bluuebunny/crossref_metadata_2025 huggingface dataset:
Peran DPK dalam memoderasi pembiayaan murabahah pada bank umum syariah
Authors: Sari Deny Kurnia , Annisa Arna Asna
Published: August 2024

This research aims to determine the effect of non-performing financing, net operating margin and financing-to-deposit ratio on murabahah financing with third-party funds as a moderating variable in Islamic commercial banks in Indonesia. This type of research is quantitative and involves a population of Islamic commercial banks registered with the Financial Services Authority (OJK). Meanwhile, the sample for this research was determined using a purposive sampling method with criteria determined by the researcher so that 60 samples were obtained from 12 Islamic commercial banks in 2016–2020. The type of data used is panel data. The analysis method used is moderated regression analysis (MRA). The research results show that the NPF and NOM variables hurt murabahah financing. Meanwhile, FDR hurts murabahah financing. DPK, as a moderating variable, is able to moderate the relationship between NPF, NOM and FDR variables on murabahah financing with varying results.
Pengaruh harga, kualitas pelayanan, dan citra merek terhadap kepuasan pelanggan pada pengguna Po Rosalia Indah
Authors: Utomo Fahman Hadi , Rizkiawan Ilham Karin , Khasanah Aulia Uswatun , Nuralamsyah Dicky
Published: August 2024

Customer satisfaction is a feeling of pleasure or disappointment from a buyer after purchasing goods or services and making an assessment and comparison of the results and also their expectations. Several factors influence customer satisfaction: price, service quality, and brand image. This study aimed to test whether price, service quality, and brand image positively affect PO Rosalia Indah's customer satisfaction in the Special Region of Yogyakarta. This study used purposive sampling to determine the sample and a questionnaire to collect data distributed to 176 respondents who are users of Po Rosalia Indah in the Special Region of Yogyakarta. This study used multiple linear regression data analysis. The results of the study showed that price had a positive effect on customer satisfaction. Service quality had a positive effect on customer satisfaction; brand image had a positive effect on customer satisfaction. The results of the simultaneous test of price, service quality, and brand image had a simultaneous effect on customer satisfaction of users of Po Rosalia Indah in the Special Region of Yogyakarta.
Influencer marketing di Instagram: Apakah influencer type, brand familiarity dan sponsorship disclosure mempengaruhi purchase intention
Authors: Susilowati Heni , Ady Pangeran Pandu Bayu , Widyaningsih Dewi
Published: August 2024

Influencer Marketing has changed the way people communicate, interact and engage with each other through social media. Influencers are considered to have the ability to spread information about a product by sharing sponsored content and brand messages so that consumers intend to buy. This research aims to determine the factors that influence the purchasing intentions of Surakarta people on Instagram. The sample selected was 100 respondents domiciled in Surakarta who actively use Instagram. The sampling technique uses nonprobability sampling with an incidental sampling method. Data were collected by distributing a questionnaire consisting of 20 question indicators via Instagram stories; then, the data was measured using a 1-5 Likert scale and processed using Multiple Linear Regression analysis. The findings showed that the variables influencer type, brand familiarity, and sponsorship disclosure are factors that influence the purchasing intentions of Instagram users in Surakarta. Social Media Influencers such as Instagram have an effective impact on marketing strategies.
Analisis persepsi Generasi Z terhadap pembelian pakaian bekas pada sosial media di Indonesia
Authors: Julia Sefira Rachma , Zunaedi Rizqa Amelia , Putra Perdana Suteja
Published: August 2024

The development of fashion trends in Indonesia is experiencing rapid growth; one of the growing trends in the fashion industry today is "Thrifting." Thrifting is an activity of shopping for used clothing that is still suitable for use to help reduce textile waste, increase environmental awareness, and create a unique fashion style. This study aims to determine what factors influence Generation Z's intention to purchase secondhand clothing on social media in Indonesia. The sampling technique in this study was purposive sampling, and the sample size was 200 respondents. The data collection technique was done by distributing questionnaires online to Generation Z living in Indonesia. The results of this study indicate that Social Environmental Awareness, Need for Uniqueness, and Brand Awareness have an influence on the Intention to Buy Secondhand Clothing influencing Purchase Behavior. Meanwhile, preconceptions about secondhand clothing and social prestige do not influence the intention to buy secondhand clothing.
Peningkatan perekonomian masyarakat melalui pelatihan ecoprint pada Ibu-Ibu PKK di Desa Jetis, Kecamatan Bandungan, Kabupaten Semarang
Authors: Cahyanti Divania Nur Indah , Ikhrimah Jihan Fara , Wardhani Nava Puspa , Fitriyani Rizka
Published: August 2024

The improvement in the community's economy can be seen from the environmental aspect, where every citizen can take advantage of the natural potential around them. Ecoprint is one of the business opportunities that can be implemented by the community, especially residents of Jetis Village in Bandungan District, where Bandungan is the area that produces the most flowers or ornamental plants, and this is able to help the community make ecoprints. The purpose of this journal or article is to serve as a main step in bridging the Jetis Village community with the wider community and even large entrepreneurs who can look at the business potential that exists there. Using the lecture method, Ecoprint was first socialized to target PKK women representing all hamlets in Jetis Village with the aim of obtaining clear information about the purpose, objectives and method of making this ecoprint and then continued with the practice of making ecoprints. This socialization was held to increase the knowledge and skills of Jetis Village PKK mothers in making ecoprint batik on cloth media.
Pembuatan eco-enzym sebagai alternatif pengolahan limbah rumah tangga bagi masyarakat Desa Sraten
Authors: Izzati Nusaibah , Sarii Rika Purnama , Rahmadani Laela Ardiana , Firmansyah Mohamad Novan , Susapti Peni
Published: August 2024

An environmental issue that Indonesia still needs to handle is waste. The amount of collected waste increases along with the increase in population. Around 60% of waste falls into organic waste, which will cause methane gas and lead to greenhouse emissions if not processed correctly. Converting organic waste into eco enzymes is a way to protect the environment. Therefore, we will socialize about the dangers of waste to society so that waste can be processed properly, and it will be even more profitable if valuable products can be obtained. This research used the Participatory Action Research (PAR) method, where the society was the participant and the KKN students were the researchers. Eco enzyme products can be categorized as successful after a three-month fermentation process if the liquid changes colour to brown and mould grows on the surface.
Effect of increasing vinasse doses, in association with different harvest times, on sweet sorghum production
Authors: PEREIRA Ayrton Dourado , TAVEIRA José Henrique da Silva , FERNANDES Patrick Bezerra , SILVA Patrícia Costa , COSTA Adriana Rodolfo , ARAUJO Carolina Marques Costa , GIONGO Pedro Rogério , GURGEL Antonio Leandro Chaves , CORIOLETTI Níbia Sales Damasceno
Published: August 2024

The aim of this study was to verify the effect of increasing vinasse doses and different harvest times on the production of sweet sorghum (Sorghum bicolor, L. Moench) grown in clayey soil. The experiment was carried out in the experimental area of the Universidade Estadual de Goiás, Brazil. The experimental design used was completely randomized, in a factorial scheme, set up as follows: five doses of vinasse (0, 50, 100, 150, and 200 m³ ha-1) and two harvest times (69 and 90 days after sowing). There was a 19% increase in forage biomass 90 days after sowing. A vinasse dose effect on forage biomass was observed (p = 0.008); thus, as vinasse supply increases, forage production increases as well. For juice yield, there was an interaction between harvest time and vinasse doses (p = 0.035); 69 days after sowing, a juice production of 6.97 m³ ha-1 was estimated when 190 m³ ha-1 of vinasse was used. Regardless of harvest time, using vinasse in increasing doses promotes significant increases in the production of sweet sorghum biomass. Although the flowering regulator inhibited panicle production, it did not lead to increases in juice production 90 days after sowing.
Eksplorasi Etnomatematika Permainan Tradisional Kartu Wayang Umbul
Authors: Hasanah Uswatun , Basri Hasan , Muplihah Muplihah , Ramadhani Ahmad Rizky
Published: August 2024

Tujuan penelitian ini adalah untuk menganalisis dan mendeskripsikan unsur- unsur etnomatematika pada permainan tradisional kartu wayang umbul. Penelitian ini dilakukan dengan metode penelitian kualitatif dengan menggunakan pendekatan etnografi. Instrument pada penelitian ini adalah mengumpulkan data, literatur, dokumentasi, observasi dan wawancara. Etnomatematika pada permainan tradisional kartu wayang umbul diidentifikasi   melalui observasi dan dokumentasi, dan nilai-nilai budaya yang ada melalui wawancara dan literatur. Hasil penelitian menunjukkan bahwa pada permainan tradisional kartu wayang umbul terdapat beberapa unsur-unsur matematika (etnomatematika), yaitu: konsep bangun datar, konsep bilangan bulat positif, sifat kongruensi, operasi pembagian, konsep bilangan/angka satuan, dan konsep perbandingan. Melalui kegiatan permainan kartu wayang umbul dalam pembelajaran matematika nampak bahwa permainan tradisonal kartu wayang umbul dapat digunakan untuk mengajar matematika dengan cara yang lebih kontekstual.
Relationship between pre-primary centres’ implementation of the policy guidelines on the provision of infrastructural facilities and the acquisition of basic competencies among pre-primary learners in Kenya
Authors: Risper Kerubo Onchiri  , Benson Charles Odongo  , Charles Makori Omoke
Published: August 2024

The study examined the relationship between pre-primary centres’ implementation of the policy guidelines on the provision of infrastructural facilities and the acquisition of basic competencies among pre-primary learners in Kenya. The study target population consisted of 37 primary head teachers and 111 pre-primary teachers, one County Director of early childhood and 2 Quality Assurance Officers in Early Childhood in Kisii Central Sub- County. Saturated technique was used to select the whole population as sample size. The face, construct, and content validity of the instruments was determined through the expert judgement of university supervisors. Reliability of the research instruments was determined by test-retest method and a reliability coefficient of 0.734 was reported. Questionnaires, interview schedule, and document analysis was administered to collect data. Quantitative data was analysed using descriptive statistics such as frequencies and percentages and inferential statistics such as Pearson correlation coefficient. Qualitative data was analysed using thematic analysis. The study findings established those overall combined infrastructural facilities ahad statistically significant positive, but moderate correlation (r=.569, p=.000) with acquisition of core basic competencies among the learners in ECD centres. The Ministry of Education in collaboration with the parents and other education stakeholders should ensure that ECDE infrastructural facilities, including spacious and well-tendered classrooms, playground, toilets, and furniture are available in adequate amount and also in good condition.
Implementasi Aplikasi Company Profile Desa Agrowisata Berbasis Android
Authors: Putra Andre Mariza
Published: August 2024

Pariwisata menjadi slah satu sektor yang menyumbang kemajuan ekonomi. Salah satu jenis pariwisata yang mulai banyak diminati wisatawan adalah Agrowisata. Agrowisata memiliki beragam variasi, seperti menawarkan pembelajaran di bidang teknologi agronomi, perkebunan, perikanan, petemakan, juga sebagai sarana hiburan masyarakat sekitar. Namun keterbatasan jangkauan promosi dari pengelola maupun pemilik  menjadikan jenis wisata ini belum banyak diketahui. Aplikasi company profile diharapkan dapat menjadi salah satu media promosi untuk memperkenalkan agrowisata tersebut. Aplikasi dibuat berbasis android karena masyarakat rerata merupakan pengguna android saat ini. Harapanya dengan adanya aplikasi tersebut, agrowisata dapat diketahui masyarakat luas dan menjadi salah satu tujuan wisatawan untuk berlibur
Sistem Pakar Diagnosis Penyakit Anak Menggunakan Metode Certainty Factor
Authors: Muzaqi Muhammad Iqbal Da'i , Kiswanto Rahmat Haryadi , Hasan Patmawati
Published: August 2024

Penelitian ini mengembangkan sistem pakar web menggunakan metode Certainty Factor untuk mendiagnosa penyakit anak di puskesmas. Data diperoleh dari studi literatur dan observasi di Puskesmas Twano Entrop. Sistem menggunakan UML, CodeIgniter, dan MySQL. Uji coba pada kasus diare menunjukkan tingkat akurasi tinggi, sesuai dengan diagnosa manual petugas kesehatan. Meskipun uji coba terbatas pada diare, sistem menunjukkan potensi dalam mengidentifikasi penyakit anak lainnya. Diperlukan pengujian lebih lanjut untuk memvalidasi sistem pada penyakit lainnya seperti ISPA, cacar air, campak, dan lain-lain. Penelitian ini memperluas penerapan Certainty Factor dalam diagnosa penyakit anak, mendukung efisiensi dan akurasi dalam pelayanan kesehatan di puskesmas.
Perbandingan Efektifitas Algoritma K-Means Clustering-Topsis dan K-Medoids Clustering-Topsis dalam Menentukan Karyawan IT dengan Kinerja Terbaik
Authors: Kasman Haris Saktiawan , Kusrini Kusrini
Published: August 2024

Perkembangan ilmu pengetahuan dan teknologi yang semakin pesat di era revolusi industri 4.0 mendorong berbagai sektor untuk terus berinovasi berkembang mengikuti jaman, namun di PT. Ises Solusi Teknologi belum adanya metode untuk menentukan kinerja karyawan IT dengan baik. Untuk mengatasi permasalahan ini, diperlukan adanya algoritma yang efisien untuk menilai karyawan IT di PT. Ises Solusi Teknologi, sehingga bisa menentukan kinerja karyawan IT yang berkualitas. Tujuan dari penelitian ini adalah dengan melakukan perbandingan antara dua algoritma clustering sehingga dapat di pilih mana algoritma yang paling efisien untuk melakukan pengelompokkan cluster dan di akhir akan di ranking dengan Topsis untuk menilai kinerja karyawan IT terbaik di PT. Ises Solusi Teknologi. Metode pengelompokkan data kinerja karyawan yang dibuat menggunakan metode clustering k-means, k-medoids dengan menggunakan tiga atribut, yaitu: hasil dari dataset yang dikumpulkan berdasarkan kinerja tugas dan penilaian belajar diambil 3 kriteria profesi keahlian yaitu administrasi perkantoran, digital marketing dan desain grafis, kemudian diolah dengan bantuan google collabs kemudian di akhir menggunakan Sistem Pendukung Keputusan (SPK) Topsis untuk melihat ranking mana karyawan IT Terbaik, Pada tahap berikutnya mencari nilai davies bouldin index memakai bantuan google collabs pada setiap metode yang dipakai untuk melakukan perbandingan serta menentukan metode yang lebih optimal dalam clustering. Hasil nilai yang diperoleh dari metode davies bouldin index di setiap algoritma, yaitu: k-means sebesar -0.350, k-medoids sebesar -1.408, maka algoritma terbaik untuk pengelompokkan data kinerja karyawan IT dalam penelitian ini adalah algoritma k-means, karena memiliki nilai DBI yang terkecil.
Female Subjugation In The Novel Chemmene
Authors: Dalavai Dr. V. R.
Published: August 2024

Thakazhi Sivasankara Pillai's Chemmene is a profound description of life in a traditional Kerala fishing hamlet, focusing on the interplay of caste, gender, and economic oppression. The novel, set against the backdrop of mid-20th century Indian patriarchy, investigates the constrained roles placed on women, as exemplified by the protagonist Karuthamma's sad struggle between personal aspirations and social expectations. The story digs into the psychological effects of enslavement, emphasizing how cultural standards perpetuate women's oppression over generations. Through complex characters such as Karuthamma and Chakki, the novel criticizes patriarchal attitudes and the societal systems that support them. Finally, Chemmene is a fascinating reflection on the importance of gender equality and societal reform, challenging readers to reevaluate long-held practices.
"Reactions And Reflections: The Reception Of The God Of Small Things"
Authors: Dalavai Dr. V. R
Published: August 2024

This article delves into Arundhati Roy's writing career, with an emphasis on her critically praised novel The God of Small Things. The novel, which won Roy the Booker Prize in 1997, is known for its detailed depiction of the cultural and societal aspects of Kerala, India, particularly caste and gender. The essay explores the novel's semi-autobiographical themes, focusing on Roy's childhood experiences in Aymanam, Kerala. Despite its global success, the novel generated outrage in India due to its sexual content. The article also discusses Roy's subsequent writings, her political involvement, and The God of Small Things' considerable influence on Indian and global literature. The novel, with its complicated narrative and powerful storytelling, has become an important text for questions on postcolonial identity. social justice, and literary innovation.
Oedipus Complex in Tagore’s ‘Birpurus’ or ‘The Hero’: A Psychoanalytic Reading
Authors: Bhattacharjee Shubham , Dhar Shreyoshi
Published: August 2024

The Indian poet and philosopher Rabindranath Tagore has been witnessed to get highly influenced by the western education. Being a world poet, he has never restricted himself to the social and cultural developments of Bengal or India alone, but he has always widened his prospects and tried to investigate the Western art, philosophy, and science and their progress. This has directly impacted his art of characterisation in his literary works especially when was been enlightened by the Freudian psychoanalytical theories. It was probably around the year 1915 when Rabindranath Tagore first came to know about Sigmund Freud and his concept. It can never be confirmed accurately that Tagore and Freud had met with each other physically for a long time, yet from a conversation with Kalidas Nag, one can assume that he suggested about a finding related to Freudian psychoanalysis, though he never mentioned the name of Freud directly or the term ‘unconscious’ which is credited as a concept of Freud. However, while discussing about one of his seminal works Chaturanga [Four parts] (1916), his assertion is presented by Santanu Biswas:
Comparative Study of Base Transceiver Stations Infrastructure Planning Using Machine Learning for Under Construction Area: A Case Study of Ibu Kota Nusantara
Authors: Yustin Alfiyah Shaldzabila , Apriono Catur
Published: August 2024

Communication is a fundamental human need that occurs directly or through technologies like telephones and signal transmitters such as BTS and satellites. Satellites, including Starlink, serve as additional solutions for internet access needs, particularly in remote areas, albeit higher costs remain a factor necessitating conventional BTS infrastructure development. Telecommunication operators face challenges in constructing BTS in areas with limited access and complex financial considerations due to low demand in rural areas, requiring careful planning. This study utilizes several supporting variables with the aid of machine learning techniques such as Linear Regression, SVR, Random Forest, and Gradient Boosting to forecast BTS requirements. Comparative analysis shows that the random forest machine learning method provides the best modeling results compared to linear regression, Gradient Boosting, and SVR methods. Despite the superior performance of the random forest method, further fine-tuning is still needed through parameter adjustments and evaluation of variables used to achieve an even better model. The modeling results can be utilized to predict the BTS infrastructure needs in IKN, estimated at 61,135 units. In BTS development planning, mobile operators can collaborate both among themselves and with Internet Service Providers (ISPs) utilizing satellite media. Utilizing shared towers can be an option for cost-efficient BTS infrastructure development.
"Move on"...! The elderly, the contingencies of the street and the aesthetics of existence
Authors: Silva Antônio Batista , Fernandes Raquel , Oliveira Emanuel , Melo Hugo Moura de Albuquerque , Borba Anna Karla , Melo Danielle
Published: August 2024

The objective of this article is to make an in-depth analysis of the experience of old age and/or aging on the streets. This is a case study of descriptive, exploratory character and qualitative approach, which reflects on a specific subjective trajectory of Noel, an elderly man born in Carpina, Zona da Mata de Pernambuco, northeast Brazil. A sociodemographic questionnaire and semi-structured interviews were used to produce data. The narratives were submitted to discourse analysis, anchored in the psychoanalytic perspective. The results of this study encompass social segregation and show that the elderly subject in the course of his life suffered numerous losses, including the death of parents, siblings, rupture of ties and family conflicts, feels abandoned, helpless and that, associated with unemployment and chemical dependence, directly influenced his living conditions, exposed to various vulnerabilities and with fragile health because he is an elderly person and is homeless. Despite his precarious life context, he has a willpower that mobilizes him and drives him to the incessant search for meaning to live.
Comparison between low-cost locally produced complementary foods with high-cost imported complementary foods available in Bangladesh by Rat Bioassay
Authors: Taslima Arzu  , Mohammad Abdus Satter  , Dipak Kumar Paul  , Ariful Kabir Sujan  , Syeda Absha Jabin  , Kanika Mitra  , Dipa Islam  , Mowri Dhali
Published: August 2024

Highly nutritive value contained complementary foods are very important for the children 6-23 months to meet the increasing demands for body requirement as well as fight against high malnutrition. Malnutrition is a persistent health problem among children in Bangladesh, especially under 2 year’s children due to the lack of proper complementary foods both diverse and balanced. Highly nutritive locally produced Complementary foods were prepared by using locally available food resources to ensure the availability of low-cost Complementary food in Bangladesh. The developed foods were evaluated for their nutritional characteristics and microbiological quality. The food (L-1) contained the major nutrients like moisture, ash, fat, protein, fiber, carbohydrate, and energy respectively 2.96%, 3.13%, 9.45%, 15.56%, 0.07%, 59.12%, and 394.1 kcal/ 100 g, and (L-2) 2.08%, 3.09%, 9.3%, 16.09%, 0.08%, 59.74%, and 397.5 kcal/ 100 g, respectively which were comparable to those of the two good quality imported commercial Complementary foods F-1 & F-2. The vitamin A, iron, and calcium contents were significantly different (p<0.05) than the commercial foods. The overall bacteriological status of the prepared and imported commercial Complementary foods was observed to be satisfactory. In rat bioassay, the highest PER and FER were shown in the rats feed on the locally produced instant complementary foods which indicates that it would favorable for the children and good option for the mothers. The costs of the locally prepared Complementary foods are considerably cheaper than the two imported commercial Complementary foods of the same quality and suitable for low-income people of Bangladesh.
Integrating Telemedicine and AI to Improve Healthcare Access in Rural Settings
Authors: Ejike Innocent Nwankwo  , Ebube Victor Emeihe  , Mojeed Dayo Ajegbile  , Janet Aderonke Olaboye  , Chukwudi Cosmos Maha
Published: August 2024

Integrating telemedicine and artificial intelligence (AI) presents a promising solution to enhance healthcare access and quality in rural settings, where limited medical resources and geographical barriers pose significant challenges. This paper explores the synergistic potential of telemedicine and AI technologies in bridging healthcare disparities in rural areas. Telemedicine enables remote consultations, diagnosis, and treatment by leveraging telecommunications technology, significantly expanding healthcare access to underserved populations. AI enhances telemedicine's capabilities by providing advanced diagnostic tools, predictive analytics, and personalized treatment recommendations. These technologies collectively address critical gaps in rural healthcare delivery, such as shortages of healthcare professionals, limited access to specialized care, and delays in diagnosis and treatment. AI-driven diagnostic tools, integrated with telemedicine platforms, can analyze medical data, including imaging, electronic health records (EHRs), and real-time patient monitoring, to assist healthcare providers in making accurate and timely decisions. Machine learning algorithms can identify patterns and anomalies, predict disease progression, and recommend optimal treatment plans, thereby improving diagnostic accuracy and patient outcomes. For instance, AI can help detect early signs of chronic diseases such as diabetes, cardiovascular conditions, and cancer, enabling earlier interventions and better management. In rural settings, telemedicine combined with AI can facilitate continuous patient monitoring through wearable devices and mobile health applications. These technologies collect and transmit real-time health data to healthcare providers, who can then use AI to analyze the data and provide timely interventions. This continuous monitoring is crucial for managing chronic conditions and preventing complications, reducing the need for frequent hospital visits and enhancing patient adherence to treatment regimens. Moreover, integrating telemedicine and AI supports capacity building in rural healthcare systems by providing remote training and decision support for local healthcare providers. AI can deliver tailored educational content and clinical guidelines, empowering rural practitioners with the latest medical knowledge and best practices. In conclusion, the integration of telemedicine and AI holds significant potential to revolutionize healthcare access and delivery in rural settings. By combining remote connectivity with advanced data analytics and decision support, these technologies can overcome traditional healthcare barriers, improve patient outcomes, and create a more equitable healthcare landscape. Continued investment in and adoption of these innovations are essential to realize their full potential and ensure sustainable healthcare improvements in rural communities
Artificial Intelligence in predictive analytics for epidemic outbreaks in rural populations
Authors: Ejike Innocent Nwankwo  , Ebube Victor Emeihe  , Mojeed Dayo Ajegbile  , Janet Aderonke Olaboye  , Chukwudi Cosmos Maha
Published: August 2024

Artificial Intelligence (AI) is revolutionizing the approach to managing epidemic outbreaks, especially in rural populations where resources are often limited. This paper discusses the role of AI in predictive analytics for epidemic forecasting and response in these underserved areas. AI-driven predictive models utilize advanced algorithms and large datasets to anticipate outbreaks, identify potential hotspots, and optimize resource allocation. AI applications in predictive analytics integrate various data sources, including historical health records, real-time surveillance data, and environmental factors, to create accurate epidemic forecasts. These models enhance the ability to predict the spread of diseases by identifying patterns and correlations that traditional methods might miss. For rural areas, where data collection and health monitoring can be challenging, AI offers a crucial advantage by providing actionable insights from limited and disparate data sources. One notable application is the use of machine learning algorithms to analyze patterns of disease transmission and predict future outbreaks. These models can forecast the likelihood of disease spread based on current trends and historical data, enabling timely intervention and preparedness. For instance, AI has been used to predict flu outbreaks by analyzing historical flu data combined with social media trends and environmental factors. Moreover, AI-driven predictive analytics facilitate more efficient allocation of healthcare resources by forecasting demand for medical supplies and personnel. This is particularly valuable in rural settings where healthcare infrastructure is often sparse. By predicting areas at high risk for outbreaks, AI helps prioritize interventions and deploy resources where they are needed most. However, the application of AI in rural epidemic management faces challenges, including data quality issues, the need for robust local data infrastructure, and ensuring equitable access to technological advancements. Addressing these challenges is crucial for maximizing the impact of AI in improving epidemic preparedness and response in rural populations. In conclusion, AI in predictive analytics holds significant promise for enhancing epidemic management in rural areas by providing timely, data-driven insights that improve forecasting and resource allocation. Future advancements in AI and improvements in data infrastructure will further strengthen these capabilities, ultimately leading to better health outcomes in underserved communities.
Reflections on the Doctoral VIVA
Authors: Gupta Ramesh
Published: August 2024

In my experience, the doctoralviva voce(‘viva’) exam (i.e. the oral exam where a candidate discusses and is asked questions about their research) continues to inspire needless anxiety in candidates, the majority of whom are amply prepared to defend their thesis. In this article, I attempt to dispel some of the myths around the viva and offer my experience as an antidote to some of its common characterisations.
The Impact of Job Motivation and Compensation Benefit to Work Productivity of Cleaning Services Staff at RSUD Kabupaten Bekasi
Authors: Astuti Puji , Mulyadi Didi
Published: August 2024

The current challenges of globalization are certainly the demands of every country to be more competitive. Human resources in a country will affect the progress of the country, one of which is the success of the company. The success of a company depends on the level of individual work productivity contained in it. Employee productivity levels are influenced by motivation and compensation. The purpose of this study is to determine the effect of motivation and compensation on the work productivity of cleaning service employees at the Bekasi District Hospital. This research method uses a quantitative approach with data collection in the form of a questionnaire. The total population in this study is 129 employees and a sample of 98 employees. As for the data analysis by instrument test, analysis prerequisite test and hypothesis testing. Based on the results of this study, it shows that motivation and compensation affect the work productivity of cleaning service employees at the Bekasi District Hospital. Motivation and compensation have an effect of 42.4% on employee work productivity. While the remaining 57.6% is influenced by other variables outside of this study. The conclusion of this study is that motivation influences the work productivity of cleaning service employees at Bekasi Regency Hospital, compensation affects the work productivity of cleaning service employees at Bekasi Regency Hospital, motivation and compensation affects the work productivity of cleaning service employees at Bekasi Regency Hospital.
Interfacial stress analysis in damaged RC beams reinforced whit FRP using artificial neural network method
Authors: Rezki Amara , Atmane Hassen Ait , Bennai Riadh , Nebab Mokhtar , Hadji Lazreg
Published: August 2024

Concrete is the most widely used material in the construction industry across the globe. Its properties, combined with varying climatic and usage conditions, contribute to common issues in reinforced concrete structures, such as cracks, corrosion, and other forms of degradation. Rather than opting for demolition, it is often more efficient and cost-effective to rehabilitate and reinforce existing concrete elements using fiber-reinforced polymer (FRP) plates. Concurrently, the rapid advancements in programming and computational techniques have opened new avenues for engineers to incorporate artificial intelligence (AI) into construction practices. This paper presents an innovative approach that harnesses the power of artificial neural networks (ANN) to predict interfacial shear stresses and normal stresses in damaged reinforced concrete (RC) structures that are strengthened with externally bonded prestressed composite plates. The study takes into account a comprehensive range of factors that influence variations in normal and shear stresses. By implementing AI through ANN techniques, we can simulate the predictive capabilities of the human brain, effectively forecasting stress variations and providing solutions to complex structural problems. This biologically inspired methodology enhances the accuracy and reliability of our predictions. It has been found that this prediction method yields fairly acceptable results based on a reference database used for the prediction program. The results indicate that this AI-driven approach not only offers a viable alternative to traditional methods but also holds significant promise for future applications in the field of structural engineering.
The investigation the influence of the fiber son the evolution of mechanical properties of the concrete affected by high temperature by destructive and non-destructive test method
Authors: Hassiba Belaribi , Boudina Tounsia , Allout Naas
Published: August 2024

This paper presents an experimental examination of the effect of high temperatures on concrete prepared with different fibers types. For this study the concrete were prepared with four types of fibers (Steel, polypropylene, carbon and the combination of several types of fibers) and water/cement ratio fixed (w/c of 0.35). Specimens were heated under five different temperatures: 20 °C (ambient temperature), of 200 ºC, 300, 400 ºC and 600 ºC respectively. The following settings: compressive strength, ultrasonic pulse velocity, rebound hammer, concrete mass loss, and water porosity were examined in this Research experimental. Also A scanning electron microscopy study was used to comprehend the change in texture. The cracks were also examined using a microscope and other methods. This article is a contribution to the general understanding of the impact of fibers in high temperature concrete and highlights the significant impact of different types of fibers on the physical and mechanical properties of concrete who they were explore using destructive and nondestructive methods.
Exploring the scientific context of pulmonary tuberculosis in humans and malnutrition: a bibliometric analysis
Authors: Sabóia Rafaella Santos , Ferreira Dayenne Regina Mota , Lira Roseane Lustosa de Santana , Nogueira Flávio Augusto Barros , Melo Bruna de Oliveira de , Campos Rosália de Fátima Penna de Carvalho , Santiago Luis Ângelo Macedo , Lima Neto Lídio Goncalves , Silva Luís Cláudio Nascimento da , Lima Rafael de Abreu , Carvalho Rafael Cardoso , Zagmignan Adrielle , Sousa Eduardo Martins de
Published: August 2024

This study aimed to provide a bibliometric analysis of the literature on pulmonary tuberculosis in humans. An extensive search of articles on the subject was carried out through the Web of Science, Scopus, CINAHL, and Medline/Pubmed database using a series of keywords, including publications from 2012 to 2022, in English. Publication quality was analyzed using impact metrics, productivity metrics, and mapping to word density and author network. Of the 224 selected articles, most are from the United States, Ethiopia, and the United Kingdom and had international collaboration, the average of articles published in the last 5 years is 3 publications/year, with a publication peak in 2021, we identified 11 subject areas, highlighting: Medicine with 104 publications, Biochemistry and Nursing with 23 publications each, the H-index, represents the number of citations received for each of the articles in descending order, showed 37:37 citations. In the mapping for word density or connection strength, of the 542 terms, 20 words were selected because they presented more expressive density. We conclude that although tuberculosis is a much-discussed topic, little is related to the predictor word malnutrition, which makes it possible to perceive that there is little research focused on the relationship between the terms. Therefore, more studies must be carried out with this bias, as this way there will be an expansion in the range of information on the subject, which may provide a more appropriate approach and treatment for the patient.
Structured Reflection Tasks for Transformative Language and Culture Learning
Authors: Fabbian Chiara , Carney Emanuela Zanotti
Published: August 2024

Drawing on research at the intersection of adult transformative learning and language education, this article argues that by triggering metacognitive processes, language awareness, and perspective transformation, structured reflection (SR) tasks across language and culture curricula contribute to the development of learners as interculturally competent world citizens rather than global human capital. As their learning objectives align with the 2022 Council of Europe's recommendations on intercultural education, SR should be part and parcel of teachers’ training. This qualitative study seeks to offer a theoretical framework and a discussion of best practices to help educators implement SR tasks into the language curriculum.
Friends or Foes: Gendered Environmental Relationships in Italo Calvino's La Speculazione Edilizia
Authors: Santucci Daniele
Published: August 2024

In this article, I conduct an analysis of the characters of Italo Calvino's La speculazione edilizia. I specifically focus on their relationship with the natural environment to highlight gender-related differences. I argue that while men are more inclined to be seduced by the material gain of real estate speculation that damages the environment, women actively demonstrate their commitment to environmental protection and display a strong connection to nature that is neither subordinate nor passive. Through my analysis, I demonstrate how women offer male characters a chance for redemption through the awakening of their emotions, in a consistent effort to establish a human relationship that parallels the retrieval of a lost environmental one.
Codifying DEIJ values in a National Research-informed Training Effort
Authors: Ward Maranda C. , Singh Sheel
Published: August 2024

Translating DEIJ values into practice presents significant hurdles, particularly in embedding these values into workplace culture, institutional practices, and research methodologies. Nevertheless, numerous opportunities remain available to enact meaningful change. This methods paper outlines the strategies employed to integrate institutional values of diversity, equity, inclusion, and justice (DEIJ) into the development of the Two in One: HIV and COVID-19 Screening and Testing Model, a national research-informed training effort. Named for its goal to routinize both COVID vaccine and HIV screening and testing in one primary care visit, the Two in One team prioritized DEIJ principles to collectively produce innovation, excellence, and applicability. Highlighting the deliberate translation of DEIJ institutional values, this paper emphasizes the significance of an intentional approach to cultivate equitable and inclusive research and training practices. By adopting a DEIJ perspective and acknowledging the communities most affected, we demonstrate how the Two in One Model purposefully incorporated DEIJ values into the development of our program and research initiatives.
FREQUENCY OF CLINICAL SYNDROMES IN CHILDREN WITH CONGENITAL HEART DEFECTS ADMITTED AT TERTIARY CARE HOSPITAL
Authors: REHMAN ZU , HAMID M , KHAN A , GUL S , ALI S , AHMAD I , ULLAH S
Published: August 2024

Congenital Heart Disease, more commonly known as CHD, is among the most common forms of heart disease that affect children as well as adults. Objective: The study's primary purpose is to find the frequency of clinical syndromes in children with congenital heart defects admitted at tertiary care hospitals. Methods: This retrospective observational study was conducted at MMC Teaching Hospital Peshawar from January 2023 to June 2023. Data were collected from 295 patients suffering from CHD and admitted at tertiary care hospitals.  Children aged 0-18 years and with confirmed diagnosis of CHDs via echocardiography, cardiac MRI, or cardiac catheterization were included in the study. Patients who underwent heart surgery before initial diagnosis at the study hospital were excluded.  Data were collected from hospital records, including demographic information, clinical presentation, type of congenital heart defect, associated clinical syndromes, and comorbidities. Results: Data were collected from 295 patients. Patients with congenital heart defects (CHDs) were young children, with 64.4% aged between 0 to 5 years. There was a slight male predominance, accounting for 54.2% of the patients. Cyanosis was most prevalent in patients with Tetralogy of Fallot (77.8%), while heart failure was commonly observed in those with Ventricular Septal Defect (44.4%) and Coarctation of the Aorta (50.0%). Growth retardation was significantly associated with Tetralogy of Fallot (44.4%) and Ventricular Septal Defect (27.8%). Conclusion: It is concluded that children with congenital heart defects experience a high frequency of clinical syndromes, necessitating early diagnosis and specialized, multidisciplinary care. Tailored management strategies based on specific CHD types can significantly improve these patients' health outcomes and quality of life.
Çocuklarda Travma Sonrası Stres Bozukluğu ve Hemşirenin Rolü
Authors: Küçük Semra , Gözen Duygu
Published: August 2024

Büyüme ve gelişme sürecinde olan çocuklar farklı farklı travmalara maruz kalabilmekte ve bu çocukların bazıları birkaç hafta içinde travmanın etkilerini atlatabilirken, bazılarında ise travma sonrası stres bozukluğu belirtileri görülmektedir. Çalışmalarda çocuk ve ergenlerde travma sonrası stres bozukluğu görülme sıklığının %30 - %40 arasında olduğu bildirilmektedir. Çocukluk travmalarının yarattığı olumsuz duygu yükünün yetişkinlikte depresyon, anksiyete, alkol ve madde bağımlılığı, cinsel işlev bozuklukları, intihar düşünceleri gibi sorunlara neden olabileceği bilinmektedir. Bu sorunları önleme ve iyileşme sürecini hızlandırmada, erken dönemde tanı konulması, tedavinin başlatılması ve uygun hemşirelik yaklaşımları ile mümkündür. Travma sonrası stres bozukluğu tanısı alan çocuklara verilen kapsamlı hemşirelik bakımının önemli olmasının yanı sıra, bu çocukların travmaya neden olan durumdan yeniden etkilenmesinin önlenmesi de hemşireler açısından dikkat edilmesi gereken bir çekincedir. Bu kapsamda hemşirelerin bu çocuklara hangi hemşirelik girişimlerini uygulamaları gerektiğine yönelik bilgi sahibi olmaları büyük önemlidir. Uygun hemşirelik yaklaşımı bu çocukların gelecekte daha mutlu ve sağlıklı bireyler olarak yaşam sürmelerine yardımcı olacağı gibi toplum ruh sağlığı açısından da büyük önem taşımaktadır. Bu derleme, travma sonrası stres bozukluğu olan çocukları doğru değerlendirebilme ve uygun hemşirelik yaklaşımını planlama için hemşirelere bilgi vermek ve literatüre katkı sağlaması amacıyla hazırlanmıştır.
The acceptance of a wiki site as a learning platform in English exam training
Authors: Liashenko Maria , Öztok Murat
Published: August 2024

The development of computer mediated technologies facilitated the paradigm shift in the culture of working and learning. Due to these changes, language education is also going through the development beyond the communicative approach to more complex and dynamic action-oriented approaches. There arises a necessity to explore how language teaching and learning, which are guided by new strategies, can be mediated through technology. This research proposes the deployment of a wiki site as a “learning platform” the design of which is underpinned by the principles of networked learning (NL). A wiki-site created by the teacher will be deployed as a platform for language learning and exam training. The study explores students’ perceptions of accepting a wiki site as a learning platform for IELTS (International English language testing System). The previous research has pointed to the fact that wiki as an educational technology has not been used for improving IELTS training so far. So, before large-scale implementing of it on a regular basis at the formal university level, it is necessary to explore whether students accept or reject this information technology as an educational tool. Taking a pragmatic view of NL approach allows the authors to start with exploring the needs of learners involved in NL environments so that a teacher could co- construct the knowledge about the design together with the learners. Technology acceptance model was used to gather the data via an on-line survey. The participants are undergraduates from different faculties who voluntarily and anonymously took part in the research. The survey included the questions about the main TAM constructs: perceived ease of use, perceived usefulness, attitudes, intentions and expectations. The research reports a high level of agreement on easiness and usefulness of wiki sites, with the latter sub-construct having a higher rate of agreement among the respondents. Overall, students are reported to have high expectations of a wiki technology used for practising exam skills. However, there is evidence of some less positive outlook in terms of students’ prior experience of wiki in their studies. Despite some limitations, the paper reveals favorable students’ perceptions and proposes implications for further wiki deployment