrally positioned light shelf with a 15° angle on each outer window opening yields the highest R2 value of 0.94. Meanwhile, on the third floor, using a centrally positioned light shelf with a 30° angle on the north side and 15° on the south side of the window achieves the highest R2 value of 0.85..
Keywords: Natural Lighting, Library Building, Optimization, Light Shelf, Energy Efficiency, Ecotect
تطوير القاموس المساعد في تعليم مهارة القراءة في مدرسة دار الأخوة الثانوية الإسلامية بمالانج
Authors: Zaki Zaki Ahmad Farid , Rosyidi Abdul Wahab , Kholil Ahmad 
Published: February 2024

Tujuan penelitian ini dilakukan adalah untuk Menghasilkan dan menjelaskan proses pengembangan kamus musaid dalam pembelajaran maharah qiraah di SMP Daarul Ukhuwwah Malang, Untuk Mengetahui kelayakan kamus musaid dalam pembelajaran maharah qiraah di SMP Daarul Ukhuwwah Malang, Untuk Mengetahui keefektifan kamus musaid dalam pembelajaran maharah qiraah di SMP Daarul Ukhuwwah Malang. Penelitian ini menggunakan jenis penelitian dan pengembangan (Research and Development). Proses pengembangan kamus musaid menggunakan model pengembangan ADDIE yang mengadopsi dalam Robert Maribe Branch. Model pengembangan ADDIE mempunyai 5 tahapan: a) Tahap Analisis, b) Tahap Desain, c) Tahap Pengembangan, d) Tahap Implementasi, e) Tahap Evaluasi. Teknik pengumpulan data melalui data kualitatif dan data kuantitatif. Data kualitatif diperoleh dari hasil wawancara, observasi, masukan para validator,dan dokumentasi, sedangkan data kuantitatif diperoleh dari hasil kuesioner validator, hasil belajar siswa pre-test dan post-test sebelum dan sesudah menggunakan produk kamus musaid yang dianalisis menggunakan uji-t dengan bantuan program komputer SPSS 21. Hasil pengembangan menunjukkan bahwa: (1) Menghasilkan kamus musaid melalui tahapan pengembangan ADDIE. (2) Proses uji kelayakan kamus musaid melalui validator ahli desain, ahli bahasa dan isi, ahli pembelajaran yang hasilnya sangat layak dan layak untuk diujicobakan. Hal ini berdasarkan hasil validasi ahli desain mendapatkan kriteria sangat layak dengan nilai 98,75%. Hasil validasi ahli bahasa dan isi memdapatkan triteria layak dengan nilai 80%. Hasil validasi ahli pembelajaran mendapatkan kriteria sangat layak dengan nilai 88,57%. Hasil angket tanggapan kemenarikan kamus musaid untuk siswa mendapatkan kriteria sangat layak dengan nilai 81,15%. (3) Tingkat keefektifan pada kamus musaid yang hasilnya terbukti efektif. Hal ini diperkuat dari hasil pre-test dan post-test sebelum dan sesudah menggunakan kamus musaid, hasil pre-test dan post-test kelas eksperimen mendapatkan nilai rata-rata 56,69 dan 86,31, dan hasil pre-test dan post-test kelas kontrol mendapatkan nilai rata-rata 51,35 dan 61,81. Dari hasil tersebut kemudian diuji dengan menggunakan independent sample test, adapun hasilnya adalah hasil uji hipotesis post-test kelas eksperimen dan kontrol yaitu Sig. 0,000 < 0,05. Dari perolehan hasil tersebut ada perbedaan yang signifikan antara sebelum dan sesudah menggunakan kamus musaid. Kesimpulannya terdapat peningkatan hasil belajar siswa setelah menggunakan kamus musaid dalam pembelajaran maharah qiraah di SMP Daarul Ukhuwwah Malang.
Characteristics of water isotopes and their indication for water budget in a closed reservoir, Southeast China
Authors: Huang Qiang , Ouyang Liao , Lu Weijie , Chen Wenlin , Wang Zimiao , Xie Weiping 
Published: February 2024

Abstract
Xili reservoir is one of the most important drinking water reservoirs in southeast China, ensuring the safety of water supply in Shenzhen city. Understanding the water balance in the reservoir system under climate change and human activities is essential for making optimal water use planning. To assess the water balance of the Xili reservoir system, the water isotope characteristics in rainfall, reservoir water, groundwater, soil, and plant were investigated. The variation of isotope composition in rainfall, reservoir water, and groundwater indicates the different recharging and mixing water sources. A mathematical mass-balance model was established to evaluate the water budget in the Xili reservoir. Roughly 35% of total incoming water was consumed by evaporation, which reminds managers to pay more attention to making scientific planning.
Research on the Model Construction and Analysis of the Enterprise E-commerce Service Capability
Authors: Wu Juan , Pan Wen an , Atchike Desire Wade 
Published: February 2024

Abstract
The customer-oriented and situational nature of e-commerce requires companies to build up service capabilities. However, few scholars have studied this capability systematically. Most scholars see it as a ‘black box’ and give different 'black box' elements depending on the purpose of the study. So, in the context of e-commerce, what should a company's service capabilities include? How are they formed? What impact do they have on a firm's competitive advantage? How can service capabilities be established and improved? Based on the above background and questions, this paper investigates the service capabilities of e-commerce platforms by applying customer value theory in conjunction with the background characteristics of e-commerce transactions. Through case studies, a conceptual model of e-commerce service capability is proposed and its formation mechanism is studied. On this basis, the paper investigates how to measure e-commerce service capability. The aim is to provide theoretical guidance for enterprises' capability planning on e-commerce platforms and to facilitate the transformation from ‘commodity management’ to ‘capability management’. A combination of probability sampling and non-probability sampling was used to select the sample by distributing questionnaires to manufacturing companies in Taizhou, Hangzhou and Shaoxing, Zhejiang Province. For the mail survey, this study uses a snowball method to select the sample. This paper constructs service capability measurement indexes for e-commerce enterprises based on customer's perception of the transaction process, and uses dynamic factor analysis method to analyze enterprises' e-commerce strategic capability, e-commerce management capability and e-commerce technical resources, thus bringing constructive suggestions for the improvement of e-commerce service capability. The findings show that these three competencies are key components of e-business capabilities and together determine the establishment, cultivation and maintenance of an enterprise's e-business capabilities. Enterprises need to focus on these three areas and continuously modify and improve them to ultimately acquire e-business service capabilities.
Numerical calculation of seepage field and stability analysis of dam body of closed tailings pond
Authors: Jin Songli , Geng Chao 
Published: February 2024

Abstract
In this study, taking a certain iron ore tailings pond as the research object, a closed pond engineering design was conducted to ensure its sustained and stable operation. Firstly, installation of a flood drainage system (spillway) and closure of the existing overflow tower and drainage pipe are suggested. Secondly, numerical analysis is conducted on the seepage field of the dam body to determine the position of the saturation line of the dam body under normal water storage level and design flood level. Subsequently, the stability of the dam body under various working conditions is assessed using the limit equilibrium method.
Research on the Present Situation and Countermeasures of Technoloy Trading in China Based on Technology Contract Analysis-Take pudong new area, Shanghai as an example
Authors: Rong Huang 
Published: February 2024

Abstract
Technology trading is the main path for the transformation of scientific and technological, and it can connect the integration of science and technology with the economy. It plays an important role in the scientific and technological innovation chain. This article mainly focuses on the current situation of technology contract in Pudong New Area, Shanghai, analyzes the difficulties and problems faced in the development of the technology market in the new area, and puts forward policy suggestions to promote the development of the technology trading market. In order to promote the efficiency of Pudong's scientific and technological transformation, enhance the technological competitiveness of enterprises, accelerate the in-depth integration of science and technology with industry, and strengthen the ability of regional independent innovation.
Research on Dynamic Model Construction of MTI Teacher Professional Development under Influence of Translation Technology
Authors: Wang Zhe , Chen Xiaoyuan 
Published: February 2024

Abstract
The continuous updating of translation technology has had a huge impact on the Master of Translation and Interpreting (MTI) teacher professional development. Exploring the effects of translation technology on teacher professional development, the composition of abilities, and factors that influence it, this paper draws upon a literature review and action research. Through the theoretical deductive reasoning and action research, the paper has constructed a dynamic model of MTI teacher professional development under the influence of translation technology, providing cases and useful references for the follow-up research of teacher professional development under the new technology environment, in order to provide a feasible implementation plan for the professional development of college teachers.
Research on Self-service Customs Clearance System at Border Crossings Based on Deep Learning Models
Authors: Huang Wenjie 
Published: February 2024

Abstract
This paper proposes a deep learning method for face recognition in the self-service customs clearance system at border crossings and designs the encoder and face feature mining module in the learning framework. Meanwhile, the loss function is constructed by combining L1 loss and KL scatter. The face recognition technology based on the deep learning model is used to construct the self-service border crossing system, and the research and analysis are conducted from two aspects, namely, the test of the self-service border crossing system and the application situation. The number of outbound self-clearance acceptors has increased by 2957931, and the self-clearance system at border crossings is able to provide more travelers with the convenience brought by self-clearance. This study solves the problem of self-clearance at border crossing with the help of face recognition technology in a deep learning model, which provides technical support and theoretical reference for the optimization and upgrading of self-clearance system at border crossing in the future.
Detection of Apparent Defects in HPLC/Dual Mode Portable Sorting Device Based on Deep Learning and Image Processing
Authors: Wang Peng , Li Xiao , Jiang Peng , Li Zhe , Li Lin , Liu Lijun , Wang Zhaojun 
Published: February 2024

Abstract
As the growth of automated detection technology, traditional manual detection has gradually been replaced. To improve the effectiveness of defect detection, a HPLC/dual mode portable sorting device with deep learning and image processing is raised for apparent defect detection. The product image is segmented using flood filled mean shift method, and defect detection is achieved using Yolo v3 algorithm. An LME2918 chip is the main component of the communication module in the portable device. Based on experimental data, image segmentation accuracy can range from 80% to 100%, and image matching accuracy can range from 85% to 95%. Under the power line carrier mode, the average success rate of apparent defect detection in portable sorting devices can reach 85%, and the change in success rate is not significant, indicating that the detection is relatively stable; Under wireless communication mode, the average success rate can reach 83%, and the change in success rate is relatively obvious, because wireless communication is easily affected by the external environment. The experimental data shows that the defect detection effect of the HPLC/dual mode portable sorting device based on deep learning and image processing meets the design requirements.
Knowledge Graph-based Diversity Analysis of Supplier Holographic Portraits
Authors: Li Jinxia , Bian Huaxing , Wen Fuguo , Hu Tianmu 
Published: February 2024

Abstract
Fully understand the development of suppliers in order to make better supplier selection. This paper is based on the knowledge graph, through the knowledge updating of the knowledge graph combined with the Transformer model for knowledge extraction of supplier entity relationship, forming the ternary semantic information of supplier entity relationship. Then, based on the big data platform for the construction of supplier holographic portrait and knowledge storage, through information integration, analysis and other links to identify the supplier attributes for label definition. Taking cell phone product suppliers as an example, we use Python technology to obtain relevant data and validate the specific role of supplier holographic portrait in terms of the supplier’s comprehensive strength, behavioral prediction, transaction closeness, and comprehensive evaluation. The results show that: the correlation between the comprehensive strength of suppliers and the amount of winning bids is strong, and its R2 test result is 0.5924, and it can realize the behavioral prediction of suppliers in the supply chain. Supplier H offers a range of cell phone products in 2022, which is 17.62%<unk>21.17% higher than the benchmark market price. The holographic portrait of suppliers based on a knowledge graph combined with a big data platform can meet the need to carry out an all-around analysis of suppliers and provide more accurate support for diversified decision-making on the demand side.