bluuebunny/crossref_metadata_2025 huggingface dataset:
Detecting and Predicting Supply Chain Risks: Fraud and Late Delivery Based on Decision Tree Models
Authors: Liang Yuchen
Published: January 2025

In modern supply chains, fraudulent orders and late deliveries cause major disruptions, leading to inefficiencies and increased costs. Traditional methods like manual audits and rule-based systems are often inadequate. They struggle to handle complex data and adapt to rapidly changing conditions. Machine learning provides a more effective solution by managing large datasets and detecting intricate patterns. This study examines decision tree models for detecting and predicting risks within supply chains. This research takes the data smart supply chain dataset as an example, analyzing the effect of deploying a decision tree into risk prevention. After data cleaning and feature engineering, the decision tree analyzes feature importance, helping detect key factors that cause risks. Then, a decision tree model is built to determine whether an order is fraudulent and predict whether it will be delivered late. The model's performance is measured using accuracy, precision, recall, and F1-score. The results show that decision trees are an effective tool for identifying these risks. They offer clear insights into key factors impacting supply chain performance. This study concludes that machine learning can improve risk management in supply chains. It helps make operations more efficient and resilient against disruptions.
Analysis of Pinduoduo's Advertising Strategy from the Perspective of Communication Channels
Authors: Sun Zixin
Published: January 2025

This paper analyzes Pinduoduos comprehensive advertising strategy, which integrates both digital and traditional media channels to optimize reach, engagement, and brand awareness across diverse consumer segments. Pinduoduo effectively leverages digital platforms, particularly social media, through innovative strategies such as group purchasing, gamification, influencer marketing, and data-driven targeting. These personalized and interactive approaches foster strong user engagement and drive organic growth. Simultaneously, traditional advertising channelstelevision, print, and outdoor advertisingremain central to Pinduoduos strategy, especially in reaching consumers in lower-tier cities and rural areas. The paper further explores how Pinduoduo adheres to the principles of integrated marketing communication (IMC) by delivering consistent messaging across diverse channels, enhancing brand credibility and consumer trust. By combining the precision of digital marketing with the broad reach of traditional media, Pinduoduo has positioned itself as a leading e-commerce platform, capable of appealing to a wide-ranging audience while maintaining a cohesive brand identity in an increasingly competitive market.
Stock Prediction Using Artificial Intelligence Technology: A Review
Authors: Zhu He
Published: January 2025

Artificial intelligence (AI) technologies have significantly transformed stock market prediction, offering novel approaches for financial forecasting. This review focuses on AI's integration into stock prediction, emphasizing key methodologies, such as machine learning (ML) and hybrid models, and emerging trends like quantum computing and blockchain technologies. The synergistic combination of AI and traditional financial analysis has yielded impressive improvements in accuracy. However, challenges such as data quality, overfitting, and legal concerns remain. This paper aims to provide insights into the current and future landscape of AI in stock prediction and its potential for revolutionizing financial markets.
Analysis of Value Choices Among Young Consumers: A Case Study of Instant Lottery
Authors: Li Siyu
Published: January 2025

In recent years, instant lotteries have become a popular pursuit among young consumers, largely due to their convenience and perceived entertainment value. This phenomenon is closely related to the rapid development of society and the transformation of consumer psychology. In light of the acceleration of the pace of life and the concomitant increase in competitive pressure, young people are increasingly inclined to seek consumption methods that can swiftly provide gratification. Instant lotteries are a means of satisfying this demand. This paper employs a literature review and case study to investigate the value judgments and choices embedded in young people's lottery purchasing behaviors from their perspectives and social contexts. This study makes a contribution to the understanding of the psychological motivations of young consumers. The study revealed that young consumers demonstrate a distinct proclivity to pursue immediate emotional gratification through their instant lottery purchases. Furthermore, many youth are able to cultivate stronger social bonds and share in the anticipation and excitement when purchasing lottery tickets with friends and peers. Concurrently, purchasing lottery tickets has become a means for youth to cope with the stresses of life. Collectively, these factors contribute to the active presence of youth consumers in the instant lottery market, elucidating their distinctive life attitudes and consumption psychology.
International Organizations Function in Developing Trade Policies
Authors: Hang Mengyang
Published: January 2025

International organizations, such as the EU, UNCTAD, and WTO, play a pivotal role in shaping global trade policies, fostering economic cooperation, and reducing trade barriers. These organizations not only regulate international trade practices but also resolve disputes, ensuring stability and predictability. Trade policies significantly impact global exchange rates, influencing currency values based on trade surpluses, deficits, and capital flows. While free trade offers benefits such as increased economic growth, resource allocation efficiency, and innovation, it also presents challenges, including protectionism and unequal development stages among member states. The research also highlights the role of international organizations in driving sustainable trade practices, especially in promoting renewable energy technologies. However, the diverse interests of developed and developing countries, combined with bureaucratic delays, pose significant obstacles in achieving coherent and adaptive trade policies. This study underscores the need for balanced, inclusive trade policies that consider both economic and environmental objectives.
Smart Paws: AI-Powered Pet Wearables
Authors: Wang Ji
Published: January 2025

The awareness of consumers regarding the pets they own, the pet health demand and the overall growth in the number of people owning pets has subsequently fuelled the demand for new ideas in the field of pet health care. This research majorly focuses on the creation and validation of a health Smart Paws collar that is capable of managing pet health and safety issues through technological innovation. The research used both quantitative and qualitative research method, with data obtained from monitoring the pet' daily activities with the Smart Paws collar and feedback from pet owners on the use of the collars. Users of the Smart Paws collar are randomly sourced and willing participants who allow researchers to record the data on them for six months. The findings reveal the positive impact of Smart Paws collar in terms of accuracy in monitoring pets health, owners satisfaction with nutritional information provided, recording of owner-pet interactions, and reduction of anxiety in regard to the pets safety. While the research also formalized the identified challenges that Smart Paws collars present, it still gives confidence to investors in Smart Paws and indicates the merits of the companys market breakthrough by addressing such issues.
Impact and Transformation: The Digital Economys Role in Traditional Industries
Authors: Wang Jiarui
Published: January 2025

The rapid development of the digital economy has significantly reshaped traditional industries, particularly in the retail and manufacturing sectors. This paper explores the impact of digital technologiessuch as big data, artificial intelligence, and the Internet of Thingson business operations, focusing on how these technologies have enabled retail enterprises to implement omnichannel strategies and optimize supply chain management. In the manufacturing industry, the study examines how intelligent manufacturing and industrial Internet applications have improved production efficiency and resource utilization. Using case studies and industry analysis, the research highlights the challenges faced by small and medium-sized enterprises in terms of technological upgrading and financial constraints during digital transformation. The paper concludes by discussing the broader implications of digital transformation across various industries and suggests future research directions, including examining the potential impact on other traditional sectors and exploring cross-industry digital integration trends.
The Role of User-Generated Content and Micro-Influencers in Shaping the Global Image of Fast Fashion Brands: A Case Study of SHEINs Marketing Strategies in North America and Europe
Authors: Nie Yusu
Published: January 2025

As one of the fastest-growing cross-border e-commerce brands globally, SHEIN has successfully enhanced its brand awareness across diverse cultural contexts through collaborations with user-generated content (UGC) and micro-influencers on social media platforms. This study explores the role of UGC and micro-influencers in expanding the global presence of the fast fashion brand SHEIN, with a particular focus on its marketing strategies in North America and Europe. Unlike traditional large-scale influencers, micro-influencers operate within smaller communities, offering high levels of interaction and trust, thereby enabling precise and effective marketing. Adopting a qualitative approach, this research analyzes 3,000 pieces of UGC and 200 micro-influencer promotional posts from SHEINs campaigns on Instagram and TikTok. It specifically examines the relationship between the engagement rates of branded content (e.g., likes, comments, and shares) and SHEINs sales growth in the respective markets. The findings reveal that SHEIN effectively leveraged UGC and micro-influencers to enhance its brand visibility. Particularly, localized marketing strategies in North America and Europe enabled the brand to achieve consistency in its image across diverse cultural backgrounds. This study provides new insights into cross-border e-commerce brand management and offers valuable references for fast fashion brands navigating digital communication strategies.
The Impact of National Monetary Policy on Stock Price Increases
Authors: Li Xianke
Published: January 2025

This paper investigates the impact of national monetary policy on stock price increases. In the current economic environment, monetary policy, as a crucial instrument for national economic regulation, significantly influences stock market trends. By analyzing the relationship between monetary policy and stock price increases and adopting an empirical analysis approach, this study explores Chinas stock market. Through discussions on the transmission mechanism of national monetary policy's impact on the stock market, empirical analysis, and policy recommendations, this paper aims to provide useful references for investors, policymakers, and market participants. The research finds that national monetary policy significantly influences stock price increases, particularly through monetary supply policies and interest rate policies. In practice, policymakers should comprehensively employ monetary and fiscal policies to achieve stock market stability and economic growth.
Quality of nursing care, compassionate care and patient satisfaction: A multiple regression in path analysis model
Authors: Le Thi Thao Hien , Galang Aliswag Emerson
Published: January 2025

Background: Patient satisfaction with nursing care is a critical indicator of healthcare quality, influencing treatment adherence and health outcomes. In Vietnam, there is limited research focusing specifically on patient satisfaction with nursing care and the mediating role of compassionate care.
Objectives: This study aims to: (i) assess patient satisfaction with nursing care, focusing on its quality and compassionate care; (ii) examine the relationships between nursing care quality, compassionate care, and patient satisfaction using multiple regression analysis; (iii) develop a model to improve patient satisfaction with nursing care based on these findings.
Methods: A descriptive study was conducted on 304 patients hospitalized for a minimum of 72 hours at Hoan My hospital in Dong Nai, Vietnam. Participants were selected using systematic random sampling from the General Internal Medicine and General Surgery departments. Data were analyzed using multiple regression and path analyses to explore relationships between variables.
Results: Patient satisfaction, nursing care quality, and compassionate care were rated positively, with mean scores of 3.54 ± 0.69, 3.46 ± 0.86, and 3.54 ± 0.67, respectively. Strong positive correlation were identified between patient satisfaction and both nursing care quality (r = 0.845) and compassionate care (r = 0.777). The analysis revealed that 72.9% of the variance in patient satisfaction was explained by medical-technical competence, identity-oriented approaches, and physical-technical conditions. Additionally, compassionate care explained 61.7% of the variance in satisfaction, with patient expectation and capable practitioner being key factors. Path analysis showed a significant indirect effect of nursing care quality on patient satisfaction mediated through compassionate care (β = 0.227, p < 0.001).
Conclusions: The study found that patients rated nursing care quality and compassionate care very high resulting in strong satisfaction. Improving care quality through a compassionate approach can further enhance patient satisfaction. It is recommended to develop a culture of patient-centered care that values empathy, understanding, and addressing patients’ psychological and emotional needs.
Modified Atmospheric Packaging in Various Food Products
Authors: Rasheed Jasmin Laila , Evangeline Christina A. , Azeez Mr. Naisam , Samuel Justin
Published: January 2025

Food spoilage and preservation is a major concern worldwide. This review aimed to provide a comprehensive overview of modified atmospheric packaging usage across various products and underscores food safety and preservation significance. Modified atmospheric packaging emphasizes the potential to maintain quality and extend the shelf life of products. Data was collected from electronic databases from the last fifteen years, 2010 to 2024. MAP technology has successfully extended the shelf-life of numerous food products such as fruit, vegetables, meat, poultry, fish, and dairy goods by adjusting atmospheric gases. As a result, it minimizes microbial growth, delays biochemical changes, and prevents physical degradation in food products. This review highlights the importance of modified atmospheric packaging in achieving sustainable development goals, specifically in reducing food waste. Modified atmospheric packaging is a modern preservation technique which offers insights into sustainability and food safety.
Evaluating drug awareness and adherence to antiglaucoma medications in patients attending Glaucoma clinic in a tertiary care hospital in South India
Authors: R Tejas , S Kishore , R Swati , Satish A
Published: January 2025

Background:
Glaucoma, a leading cause of blindness globally, results in progressive optic nerve damage and irreversible vision loss. In India, it accounts for a significant disease burden. Effective management requires lifelong adherence to prescribed medication regimens, yet nonadherence remains a substantial challenge.

Aim:
This study aims to evaluate the knowledge and adherence levels to antiglaucoma medication among patients with primary open angle glaucoma at KR Hospital's glaucoma clinic in Mysore.

Methods:
A cross-sectional study was conducted over three months, involving 60 glaucoma patients aged 35-70 years. Data were collected using a pre-validated questionnaire assessing drug awareness and adherence, supplemented by an eye drop instillation simulation. Descriptive and inferential statistical analyses were performed using SPSS software.

Results:
The study revealed that 98.3% of patients were aware of their medication schedules, while only 53.3% could name their prescribed medications. Adherence to medication was high, with 61.6% scoring between 8-9 on a 9-point scale. However, 46.6% of patients did not continue their medication when feeling worse. The mean awareness score was 9.397 ± 2.495, and the mean adherence score was 7.51 ± 1.29. The eye drop simulation test showed that 75% of patients scored above the mean score of 7.5.

Conclusion:
The findings indicate strong adherence and awareness regarding medication schedules but highlight gaps in knowledge about medication names and duration of treatment. Improving patient education on these aspects and adverse drug reactions is crucial. Interventions to enhance eye drop instillation techniques are necessary to optimize treatment efficacy. Addressing these issues can lead to better management of glaucoma and reduce the associated disease burden.
Assessment of the Applicability of Microwave Vacuum Drying Equipment based on the Change of Nutriental Components in Purple Potato
Authors: Duy Phan The , Van Nguyen Thanh , Dang Vo thi Dang , Thanh Do Van , Khoa Bui Quoc , Hay Nguyen , Duc Le Anh
Published: January 2025

Vacuum microwave drying is one of the advanced drying techniques that has been widely studied and applied recently. In the vacuum microwave drying process, heat energy is supplied by electromagnetic energy to heat the material, under vacuum conditions. This paper presents the results of the study on the effects of vacuum microwave drying on drying time, total sugar content and protein content of purple sweet potatoes under different conditions of vacuum pressure (65, 75, 85 kPa) and microwave power (80, 240, 400 W); compared with the convection drying process using hot air when the product reaches the same humidity ≤ 5.0%. The results show that vacuum pressure and microwave power have an effect on the total sugar content and protein content of the sample after drying. The maximum total sugar and protein contents were 13.46 g /100 g of dry material and 3.27 g /100 g of dry material, respectively, under the conditions of 80 W microwave power, 85 kPa vacuum pressure and 20 min drying time. The total sugar and protein loss of the purple sweet potato sample dried by vacuum microwave was lower than that of the sample dried by forced convection with hot air with a significant difference (p ≤ 0.05).
Nghiên cứu mô hình tham số biểu diễn rủi ro khi thi công công trình hố đào sâu trong khu vực đô thị ở Việt Nam
Authors: Loan Lê Thị Phương , Hà Lê Hồng , Thoan Nguyễn Ngọc , Đức Nguyễn Anh
Published: January 2025

Bài báo đề xuất  một mô hình tham số để đánh giá rủi ro các công trình thi công hố đào sâu tại các khu vực đô thị ở Việt Nam. Mô hình tham số này tích hợp 12 yếu tố rủi ro chính trong đó có mất ổn định và sụp nền đất, nước ngầm xâm nhập, hư hỏng các công trình lân cận và mất an toàn lao động. Mô hình sử dụng các phương trình vi phân ngẫu nhiên (SDEs) để xác định sự thay đổi theo thời gian của từng rủi ro, đồng thời tính đến sự tương tác giữa các rủi ro và tác động của các biện pháp can thiệp. Thiết kế của mô hình cho phép mô phỏng thực tế sự thay đổi của rủi ro, sự giảm dần theo thời gian của các rủi ro khi thực hiện các chiến lược can thiệp hiệu quả và loại bỏ các rủi ro không xảy ra trong thực tế. Thông qua mô phỏng Monte Carlo, mô hình được chạy thử và hiệu chỉnh bằng cách sử dụng dữ liệu thực nghiệm từ các dự án tương tự và kiến thức chuyên gia; các tham số của mô hình - chẳng hạn như ma trận tương tác và các hàm độ biến động - được ước tính từ ý kiến chuyên gia. Các chuyên gia đánh giá mô hình tham số này có khả năng mô hình hoá sự biến thiên của từng rủi ro riêng lẻ cũng như rủi ro tổng thể cho loại công trình thi công hố đào sâu và nhấn mạnh cách tiếp cận tham số này có thể hỗ trợ các nhà quản lý xây dựng trong việc giảm thiểu rủi ro tích lũy, từ đó hỗ trợ ra quyết định chủ động trong phân bổ nguồn lực và lập kế hoạch giảm thiểu rủi ro. Việc kiểm định thông qua dữ liệu tổng hợp chứng minh khả năng của mô hình trong việc dự đoán quỹ đạo rủi ro và cải thiện kết quả quản lý rủi ro trong các dự án đào sâu phức tạp ở đô thị.
Preparation and Characterization of Ink from Hibiscus sabdariffa, Curcuma longa and Sorghum vulgare
Authors:   Department of Chemistry, University of Uyo, Uyo, Nigeria, Ntuen Idara U. , Akpakpan Aniekan Effiong , Enin Godwin , Enengedi Iniobong Sylvester , Uwantta Emaime Jimmy , Nsi Edet William , Udo Itoro E. , Ikpe Edidiong Emmanuel , Akpabio Ukana Davies
Published: January 2025

Hibiscus sabdariffa (Roselle flower), Curcuma longa (Turmeric) and Sorghum vulgare (Guinea corn) are utilised in Nigeria for food and as natural colorants in home industries for dye and beverage production. The study investigates the formulation, characterization, and production of inks from these plant extracts using standard procedures. Inks were prepared from water-based and methanol-based extracts of Turmeric (WTE and MTE), Guinea corn stalk (WGE and MGE), and Roselle flower (WRE and MRE), with Dacryodes edulis exudate serving as a binder of eco-friendly, sustainable and cost-effective stamp pad ink. The raw materials were characterized according to standard procedures. Different ratios of the plant extracts were used to formulate the inks, with the optimal blend selected for stamp pad production. Characterization of the inks were conducted using Fourier Transform Infrared spectrometer (FTIR), Ultra violet/visible (UV/vis) spectrometer, viscometer and pH meter. Results indicated the presence of phytochemicals such as alkaloids, tannins, saponins and flavonoids. The inks exhibited viscosity ranging from 121.06 –313.86 kgm-1s-1, absorbance values from 0.010 – 2.578, and pH levels from 3.1- 6.5. FTIR analysis showed the inks contain chromophores and auxochromes including NO, C=C, C=O, C≡C, and -OH groups. Drying times for the formulated inks varied from 3 –11 minutes, compared to 1-3 minutes for the control ink, with methanol-based formulated inks (MbFI) drying faster than water-based formulated ink (WbFI). The produced stamp pad demonstrated good ink adhesion on paper.
Harnessing Bacillus Species for Antibiotic Discovery: A Review
Authors:   Department of Microbiology and Biotechnology, Federal University Dutse, PMB 7156 Dutse, Nigeria, Abbey Daniel Tunde , Oganija Aisha Tajudeen , Ebube Onyibo Leonard , Ifeanyi Dim Emmanuel
Published: January 2025

The genus Bacillus is a group of rod-shaped, gram-positive bacteria known for their vast potential of the production of antibiotics. This review examines the potentials of various Bacillus species in the production of antibiotics. There is a global threat of antimicrobial resistance and have spurred the need in scientific research for novel antibiotics and Bacillus species offers a ray of hope in the discovery of novel antibiotics. Notable among the antibiotics produced by Bacillus species include fengycin, gramicidin, iturin, polymyxin, subtilin, difficidin, surfactin, megacin, lichenysin, bacitracin, cerein, pumilicin, circulin, each with greater stability and wide spectrum of activity against gram-positive as well as gram-negative bacteria, fungi. This review highlights the various Bacillus species with antibiotics producing abilities such as B. subtilis, B. polymyxa, B. cereus, B. pumilus, B. megaterium, B. circulans, the antibiotics produced by these Bacillus species, mechanisms of actions of these antibiotics, potential application in medicine, agriculture, biotechnology and industry. Bacillus species with antibiotics producing potentials can be applied in combatting the threat posed by antibiotic-resistant pathogens as well as multi-drug-resistant pathogens.
A solution for constructing quantum – resistant digital signature schemes
Authors: Lưu Hồng Dũng  , Nguyen Kim Tuan  , Nong Phuong Trang  , Pham Van Quoc
Published: January 2025

In this article, the authors propose a solution for constructing quantum - resistant digital signature schemes based on a new type of hard problem, which belongs to the group of unsolvable problems. Therefore, the algorithms constructed according to the solution proposed here can be resistant to quantum attacks based on the quantum algorithm proposed by P. Shor. In addition to quantum resistance, the signature schemes proposed here can also be used as pre-quantum digital signature schemes (RSA, DSA, etc.) that are widely used in current practical applications.
A method for bee activities recognition from videos captured at the beehive entrance
Authors: Le Nhung , Phan Thi-Thu-Hong , Le Thi-Lan
Published: January 2025

Honeybees play an important role in the ecosystem and agricultural economy. To maintain and develop healthy bee colonies, monitoring and recognizing bee activities at the beehive entrance is necessary. In this research, we extend the method in [6] to track and recognize the flight-in and flight-out activities of both pollen-bearing and non-pollen-bearing bees in videos recorded at the beehive entrance. To achieve this goal, a framework consisting of bee detection, bee tracking, and bee activity recognition is proposed. In the first step, to address the imbalance between the number of pollen-bearing and non-pollen-bearing bees, we employed a detection method combining YOLOv5 and the focal loss function. Subsequently, in the tracking step, based on the detection results of the first step, two OC-SORT-based trackers were initialized to determine the trajectories of pollen-bearing and non-pollen-bearing bees. Finally, in the activity recognition step, rules are applied to the tracked trajectories to determine the instantaneous activity states of honey bees and to recognize their overall activities. The experimental results show that the detection step obtained an overall precision of 0.972 whereas the tracking step achieved HOTA values ​​of 77.28%, MOTA of 90.09%, and MOTP of 84.98%.
Prueba de diagnóstico temprano para Quiste Hidatídico en alpacas de alta montaña
Authors: Valencia Mamani Nicasio , Vilcapaza Quispe Luz Marina , Reymundo Condor Blas , Quispe Paredes Wiliam , Lizana -Hilario Epifanio , Carrasco Canepa Catherine Charlotte , Carhuapoma-Delacruz Victor
Published: January 2025

El trabajo de investigación tuvo como propósito: desarrollar una prueba de diagnóstico temprano para quiste hidatídico en alpacas mediante la técnica de Enzyme Linked Inmunosorbent Assay (ELISA). Se utilizaron los métodos de electroforesis vertical, métodos serológicos de inmunodifusión de gel y la técnica de ELISA como prueba de diagnóstico. Para este proceso se accedieron a 8 muestras de quiste hidatídico de alpaca, seguidamente se determinó viabilidad de los quistes, observando al microscopio los protoescolisis y ganchos del Echinococcus granulosus. Luego se continuo con la caracterización de proteínas antigénicas, reconociendo al antígeno Ag5 (subunidades 67.72 y 55.44 KDa) y el antígeno AgB (subunidades 24.57, 16.79 y 12.10 KDa).  Para determinar los anticuerpos policlonales anti quiste hidatídico, se inocularon antígenos de alpaca en 2 conejos y la verificación se realizó observando bandas de precipitación en la reacción antígeno-anticuerpo en dilución de 1/16 y concentración de 1.26ug/µL. por el método de inmunodifusión. Al final se utilizó la técnica de ELISA para determinar los anticuerpos contra el quiste hidatídico, obteniéndose una descendida sensibilidad del 13.5% y una especificidad de 57.1%, por reacción cruzada con otras parasitosis por trabajar con antígenos totales. Concluyendo, que se caracterizó los Ag5 y AgB del líquido de quistes hidatídicos de alpacas, se obtuvo anticuerpos policlonales anti-quiste hidatídico en conejos y en la prueba diagnóstica se logró una sensibilidad y especificidad baja.
#40 Radiopharmaceutical Therapy and Dosimetry
Authors: Hobbs Robert F. , O' Donoghue Joe , Clements Jessica
Published: January 2025

Radiopharmaceutical Therapy (RPT) is fast becoming a mainstream modality with the development and approval of new emitters and conjugates. Professionals from the fields of radiation oncology and nuclear medicine are expressing interest in learning the fundamentals of implementing radiopharmaceutical therapy in their clinics. While multiple efforts are underway to add more radiopharmaceutical-specific material to training programs, retrospective training of medical physicists in this discipline is a gigantic unmet need. To meet this need, the AAPM held a comprehensive summer school program in Minneapolis in 2023 on radiopharmaceutical therapy and dosimetry.

These summer school proceedings cover all aspects of RPT, from a comprehensive list of currently approved radiopharmaceuticals and their uses to post-treatment patient release criteria. The program placed a special emphasis on the state of the art in voxelized and organ-level dosimetry for RPT. Presenters gave a description of how RPT could adopt patient-specific, dosimetry-based treatment planning in the near future instead of relying upon a one-size-fits-all dosing approach.

Many of the world’s leading authorities in RPT have contributed chapters for this book. Their insights will be referred to and valued for years to come.
Assessment Techniques Corresponding to Scientific Texts in Commercial Reading Programs: Do They Promote Scientific Literacy?
Authors: Phillips Linda M. , Norris Stephen P. , Smith Martha L. , Buker Jodi , Kasper Chandra
Published: January 2025

This research is part of a larger study of commercial reading programs used in Canada in grades 1-6. The specific purposes of the results reported here were to identify and quantify the assessment techniques suggested for the selections that contain scientific content, to show how the assessments differ by grade, to evaluate the nature and quality of the assessments, and to examine the extent to which the assessments help foster scientific literacy. It was found that the assessments occurred in six major forms and employed about a dozen assessment tools that engage students in nearly 20 tasks. Such variety is endorsed in both literacy and science education position statements. The assessments showed some weak trends by grade, but primarily left the purpose of the assessments to teachers’ judgment. The consequence is that teachers probably will choose the assessments for formative rather than summative evaluation, an approach also endorsed by literacy and science education policy statements. Hardly any of the assessments focused on the specificities of learning to read texts that are scientific such as interpreting descriptions of methods and research findings and thus had limited use in promoting this particular aspect of scientific literacy.
Influence of Role Models and Mentors on Female Graduate Students’ Choice of Science as a Career
Authors: Fried Toni , MacCleave Anne
Published: January 2025

The purpose of this study was to examine the source, nature, and degree of influence of role models and mentors on female graduate students’ choice of science as a career. Also examined was the existence of gender or area-of-study (engineering, biological science, physical sciences) differences. Results of a factor analysis of the Influence of Others on Academic and Career Decisions Scale (IOACDS, Nauta & Kokaly, 2001) demonstrated that role models and mentors influenced students in distinct ways. Significant gender, area-of-study, and undergraduate country differences were found.
Robustness of Lord’s Formulas for Item Difficulty and Discrimination Conversions Between Classical and Item Response Theory Models
Authors: Dawber Teresa , Rogers W. Todd , Carbonaro Michael
Published: January 2025

Lord (1980) proposed formulas that provide direct relationships between IRT discrimination and difficulty parameters and conventional item statistics. The purpose of the present study was to determine the robustness of the formulas beyond the initial and restrictive conditions identified by Lord. Simulation and real achievement data were employed. Results from the simulation study indicate that the item discrimination parameters were recovered quite well for low to moderately discriminating items regardless of ability distribution, and the difficulty parameters were recovered quite well for the range typically found for achievement tests. Results of the real data were consistent with those found for the simulation study.
The Canadian RMB Trading Centre: A Small Step in the Long Road of China’s Peaceful Rise in International Financial Markets
Authors: Curtis John M.
Published: January 2025

China is on the road to becoming a powerful force in global ﬁnancial markets; statistics suggest that already some 20 per cent of the world’s trade ﬁnance is currently conducted in the country’s currency — the yuan, or renminbi (RMB). That is a twentyfold increase in just ﬁve years. Canada has shrewdly connected its own ﬁnancial system to that of China’s, well before many other countries, in securing permission from China to host one of the world’s few renminbi trading hubs. The creation of these trading hubs is an important milestone for China in the long process of the internationalization of its currency. Hosting such a hub is an important milestone for Canada, in that it can help further the increase in bilateral trade and investment, the expanding exchange of businesspeople and students, and the official presence on the ground on the part of both countries’ governments. A key beneﬁt of the creation of an RMB trading centre in Canada is that it will enable Canadian ﬁnancial institutions to develop a capacity to trade, and an expertise in trading, Chinese currency for non-Chinese ﬁnancial instruments (such as stocks, bonds, etc.), and converting Canadian currency into Chinese investments. While this may seem straightforward, given the fact that so many different currencies are exchanged freely on global markets each day, the renminbi is unique in the fact that it has been a highly controlled, largely inaccessible currency. That has historically hampered its liquidity and added much more risk than is the case with other major currencies. Canada’s RMB trading hub will reduce those difficulties and risks. Just as signiﬁcant, however, is the symbolism of Canada’s new hub (which, really, is just a virtual hub, comprised of computer systems, rather than a physical office or trading ﬂoor). The designation of Canada as host to an RMB centre — one of just nine in the world, and the only one in North America — was the result of several years of co-ordinated and co-operative advocacy on the part of Canadian businesses and governments who recognized its future importance. And it is a more important step forward in Canada-China bilateral relations than it has perhaps been given credit for. As China marches towards internationalization and liberalization, Canada has positioned itself well as an early partner in that progress. The RMB trading centre might be just a small step, but it is a vital one, in ensuring that Canada remains closer to, and more connected to, China as it emerges as a powerful global force in the world’s ﬁnancial markets.
Infrastructure, Attitude and Weather: Today’s Threats to Supply Chain Security
Authors: Blank Stephen
Published: January 2025

The global economy can be viewed today as a myriad of border-crossing supply chain networks of production, supply, distribution and marketing systems. Given the enormous value embodied in these systems, and an environment increasingly characterized by uncertainty and vulnerability, it is not surprising that concern about supply chain security has intensified. Concern takes many forms. For example, how supply chains might be used as vehicles for criminal activity (smuggling, trafficking of narcotics and importing counterfeit goods) or acts of terrorism (radio-active materials, bombs, even nukes in containers). Technology-based threats to supply chains, such as cybercrimes, data breaches and IT failures, now appear more frequently in the literature on supply chain security. These threats could result in substantial disruption to supply chains and damage to companies and their customers.Clima But larger storms are brewing, whose menace to supply chain security is greater still – and where actions to protect supply chains move more slowly. These include the continued deterioration of transportation infrastructure, a new posture on trade which views supply chains as threats to jobs and wages, and the impact of climate change. These threats do not lie off in the distant future; they are threats of today and tomorrow.
The Very Poor and the Affordability of Housing
Authors: Kneebone Ronald D. , Wilkins Margarita (Gres)
Published: January 2025

A considerable momentum has developed around the perceived need for a national affordable housing strategy. The design of any such strategy should recognize who is in need, the size of the need, and where that need is greatest. This report presents facts on the affordability of housing for those at risk of the most serious form of housing crisis, namely, the threat of homelessness. The facts span the period 1990-2014 to better understand if housing affordability is a new issue or one of long-standing. The facts identify the affordability of housing in each of Canada’s nine largest urban centers because national averages have little relevance for describing housing markets that are decidedly local. The facts focus on the affordability of the lowest-cost housing available to the very poor and identify the affordability of housing for different family compositions and for different types of accommodations. These facts show that the affordability of housing for the very poor is not, and has not always been, uniformly bad in all cities and for all family compositions. In some cities and for some family compositions however, the affordability crisis has been very serious and prolonged and shows little sign of abating. Any housing strategy must recognize these facts and needs to target support to those most in need.
Municipal Revenue Generation and Sprawl: Implications for the Calgary and Edmonton Metropolitan Regions Derived from an Extension of “Causes of Sprawl” (Technical Paper)
Authors: McMillan Melville
Published: January 2025

There are good reasons to expect that attributes of local public finance may impact urban land use and, specifically, sprawl. A detailed and novel investigation of U.S. metropolitan areas published in 20061 provides substantial insights into the causes of sprawl, but it overlooks the main characteristics of local public finance (taxes and user charges). Using a subset of the data matched to city public finance data, a parallel analysis gives insight into the impacts of local public finance on sprawl. There is evidence that greater reliance on local property taxes reduces sprawl. The evidence that user charges (primarily for water, sewerage and solid waste services) could have a similar effect is weak but suggestive. The combined effects of a high reliance on property taxes and user charges (compared to typical levels) might reduce sprawl by as much as one-third. For Calgary and Edmonton, this means that the current heavy reliance on property taxes in both cities reduces sprawl and that the adoption of alternative local taxes—that reduce reliance on property taxes—is expected to increase sprawl. Further analysis of the impacts of local public finance on urban sprawl is warranted.
EDUCAÇÃO EM SAÚDE
Authors: Panosso da Silva Luciano , Cerutti Elisabete
Published: January 2025

O foco deste trabalho foi revisar a literatura acadêmica acerca do tema Educação em Saúde, dando ênfase às Tecnologias Digitais, principalmente aplicativos para smartphones, chamados APPs. A pesquisa abrangeu estudos acadêmicos, teses e dissertações produzidos no Brasil entre os anos de 2010 e 2021. A busca foi realizada na Biblioteca Digital de Teses e Dissertações e no Catálogo de Teses e Dissertações da Capes. No total, foram localizados 989 trabalhos que, ao aplicar os critérios de exclusão e os títulos repetidos restaram 121 trabalhos. Destes, 28 trabalhos foram lidos e incluídos, 22 dissertações e 6 teses. Os resultados mostram que existem diversos programas de pós-graduações, principalmente no Sudeste e Sul do Brasil, preocupados em estudar e respaldar cientificamente os APPs voltados para a área da Educação em Saúde.
Reflexões acerca do processo de ensino e aprendizagem voltado à competência leitora nos anos finais do ensino fundamental
Authors: Barbosa Nogueira Deise Barbosa , Antônio Rodrigues Lucilo Antônio
Published: January 2025

A educação vem passando por profundas transformações, no caso brasileiro desde a Constituição Federativa de 1988, em que vem sendo disseminado nos sistemas educacionais o ensino por competências. Organizações internacionais têm influenciado neste cenário e o Brasil tem adequado suas leis e normativas para uma educação nesta perspectiva. Essas competências estão ligadas à pretensão em dar funcionalidade ao que se aprende, e neste contexto, é preciso refletir sobre o fato de que a leitura atua na formação do ser humano, porém muitas das vezes é interpretada apenas como uma exigência da escola, e diante dessa visão utilitarista da educação por competências, centra-se na finalidade de avaliar os estudantes, e em muitos casos, meramente para levantamentos de índices. Nessa perspectiva, o objetivo deste estudo é dialogar a respeito do processo ensino e aprendizagem baseado na Competência Leitora nos Anos Finais do Ensino Fundamental. Para tanto, metodologicamente, o estudo foi desenvolvido por meio da Revisão de Literatura. Diante das reflexões, compreende-se que o processo de ensino e aprendizagem para o desenvolvimento da leitura precisa ser coerente e produtivo na escola, pois pode tornar-se algo que provoca desmotivação no estudante. Isso traz muitos prejuízos, e nos Anos Finais do Ensino Fundamental acaba refletindo de maneira negativa, uma vez que, os alunos podem perder o encanto pela leitura, deixando de ler. Nessa fase do ensino os estudantes realizam avaliações externas que medem a competência leitora e o Brasil não tem apresentado uma realidade satisfatória, assim, são necessárias mudanças neste cenário.
O ensino de gestão de projetos nos cursos de graduação em engenharia civil no Brasil: comparativo entre 2018 e 2023
Authors: Rodrigues Paula de Melo , Brito Guedes Ricardo , Hanson Costa Dennis
Published: January 2025

O gerenciamento de projetos tem se consolidado como uma metodologia essencial para a gestão de empreendimentos em diversas áreas, incluindo a construção civil. Este estudo teve como objetivo avaliar o alinhamento entre a formação profissional do engenheiro civil e as demandas do mercado de trabalho em termos de gestão de projetos, cinco anos após a identificação de uma lacuna nesse alinhamento em 2018. A metodologia consistiu na análise das grades curriculares de cursos de graduação em engenharia civil no Brasil, com foco na inclusão de disciplinas de gestão de projetos. Os resultados indicam que a lacuna identificada diminuiu significativamente, a concentração regional relativa da oferta dessa disciplina foi ligeiramente reduzida e que a concentração em Instituições de Ensino Superior (IES) privadas não é mais predominante.
A inteligência artificial na comunicação educacional e publicitária: impactos e estratégias
Authors: De Moraes Géssica Cereta de , Knoll Graziela Frainer , Ghisleni Taís Steffenello
Published: January 2025

A inteligência artificial (IA) tem se mostrado uma ferramenta cada vez mais importante em diversas áreas, incluindo a comunicação. A pesquisa tem como objetivo explorar como a inteligência artificial pode contribuir para melhorar e agilizar os métodos e técnicas utilizadas na área da comunicação, contribuindo para a promoção de uma educação de qualidade. A metodologia baseia-se na análise de conteúdo proposta por Bardin (2006) tem natureza qualitativa.Os resultados mostram que os estudos focam principalmente na aplicação da IA fraca, eficiente em tarefas específicas. No entanto, surgem perspectivas para a IA geral, que visa imitar amplamente o comportamento humano. Essa evolução levanta questões éticas, legais e de segurança. Então, é essencial abordar criticamente a aplicação da IA para maximizar benefícios e reduzir riscos à medida que a tecnologia avança e se integra à sociedade.
Evaluation of Concrete Strength with Enhanced Permeability Using Polystyrene Beads
Authors:   Indira College of Engineering (Department of Civil Engineering), Jangale Savita , Kadam Tushar , Mhaske Aniket , Gaikwad Anushka
Published: January 2025

Pervious concrete, also known as permeable or porous concrete, is an innovative construction material designed to facilitate water drainage and reduce surface runoff. Unlike traditional concrete, which is dense and impervious, pervious concrete features a high void content, allowing water to flow through its surface and into the underlying soil. This unique property makes pervious concrete an effective solution for managing stormwater, reducing flooding risks, and improving groundwater recharge. It is commonly used in applications such as parking lots, sidewalks, driveways, and roadways, where it helps mitigate issues related to water accumulation and erosion.

.

Key Words: Pervious concrete, permeable concrete, porous concrete, water drainage, surface runoff, void content
Multi Sign Language Recognition
Authors:   HOD, Department of Computer Engineering Sandip Institute of Engineering and  Management, Nashik,, India., Nalavade Dr. Kamini , Baviskar Dr. Pallavi , Katiyara Mayank , Paighan Hitesh , Chaudhari Devendra , Gosavi Sanketgir
Published: January 2025

The deaf and hard-of-hearing community often experiences communication barriers due to people who are not well-versed in the use of sign language.[1] This project would address this problem by developing an all-embracing machine learning (ML) model which would be able to interpret and translate the hand movements of American Sign Language (ASL) and Indian Sign Language (ISL) into corresponding spoken or written language in real time.[2] In using data from cameras, the system is designed to precisely predict and translate gestures both ASL and ISL. The solution integrates Natural Language Processing for context-aware translations and hence lets the system interpret the surrounding context for more meaningful and accurate implications. Moreover, the final project will explore the utilization of advanced Gesture recognition technologies, which might include the deep learning models and recurrent neural networks, shall enhance the system's accuracy as well as adaptability.[3] Data input multimodality will enhance gesture recognition: examples include skeletal tracking and hand shape analysis. User-friendly interface; it will be made possible for the users to interact with customization options of settings, preferences, including but not limited to language voice options.[6]

Moreover, the project includes the potential for integration with other assistive technologies, such as speech-to-text devices and AR equipment among others, to provide a comprehensive communication assistant.

At the end of it all, this project would empower the deaf and hard-of-hearing community by ensuring effective communication between the hearing population and the deaf and hard-of-hearing, social inclusion and access. The solution will be plentiful in schools, the workplaces, and public services, so all will be provided with the potentially useful tool of increasing accessibility and understanding.