Immaculata University

This study examined the relationship between teacher retention and spirituality among 221 randomly selected teachers within the Bohol Association of Catholic Schools (BACS, Bohol, Philippines. Utilizing a descriptive-quantitative design, data were collected via survey questionnaires and analyzed using weighted mean and Pearson Correlation Coefficient. The demographic profile revealed a majority of young, female, permanently employed baccalaureate holders with an average of five years of service. Results indicate a high level of spirituality among respondents, characterized by a personal connection to God and a commitment to the school’s religious mission. Furthermore, a significant correlation was established between spirituality and teacher retention. Key findings highlight that integrating faith-based values into the curriculum and providing spiritual support systems are primary drivers for retention. Additional factors contributing to faculty stability include a supportive school culture, professional development, and manageable workloads. The study concludes that teachers are more likely to remain when their spiritual values align with the institution's mission. Recommendations include reinforcing faith-based integration and spiritual support to enhance long-term teacher commitment.

چکیدهافغانستان یکی از زلزله خیزترین کشورهای جهان است که در کمربند اوروجینی فعال آلپ -همالیا، در نقطه اتصال پلیت تکتونیکی هند، یورشیا و پلیت عرب قرار دارد، به همین دلیل، افغانستان در معرض سطوح بلند از فعالیتهای سایزمیکی و زلزلهها قرار گرفته و در گذشته زلزلههای مخرب زیادی را تجربه کرده است. شهرهای آن در رابطه با این بلای طبیعی آسیبهای فراوان دیده اند، کابل به عنوان مرکز کشور نه تنها از این قاعده مستثنی نیست، بلکه با توجه باوجود شکستگیهای متعدد، تراکم ساخت وساز، جمعیت متراکم، عدم رعایت استندردها، توسعه فزیکی نامناسب باخطر جدی مواجه است. با استفاده ارزیابی خطرات زلزله در بلاک تکتونیکی کابل را شامل میشود که خطرات زلزله به اساس مدارک زلزلههای گذشته در سالهای 734میلادی الی 2021میلادی در ساحه بوقوع پیوسته است، و شکستگی های فعال که سبب وقوع زلزلهها در ساحه گردیده اند، استفاده ازسیستم اطلاعات جغرافیایی( )GISبه میتود ارزیابی خطرات سایزمیکی به روش قطعی یا ( )DSHAارزیابی گردیده است. نتایج بدست آمده از تحقیق ضریب PGAدر سراسر نقاط بلاک کابل نظر به دو فکتور زلزلههای واقع شده در محدوده مطالعه و شکستگیهای تکتونیکی میباشد. نتایج به صورت نقشههای کانتوری نشان داده شده است و بلند ترین رقم PGAدر محدوده مطالعه به 0.778و پایین ترین رقم 0.033میباشد که مقادیر بلند تر PGAدر قسمت های مرکزی(شهر کابل) را دارد. به همین دلیل برعلاوه نقشههای کانتوری ساحه مورد مطالعه نقشه کانتوری ساحات شهری شهر کابل نیز تهیه شده که ضریب PGAرا در نقاط مختلف شهر کابل ارائه میکند. واژه های کلیدی: ارزیابی خطرات ،زلزله،کابل،

Abstract This article is structured around snapshots of everyday life in reception centres for asylum seekers. These set the tone of the sonic and affective dimensions of the experience of the centre, as narrated by a resident, a music teacher, and through ethnographic reflections. The article devises ‘voice’ as a distinct category of the sonic spectrum, imbued with the significance of testifying to human existence, in a twofold way: first as a theoretical lens that offers new perspectives on the asylum seekers’ paradigm, and second, as a methodological tool to gain insights into aspects of everyday life in a reception centre, and by extension gaining access into ‘other’ social worlds that would otherwise remain concealed.

Abstract The island of Ireland has been highlighted as one of the most nature depleted areas on Earth1, however it has significant potential for largescale nature restoration2. However, there remains uncertainty around which species naturally colonized Ireland after the last glacial maximum period, particularly large herbivores3. This study reports an ancient sedimentary DNA record from the Mesolithic in Ireland (10,000 years ago) up to the present day, from a lake core taken at Lough Feeagh, in the West of Ireland. The plant DNA results reveal a changing landscape, with hazel and oak being dominant in the early Holocene, with the highest diversity of tree species in the Bronze age, and also builds on previous work suggesting hornbeam may be a native tree. The mammalian DNA detected confirms many known Irish species such as red deer, wild boar and wood mouse, and suggests the later survival of some arctic fauna into the Holocene, namely reindeer and arctic fox. It also suggests the possible presence of aurochs in early Holocene Ireland. Aurochs were keystone species in ancient Europe4, but definitive evidence of their presence in Ireland has previously been lacking. Additionally, the DNA record for fish confirms a number of known species, such as Atlantic salmon and stickleback, but also suggests that pike may have been in Ireland earlier than conventionally accepted. These findings open up new possibilities for the restoration of nature in Ireland, revealing a more biodiverse baseline for restoration efforts to benchmark against

Cardiovascular diseases, particularly heart attacks, remain one of the leading causes of mortality worldwide. Timely prediction and intervention are critical for reducing the morbidity and mortality associated with these conditions. Machine learning techniques, particularly neural networks, have shown promise in predicting cardiovascular events based on various risk factors and medical data. This study aims to develop an accurate predictive model for identifying individuals at risk of heart attacks using neural networks.The dataset used in this study comprises a comprehensive collection of demographic information, clinical variables, and medical history of patients, obtained from various sources including hospitals, clinics, and research databases. Feature selection techniques were employed to identify the most relevant predictors contributing to the occurrence of heart attacks. The dataset was pre- processed to handle missing values, normalize features, and mitigate class imbalance issues.A feedforward neural network architecture was chosen for its ability to handle complex nonlinear relationships within the data. The neural network model was trained using a subset of the data and validated using k-fold cross-validation to assess its generalization performance. Various hyperparameters such as the number of hidden layers, neurons per layer, and activation functions were fine-tuned using grid search and randomized search techniques to optimize model performance.The results demonstrate that the neural network model achieved high accuracy and AUC-ROC score in predicting heart attacks, outperforming traditional risk prediction models. The model exhibited robustness across different evaluation metrics and demonstrated good calibration and clinical utility.

This paper analyses the study of Ganju community people and highlights social oppression and exclusion by the high class people. This novel centers on the Struggles of Dalit women and their oppressions. This brings out how the marginalised community and economically down- trodden people are oppressed by the higher class people in the same village. Mahaswetha Devi portrays the sufferings inflicted by the society on the downtrodden women who are abandoned by their families. It depicts the socio-economic system of Post-colonial India. This paper attempts to analyses the text through the gendered lens of 'women hood'. All the women portrayed in Rudali have undergone similar agony, humiliation, ecstasy, rejection and dejection. Rudali is a heart touching tale of the women in society whose life is fraught with poverty of numerous kinds. The woman suffers whether as a mother, wife, friend and grandmother. Mahaswetha Devi dealt with the great achievement in showing the fake nature of the society.

This paper examines with Nectar in a Sieve.Famous Indian novelist Kamala Markandaya is renowned for her distinctive combination of substance and narrative techniques. She was raised in a little Indian hamlet and became well-known for her brilliant literary works that brilliantly captured the passion and tragic fate of rural India.In addition to writing several short stories and working as a journalist, Markandaya is the author of eleven books. Her debut novel, Nectar in a Sieve, ends up becoming a masterpiece and a best-seller.The main themes of the book were the devastation and death brought out by poverty and hunger.Feminism emerges as a subtle yet significant theme,as Rukmani and the women around her navigate the traditional gender roles and societal constraints.kamala Markandaya paints a poignant portrait of Rural. Therefore, the study focuses on the fundamental traits of rural India through the experiences of countless Indian villagers who endure extreme poverty, starvation, and exploitation.

Irene, the protagonist in Herta Müller’s Reisende auf einem Bein (1989), experiences her flight from Eastern European communism to the capitalist West as a continuous journey which also extends into her everyday life in West Berlin after her arrival. She finds herself suspended in a moment of halting transition, characterized by a sense of stasis rather than the vision of a better future. The latter also applies to Carl, the main character of Lutz Seiler’s novel Stern 111 (2020), when he lives through the ‘Wendezeit’ after the fall of the Wall in Gera and Berlin-Mitte. However, both texts also create poetic forms of lateral agency, with the potential of change. These include different forms of physical movement, giving the protagonists access to encounters and perceptions that deviate from familiar social patterns, thus allowing for new foci of interaction and potentially enabling new relational networks and forms of interaction. In my contribution I will compare the journey in Müller’s Reisende with that undertaken in Stern 111. Drawing on Lauren Berlant’s concept of lateral agency and Karin Sorko’s understanding of dual system criticism, I will analyse processes of human interaction and belonging that differ from those associated with socialism and capitalism in the two narratives. Furthermore I will ask whether such lateral agency constitutes a form of political agency.

Hospitalized patients with dementia are more likely to be discharged to long-term care compared to persons without dementia. Little research has been conducted to examine the associations of caregiver preparedness and strain with desire to seek long-term care in hospitalized persons with dementia at discharge. The purpose of this study was to examine caregiver preparedness and strain as factors associated with desire to seek long-term care admission in caregivers of persons with dementia at hospital discharge. Patient baseline and discharge data, and caregiver discharge data of 424 patient and caregiver dyads from a cluster randomized trial was used. Stepwise multiple linear regression was conducted to examine factors associated with caregiver desire to seek long-term care. After controlling for caregiver and patient characteristics, lower caregiver preparedness (β=-0.069; p<0.016) was significantly associated with increased desire to seek long-term care. Findings underscore the need for clinicians and service providers to provide further attention to caregiver preparedness throughout the course of hospitalization.