bluuebunny/crossref_metadata_2025 huggingface dataset:
Marketing Communication Strategy for yeoboseyo.id: a Case Study in K-Pop Fashion Brand
Authors: Prakoso Galung , Gaby Swastika
Published: October 2024

The continuous growth of internet users in Indonesia since 2012 has had an impact, particularly on the use of social media. In 2023, 60.4% of the population in Indonesia was using social media. Instagram and TikTok are widely used for social networking and business marketing, including by the clothing brand Yeoboseyo.id. This study aims to examine the marketing communication strategies of Yeoboseyo.id from September 2023 to February 2024, using a quasi-qualitative method with semi-structured interviews and triangulation techniques for data validity. The results show that Yeoboseyo.id utilizes a marketing communication mix, including advertising on social media, conducting sales promotions by providing vouchers, freebies, and giveaways, and implementing public relations to maintain brand reputation. They also engage in personal selling to build consumer trust and direct marketing through one-step and two-step approaches to increase sales and maintain relationships with consumers. The conclusion of this study is that Yeoboseyo.id has effectively implemented its marketing communication strategy; however, there are still some areas that are not fully optimized, including the use of below-the-line promotion channels and the implementation of personal selling.
Agrometeorological modeling to estimate soybean productivity in the Southern Cone of Rondônia
Authors: Duarte Gustavo , Crestani Mota Marcelo , Paz Peterson
Published: October 2024

Agrometeorological modeling is crucial to predict the impact of climatic conditions on agricultural production. However, its application in large regions faces challenges due to the lack of weather stations and limited access to real-time data. In this study, the multiplicative agrometeorological model was used to estimate soybean productivity in the seven municipalities of the Southern Cone of Rondônia in the 2020/21 to 2022/23 harvests. This model considers the relationships between actual and potential evapotranspirations and water conditions during different phenological stages. Ten-year water balances were developed for each municipality, using air temperature data from ERA5-Land from the ECMWF and precipitation data estimated by NASA’s GPM_v06 satellite. The results showed satisfactory performance of the model, with coefficients of determination ranging from 0.48 to 0.88 and agreement indices from 0.41 to 0.90 compared to the data observed by IBGE.
Unplanned Excision of Soft Tissue Sarcoma The Impact of Residual Disease in Re Excision Specimen
Authors: Julien Montreuil , Moses Markowitz , Kholodovsky* Eric , Torralbas Fitz Sergio Jose , Dominic Campano , Erik Geiger , Francis Hornicek , Brooke Crawford , Thomas Temple H
Published: October 2024

Background: This study aims to assess the oncologic outcomes of unplanned versus planned excision in patients with high-grade soft tissue sarcoma. Methods: A retrospective review was conducted, including 147 patients surgically treated for non-metastatic high-grade soft tissue sarcoma at a single institution between 2010 and 2021. Perioperative, clinical, and surveillance data were collected. Outcomes were compared between patients with unplanned (n = 53) and planned (n = 94) excisions. Multivariate analyses controlled for tumor characteristics and adjuvant therapies. Results: The cohort included 53 patients treated with unplanned excision and 94 patients with planned excision, with a mean follow-up of 65.3 months postoperatively. Demographic variables, tumor size, type, histological grade, and margin status were statistically comparable between the planned and unplanned excision groups based on univariate analysis. Unplanned excisions were associated with significantly higher rates of local recurrence (39.6% vs 7.4%, p < 0.001) and metastasis (18.9% vs 5.3%, p = 0.009) compared to planned excisions. On multivariate analysis, planned excision conferred a decreased risk for local recurrence (HR 0.12, 95% CI 0.05-0.31, p < 0.001) and metastasis (OR 0.22, 95% CI 0.05-1.02, p = 0.05). Final positive margins were strongly associated with local recurrence (HR 18.26, 95% CI 6.80-48.99, p < 0.001). Over 90% of re-excision specimens after unplanned excision contained residual disease. Patients with microscopic or macroscopic disease identified in the re-excision specimen had a 42% and 44% risk of local recurrence, respectively, in comparison to those patients with no residual disease identified as having no incidence of local recurrence. Conclusion: This study highlights the importance of a proper primary excision by an orthopedic oncologist for patients with high-grade soft tissue sarcoma. Unplanned excisions often result in tumor beds with either gross or residual microscopic disease and have a significantly increased risk of local recurrence, distant metastasis, and shortened survival.
Strategies beyond Decellularization for Optimal Tissue Engineering of Cardiac Xenografts
Authors: Kim So Young , Kim Gi Beom , Lim* Hong Gook , Kim Yong Jin
Published: October 2024

The immunogenic carbohydrates, known as xenoantigens such as the Galα1-3Gal (α-Gal) epitope, and the non-human sialic acid N-glycolylneuraminic acid (Neu5Gc), play a major role in the immune response to xenotransplantation. Optimal decellularization protocols and strategies beyond decellularization are essential to eliminate xenoimmunogenicity. The aim of this study was to evaluate the safety and efficasy of our novel decellularization protocol and carbohydrase such as Peptide N-Glycosidase F (PNGase-F) for the removal of xenoantigens. We investigated the biomechanical properties, and efficacy for xenoantigen removal through expression of carbohydrate-binding lectins in porcine pericardium decellularized and treated with PNGase-F. Our novel decellularization protocols using 0.25% SDS + Triton X-100 through the multi-step methods with hypotonic, isotonic and hypertonic buffer solution demonstrated complete decellularization without histological changes. There were no histological changes depending on PNGase-F treatment concentration (0~2 unit/ml). There were no significant differences in tensile stress, tensile displacement, tensile strain at break, and permeability tests among porcine pericardia treated with different concentrations of PNGase-F. PNGase-F-treated porcine pericardium was stained with Jacalin, MAL I, WGA, RCA, GSL, ECA, PNA, SBA, WFA, and DSL, and showed lower fluorescence than native pericardium. PNGase-F treatment also resulted in a significant inhibition of lectin binding levels in a concentration-dependent manner. The fluorescent signal of decellularization effectively decreased lectin expression. Additional PNGase-F treatment for decellularization significantly reduced lectin expression without differences in PNGase-F concentration, demonstrating the synergistic effect of decellularization and PNGase-F. In conclusion, our novel decellularization protocols combined with PNGase-F treatment effectively removed the carbohydrates-associated xenoimmunogenicity and maintained biomechanical stability for cardiac xenografts. Our strategies beyond decellularization for optimal tissue engineering of cardiac xenografts can improve the biocompatibility of the graft.
ШКАЛЫ PIRO И SAPS ДЛЯ ПРОГНОЗА ИСХОДА ЗАБОЛЕВАНИЯ У КОШЕК
Authors: Лаптев Сергей , Павлович Василий
Published: October 2024

Надежное прогнозирование сепсиса является важной клинической проблемой в медицине и ветеринарии из-за высокой заболеваемости и смертности от осложнений сепсиса. Изучая этиологию септических осложнений при панлейкопении кошек, мы адаптировали диагностические шкалы PIRO и SAPS, предложенные для оценки прогноза сепсиса в клинической ветеринарии. Многоэтапная оценка клинического состояния животных позволяет выявить животных с повышенным риском осложнений на ранних стадиях септического процесса и прогнозировать его летальность, правильно оценить состояние животного и оптимизировать терапевтическую стратегию для септических животных. Прогноз исхода септических осложнений при панлейкопении кошек был основан на изучении историй болезни 10 кошек с диагнозом панлейкопения, зарегистрированных при поступлении животных в стационар. Подтверждение вирусного заболевания основывалось на клинических признаках болезни - апатии, рвоте, диарее, морфологическом и биохимическом анализах крови, положительном ПЦР-тесте на вирус панлейкопении кошек. Исследование проводилось на кафедре эпизоотологии и организации ветеринарного дела Московской государственной академии ветеринарной медицины и биотехнологии – МВА имени К. И. Скрябина. Статистическую значимость прогноза оценивали с помощью корреляционно-регрессионного анализа показателей в связке (Баллы PIRO–Исход заболевания; Баллы SAPS–Исход заболевания; Баллы PIRO–Баллы SAPS). Рассчитанные параметры прогностической модели исхода заболевания у кошек с диагнозом панлейкопения на 86,1% объясняют достоверную зависимость от количества баллов по шкале PIRO при первичном обследовании животных.  Достоверная зависимость баллов по шкале SAPS при первичном исследовании составляла 42,3%, которая увеличилась до 58,1% на 3-й день заболевания. Повышение достоверности прогноза в последующие дни заболевания позволяет использовать данные шкалы SAPS для модификации тактики и стратегии лечения.
ҚЫЛШЫҚ ЖҮНДІ ҚҰЙРЫҚТЫ ҚОЙЛАРДЫҢ СЕЛЕКЦИЯЛЫҚ БЕЛГІЛЕРІНІҢ ГЕНЕТИКАЛЫҚ ПАРАМЕТРЛЕРІ
Authors: Муканова Ляззат , Садықұлов Тулеухан , Малмаков Нурлан , Адылканова Шолпан , Койшибаев Азамат
Published: October 2024

Ауылшаруашылық малдарының жеке генетикасының маңызды мәселелерінің бірі-экономикалық пайдалы селекциялық белгілер арасындағы байланысты орнату. Сонымен қатар, байланыстардың мөлшері мен бағыты белгінің сипатына, селекцияның қарқындылығына және малдардың генотипіне байланысты болады. Осы тұрғыдан алғанда, еділбай қой тұқымының саулығын гиссар қойының қошқарымен шағылыстыру арқылы алынған бірінші ұрпақтардың селекциялық белгілерінің генетикалық параметрлерін зерттеудің маңызы зор және де бұл осы жұмыстың өзекті мәселесі болып саналады. Генетикалық-математикалық әдіс мал популяциясындағы, табынындағы   селекциялық үрдісті талдау жасауға мүмкіндік береді, сонымен бірге белгілерге және малдардың өнімділік қасиетіне генотиптің және қоршаған ортаның әсері бағаланады. Ауыл шаруашылығындағы селекция нәтижелерін тұқым қуалаушылық (һ2), белгілердің қайталануы (rb), селекциялық белгілердің өзара байланысы (r), селекциялық дифференциал (SD), регрессия (R), селекциялық тиімділік (SE) сияқты параметрлер арқылы анықталады.
«Байсерке Агро» ОҒӨО мал шаруашылығының әр түрлі генотипті қылшық жүнді құйрықты қойларының генотиптік өзгергіштігі белгілерінің арасын және өзара байланысын анықтауға бағытталған ізденістер қазіргі селекцияда үлкен өзектілікке ие және ғылыми-практикалық маңызы бар, өйткені зерттеу нәтижелерін қолдану малдарды бағалауға қажетті уақытты қысқартуға, оның қарқынын айтарлықтай жеделдетуге көмектеседі.
Analysis of Affecting Factors to Patient Safety Incident at Mitra Medika Amplas Hospital
Authors: Novitalia Anak Agung Sagung Dewi , Fitriani Arifah Devi , Syafitri Ramadhani
Published: October 2024

The study aimed to analyze factors that influence incident safety patients at Amplas Mitra Medika Hospital. Study This nature quantitative and use design cross sectional. Research done with give questionnaire to 72 nurses the executor taken with technique p roportionate stratified random sampling from a total population of 258 nurses. The data collection method used primary and secondary data which were analyzed using regression test logistics. Research result show that culture (p-value 0.008 < 0.05), condition work (p-value 0.002 < 0.05), and action No safe (p-value 0.007) < 0.05) has an effect significant to incident, while supervision (p-value 0.999) > 0.05) no influential to incident in a way partial. Analysis multivariate show There is influence significant from condition work and action No safe to incident in a way simultaneous with influence as big as 33.2%. The most dominant factor influential in the regression model is action No safe. Research conclusion This is factor culture, conditions work, and action No safe influential to incident, while factor supervision No influential. Research results expected can become considerations and input for House Sick For more optimize condition supportive work quality performance nurse, lower action No safe in giving care nursing to patient through improvement training, and developing culture safety patient through ambassador culture in effort prevent incidents and increase safety patient at home Sick.
Drug and Vaccine Extractive Text Summarization Insights Using Fine-tuned Transformers
Authors: Bandaru Rajesh , Radhika Y.
Published: October 2024

Text representation is a key aspect in determining the success of various text summarizing techniques. Summarization using pre-trained transformer models has produced encouraging results. Yet the scope of applying these models in medical and drug discovery is not examined to a proper extent. To address this issue, this article aims to perform extractive summarization based on fine-tuned transformers pertaining to drug and medical domain. This research also aims to enhance sentence representation. Exploring the extractive text summarization aspects of medical and drug discovery is a challenging task as the datasets are limited. Hence, this research concentrates on the collection of abstracts collected from PubMed for various domains of medical and drug discovery such as drug, COVID, etc.with a total capacity of 1,370 abstracts. A detailed experimentation using BART (Bidirectional Autoregressive Transformer), T5(Text-to-Text Transfer Transformer), LexRank and TexRank for the analysis of the dataset is carried out in this research to perform extractive text summarization.
VIOLATIONS OF FREEDOM OF CONSCIENCE AND RELIGIOUS BELIEF: CRIMINAL ASPECTS
Authors: Efremova Irina Alekseevna
Published: October 2024

ntroduction: this article examines the criminal aspects of the violation of the right to freedom of conscience and religion. It analyses the object of the crime, the objective side, the subject of the crime and the subjective side.

Materials and Methods: in addition to the universal method of cognition, universal scientific and special scientific methods were employed, with a particular focus on the statistical method, system-structural analysis, and analytical survey.

Results: this study presents the positions of the legislator and scientists regarding the elements of the corpus delicti provided for in Article 148 of the Criminal Code of the Russian Federation. Furthermore, it highlights the public danger posed by violations of the right to freedom of conscience and religion.

Discussion and Conclusions: the author concludes that the low number of cases recorded under Article 148 of the Criminal Code of the Russian Federation suggests a lack of clarity among law enforcement officers regarding the criminalising signs of this composition of a criminally punishable act. This is due to the disparate judgments of scientists and the dearth of ongoing research on the mandatory signs of a violation of the right to freedom of conscience and religion, which results in a high latency of this act. However, the application of Article 148 of the Criminal Code of the Russian Federation is essential in a multinational and multi-confessional society. Consequently, it is vital to provide a consolidated definition of freedom of conscience and religion and to determine which acts can be attributed to actions expressing obvious disrespect for society in the note to Article 148 of the Criminal Code of the Russian Federation.
CRIMINAL ASPECT OF PUBLIC TELECOMMUNICATIONS NETWORKS CRIME AND SOCIAL ENGINEERING PREVENTION
Authors: Zotina Elena
Published: October 2024

Introduction: the author discusses certain features of public telecommunications networks and social engineering crimes.

Literature review: the author studied the works of M.M. Babaev, I.R. Begishev, R.I. Dremlyuga, M.A. Efremova, S.I. Ivantsov, Y.E. Pudovochkin, E.A. Russkevich, N.Y. Skripchenko, S.N. Titov and others on preventive criminalization and increasing criminal liability for public telecommunications networks crimes.

Materials and Methods: general and specific methods of scientific conception (dialectical, legal, system and structure methods and content analysis) formed the methodology of the study. Strategic planning documents, federal laws dealing with the subject under study, as well as publications in public domain (Mass media) were empirical research.

Results: the author concludes that criminal prevention of these types of crimes is an integral part of the common criminal policy of the legislature aimed at the proper protection of information security. The author also considers scientific positions of the perspectives on the criminalization of information and telecommunications technologies and AI technologies used in fraud. The author believes it is inappropriate to introduce a qualifying characteristic “with the use of public telecommunications” to the crimes of fraud while applied artificial intelligence technologies contribute to the criminal transformation of social engineering attacks, increases the threat to society making them more massive yet personalized which makes it appropriate to criminalize these technologies in the commission of criminal offences.

Discussion and Conclusions: it is proposed to amend the criminal legislation in terms of additions to the differentiation model of criminal responsibility with a new qualifying element “committing a crime using artificial intelligence technology”. The author suggests to introduce the element to Articles 159, 1593, 1596 of the Criminal Code of the Russian Federation, as well as to add “committing a crime using artificial intelligence technology” to the list of aggravating circumstances established by Article 63 of the Code.
Product liability in modern conditions: European reform experience
Authors: Stepanov S. K.
Published: October 2024

At the end of September 2022, the European Commission presented two notable documents designed to fundamentally change the current system of product liability in Europe. In part, these projects were a response to the challenges posed by digitalization and modern technology. The first document is designed to regulate liability for harm caused by artificial intelligence systems, while the second is aimed at adapting the EU Council Directive of July 25, 1985 No. 85/374/EEC to contemporary conditions. The present article sets out to review the key developments in the field of product liability in Europe. To this end, a review of the existing system of product liability in Europe is carried out. The existing product liability system is comprised of two parts: norms enshrined in national laws, as well as harmonized liability under the EU Council Directive of July 25, 1985 No. 85/374/EEC 1985. However, there is no consensus in European doctrine and practice regarding the regime of harmonized liability. While on the one hand, this regime is based on the idea of strict liability, on the other hand, there is also a reasoned opinion that the Directive factually establishes a regime of liability based on fault. On the example of German law, it is revealed that, despite the strict liability regime approved by special law, courts often focus in practice on a manufacturer’s breach of the duty of care, which once again testifies to liability based on fault. Possible factors behind the decision on the part of the European regulator to reform the existing liability system include: the increasing complexity of the goods themselves; the expansion of intermediary chains and emergence of new potential subjects of liability, including owners of aggregators; difficulties in proving the existence of a product defect and a causal link between such a defect and the resulting harm; the concept of harm in the digital age and the special role of data; providers’ liability for goods equipped with artificial intelligence technology.
The problems of adapting Antitrust Law to the digital economy
Authors: Vornikova E. D.
Published: October 2024

In connection with the Fifth Antimonopoly Package, the author analyzes the effectiveness of new competition law. The aim of the research is to identify the legal and economic consequences of including the term “network effect” and special legal structures for abuse of a dominant position in digital markets in Russian legislation. The study is based on Russian and foreign legislation, materials from judicial practice, and scientific research. The new rules make it possible for the existing legal regulation on the protection of competition to be applied to the phenomena of the digital economy. However, in the digital sectors, prohibiting the abuse of a dominant position contributes to strengthening the dominance of platform operators and the formation of a digital monopoly. This is not entirely consistent with the goals of antitrust regulation. With the consolidation in the provisions of Russian law of the principle of technological neutrality, as well as the design of a public contract, the strengthening of the dominance of platform operators may be restricted. A consequence of the lack of unified terminology in the Fifth Antimonopoly Package and legislation on digital platforms is the unreasonable limitation of the subject composition of the prohibition of abuse of a dominant position in digital markets. The Fifth Antimonopoly package applies to the activities of marketplaces and aggregators, but does not extend to digital ecosystems and digital services in the format of applications, cloud storage, social networks, search engines, streaming services, among others. This limitation will be overcome by applying the general rules on the prohibition of monopolistic activities and unfair competition to digital ecosystems and digital services. The author draws attention to a number of practical problems in applying dominance criteria to the activities of digital intermediaries, focusing on their business model. Conclusions are drawn about the advisability of expanding the subject composition of relations regulated by the new special rules of the Fifth Antimonopoly Package. Legal means are also proposed aimed at ensuring a balance of interests of the dominant digital platform operators and users.
Die Phänomenologische Methode
Authors: Rehding Fynn-Merlin , Worreschk Johannes C.
Published: October 2024

Phänomenologie ist der Oberbegriff für eine vielfach ausdifferenzierte philosophische Strömung, die sich mit Erlebnissen von Erscheinungen befasst. Phänomenologische Untersuchungen
richten sich darauf, die den Erlebnissen von Erscheinungen zugrunde liegende Vernunft ans Licht zu bringen.
A Study to Assess the Effectiveness of Video Assisted Teaching on the Knowledge and Practice Regarding ECG among Student in Selected Nursing School of Greater Noida
Authors: Kumar Hemant , Kumari Muskan , Francis Albin , Kumari Preeti , Kumar Mahato Satish , Manisha KM , Kumar Singh Utkarsh , . Seema
Published: October 2024

An electrocardiogram (ECG) is simply one of many tools that medical professionals can use to evaluate heart function. The ECG is a highly technical and specialized diagnostic approach that is widely employed in modern healthcare; nonetheless, it does not provide a comprehensive evaluation of the heart. The present study aims to assess the effectiveness of video-assisted teaching on the knowledge and practice regarding EG among students in the selected nursing school of Greater Noida. objective: To find out the association between knowledge and practice (pre-test and post-test) among nursing students. To determine the impact of a video-assisted teaching programme on ECG among student nurses Quantitative research approach was adopted and a quasi- experimental between demographical data and a knowledgeable questionnaire on ECG. Methods: The target of this study is to provide knowledge on ECG. The sample size is 100 (hundred), and data analysis was done on the basis objective and hypothesis of the study. Results: The obtain was analysed based on objective and hypothesis using frequency and percentage of the data is p<0.05 level of significance the majority 34.5% of the participants poor level of knowledge, 34.5% had an average level of knowledge, 30% had a good level of knowledge
A Decision Framework for Enhancing Adhoc Network Stability and Security
Authors: Ranjan Rahul , Prasad Yadav Ram Keshwar
Published: October 2024

A Decision Framework for Enhancing Network Stability and Security. In the modern digital era, the growing complexity of networks and increasing frequency of cyber threats demand robust strategies for ensuring network stability and security. This paper proposes a decision framework that integrates real-time analytics, proactive monitoring, and adaptive response mechanisms to enhance network resilience against failures, attacks, and performance degradation. The framework leverages advanced machine learning algorithms, network flow analysis, and security protocols to dynamically adjust to network conditions and mitigate risks .The decision framework operates in two key dimensions: Stability: It focuses on ensuring uninterrupted network performance by optimizing resource allocation, traffic management, and fault tolerance mechanisms. By analyzing network traffic patterns and identifying potential bottlenecks or vulnerabilities, the framework makes proactive decisions to reroute traffic, adjust bandwidth, and prioritize critical data flows.Security: The framework enhances security by detecting potential threats, such as Distributed Denial of Service (DDoS) attacks, unauthorized access, or malware propagation. Using a combination of intrusion detection systems (IDS), firewalls, and behavioral anomaly detection, it identifies threats in real-time and implements automatic countermeasures, such as isolating affected network segments, patching vulnerabilities, or blocking malicious traffic.A key innovation of this framework is its use of multi-criteria decision-making (MCDM) techniques to balance trade-offs between network performance and security in real time. The model continuously evaluates factors such as latency, throughput, and risk exposure to make informed, optimal decisions that ensure both stability and protection. Furthermore, the framework adapts to evolving network conditions using reinforcement learning, allowing it to learn from past incidents and improve its decision-making over time.Simulation results demonstrate that the proposed framework significantly reduces network downtime, improves threat detection response times, and mitigates the impact of security breaches. This decision framework presents a scalable solution for modern, dynamic networks, offering enhanced protection while maintaining high performance in the face of complex challenges.
Bridging the Gap: Assessing and Addressing Training Needs in the Social Communication Ministry of a Religious Institution
Authors: G. Luciano Ruth , B. Sison Rosalie
Published: October 2024

This study evaluates the training needs of the Social Communication Ministry at SNT Cathedral located I Cabanatuan City, focusing on improving the ministry's communication strategies through enhanced ICT competencies. Using a descriptive research approach, a Training Needs Assessment Form was employed to gather data on the ministry members' current skills in areas such as basic computer operations, internet usage, and data management. The respondents, consisting of Junior High School, Senior High School, and College-level participants, were surveyed to determine their proficiency levels and training gaps. The findings revealed a strong interest in multimedia skills, particularly photo and video editing, as well as a need for further training in office productivity tools and maintaining online professionalism. Key areas for development included internet troubleshooting, data security, and health and safety practices. Based on the assessment, a tailored training proposal was designed to address these gaps, aiming to enhance the ministry's overall efficiency and effectiveness in fulfilling its communication and outreach objectives. This study underscores the importance of targeted training programs in community-based organizations to optimize ICT capabilities and advance organizational goals.
The Impact of Academic Qualifications and Professional Training on Procurement Staff Performance in Tanzania: A Case Study of Morogoro Referral Hospital
Authors: Abdul Usanga Abdultwalib
Published: October 2024

This study investigates the crucial role of academic qualifications and professional training in enhancing procurement staff performance at Morogoro Referral Hospital, focusing on their impact across various procurement activities. The study utilizes a mixed research approach and a case study research design. The target population of the study comprised of individuals who are involved in procurement activities at Morogoro Referral Hospital. The sample size was 67 respondents selected through convenience and purposive sampling techniques. Data were collected by using questionnaire and interviews. Quantitative data were analyzed using descriptive statistics, while qualitative data is examined through thematic analysis. The study highlights the essential role of academic qualifications and professional training in boosting procurement staff performance, noting broad agreement on their benefits for foundational knowledge and critical skills such as supply chain management and negotiation. Despite varying levels of agreement on areas like supplier evaluation and risk mitigation, the overall positive impact is clear. It is recommended that organizations invest in targeted training programs to address performance gaps, particularly in risk mitigation and supplier evaluation, and ensure ongoing updates to keep staff current with regulations, technology, and best practices. This approach will enhance procurement efficiency and effectiveness, supporting organizational success.
Assessing the Intersectionality of Language Anxiety and Outcomes for African Learners Writing Examinations in English
Authors: Dladla Celimpilo
Published: October 2024

This study investigated the intersectionality of language anxiety, writing examinations in English, and outcomes for non-English mother-tongue learners in South Africa. The study focused on the impact of these three factors on learner performance and delved into this intersectionality by reviewing the literature on anxiety stemming from writing examinations and the impact of the language medium used in assessing learners. Qualitative document analysis was used to collect and analyse the data for this study. It involved gathering literature from psychology, education, and language studies to reveal a correlation between anxiety, writing examinations, and the Language of Learning and Teaching (LOLT). The study concluded that using English as a medium for examinations can have a negative impact on learners who may not be linguistically competent to express themselves effectively in English, even if they were taught using translanguaging pedagogies. It argued that the true potential and outcomes of learners will only be fully realised through the exam process if they are allowed to write examinations in their mother tongues; and recommended that the Department of Basic Education (DBE) should allow for examinations to be conducted in all official languages for all grades and encourage learners to write examinations in their mother tongues. The only examinations they should be required to write in English are those for English Additional Language, like Afrikaans mother tongue speakers who can write all their examinations in Afrikaans except for English as a subject.

Keywords: Anxiety, English Hegemony, Examinations, Language of Learning and Teaching, Linguistic Injustice
Deep learning-based proactive fault detection method for enhanced quadrotor safety
Authors: Ozcan Mehmet , Perkgoz Cahit
Published: October 2024

The early detection of faults in advanced technological systems is imperative for ensuring operational reliability and safety. While there is a growing interest in using artificial intelligence for fault detection, current methodologies often exhibit limitations in utilizing comprehensive system information and sensor data. Hidden faults within collected data further highlight the need for advanced analysis techniques. This study introduces a novel deep learning-based framework designed to predict faults and extract insights from complex system datasets. The model, consisting of LSTM-autoencoder and BiLSTM classification components, effectively reduces feature dimensions, thereby enhancing fault detection accuracy. The autoencoder’s latent layer identifies prominent features across various dimensions, while BiLSTM classification conducts bidirectional analysis using these features from both healthy and faulty states, facilitating early fault detection. Experimental results demonstrate the model’s efficacy, achieving an accuracy of 79.48% in predicting incipient faults 30 seconds before a serious malfunction occurs. This underscores the significant potential of the proposed framework in enhancing operational safety and reliability in complex systems. Moreover, the study emphasizes the importance of leveraging comprehensive data and advanced analysis techniques for early fault detection.
Formation of WNL Stars in the MW and LMC Based on the k − ω Model
Authors: Si Jijuan , Li Zhi , Li Yan
Published: October 2024

We adopt a set of second-order differential equations (k − ω model) to handle core convective overshooting in massive stars, simulate the evolution of nitrogen sequence Wolf–Rayet (WNL) stars with different metallicities and initial masses, both rotating and nonrotating models, and compare the results with the classical overshooting model. The results indicate that, under the same initial conditions, the k − ω model generally produces larger convective cores and wider overshooting regions, thereby increasing the mass ranges and extending the lifetimes of WNL stars, as well as the likelihood of forming WNL stars. The masses and lifetimes of WNL stars both increase with higher metallicities and initial masses. Under higher-metallicity conditions, the two overshooting schemes significantly differ in their impacts on the lifetimes of WNL stars, but are insignificant in the mass ranges of the WNL stars. Rotation may drive the formation of WNL stars in low-mass, metal-poor counterparts, with this effect being more pronounced in the overshooting model. The surface nitrogen of metal-rich WNL stars formed during the main-sequence phase is likely primarily from the CN cycle, while it may come from both the CN and NO cycles for relatively metal-poor counterparts. Our model can effectively explain the distribution of WNL stars in the Milky Way, but appears to have inadequacies in explaining the WNL stars in the LMC.
Microphysical Prescriptions for Parameterized Water Cloud Formation on Ultra-cool Substellar Objects
Authors: Mang James , Morley Caroline V. , Robinson Tyler D. , Gao Peter
Published: October 2024

Water must condense into ice clouds in the coldest brown dwarfs and exoplanets. When they form, these icy clouds change the emergent spectra, temperature structure, and albedo of the substellar atmosphere. The properties of clouds are governed by complex microphysics but these complexities are often not captured by the simpler parameterized cloud models used in climate models or retrieval models. Here, we combine microphysical cloud modeling and 1D climate modeling to incorporate insights from microphysical models into a self-consistent, parameterized cloud model. Using the 1D Community Aerosol and Radiation Model for Atmospheres (CARMA), we generate microphysical water clouds and compare their properties with those from the widely used EddySed cloud model for a grid of Y dwarfs. We find that the mass of water condensate in our CARMA water clouds is significantly limited by available condensation nuclei; in models without additional seed particles for clouds added, the atmosphere becomes supersaturated. We incorporate water latent heat release in the convective and radiative parts of the atmosphere and find no significant impact on water-ice cloud formation for typical gas giant compositions. Our analysis reveals the CARMA cloud profiles have a gradual decrease in opacity of approximately 4% per bar below the cloud base. Incorporating this gradual cloud base falloff and a variable f
sed parameter allows spectra generated from the parameterized Eddysed model to better match those of the microphysical CARMA model. This work provides recommendations for efficiently generating microphysically informed water clouds for future models of cold substellar objects with H/He atmospheres.
High-energy Neutrinos from Late-time Jets of Gamma-Ray Bursts Seeded with Cocoon Photons
Authors: Matsui Riki , Kimura Shigeo S. , Hamidani Hamid
Published: October 2024

In gamma-ray bursts (GRBs), ∼100–1000 s after the prompt emission, afterglow observations have consistently shown X-ray excesses detected in the form of flares (in long GRBs) or extended emission (in short GRBs). These observations are interpreted as emissions from jets launched by late central engine activity. However, the characteristics of these late-time jets, particularly the dissipation radius (r
diss), Lorentz factor (Γ), and cosmic-ray loading factor (ξ

p
), remain unknown despite their importance. Here, in order to understand the properties of the late-time jets with future multimessenger observations, we estimate the detectability of neutrinos associated with late-time emissions for a wide range of r
diss and Γ, assuming ξ

p
= 10. We take into account external seed photons from the cocoon around the jets, which can enhance the neutrino production through photohadronic interaction in the jet dissipation region. Our results are still consistent with the upper limit obtained by IceCube. Our calculations indicate a promising prospect for neutrino detection with IceCube-Gen2 through the stacking of ∼1000–2000 events, for a wide range of r
diss and Γ. We found that setting an optimal energy threshold of 10 TeV can significantly reduce noise without negatively affecting neutrino detection. Furthermore, even in the case of nondetection, we show that meaningful constraints on the characteristics of the late-time jets can be obtained.
Nucleosynthesis Contribution of Neutrino-dominated Accretion Flows to the Solar Neighborhood
Authors: Qi Yan-Qing , Liu Tong , Sun Mouyuan , Cai Zhen-Yi
Published: October 2024

The elemental abundances of stars reflect the complex enrichment history of the Galaxy. To explore and explain the metal enrichment history of the cosmic environment near our solar system, we study the evolution of 56Fe abundance over time and [Mg/Fe] versus [Fe/H] evolution in the solar neighborhood. Core-collapse supernovae make the dominant contribution in the early stages, while Type Ia supernovae (SNe Ia) have a delayed and dominant impact in the later stages. In this work, we consider the nucleosynthesis contribution of neutrino-dominated accretion flows (NDAFs) formed at the end of the lives of massive stars. The results show that the [Fe/H] gradually increases over time and eventually reaches [Fe/H] = 0 and above, reproducing the chemical enrichment process in the solar neighborhood. Before the onset of SNe Ia, the ratio of 56Fe mass to the total gas mass increases by a factor of at most ∼1.44 when NDAFs are taken into account. We find that by including NDAF in our models, the agreement with the observed metallicity distribution of metal-poor stars in the solar neighborhood (<1 kpc) is improved while not significantly altering the location of the metallicity peak. This inclusion can also reproduce the observed evolutionary change of [Mg/Fe] at [Fe/H] ∼ −1.22, bringing the ratio to match the solar abundance. Our results provide an extensive understanding of metallicity evolution in solar environments by highlighting the nucleosynthesis contribution of NDAF outflows in the solar neighborhood.
High-quality Extragalactic Legacy-field Monitoring (HELM) with DECam: Project Overview and First Data Release
Authors: Zhuang 庄 Ming-Yang 明阳 , Yang Qian , Shen Yue , Adamów Monika , Friedel Douglas N. , Gruendl R. A. , Stone Zachary , Li Junyao , Liu Xin , Martini Paul , Abbott Timothy M. C. , Anderson Scott F. , Assef Roberto J. , Bauer Franz E. , Bielby Richard , Brandt W. N. , Burke Colin J. , Casares Jorge , Chen Yu-Ching , De Rosa Gisella , Drlica-Wagner Alex , Dwelly Tom , Eltvedt Alice , Fonseca Alvarez Gloria , Fu 傅 Jianyang 健洋 , Fuentes Cesar , Graham Melissa L. , Grier Catherine J. , Golovich Nathan , Hall Patrick B. , Hartigan Patrick , Horne Keith , Koekemoer Anton M. , Krumpe Mirko , Li Jennifer I. , Lidman Chris , Malik Umang , Mangian Amelia , Merloni Andrea , Ricci Claudio , Salvato Mara , Sharp Rob , Trilling David E. , Tucker Brad E. , Wen Di , Wideman Zachary , Xue Yongquan , Yu Zhefu , Zucker Catherine
Published: October 2024

High-quality Extragalactic Legacy-field Monitoring (HELM) is a long-term observing program that photometrically monitors several well-studied extragalactic legacy fields with the Dark Energy Camera (DECam) imager on the CTIO 4 m Blanco telescope. Since 2019 February, HELM has been monitoring regions within COSMOS, XMM-LSS, CDF-S, S-CVZ, ELAIS-S1, and SDSS Stripe 82 with few-day cadences in the (u)gri(z) bands, over a collective sky area of ∼38 deg2. The main science goal of HELM is to provide high-quality optical light curves for a large sample of active galactic nuclei (AGNs), and to build decades-long time baselines when combining past and future optical light curves in these legacy fields. These optical images and light curves will facilitate the measurements of AGN reverberation mapping lags, as well as studies of AGN variability and its dependencies on accretion properties. In addition, the time-resolved and coadded DECam photometry will enable a broad range of science applications from galaxy evolution to time-domain science. We describe the design and implementation of the program and present the first data release that includes source catalogs and the first ∼3.5 yr of light curves during 2019A–2022A.
How landscape heterogeneity influences the outbreak dynamics of the common vole (Microtus arvalis) in European farmlands: A review
Authors: Fotheringham Julia , Rijsdijk Kenneth , Artzy-Randrup Yael
Published: October 2024

Outbreaks of the common vole, Microtis arvalis (Pallas, 1778), have plagued temperate European farmlands throughout history, causing large-scale crop loss and forming reservoirs for zoonotic pathogens. Here, we review the role of landscape heterogenicity, in particular ecological structural elements (ESEs) such as hedgerows, flower strips and bushes in farmlands on the outbreak dynamics of the common vole. Research into the role of landscape heterogeneity on outbreak dynamics in agricultural landscapes has highlighted the potential significance of the scale and connectivity of vole habitats, as well as various ecological structural elements that indirectly shape competition and predation. Landscape openness, in the form of open grasslands, such as crops and pastures, forms optimal vole habitat and has been linked to multiannual cycling and outbreaks of common vole populations. Conversely, ESEs that provide heterogeneity in agricultural landscapes are found to exert a limiting force on population growth and the likelihood of outbreaks. A heterogenic landscape not only creates physical barriers between vole populations, but also offers habitat and hunting arenas for both generalist and specialist predators. Especially woody ESEs, such as hedgerows, forest patches and strips, as well as rural built-up structures, stand out as features relevant for generalist predators. In addition, we find that rotary shallow tilling of fields is also effective in avoiding the establishment of vole populations. We find that there is evidence to support recommendations for effective landscape structure in farmland regions at three spatial scales: patch (<1 km2), landscape (< 100 km2) and regional (>100 km2). However, to further our understanding of the interaction between voles and landscape heterogeneity, it is essential to increase long-term (>6 years) and multi-scale monitoring projects of vole dynamics across all scales. Based on our review, we provide concrete management measures to exploit ELEs to reduce outbreak hazards in farmland. We conclude that there is now potential to identify outbreak hazards within farmlands on all three scales by large-scale high-resolution mapping of the geographic configuration of ELEs, using open-access high-resolution (< 1 m2) remote sensing data (LiDAR).
A new species of the genus Humboldtiana (Gastropoda, Stylommatophora, Xanthonychidae) from Sierra de Penjamo, Guanajuato, Mexico
Authors: Mejía Omar , López Benjamín
Published: October 2024

Mexican terrestrial malacofauna is highly diverse, but poorly studied. The genus Humboldtiana includes near to 60 species, most with insular distributions on single mountains from South Texas (USA) to entral Mexico.

Humboldtiana dugesi sp. nov. is described from the state of Guanajuato, Mexico. This new species represents the first one described for the state and is diagnosed by the following combination of characters that allow distinguishing for other species included in the genus, a protoconch with growth lines and granulated microsculpture, a globose penis that bears a stout verge that covers half of the penis cavity and a long flagellum that is four times longer than the combined length of the penis and epiphallus.
Tenkana, a new genus of jumping spiders (Salticidae, Plexippina) from South Asia, with the new Indian species Tenkana jayamangali
Authors: Marathe Kiran , Caleb John T. D. , Maddison Wayne P. , Nisha B. G. , Maliye Chinmay C. , Lohit Y. T. , Kunte Krushnamegh
Published: October 2024

We describe a new plexippine genus, Tenkanagen. nov., supported by phylogenomic data from ultraconserved elements (UCEs), Sanger sequences of four genes, and morphological evidence. The type species, Tenkana manu (Caleb, Christudhas, Laltanpuii & Chitra, 2014), comb. nov. is transferred from Colopsus, as is Tenkana arkavathi (Caleb, 2022), comb. nov. The phylogenomic data places Tenkana among the plexippines near Hyllus C.L. Koch, 1846 and Telamonia Thorell, 1887, while the constrained four-gene phylogeny indicates that Tenkana is distinct from Colopsus. Additionally, we describe a new species, Tenkana jayamangalisp. nov.
O padrão exportador de especialização produtiva brasileiro: tendências da formação econômico-social brasileira em diálogo com a abordagem do padrão de reprodução do capital
Authors: Rolemberg Gabriel
Published: October 2024

A proposta teórico-metodológica do padrão de reprodução do capital objetiva aproximar a análise das tendências próprias ao capitalismo em geral e do capitalismo dependente em particular a um nível intermediário de abstração, em que são consideradas determinações geográficas e históricas para aa compreensão do processo de reprodução do capital. Nesse artigo, é realizada uma análise de algumas tendências estruturais da economia brasileira sob o prisma da categoria padrão de reprodução do capital e daquela que seria sua variante para as economias dependentes latino-americanas na atual quadra do capitalismo mundial, o padrão exportador de especialização produtiva, por meio da análise comparativa entre características do padrão regional, tal qual originalmente descrito, e aquelas apresentadas pela formação econômico-social brasileira.