bluuebunny/crossref_metadata_2025 huggingface dataset:
Present simple forms in the written work of Bangladeshi EFL learners
Authors: Muhammad Afsar Kayum  , Farhana Ahamed
Published: October 2024

This paper presents an investigation on plausible causes of similarities and differences of present simple tense features in the written work of Bangladeshi EFL learners. It endeavours to compare between British Standard English (BSE) present simple tense features found in different standard sources and the same used by the Bangladeshi EFL learners. In doing so, content analysis is employed on written compositions of a specific topic and these are collected from 30 postgraduate advance level Bangladeshi EFL learners with a special focus on the use of present simple form. Atlas.ti software is used to analyse the collected data. It is found that the features of present simple tense are the mostly used form and also a complex part of the learner’s written work. The study has found that one of the major causes of similarities and dissimilarities between the two standards are the cross-linguistic influence (CLI). This influence may be a ‘positive transfer’ that refers to the facilitating effects of one language in acquiring another; or a ‘negative transfer’ i.e. the divergences due to some differences between the target language and the native one of the learners (Odlin, 2013). For the similar features between the Bangladeshi native language, Bengali (L1) and English present tense, the learners can easily adopt the features; contrarily, they make occasional mistakes in writing or do not use in the cases of dissimilar features. Thus, based on current CLI and second language acquisition (SLA) theories, the study has hopefully contributed to the theoretical development of cross-linguistic study in written English in Bangladesh.
Review on poultry automation using IoT and machine learning
Authors: Trimuke Digambar  , Ameena Firdous Nikhat  , Nagaraj. M
Published: October 2024

The introduction of Internet of Things (IoT) era has revolutionized the rooster farming enterprise with the aid of using improving productivity, optimizing resources, enhancing efficiency, and lowering manufacturing costs. Rooster enterprise is an crucial enterprise for sustainable meals deliver in our country. The Food and Agriculture Organization of the United Nations (FAO) envisioned that during 2020, chook meat manufacturing reached a file excessive of about 102 million metric tons. It is about over 36% of world meat manufacturing. This article presents a complete assessment of studies emphasizing AI-enabled IoT programs in rooster and explores the ability of IOT sensors with inside the discipline of rooster farming and presents insights into the destiny of automation. By tracking and efficaciously preserving the temperature, dampness, air excellent, and meals feeder with the assist of Wireless Sensor Networks (WSN) era and the Internet of Things we will attain good-excellent manufacturing. The implementation of IoT in rooster farming gives several benefits, such as decreased exertions costs, higher sickness management, improved yields and higher animal welfare.
Influence of rubber aggregates from the recycled tires on the physico-mechanical and durability properties of compressed earth blocks
Authors: Philbert NSHIMIYIMANA  , Seick Omar SORE  , Nafissatou SAWADOGO  , Amadou Seybou DIOFFO  , Mahamoudou ZI  , Adamah MESSAN
Published: October 2024

To meet sustainable development goals, global policies are strongly oriented toward valorizing alternative resources such as local materials and waste from different sectors of activity. This study aims to evaluate the influence of adding rubber aggregates from used/recycled tires (GPU) on the physico-mechanical and durability properties of compressed earth bricks (CEB). The CEB were made with an earthen matrix containing 8% cement, and 0 to 2% mass of GPU. The CEB were cured under ambient conditions (30±5°C) for 28 days. The results showed a real improvement in physical and mechanical performance and durability indicators of CEB with increasing GPU content. The apparent density changed slightly from 1697 kg/m3 to 1733 kg/m3. Total water absorption decreased from 21% to 19% with a slight decrease in water-accessible porosity from 35.7% to 33.1%. The capillary absorption coefficient at 10 minutes also decreased from 14 g/cm2.min1/2 to 10 g/cm2.min1/2 The increase of 29% was noted on the compressive strength in the dry state ranging from 3.5 to 4.5 MPa and of 60% on the compressive strength in the wet state ranging from 1.1 MPa to 1.7 MPa. This resulted in the improvement of the structural efficiency coefficient by 27% ranging from 2080 to 2651 Pa.m3/kg. Abrasion resistance coefficient increased more than 50% ranging from 10.8 to 16.9 cm2/g. By comparing the results to the normative references, the CEB containing GPU can be classified as CEB usable in load-bearing walls in a dry environment and resistant to abrasion.
Customer journey mapping framework for SMES: Enhancing customer satisfaction and business growth
Authors: Nnenna Ijeoma Okeke  , Olufunke Anne Alabi  , Abbey Ngochindo Igwe  , Onyeka Chrisanctus Ofodile  , Chikezie Paul-Mikki Ewim
Published: October 2024

Customer journey mapping (CJM) is an essential tool for small and medium-sized enterprises (SMEs) to understand and optimize their interactions with customers, thereby driving satisfaction and business growth. This review outlines a customer journey mapping framework designed specifically for SMEs, aiming to enhance customer experiences through a structured approach to identifying key touchpoints, pain points, and opportunities for improvement across the customer lifecycle. The proposed framework involves systematically mapping out every stage of the customer journey, from initial awareness to post-purchase interactions, highlighting moments that significantly impact customer satisfaction. By leveraging customer data, feedback, and analytics, SMEs can gain valuable insights into customer behavior, motivations, and preferences. This framework emphasizes the importance of personalization, using data to tailor the customer experience and foster deeper connections. Additionally, the framework integrates feedback loops, allowing SMEs to continuously gather and analyze real-time customer data. This iterative process helps businesses to proactively identify emerging trends, address customer concerns, and adapt to evolving market demands. By aligning customer needs with business objectives, SMEs can create more targeted marketing campaigns, improve product or service offerings, and enhance customer retention strategies. The implementation of this customer journey mapping framework can lead to several key benefits for SMEs, including improved customer satisfaction, increased brand loyalty, and greater operational efficiency. It also enables SMEs to compete more effectively in their markets by delivering personalized and seamless customer experiences. The framework supports scalability, allowing SMEs to refine their customer engagement strategies as their businesses grow. In conclusion, the customer journey mapping framework serves as a critical tool for SMEs looking to enhance customer satisfaction and drive sustainable business growth. By focusing on data-driven insights and continuous improvement, SMEs can deliver more value to customers, strengthen brand loyalty, and achieve long-term success.
AI in customer feedback integration: A data-driven framework for enhancing business strategy
Authors: Nnenna Ijeoma Okeke  , Olufunke Anne Alabi  , Abbey Ngochindo Igwe  , Onyeka Chrisanctus Ofodile  , Chikezie Paul-Mikki Ewim
Published: October 2024

The integration of artificial intelligence (AI) into customer feedback systems has emerged as a transformative approach for businesses seeking to enhance their strategies and maintain a competitive edge. This review presents a data-driven framework that leverages AI to analyze, interpret, and act upon customer feedback, providing actionable insights for business decision-making. AI techniques such as natural language processing (NLP), machine learning (ML), and sentiment analysis allow companies to automate the feedback collection process and analyze vast amounts of data from diverse sources, including surveys, reviews, social media, and customer support interactions. The proposed framework facilitates real-time feedback analysis, enabling businesses to identify trends, customer preferences, and potential pain points more efficiently. By integrating AI with existing customer relationship management (CRM) systems, businesses can automate the categorization and prioritization of feedback, allowing for timely responses and more effective problem-solving. Furthermore, predictive analytics tools within the framework can forecast customer needs, allowing businesses to tailor products and services to meet evolving expectations. This framework also supports continuous improvement by enabling businesses to track the impact of changes implemented based on customer feedback. Additionally, AI’s ability to personalize the customer experience by recognizing patterns and individual preferences plays a crucial role in increasing customer satisfaction and loyalty. The data-driven insights generated through AI integration can guide businesses in refining their marketing, product development, and customer service strategies, leading to improved operational efficiency and better alignment with customer expectations. In conclusion, the integration of AI into customer feedback mechanisms represents a significant advancement for data-driven business strategy development. This framework not only enhances feedback accuracy and speed but also empowers businesses to deliver more personalized and customer-centric solutions.
AI-driven personalization framework for SMES: Revolutionizing customer engagement and retention
Authors: Nnenna Ijeoma Okeke  , Olufunke Anne Alabi  , Abbey Ngochindo Igwe  , Onyeka Chrisanctus Ofodile  , Chikezie Paul-Mikki Ewim
Published: October 2024

In today's competitive business landscape, Small and Medium Enterprises (SMEs) face unique challenges in building and maintaining strong customer relationships. An AI-driven personalization framework offers a transformative solution by enabling SMEs to deliver highly targeted and individualized customer experiences, improving both engagement and retention rates. This review outlines how artificial intelligence (AI) can empower SMEs by integrating data-driven insights with customer interaction processes to revolutionize business practices. AI-driven personalization leverages machine learning algorithms, natural language processing (NLP), and predictive analytics to analyze customer behaviors, preferences, and feedback. By aggregating data from various sources—such as online interactions, purchase histories, and social media activity—AI can generate personalized recommendations, offers, and communication strategies that resonate with individual customers. The framework facilitates dynamic customer segmentation, allowing SMEs to tailor marketing efforts and enhance service delivery. The personalization process also extends beyond marketing by optimizing customer support through AI-powered chatbots and recommendation systems, which provide real-time solutions and advice. This level of personalization fosters stronger emotional connections, increasing customer satisfaction and brand loyalty. Additionally, AI-driven insights enable SMEs to anticipate customer needs, predict churn rates, and proactively address potential issues, thereby boosting retention rates. For SMEs, the implementation of an AI-driven personalization framework is not only cost-effective but scalable, making it accessible even to businesses with limited resources. As SMEs increasingly adopt digital tools, the integration of AI-based personalization becomes essential for staying competitive in a rapidly evolving market. This review highlights the potential of AI in transforming customer engagement strategies for SMEs by offering a tailored, efficient, and sustainable approach to enhancing customer experiences.
Human capital development practices and performance of business organizations in imo state
Authors: JOSEPH ODIA  , Uduak Efiong Oku-Ukpong  , Saviour Odia
Published: October 2024

The study examined human capital development practices and performance of business organizations in Imo State. It specifically focused on the influence of developmental human capital development and collaborative human capital development practices on market share and customers’ satisfaction of business organizations. The study employed a descriptive survey research design. The population of the study was 96 (ninety-six) registered business organizations in Imo State. The entire population of the study was used due to its manageable size. Data was collected with a structured questionnaire designed by the researchers. The questionnaire was validated by two professionals in the field of measurement and evaluation of the principal researcher’s institution, and the reliability of the instrument was determined with test re-test which yielded a coefficient of 0.87. Data was collected through physical contact with the respondents. Data collected was analyzed with mean and standard deviation. Analysis of the data collected revealed that both developmental and collaborative human capital development practices have positive influence on both market share and customers’ satisfaction of business organizations. Thus, it was recommended that: management of organizations should prioritize the use of developmental human capital development approaches like training and development, performance appraisal, and performance counseling to prepare their employees for higher performance; and management of organization should encourage the use of collaborative human capital development practices like goal setting, role-clarification, and interpersonal relations to increase the productivity of their employees.
Evaluation of Greenhouse Gas Emission Assessment Resulting from Processing Municipal Organic Waste into Bahan Bakar Jumputan Padat for Co-firing in Power Plants; Case Study: Bagendung Landfill Cilegon City
Authors: Teuku Muhammad Ismaldy  , Ratna Purwaningsih
Published: October 2024

One type of biomass that can be used as fuel for co-firing in power plants is Bahan Bakar Jumputan Padat (BBJP)/Solid Waste Fuel. BBJP is a non-hazardous waste derivative that cannot be recycled. The production process of BBJP is strictly regulated by the Indonesian national standard (SNI) 8966:2021. The definition, characteristics and specifications of BBJP are much closer to Solid Recovered Fuel (SRF) than Refuse Derived Fuel (RDF). The utilization of BBJP reflects the dedication to reducing waste in landfills with a circular economy concept approach as well as the transition of the energy mix in Indonesia. To the present day, the production capacity of BBJP at Bagendung landfill in Cilegon City, Banten Province, has successfully produced 30 tons/day of organic municipal waste with an average BBJP product yield ranging between 11-15 tons/day. This research is intended to assess the Greenhouse Gas emissions (GHG) generated from the processing of municipal waste into BBJP. There are three main processes that produce GHG emissions, namely during bio drying processing, the use of machinery that produces emissions from electricity and the transportation process that produces combustion emissions in diesel fuel. As a result, direct GHG emissions arising from all waste processing activities into BBJP consist of 10 pollutants, namely CH4, N2O, CO, NH3, CO2, NOX, SO2, NVMOC, PM2.5 and ID(1,2,3,c,d)P. CO2 emission is the largest pollutant, accounting for 96.70% of the entire BBJP process.
An interrogation of family-based care for the elderly in Kaloleni sub-location, Kisumu, Kenya
Authors: Charles O Gundo  , Murumba Wangamati  , Gilbert Kimutai
Published: October 2024

The aim of this study was to interrogate family based care services for the elderly within Kaloleni Sub-Location, Kisumu, Kenya. The population of the elderly (age 60 and above) is projected to outnumber children (0-9 years) by the year 2030, and by 2050, to exceed the population of adolescents and youth aged between 10 to 14 years. The Kenya government is exploring the development of a community care strategy and the roll-out of an Integrated Care of Older Persons (ICOPE) package. While family-based care has been the policy and cultural preference for offering long term elderly care, the state recognized growing demand for responsive changes to current realities. This research set the following three objectives: First, to establish the state of family based care in Kaloleni sub-location; second, to examine alternatives to family based care that exist in the sub-location, and, lastly, to interrogate policy options as suggested by respondents in the study. Using Krejcie and Morgan sample size determination table, a total of 120 elderly persons aged 70 and above were traced and 92 of them randomly sampled. The methodology deployed was mixed methods involving narrative interviewing and cross sectional survey. Descriptive data analysis and thematic analysis were deployed for quantitative and qualitative results respectively. Narrative interviewing/In depth interviews method was used in collecting data from Kaloleni sub-location. While findings from this research may not be generalizable due to study limitations and scope, the study strongly demonstrated the desperate state of gerontological care in informal settlements in urban centers in Kisumu, where over 90% of respondents sought improvement on care service provision for the elderly. The elderly persons mostly rely on care givers from the family but these care givers also tend to be dependent on the elderly respondents for general upkeep. Results support the literature that contends that older people are vulnerable to poverty. It was recommended that policy must shift to address factors that promote healthy aging and diminish suffering in old age as population aging continues. Further studies of a longitudinal nature are required to lend greater insight and inform policy.
Antibacterial potential of queen pineapple (Ananas comosus (L.) Merr Var. Queen) peel extract on the growth of Lactobacillus acidophilus bacteria
Authors: Elok Nafilah Fitri  , Intan Nirwana  , Asti Meizarini  , Nur Dianawati  , Basma Rosandi Prakosa  , Fery Setiawan  , Nur Fajar Vemellya
Published: October 2024

Based on the Global Burden of Disease Study in 2017, the prevalence of caries in each country reached 20% to more than 50%. Caries is formed due to the role of several factors including host, agent (microorganisms), substrate, and time. Bacteria involved in the origin of caries formation such as Lactobacillus group bacteria found in the oral cavity which can cause dental caries, one of which is Lactobacillus acidophilus. The use of natural cleansers is highly recommended to remove residual bacteria as an effort to prevent caries. Queen Pineapple (Ananas comosus (L.) Merr Var. Queen) is a fruit that contains very complex compounds that can act as anticarcinogenic and antibacterial. This study aims to determine the Minimum Bactericidal Concentration (MBC) and Minimum Inhibitory Concentration (MIC) against the growth of Lactobacillus acidophilus bacteria. This type of research was a laboratory experimental type with posttest only control group design. This study used the dilution method of the number of samples, namely concentrations of 0.781%, 1.56%, 3.125%, 6.25%, 12.5%, 25%, 50%, 100%, positive controls and negative controls. This study was conducted 3 times repetition. Manual calculation of the number of bacterial colonies that grow on nutrient agar media and expressed in colony forming units (CFU) which will determine the MBC and MIC. The Shapiro-Wilk test showed a p value> 0.05 at all concentrations and normally distributed data, but when tested for homogeneity the data was not homogeneous so that the non-parametric statistical test continued using the Kruskal Wallis test showing a value of p < 0.05. Conclusion: Colony count results showed that the concentration of 3.12% can inhibit the visible growth of Lactobacillus acidophilus bacteria which is stated as the Minimum Inhibitory Concentration (MIC) and can prevent growth after subculture to antibiotic-free medium at a concentration of 6.25% which is stated as the Minimum Bactericidal Concentration (MBC).
Integration of Islamic Values in Anti-Corruption (A Secondary Data Study on Public Perception of Corruption and Religion)
Authors: Trisnawati  , Akhmad Hasan Saleh
Published: October 2024

This study examines the acceptance of Indonesia society towards the integration of Islamic values in corruption eradication policies. Through secondary data in the form of research survey data, this paper aims to explore the public's knowledge about Islamic values related to anti-corruption, their views on the effectiveness of Islamic values-based policies, and the level of support for the integration of these values in public policy. The survey results showed that the majority of respondents had a fairly good knowledge of relevant Islamic values, such as honesty (ash-shidq), justice (al-adl), and amanah. Most respondents believe that anti-corruption policies based on Islamic values will be more effective, with high support for the integration of these values. However, there are concerns regarding the consistency of implementation and the potential for politicization of religious values. This research suggests improving education and socialization of Islamic values, consistency in policy implementation, and collaboration with religious institutions as strategic steps to strengthen the eradication of corruption in Indonesia.
Integration Approaches in Forensic Portrait Examination
Authors: Ilyin N. N.
Published: October 2024

The article reviews some actual issues of the theory and practice of the production of forensic portrait examinations: the tight deadlines of the preliminary investigation, the increased time expenditures to produce forensic video examination, the need for an integrated approach to the training of forensic portrait experts. The author proposes to revise some approaches to the training of forensic experts in the field of forensic portrait examinations. Along with the possibility of a comprehensive forensic examination, taking into consideration current needs of practice, more attention needs to be paid to software application for processing photo and video images processing in order to improve visual perception of the information displayed and to study montage marks and their detectability. All this will contribute to the evolvement of a portrait examiner as a specialist of double competence.
Interrogating Side Effects in Critical and Quantitative Research in Education
Authors: Vernikoff Laura , Reagan Emilie Mitescu
Published: October 2024

Quantitative education research is often perceived to be “objective” or “neutral.” However, quantitative research has been and continues to be used to perpetuate inequities; these inequities arise as both intended effects and unintended side effects of traditional quantitative research. In this review of the literature, we synthesize how quantitative researchers have attempted to use critical paradigms to address questions of equity in education research published over the past 15 years. We identify and describe three main tensions that critical and quantitative researchers navigated: (a) creating and analyzing social group categories, (b) trying to describe commonalities within group experiences without erasing heterogeneity of experience within the group, and (c) determining what is a “significant” result when conducting critical and quantitative research.
The Side Effects of Universal School-Based Mental Health Supports: An Integrative Review
Authors: MacGregor Stephen , Friesen Sharon , Turner Jennifer , Domene José F. , McMorris Carly , Allan Sharon , Mesner Brenna , Sumara Dennis
Published: October 2024

A challenge with universal school-based mental health supports is the limited understanding of potential unintended or unanticipated outcomes. In this review, we examined 47 academic and gray literature sources to address the question, “What are the side effects of universal school-based mental health supports?” We discuss how universal supports can positively impact student mental health, enhance school staff’s knowledge and attitudes in addressing mental health topics, and contribute to an improved school climate. However, universal supports can also lead to school staff feeling the strain of resource and time pressures from integrating mental health programming into demanding schedules, voicing frustrations about or exhibiting resistance to mental health supports, and encountering varied, unpredictable outcomes for different student populations across system contexts.
Artificial Intelligence and Theology
Authors: Beard Brady Alan
Published: October 2024

This bibliographic essay provides a starting point for theological librarians to engage the history, anthropology, ethics, theology of artificial intelligence. What it shows is that despite seeming to appear ex nihilio, artificial intelligence for writing has a long history, profound ethical consequences beyond academic integrity, and latent theology. While theological librarians may or may not have the computer science background necessary to engage the technicalities of AI, they certainly have the disciplinary knowledge and skill to engage the topic in a meaningful and theological way.
Producción de goma en brea (Cercidium praecox (R et P) Harms). Su relación con el estado hídrico, la concentración de carbohidratos no estructurales totales y el numero y tamaño de las heridas
Authors: Losano M. A.
Published: October 2024

El objetivo de este trabajo fue determinar la producción de goma de Cercidium praecox (Ret P) Harms en relación al estado hídrico, la concentración de carbohidratos no estructurales totales (CNT) de la corteza y al perímetro de las heridas. La máxima producción de goma ocurrió en diciembre, luego de finalizada la floración y disminuido el crecimiento. Dicha producción estuvo acompañada por un aumento en el potencial agua en preamanecer y una disminución en el contenido de CNT corticales. El mayor tamaño y número de heridas incrementó la producción de goma.
Evaluación de cepas nativas del hongo entomopatógeno Beauveria bassiana Bals. (Vuill.) (Deuteromicotina) como base para la selección de bioinsecticidas contra el barrenador Diatraea saccharalis (F.)
Authors: Díaz B .M. , Lecuona R. E.
Published: October 2024

Se estudiaron distintas cepas del hongo entomopatógeno Beauveria bassiana Balsamo (Vuillemin) aisladas de larvas invernantes de Diatraea saccharalis (F.) y otros insectos hospedantes, recolectadas de diferentes regiones del área maicera argentina. En ensayos de laboratorio, todas las cepas fueron patógenas en larvas de D. saccharalis. La virulencia osciló entre el 30 y 96 %. Estudios de velocidad de germinación, crecimiento radial, producción de conidios, tiempo letal medio y otras características culturales de las colonias variaron significativamente entre las cepas. No se logró establecer una relación entre estos parámetros y la virulencia. El análisis en conjunto de los mismos permitió seleccionar tres cepas de B. bassiana para futuros estudios como insecticida microbiano para D. saccharalis.
Sekkâkî’nin Miftâhu’l-‘ulûm Adlı Eserinde Kur’an’a Yapılan Saldırıların Müdafaası
Authors: Gümüş Sabahattin
Published: October 2024

Bu çalışma, meşhur dil âlimi Ebû Ya‘kûb Siracüddin es-Sekkâkî’nin (ö. 626/1229) Kur’an’a saldıranlar tarafından ileri sürülen iddialara Miftâhu’l-‘ulûm adlı eserinde verdiği cevapları konu edinmektedir. Taşköprîzâde Ahmed Efendi’nin (ö. 968/1561) ilimler tasnifine dair kaleme aldığı Miftâhu’s-sa‘âde isimli kitabında Sekkâkî’yi bu iddialara verdiği cevaplar bakımından yetkin kabul etmesi, konunun onun bakış açısıyla ortaya konmasının gerekliliğine işaret eder. Sekkâkî’nin Miftâh’ta yer alan konuyla ilgili bölümde, İbn Kuteybe’nin (ö. 276/889) Te’vîlü müşkili’l-Kur’ân adlı kitabından faydalandığı görülmektedir. Ayrıca Mehmed Şâh Fenârî’nin (ö. 839/1435 [?]) Enmûzecu’l-‘ulûm ve Mehmed Emin Şirvânî’nin (ö. 1036/1627) el-Fevâidu’l-hâkâniyye adlı eserlerinde, konuya ilişkin ele alınan bilgilerin büyük çoğunlukla Miftâh’taki bilgilerle örtüştüğü dikkat çekmektedir. Müteşâbih âyetlerin yanında lafız ve anlam bakımından Kur’an’daki tekrarın i‘câz iddiasına halel getirdiği, kimi âyetlerin aruz ölçüsünde gelmesinin ve kıraatlerdeki farklılıkların onun ilahi vahiy ürünü olduğuna engel teşkil ettiği, bazı âyetlerde irab hatalarının bulunduğu, bazılarında vakıaya uygun düşmeyen hususların yer aldığı, bazı âyetler arasında ise anlam çelişkilerinin olduğu yönündeki iddiaları, onların Kur’an’a yaptıkları saldırıların belli başlılarındandır. Sekkâkî’nin bu iddialara cevapları irdelendiğinde; sarf, nahiv, iştikak, belagat, kıraat ve aruz ilimlerindeki bilgi yetersizliğinin, Kur’an’ı lafız ve anlam açısından doğru analiz etmeye engel teşkil ettiği üzerinde durduğu görülür. Şu hâlde Sekkâkî’ye göre Araplar tarafından bilindiği ve kullanıldığı gerçeğinden hareketle nüzul döneminde âyetlerin anlamlarında bir kapalılık olmadığından müteşâbih kelimelerin i‘câza mâni olmadığı kabul edilmelidir. Kur’an’daki tekrarlar, bulundukları yerler bakımından edebi inceliğe riayet etmek ve makama uygun anlamın seçilmesiyle yakından ilgilidir. Bazı âyetlerin aruz ölçüsüne denk gelmesi, onların şiir olmasını gerektirmez. Çünkü şiirde kasıt ve bilinç temel unsurdur. Âyetlerde ise böyle bir şey söz konusu değildir. Kıraat uleması tarafından muteber görülen sahih kıraatler, vahiy ürünü olduğundan yani hepsi Allah kelamı olduğundan birinin diğerine üstünlüğü olmadığı gibi, belagat açısından da her biri üst seviyededir. Kur’an’a saldıranların bazı âyetlerdeki kelimelerin ögelik konumuna itiraz etmeleri, âyetlerin gramatik tahlillerini bilmemelerinden kaynaklanmaktadır. Kimi âyetlerin gerçeğe aykırı olduğunu iddia etmeleri ise bu âyetleri harfi tercüme üzerinden anlamaları sebebiyledir. Makalede konuyla ilgili bahsedilen bu iddialar ve Sekkâkî’nin verdiği cevaplar incelenmektedir.
Zemahşerî’nin el-Keşşâf İsimli Tefsirinde Takdîm-Tehîr Meselelerinin İlletlendirilmesi: Bazı Ayet Örnekleri Üzerinde Bir İnceleme
Authors: Yıldırım Esra
Published: October 2024

İlk dönemlerden itibaren dilsel meseleleri illetleri ile açıklama prensibiyle hareket eden dil alimleri, her ne kadar nahiv ilmi üzerinde yoğunlaşsalar da nahiv ilminin bir uzantısı olarak belâğî meseleleri de illetleri ile açıklamaya özen göstermişlerdir. Kur’an-ı Kerim’in üslubuna son derece dikkat eden müfessirlerin ayetleri açıklarken illetlere dayandıkları bilinen bir husustur. Bu çalışma, takdîm-tehîr meselelerindeki incelikleri ve delaletteki etkilerini anlama ve değerlendirmede önemli bir rol oynayan illetleri, takdîm-tehîr üslubunda yaratıcı ve yenilikçi bir yol izleyen Zemahşerî’nin tefsiri üzerinden analiz etmeyi amaçlamaktadır. Bu sebeple Zemahşerî’nin tefsirinden örnekler ele alınıp, Zemahşerî’nin bu üslubu ve delaletlerini açıklarken dayandığı illetler incelenmiştir. Bu minvalde öncelikle illet kavramı ve bu kavrama paralel olarak karîne kavramı üzerinde durulmuş ve Kurân-ı Kerîm’de kastedilen manayı belirlerken illetlerin zaruriyyeti açıklanmıştır. Daha sonra Zemahşerî’nin tefsirinde takdîm- tehîrin olduğuna dair zikrettiği açıklamaları yani karînetü’l- manialar ve takdîm-tehîrin maksadını belirlerken kullandığı karîneler yani karînetü'l-muayyineler incelenmiştir. Bu amaç doğrultusunda makalede analitik yöntem takip edilmiştir. Sonuç olarak takdîm-tehîr meseleleri özelinde karînetü’l-manianın, cümlenin ögelerinin birbirlerine göre konumuna binaen aralarındaki ilişki anlamına gelen rütbe olduğu ve Zemahşerî’nin genelde bu karîneleri açıkça zikretmeyip işaretle yetindiği, takdîmin delaletini belirlerken ise siyak ve makama dayandığı ortaya çıkmıştır. Ayrıca takdîmden sonra i’rabı değişmeyen meselelerde takdîmin delaleti olarak ilk kez açıkça ihtisas delaletini zikreden kişi olması dikkat çeken bir husustur. Fakat onun bu çıkarımını kendinden önceki dil otoriteleri ile çelişen değil, bilakis onların verilerine dayalı makam ve siyakı da içine alarak ulaştığı bir sonuç olarak değerlendirmek daha doğru bir yaklaşım olacaktır.
The Social influence of the Corrections of Vaccine Misinformation on Social Media
Authors: Shanker Ankit , Vlaev Ivo
Published: October 2024

AbstractThis study examines the impact of social versus algorithmic corrections of vaccine misinformation on social media, on the perceptions of social norms around vaccination and vaccine intentions during a hypothetical pandemic. In an online experiment with 720 participants, we assessed whether user-generated or algorithmically generated corrections influenced perception of social norms measured as beliefs about other’s vaccination intentions (empirical expectations about vaccination), perception about the social appropriateness of vaccine refusal (normative expectations), and beliefs about others' perceptions of vaccine safety (second-order normative beliefs), and own vaccine intentions.User-generated corrections significantly increased the perceptions that refusing vaccination is socially very inappropriate and increased the perception that consensus is in support of vaccine safety. Algorithmic corrections did not influence social norm perceptions. Interestingly, neither social nor algorithmic corrections significantly altered empirical expectations about others' vaccination intentions. Both corrections also helped maintain participants' high initial vaccine intentions with algorithmic correction having stronger effects, in contrast to a significant decline in intentions observed in the control group exposed to misinformation without corrections.Algorithmic corrections from credible health agencies were effective in sustaining vaccine intentions, while user-generated corrections were more influential in improving perceptions of social norms. The study suggests that different correction types influence distinct determinants of vaccination behaviour: user-generated corrections reshape perceived social norms, while algorithmic corrections, citing credible sources, may better sustain high vaccine intentions.Keywords: Misinformation Corrections, Perceived Social Norms, Vaccine Intentions, Vaccine Misinformation, Social Corrections, Algorithmic Correction.
Ảnh hưởng của dịch vụ du lịch thông minh đến sự hài lòng của du khách tại điểm đến Cần Thơ, Việt Nam
Authors: Giao Ha Nam Khanh , Anh Huỳnh Diệp Trâm , Hòa Lê Văn , Son Le Thai
Published: October 2024

Mục tiêu của nghiên cứu là phân tích ảnh hưởng của dịch vụ du lịch thông minh đến sự hài lòng của du khách tại điểm đến Cần Thơ, Việt Nam. Nghiên cứu được thực hiện dựa trên cơ sở mô hình nghiên cứu E-Servqual được vận dụng trong bối cảnh đánh giá chất lượng dịch vụ du lịch thông minh tại điểm đến Cần Thơ, Việt Nam kết hợp với 400 phiếu trả lời hợp lệ của du khách nội địa và quốc tế đã từng đi du lịch tại Cần Thơ. Kết quả phân tích dữ liệu từ phần mềm SPSS.20 và SmartPLS cho thấy các thành phần của dịch vụ du lịch thông minh bao gồm: (1) Dịch vụ tham quan, (2) Dịch vụ lưu trú, (3) Dịch vụ vận chuyển, (4) Dịch vụ ăn uống và (5) Dịch vụ mua sắm sẽ tác động mạnh đến chất lượng dịch vụ du lịch thông minh, sau đó sẽ tạo nên sự hài lòng của du khách khi đi du lịch ở Cần Thơ. Từ đó, gợi ý các hàm ý quản trị nhằm nâng cao chất lượng dịch vụ thông minh và sự hài lòng của du khách trong bối cảnh công nghệ và khái niệm thông minh được tích hợp vào tất cả các khía cạnh của du lịch và dịch vụ du lịch.
MOLGENIS Armadillo: a lightweight server for federated analysis using DataSHIELD
Authors: Cadman Tim , Slofstra Mariska , van der Geest Marije , Avraam Demetris , bishop tom rp , de Boer Tommy , Duijts Liesbeth , Haakma Sido , Hyde Eleanor , Jaddoe Vincent , Karramass Tarik , Kelpin Fleur , Marcon Yannick , de Moira Angela Pinot , Postma Dick , Tolboom Clemens , Veenstra Ruben , Wheater Stuart , Welten Marieke , Wilson Rebecca , Zwart Erik , Swertz Morris
Published: October 2024

Summary. Extensive human health data from cohort studies, national registries, and biobanks can reveal lifecourse risk factors impacting health. Combining these sources offers increased statistical power, rare outcome detection, replication of findings, and extended study periods. Traditionally, this required data transfer to a central location or separate partner analyses with pooled summary statistics, posing ethical, legal, and time constraints. Federated analysis – which involves remote data analysis without sharing individual-level data – is a promising alternative. Here we present MOLGENISArmadillo: a lightweight server for federated analysis solutions such as DataSHIELD. Availability and Implentation. Armadillo has been deployed successfully across multiple consortia and is maintained as part of the long-running MOLGENIS open-source project for scientific software. It is available at https://github.com/molgenis/molgenis-service-armadillo.
Miocene ant-mealybug trophobiosis imaged with X-Ray micro-computed tomography
Authors: Smith Ru
Published: October 2024

Amber is a remarkable preserving medium for Mesozoic and Cenozoic terrestrial biotas, but even when transparency is good, available viewing angles can be limited. The technique of X-ray micro-computed tomography allows inspection from any desired viewpoint and facilitates detailed anatomical measurements, avoiding parallax errors. Here, I show the use of this technique to study an extremely rare association of a Miocene ant (Acropyga glaesaria) trapped in resin while carrying a mealybug (Electromyrmococcus inclusus) with which to incubate a new colony. This is only a fourth known example of an Acropyga gyne holding a mealybug and the second recorded specimen of Electromyrmococcus inclusus. Measurements and other features of both ant and mealybug are consistent with the holotypes.
Station-orientation catalog for Australian broadband seismic stations
Authors: Tarumi Kotaro , Yoshizawa Kazunori
Published: October 2024

gations in and around Australia. Although two horizontal components are generally assumed to be oriented in the north and east directions, as reported by data providers, misorientations of horizontal components from the true geographic north direction cannot be avoided in practical field observations, even in the well-maintained permanent stations. In this report, we applied a polarization analysis to almost all stations in Australia to estimate the misorientations of horizontal components using long-period teleseismic P-waves. A large data set of P-wave arrival angles allows us to successfully detect probable horizontal misorientations, including significant temporal changes in some stations, which generally happened at reported timings of station maintenance and instrument replacements. However, some stations exhibit misorientations and temporal changes at unexpected timings that are unreported. Compiling the information on such time-dependent misorientations, we created a full catalog of horizontal-component orientations for both permanent and temporary stations in Australia, which are widely available for the community.
Data Quality Literacy: A Guidebook
Authors: Liu Grace , Bordelon Bobray , Nagar Rashelle , Nguyen Uyen , Sarti Jordan , Boettcher Jennifer
Published: October 2024

The book is an edited collection based on a seven-session national forum webinar series on data quality literacy. It covers topics including evaluating data quality: challenges & competencies, quality assurance in data creation, understanding & evaluating governmental data (U.S. & International), commercial data quality issues, data quality: reproducibility and preservation, data quality: evolving employer expectations, and librarians’ role in cultivating data-literate citizens. This book is one of the deliverables of the Institute of Museum and Library Services funded project: Building Capacity of Academic Librarians in Understanding Quantitative Data, Data Quality Problems, and Evaluating Data Quality: A National Forum [RE-252357-OLS-22]. The project details and other deliverables including the national forum recordings and knowledge briefs are available on the project website: https://www.dataqualityliteracy.org.
Witnessing for Black mental health: Formative steps for designing a community-based mental health education intervention
Authors: Reischer Hollen N. , Taber-Thomas Sarah , Turay Esther , Johnson Detric , Greene Brittney , Dauphin Cassy , Erwin Deborah O. , Ashare Rebecca L.
Published: October 2024

Objectives: Following the May 2022 racially motivated mass shooting in Buffalo, New York, mental health care was found to be the most frequently endorsed unmet need among local Black community members surveyed. In response, a community-university partnership formed in pursuit of developing culturally tailored mental health programming. To inform program development, the partnership conducted community-engaged research to understand diverse stakeholders’ relevant concerns, beliefs, and preferences. Methods: In Study 1, community health workers (n=13; 92% Black; 100% women; 23–78 years old, Mage=52) participated in one-on-one semi-structured interviews. In Study 2, community members (n=54; 100% Black; 63% women, 31% men, 6% gender not reported; 18–91 years old) participated in focus groups. In both studies, transcripts were coded using descriptive, semantic, realist thematic analysis. Member checks were conducted with organizational leadership, study participants, and broader members of the community. Results: Across both studies, participants described cultural (e.g., stigma) and material (e.g., insurance) barriers to care; systematic (e.g., poverty) and interpersonal (e.g., lack of social support) mental health risks; willingness to discuss mental health (e.g., increasing over time); and preferences for mental health education and services (e.g., provider authenticity). Individual study results and convergences and divergences across studies are detailed. Conclusions: Results informed the development of a pilot mental health education program, “Witnessing for Mental Health.” The community health worker–delivered program addresses participant-identified cultural, tangible, and systemic barriers to mental health care and leverages increasing community openness and interest in discussing mental health.
Effects of transcranial direct current stimulation (tDCS) at different cortical targets on cognition in obsessive compulsive disorder (OCD)
Authors: Pellegrini Luca , Solly Jeremy E. , Fineberg Naomi
Published: October 2024

BackgroundTranscranial direct current stimulation (tDCS) holds promise as a treatment for obsessive compulsive disorder (OCD). Patients with OCD show impairment in specific aspects of executive function of relevance to wellbeing, manifesting as motor impulsivity and cognitive inflexibility. In a recently published feasibility study, tDCS produced a positive clinical effect on OCD symptoms (Fineberg et al 2023). We report a secondary analysis of neurocognitive data collected in this study. Our aim is to investigate whether tDCS additionally changes markers of motor impulsivity and cognitive flexibility. MethodsIn this randomised, double-blind, sham-controlled, cross-over, multicentre feasibility study, adults with DSM-5 OCD received three courses of clinic-based tDCS, targeting the bilateral supplementary motor area (SMA), left lateral orbitofrontal cortex (L-OFC) and sham, randomly allocated and delivered in counterbalanced order. Each tDCS arm comprised four 20-minute 2 mA stimulations, delivered over two consecutive days, separated by a ‘washout’ period of at least four weeks. Cognitive assessments were conducted before and 2 hours after the first stimulation in each arm, using the Stop Signal (SST) test for motor-impulsivity and the Intra/Extra-Dimensional-Set-Shifting-Task (IED) for cognitive inflexibility. We used a paired samples T-test to compare the baseline and post-stimulation scores for each treatment arm. ResultsNineteen adults were recruited. tDCS of the lateral OFC and SMA significantly improved cognitive inflexibility (total errors at the extra-dimensional shift stage of the ID/ED) (p=0.038 and p=0.030, respectively), while sham treatment did not (paired sample t-test, pre-post effect size, baseline vs. 2-hours after stimulation). No significant effect of tDCS was found for motor impulsivity (stop-signal reaction time, SSRT) in any of the three arms. ConclusionsNotwithstanding the small sample size, stimulating the OFC and SMA with a single administration of tDCS acutely reduced cognitive inflexibility but not motor impulsivity in patients with OCD. tDCS may act to improve OCD via cognitive mechanisms. A definitive randomised, controlled trial of tDCS targeting both the OFC and SMA, including cognitive markers, is indicated.Keywords: obsessive compulsive disorder; Cognitive inflexibility; Motor impulsivity; Transcranial Direct Current Stimulation; tDCS
Evaluating Working Memory as a Buffer for Visual Search
Authors: Su Ziyi , Wyble Brad , Fu Yingtao
Published: October 2024

This study explores the relationship between working memory and attention during visual search tasks, focusing on how time constraints affect the encoding of visual information into working memory. The research is based on the premise that under time pressure, participants may be more likely to encode the identity of search array items into working memory to continue processing after the visual stimuli are no longer visible. Experiment 1 and 2 used a surprise trial method to test memory for target identity with long and short presentation times. Despite higher location accuracy with longer viewing, there was no significant difference in surprise identity test accuracy between conditions. To get a more reliable measurement of working memory, Experiment 3 introduced a priming task to measure memory strength indirectly but found no priming effect. Overall, these three experiments did not provide strong evidence to support or negate the hypothesis that short presentation time might enhance working memory strength and thus did not support the possibility of using working memory to conduct visual search on briefly presented arrays. Suggestions on future design of this study interest are provided.
The Cronbach’s Alpha of Domain-Specific Knowledge Tests Before and After Learning: A Meta-Analysis of Published Studies
Authors: Edelsbrunner Peter Adriaan , Simonsmeier Bianca A. , Schneider Michael
Published: October 2024

Knowledge is an important predictor and outcome of learning and development. Its measurement is challenged by the fact that knowledge can be integrated and homogeneous, or fragmented and heterogeneous, which can change through learning. These characteristics of knowledge are at odds with current standards for test development, demanding a high internal consistency (e.g., Cronbach's Alphas greater .70). To provide an initial empirical base for this debate, we conducted a meta-analysis of the Cronbach's Alphas of knowledge tests derived from an available data set. Based on 285 effect sizes from 55 samples, the estimated typical Alpha of domain-specific knowledge tests in publications was α = .85, CI90 [.82; .87]. Alpha was so high despite a low mean item intercorrelation of .22 because the tests were relatively long on average and bias in the test construction or publication process led to an underrepresentation of low Alphas. Alpha was higher in tests with more items, with open answers and in younger age, it increased after interventions and throughout development, and it was higher for knowledge in languages and mathematics than in science and social sciences/humanities. Generally, Alphas varied strongly between different knowledge tests and populations with different characteristics, reflected in a 90% prediction interval of [.35, .96]. We suggest this range as a guideline for the Alphas that researchers can expect for knowledge tests with 20 items, providing guidelines for shorter and longer tests. We discuss implications for our understanding of domain-specific knowledge and how fixed cut-off values for the internal consistency of knowledge tests bias research findings.