bluuebunny/crossref_metadata_2025 huggingface dataset:
Eksplorasi Sejarah dan Arsitektur Candi Kembar Batu: Kajian Arkeologi dan Nilai Budaya
Authors: Angelica Rytu Aureli , Fahreza M. Rifki , Fikri M. Azizul , Prayuda Farhan David , Syamsiah Syamsiah
Published: January 2025

The Candi Kembar Batu, located in Muaro Jambi, is an ancient temple complex that represents the cultural and historical legacy of the ancient Jambi Kingdom. This article explores the history, architecture, and archaeological significance of the site, as well as its cultural values. The research method used includes a historical approach, analysis of archaeological data, and evaluation of the site’s architecture. Findings indicate that Candi Kembar Batu reflects a blend of Hindu-Buddhist influences and local Jambi traditions. The temple's unique design and its surroundings provide valuable insights into the religious, social, and cultural life of ancient communities in the region. The study also highlights the temple's potential role in the broader context of Southeast Asian religious architecture.
Pengaruh Beban Kerja, Pelatihan Kerja, dan Kemandirian Karyawan terhadap Produktivitas Kerja Karyawan CV. Ulur Wiji Muda Berdaya di Kemlagi Kabupaten Mojokerto
Authors: Suryansyah Ismu Abdi , Setyaasih Setyaasih , Cahyani Diah , Muzrifah Risa Amalia
Published: January 2025

This research aims to identify the variables affecting the productivity of employees at CV. Ulur Wiji Muda Berdaya Mojokerto, whether partially, simultaneously, or dominantly. The study uses a quantitative approach. The research method employed is a survey method, with a questionnaire as the data collection tool and a sampling technique called saturated sampling. The effects of workload, job training, and independence also influence and determine the effectiveness of their impact on productivity. This is consistent with the respondent's research in this study, which indicates that workload plays a crucial role in employee productivity at CV. Ulur Wiji through several indicators and is stated to have a positive effect on increasing employee productivity. In the job training process at CV. Ulur Wiji, the variable values positively influence the increase in employee productivity through several indicators. The impact of employee independence at CV. Ulur Wiji shows that the variable values positively influence the increase in employee productivity through several indicators.
PEMBERDAYAAN DESA OLEH SISWA SMK MELALUI PELATIHAN JALAN DESA
Authors: Sabaruddin Sabaruddin , Hakim Raudha
Published: January 2025

Kegiatan pengabdian masyarakat ini dilakukan sebagai implementasi program pengabdian kepada masyarakat oleh program pascasarjana UNKHAIR, dengan tujuan menjembatangi dunia pendidikan dan kepentingan masyarakat baik jangka pendek maupun untuk jangka panjang, kegiatan pengabdian dilakukan menggunakan metoda atau teknik pengabdian yakni memberikan pengetahuan melalui ceramah dan diskusi mengenai jalan desa, dan juga memberikan pelatihan tentang jalan desa. Melalui pengabdian ini diperoleh adanya peningkatan kemampuan siswa dalam teknologi konstruksi jalan, sehingga kedepan diharapkan mampu membangun infrastruktur jalan desa yang baik, yang akan meningkatkan kualitas hidup masyarakt desa sebagi bagian pengembangan potensi desa.
Relevansi Keberadaan Pidana Penjara dalam Perspektif Hukum Islam dan Hukum Adat
Authors: Khasanah Maui Dhotul , Amelia Marisa , Mutiarani Diani , Alkaff Fitriyah , Syamsiah Syamsiah
Published: January 2025

Imprisonment is a normal form of sanction applied in the modern legal system. However, its existence is often debated from the perspective of Islamic law and customary law, which have different approaches to upholding justice in redressing violations. This research aims to analyze the concept of imprisonment in Islamic law and customary law, including its normative, philosophical basis and application in society.
In Islamic law, the main emphasis is on restorative justice through hudud, qisas, and ta'zir, while customary law places more emphasis on resolutions based on deliberation, peace, and restoration of social relations. This research uses qualitative methods with a normative and sociological approach, and combines analysis of Islamic doctrine, customary nuoma, and legal practices in Indonesia. The results of this research show that imprisonment is not actually regulated in Islamic law or traditional customary law, but its existence can be adjusted as a form of ta'zir or dynamic adaptation of customary law. However, the application of imprisonment must still consider the values ​​of justice, humanity and local wisdom. It is hoped that this research can contribute to the development of criminal law that is harmonious with Islamic values ​​and customs in Indonesia.
Improving Students’ Vocabulary Mastery by Using Realia at The First Semester of Pharmacy Program
Authors: Deviga Lidia , Ardhani Radian Arum
Published: January 2025

This study of the research is aims to find out: 1) the improvement of the students’ vocabulary mastery by using realia at the first semester of pharmacy program in STIKES Bhakti Husada Mulia Madiun. 2) the effect of teaching learning process when the teaching vocabulary by using realia. The researcher conducted a classroom action research from October to December at the first semester of pharmacy program. The subject of the research of the first semester pharmacy program that consist of 22 students. researcher using four English skill, mainly: planning, implementing, observing and reflecting. The data was analyzed in qualitative and quantitative method. The qualitative data were obtained from observation sheet, While the quantitative data from the result of vocabulary test. it was carried out in two cycle and each cycle was carried out in one meeting. The researcher makes four steps. There are: planning, implementing, observing and reflecting. The instrument used were the vocabulary test, and observation. The finding indicated that using realia could improve the student’s vocabulary mastery. in the preliminary study there were 0% out of 22 students got scores 75, as the criteria of success. In the first cycle the score increased: there were 13 (58,1%) out of 22 students got scores equal 55 up to 72 and the second cycle, there were 19 (87,09%) out of 22 students were active in teaching and learning process. And get score 75 up to 100. The scores had fulfilled the criteria of success that is 75. Besides that, there were good effect in the teaching and learning process. Such as the students more active in following the teaching and learning process using realia it also improved student’s participant in learning vocabulary and the students could focus more on the lesson.
Reliability of Gait Analyst Pro for Measuring Spatial-Temporal Gait Parameters in Pilgrimages
Authors: Demyati Hanan Ahmed , Radhwan Abdulelah Muneer , Alrubaiani Yasir Abdulaziz , Alshahrani Tamador Ibrahem , Ayoub Tareq Yahia , Khashougji Dina Azam , Alshahrani Raneem Yousef , Saber Mohammed Khalid , Alharbi Mohamed Moslem
Published: January 2025

Background: Accurate gait assessments are critical during events such as the Hajj pilgrimage, where participants walk long distances under challenging conditions, particularly elderly individuals with higher mobility risk. Reliable gait analysis tools are essential for determining whether mobility aids or wheelchairs are needed for support. The aim is to assess the intra-rater and inter-rater reliability of Gait Analyst Pro under both TM and OG walking conditions. Methodology: Seventy participants were recruited from a primary healthcare centre serving pilgrims. Fifty performed TM walking, and 20 completed OG walking. Gait Analyst Pro measured spatial-temporal gait parameters. Intra-rater and inter-rater reliability was analyzed using intraclass correlation coefficients (ICCs). Results: Higher intra-rater reliability was observed for TM walking (ICCs: 0.789–0.854) compared to OG walking (ICCs: 0.505–0.730). Similarly, inter-rater reliability was stronger for TM assessments (ICC = 0.784) than OG assessments (ICC = 0.503), highlighting the impact of environmental variability. A moderate positive correlation (ρ = 0.368, p = 0.009) was found between TM and OG walking speeds. ANOVA results indicated significant group differences for OG walking speeds (p < 0.001), while differences for TM walking speeds were not significant (p = 0.086). Conclusion: Gait Analyst Pro is highly reliable in controlled TM environments, but variability increases in OG conditions. These findings underscore the need for AI-driven validation of Gait Analyst Pro for both controlled and real-world applications, particularly during the Hajj pilgrimage.
Restorative Justice Offer For Money Laundering Cases: Case Study in West Kotawaringin District, Central Kalimantan
Authors: Dah Nur Wakhidah , Sholihah Mida Maratus , Faralita Ergina , Nazir Muhammad
Published: January 2025

The combating of money laundering crimes has become an important issue within the context of law and social justice. The purpose of this research is to analyze the application of restorative justice in handling money laundering cases, specifically within the West Kotawaringin District of Central Kalimantan. Through a multi-perspective analysis, this research explores how restorative principles can be applied within the framework of Islamic law to provide fairer and more effective solutions. The research method employed includes interview, literature review and normative analysis of Islamic legal texts as well as law enforcement policies. The findings indicate that the restorative approach can not only reduce the incidence of money laundering but also reinforce the values of justice and rehabilitation for offenders. Thus, this article offers a significant contribution to the development of both theory and practice in combating money laundering within the framework of Islamic law. However, this study expands the discourse on restorative justice by applying it to financial crimes, a domain where it is less frequently explored. It challenges the conventional perception of money laundering as a strictly punitive matter, offering new insights into its resolution.
Visualisasi Data Conductivity Temperature and Depth (CTD) di Perairan Pulau Bawean pada Bulan Maret – April 2019
Authors: Udin Safarudin , Yanfeto Billy , Olivia Tasya
Published: January 2025

Penelitian ini membahas tentang visualisasi data Conductivity Temperature and Depth (CTD) secara horizontal dan vertikal dengan menggunakan softwere Ocean Data Vew (ODV). Tujuan penelitian ini adalah untuk mempermudah dalam melakukan analisis data terkait distribusi dan perubahan yang terjadi di tiap kedalaman yang berbeda. Data CTD diperoleh dari hasil survei Pusat Hidro-Oseanografi TNI Angkatan Laut disekitar Pulau Bawean pada bulan Maret-April 2019 dengan 16 titik pengambilan data. Hasil visualisasi horizontal menunjukkan temperatur terbesar terdapat pada permukaan air laut sebesar 31,8 °C. Parameter salinitas terbesar terdapat pada kedalaman 35 m sebesar 32,8 psu. Untuk densitas tertinggi ditemukan pada kedalaman 35 m sebesar 1020,4 kg/m³. Selanjutnya parameter konduktivitas tertinggi ditemukan pada kedalaman 35 m sebesar 54,3 μS/cm. Parameter terakhir adalah parameter sound speed atau kecepatan suara nilai terbesar ditemukan pada permukaan air laut sebesar 1543,5 m/s. Sedangkan hasil visualisasi secara signifikan parameter tersebut tidak mengalami perubahan yang sangat signifikan hingga kedalaman 35 meter.
Perhitungan Nilai Low Water Spring (LWS) dan High Water Spring (HWS) pada Bulan Berbeda Menggunakan Metode Kuadrat Terkecil di Pelabuhan Cirebon
Authors: Rabbani Mochamad Rafif Rabbani , Hariwiyadi Stephanus , Yuliardi Amir Yarkhasih
Published: January 2025

Perhitungan Low Water Spring (LWS) dan High Water Spring (HWS) digunakan dalam perencanaan bangunan pantai. Kota Cirebon yang saat ini sedang memacu pembangunannya memerlukan informasi tentang LWS/HWS dalam mendukung pembangunan daerahnya. Data pengamatan pasang surut dengan panjang waktu pengamatan satu bulan yaitu bulan Januari dan bulan Juli digunakan untuk memperoleh perbedaan terhadap nilai LWS/HWS-nya. Sumber data diperoleh dari hasil pengumpulan data Telemetri Pasang Surut oleh Pushidrosal. Pengolahan data menggunakan Metode Kuadrat terkecil (Least Square Method) dengan bantuan perangkat Matlab 7.1. Hasil penelitian menunjukkan nilai LWS/HWS di Pelabuhan Cirebon pada bulan Januari 2024 dan Juli 2024, terdapat perbedaan jumlah konstanta harmonik pasang surut, dimana konstanta harmonik pasang surut bulan Juli 2024 lebih banyak dibandingkan Januari 2024. Hal ini diduga akibat adanya variasi bulanan. Terdapat selisih nilai LWS/HWS antara Januari 2024 dan Juli 2024 sebesar 0,05 m. Nilai ini masih bisa ditolerir sesuai standar survei yang dikeluarkan oleh IHO (2008).
Pengolahan Data Pasang Surut dengan Metode Admiralty di Perairan Sorong Papua Barat
Authors: Anindra Truly Anissa Gadis , Wulansari Nadia Zahrina
Published: January 2025

Penelitian ini membahas mengenai pengolahan data pasang surut Perairan Sorong, Papua Barat pada tanggal 11 Agustus 2021 sampai 8 September 2021. Tujuan penelitian ini adalah untuk mengetahui bagaimana langkah untuk mencari konstanta pasang surut dan untuk mengetahui tipe pasang surut di Perairan Sorong. Pengolahan data pasang surut dilakukan dengan teknik analisis menggunakan metode admiralty dengan menggunakan data 29 piantan yang menghasilkan sembilan konstanta utama pasang surut yang kemudian dapat dijadikan acuan untuk menghitung nilai bilangan Formzahl dan untuk menentukan nilai elevasi muka air laut. Hasil perhitungan dengan metode admiralty menunjukkan bahwa nilai bilangan Formzahl di Perairan Sorong pada tanggal 11 Agustus 2021 - 8 September 2021 sebesar 0.58 dengan nilai elevasi muka air laut MSL sebesar 379 cm, HHWL sebesar 460 cm, dan LLWL sebesar 280cm. Berdasarkan hasil perhitungan tersebut, dapat disimpulkan bahwa tipe pasang surut di Perairan Sorong adalah pasang surut campuran condong ke harian ganda (mixed tide prevailing semidiurnal) dimana terjadi dua kali pasang dan dua kali surut dalam satu hari, namun terjadi juga satu kali pasang dan satu kali surut dengan ketinggian dan waktu yang sangat berbeda.
Motivic System in B. Kanapyanov's Lyrical Works: A Study of Poetic Language and Cultural Synthesis
Authors: Dulatkyzy Moldir Amangeldi , Kadisha Nurgali , Nurmanova Zhanna , Nurgali Rabiga
Published: January 2025

This article explores the motivic system in the lyrical works of Kazakh poet B. Kanapyanov, focusing on the content and structural components of his poetic language. The study aims to describe stable motives through their creation and development in Kanapyanov's poetry, considering both literal and figurative expressions. The authors compare Kanapyanov's motives with general cultural motives, classifying the ways and means of their representation in his literary texts. Special attention is given to the image of the steppe, which is filled with national-specific semantic associations. Kanapyanov's poetry is characterized by genre synthesis, combining strategies from epistolary writing, documentary prose, elegy, philosophical ode, high book style, romantic nostalgia, social pathos, and piercing confession. His poetic heritage includes various genre varieties that allow him to express his worldview fully. Kanapyanov's lyrics are influenced by both nomadic thinking and Russian futurism, with the rhythmic structure of syllabics from Kazakh versification and the clarity and poster-like accent verse from Russian futurism. The categories of memory and conscience serve as ethical assessments of time in his works, while the repeated images of a child, sleep, paths, souls, birds, horses, flocks, mares, and dombra are explained by ethnic stereotypes that create a sense of the author's involvement in his native culture. Folklore and mythological symbolism play a defining role in expressing the national picture of the world and ideological dominants that determine the lyrical hero's dialogue with the world. Kanapyanov's bilingualism and commitment to syllabics as an aesthetic strategy for expressing the national worldview have led to the creation of the "Vekzametry" concept, a collection showcasing his poetic experimentation with ancient, classical forms of versification to reveal his sense of modernity.
Enhancing the Performance of Integrated Solar Wind and Battery System with Grid using Fuzzy Based MPPT
Authors: Likhitha Chowdary N. , Surya Kalavathi M.
Published: January 2025

There is worldwide interest in renewable energy, including solar and wind power, driven by the depletion of fossil fuel and global warming. An alternative source for energy presents availability, cost, and efficiency; however, their integration into hybrid systems becomes challenging due to the intermittent nature of power output. To tackle these matters, fuzzy based Maximum Power Point Tracking (MPPT) controller has been developed. Such an MPPT controller can smooth out weather disturbances for more reliable system operations under changing input or loads conditions. Additionally, a battery connected bi-directional converter makes for effective charging and discharging processes. The grid-connected system also acts as a backup source whenever the hybrid solar-wind system together with its battery fails to meet consumer load requirements. This integration improves overall output efficiency of solar-wind hybrid systems with batteries connected to the grid. In the proposed system there are two cases with the SOC of the Battery is 9% and 50% and maintaining the AC Load power 1000W from 0Sec to 2Sec and 2400W From the 2Sec in both conditions. The efficacy of this scheme is justified through detailed simulation results obtained from using MATLAB software tools which show remarkable performance enhancements in this regard.
Progress of effective utilization of fracturing flowback fluids, Part II: Treatment methods and recycling processes
Authors: Li Guanghui , Yu Hui , Yuan Qiuyan , Shang Jiaxun , Soomro Najeeb Anjum
Published: January 2025

The cost related to water management, from procurement to treatment, accounts for 15% of the total cost of fracturing operations, so the reuse and recycle of fracturing flowback fluid has been a key area of industry concern for cost reduction. The slick water or gel fracturing flowback fluid often contains too many additives and carryovers from the formation, causing great trouble for feasible and economical treatment and recycling processes. Based on “Advances in effective utilization of fracturing flowback fluids, Part I: Direct reuse technology” (Li and Yu 2024), this paper reviews the development status of treatment methods and recycling processes for fracturing flowback fluid from the aspects of treatment strategies, treatment methods and their applicability, and application examples of recycling processes in oilfields worldwide. This study aims to provide guidelines for water resources management in unconventional oil and gas development.
Effect of adsorption capacity on deep shale gas production prediction in Southern Sichuan Basin
Authors: Hassan Abdullahi Kabir , Lou Yuyuan , Xu Hao , Zhu Haiyan , Zhang Fengshou , Wang Lei
Published: January 2025

Shale gas exploration and development at depths exceeding 3,500m is attracting increasing attention, such as the Wufeng-Longmaxi (WL) Formation in Southern Sichuan Basin in China. Understanding the adsorption behavior of methane and accurately quantifying adsorbed and free gas is essential for evaluating recoverable reserves and optimizing gas production from deep shale gas formations. Isothermal adsorption experiments were conducted on six WL shale samples at pressures up to 50 MPa to evaluate the sorption capacity. The primary production of deep shale gas from a horizontal well with realistic fractures was modeled by incorporating formation temperature, pressure, measured sorption capacity, rock compressibility, and other relevant factors. The effects of varying initial reservoir pressure as well as six measured sorption capacities on deep shale gas production over a 10-year period were examined. The excess methane adsorption in deep shale rock samples shows a typical Langmuir-type behavior, peaking around 10 MPa and plateauing near 50 MPa as available adsorption sites approach saturation by methane molecules. Langmuir isothermal adsorption model fits the measured methane adsorption data very well with R² > 0.99 and Langmuir volumes from 2.1 to 3.6 m3/t. Simulation results indicate that a higher shale gas recovery factor is expected for shale gas reservoir with higher initial pressure since production can be sustained at higher levels longer with faster pressure and production rate decline. Higher shale gas sorption capacities extend gas production and recovery by slowing reservoir pressure decline and maintaining stable daily gas production rates over time. This study is helpful for understanding the production performance of deep shale gas reservoirs.
The Impact of Mobile Banking Adoption on Financial Inclusion: A Case Study of Indonesian College Students
Authors: Triyanti Irma , Mardhani Martahadi , Nurjannah
Published: January 2025

This study aims to determine the effect of mobile banking adoption on financial inclusion among students in Indonesia. This study is a type of quantitative research. The sampling method in this study uses a purposive sampling technique with a total sample calculation using the Cochran formula of 400 respondents. The data used is primary data obtained through a digital questionnaire , namely a Google form with a scale Likert . The data analysis method in this study is simple linear regression analysis. The results of this study indicate that the adoption of mobile banking has a significant positive effect on financial inclusion in Indonesian students.
An analysis of health system experts' viewpoints on strategies for dealing with the aging population: A qualitative investigation
Authors: Aiman Shahzad  , Eisha Mubarik
Published: January 2025

Objective: It is critical to develop planning and action plans to deal with future aging in light of the growing trend of aging, the health system's limited resources, the absence of long-term prior government planning, and the slow expansion of the productive force in society. In this sense, the goal of the study was to determine health system specialists' ideas for addressing the aging population.
Methodology 29 Pakistani men and women from Lahore, Karachi, Islamabad, and Faisalabad who were experts in the fields of health and aging willingly took part in the semi-structured interview for the qualitative content analysis research. Data were classified through the use of qualitative content analysis.
Results: The opinions of the experts who participated in the discussion revealed two concepts regarding the approaches taken by the Pakistani health system to deal with future aging: "executive policy" strategies, which include "evaluation and standardization," "design, planning and implementation," "strengthening demand-driven," and "modeling national and international experiences." "Preventive policies" strategies, on the other hand, include "Focus on prevention," "Focus on values and competencies," "Educational empowerment," "Knowledge-based empowerment," "Empowerment of age-related groups," "Economic empowerment," and "Social support."
Conclusion: The extensive variety of approaches discussed suggests that health care must be completely prepared and tailored to the unique needs and circumstances of the aged. Using workable solutions will enable deliberate planning and prompt program and policy implementation to better handle the health system as the population ages in the future.
Keywords: Aging, health system, Pakistan, qualitative, strategy
Organization Psychology Regarding Favoritism in Recruitment and Selection in Pakistan
Authors: Ahmed Zujaj , Awais Syeda Ayesha , Khan Saad Munir , Nawaz Sadaf , Tufail Rao Shahid
Published: January 2025

The purpose behind this study is to investigate how a true leader (self-guideline, self-awareness, and disguised good viewpoint) and outside capabilities (social straightforwardness and balance preparing) impact nepotism, favoritism and cronyism (NFC). The study used a quantitative approach, and respondents were tested from private hotels across the 4 locales of Multan utilizing review surveys. By and large, 4 branch directors and 200 subordinates were examined. The gathered information was dissected utilizing exploratory and corroborative factor examination and numerous relapses was utilized to investigate the impact of valid initiative (AL) capabilities on NFC. On leader's inward abilities, the outcomes uncovered that mindfulness had an essentially diminishing impact on nepotism as far as activities, while disguised good viewpoint had an altogether expanding impact on partiality with regards to the position. Self-guideline didn't have any critical effect on NFC. As to pioneer's outer abilities, social straightforwardness had a critical positive impact on partiality and nepotism, while balance preparing had a huge negative impact on preference and nepotism with regards to position and tasks, individually. The authors encourage privately-owned companies to utilize free and reasonable measures to delegate or advance representatives who have the necessary abilities to deal with the workplace instead of naming relatives to positions without merit. Preparing on AL and NFC ought to be led for chiefs to empower them to comprehend the possible adverse consequences of NFC on the representatives and the organization at large. Laws should be passed to prepare for arrangements or enlistments of representatives in the public area associations dependent on NFC to limit these untrustworthy practices. This is the first study that observationally investigates ALL capabilities effect on the pioneers' conduct with regards to NFC.
Assessing The Legal and Ethical Paradigms for Autonomous Vehicles in India: A Comprehensive Review of Existing Legislation and Prospective Reforms
Authors: Ganesh M Niranjan , Hayagrivas
Published: January 2025

The quick progression of autonomous vehicles (AVs) brings about important opportunities and challenges, especially in developing nations such as India. Though countries like the US, Germany, and Japan have well-established regulations for AV technology, India's laws and ethics in this area are still lacking in development. This paper evaluates the present condition of AV regulation in India, points out deficiencies in its legal structure, and contrasts it with the sophisticated frameworks in developed nations. It brings attention to important concerns like the lack of AV-specific regulations in the Motor Vehicles Act, 1988, inadequate safety measures, and issues regarding data privacy, cybersecurity, and liability. The research delves deeper into the moral quandaries linked to AVs, such as decision-making algorithms, liability problems, and public acceptance. The paper examines the methods of developed countries to find successful practices and regulations that can be adjusted to fit India's socio-economic and infrastructure conditions. The study also provides suggestions for updating Indian legislation with AV-specific regulations, setting up testing procedures, and forming an autonomous regulatory body for overseeing AV technologies. The paper stresses the significance of incorporating ethical factors into India's AV policies in order to guarantee safety, data protection, and public trust. Furthermore, it proposes the establishment of pilot programs and partnerships with international entities to harmonize India's regulatory framework with global norms. The results are intended to help policymakers create an all-encompassing, ethical, and flexible legal framework that encourages the safe and successful incorporation of self-driving cars in India.
An Overview of Al-Mutanabbi's Diwan Manuscripts: Catalog Information and Global Library Holdings
Authors: Aliyev Ceyhun
Published: January 2025

This article provides an in-depth analysis of the global manuscript holdings of Al-Mutanabbi’s Diwan, exploring the cataloging practices, preservation efforts, and textual variations that characterize these collections. As one of the most revered poets in Arabic literature, Al-Mutanabbi’s work has been meticulously preserved across regions, with notable manuscripts housed in the National Library of Egypt, the British Library, and other prominent institutions. Each manuscript offers unique features—variations in verse order, phrasing, and annotations—that reflect the dynamic reception of his poetry over centuries. These textual differences, along with extensive marginalia, highlight how Al-Mutanabbi’s themes of valor, identity, and existential reflection were interpreted and adapted by diverse cultures.
Current digital preservation initiatives have made significant strides in making these manuscripts accessible to a global audience, yet challenges in cataloging and preservation persist, particularly in maintaining manuscript integrity and expanding digital access. This study also suggests future research directions, such as comparative studies of annotations, paleographic analysis, and the exploration of Al-Mutanabbi’s manuscript circulation across regions. These efforts will enhance our understanding of his legacy and underscore the enduring relevance of his poetry within Arabic and world literature.
AKHLAK REMAJA MELALUI MAJELIS SHOLAWAT DI DESA PENDA ASAM KECAMATAN DUSUN SELATAN KABUPATEN BARITO SELATAN
Authors: Rahma Anita , Gazali Achmad
Published: January 2025

This thesis examines the development of adolescent morals through prayer councils in Penda Asam Village, Dusun Selatan District, South Barito Regency.Moral issues in Islamic teachings receive great attention. Talking about morals, they can be divided into two, namely good morals and bad morals. When talking about bad morals, the closest perpetrators to this are teenagers, even though bad morals can be practiced by all humans, be they children, teenagers or adults, the people who are most discussed in this case are teenagers. The various problems and conditions of teenagers are important things for anyone related to teenagers to pay attention to. Those related to teenagers, including parents, teachers and the community, need to know well about the importance of this period for teenagers and don't forget that adolescence is a very sensitive period.
The research in this thesis uses a qualitative descriptive approach with the type of field research and is supported by references related to the themes discussed in this thesis. The subjects in this research are: Teachers and Members of the Sholawat Council. The objects in this research are the Development of Adolescent Morals which includes: Morals towards Allah, Morals towards fellow humans and Morals towards nature/non-humans with the factors that influence them. To obtain field data, observation, interviews and documentary techniques were used.
The results of this research conclude that the Development of Adolescent Morals through Prayer Councils in Penda Asam Village, Dusun Selatan District, South Barito Regency with teaching activities: "a) Morals towards Allah (congregational prayer, reading the Qur'an, seeking knowledge, reciting dhikr/sholawat); b) Morals in humans (almsgiving, helping each other, working together, liking to apologize and forgive); c) Morals towards other than humans or the environment (caring for animals, maintaining cleanliness, planting trees and plants). Supporting and inhibiting factors for developing adolescent morals through prayer councils in Penda Asam Village, namely: a) Time; b) Place; c) Funds; d) Interests and talents; e) Family support
Suplantación de identidad humana por la inteligencia artificial (IA)
Authors: García Merino Jimena
Published: January 2025

Introducción. La inteligencia artificial (IA) ha experimentado un crecimiento exponencial, transformando diversos ámbitos. Sin embargo, su uso sin consciencia por los usuarios y sin las regulaciones pertinentes, plantea entre otros riesgos, la distorsión de la realidad. Este artículo revisa el fenómeno de la usurpación de la identidad humana por parte de la IA. Se examina cómo los chatbots, mediante un lenguaje inclusivo y la simulación de empatía, se integran en las conversaciones como seres humanos. Método: Se realizó una revisión de literatura de varias fuentes y pruebas prácticas con chatbots. Desarrollo: Se plantea y analiza el concepto de identidad humana y empatía, desde perspectivas psicológicas, filosóficas, ontológicas y sociológicas, destacando su naturaleza compleja, multifacética e inherentemente humana. Se presentan ejemplos de las respuestas de las IA, evidenciando su tendencia a simular características humanas. Se exponen dos casos documentados en los que la trasgresión y el engaño de la simulación de empatía han incidido en pérdida de vidas humanas. Conclusión: La suplantación de la identidad humana por parte de la IA es una realidad que requiere estudios profundos y un debate global liderado por la academia, para encontrar el equilibro entre la innovación y la ética. Es necesario establecer controles y normativas que garanticen que la IA beneficie a la humanidad.
Exploring the Link between Psychological Contract Contents and Human ResourcePractices
Authors:   Assistant Professor, Department of Business Studies, PIET, Samalkha, Haryana-132102, India, Jangra Sapna , Sandhu Shachie ,   Assistant Professor, Institute of Management Studies and Research, Maharshi Dayanand University,Haryana-124001,India.
Published: January 2025

Companies are going through a tough patch right now, but employees know their rights and how they contribute to the company's success. The connection between employers and employees is delicate, built on trust and the understanding that each party has a responsibility to meet the other's expectations. An abundance of studies examining the impact of different internal and external factors on employees' psychological contracts have been conducted during the past twenty years. Among these studies, human practices have been identified as a key factor in shaping employees' psychological contracts (Guzzo et.al., 1994; Richard et.al., 2009). The psychological contract is the subject of this article; it concerns the unspoken understandings that exist between employers and workers, as well as the ways in which HR policies and procedures influence these understandings. Upon closer inspection, the terms of the psychological contract are nothing more than an offshoot of the company's human resources policies and procedures, which in turn are directly related to the employee's expectations of his employer.
The Timing of Mutual Funds in India's Market and Their Selectivity
Authors:   Senior Assistant Professor, Department of Marketing, RV Institute of Management, Bengaluru, Karnataka 560041, India., Dsilval Anitha BM , Kumar Pavan ,   Student, Department of Finance, RV Institute of Management, Bengaluru, Karnataka 560041, India., Mohamad Muzameel Samad Janbaw ,   Student, Department of Finance, RV Institute of Management, Bengaluru, Karnataka 560041, India.
Published: January 2025

This study looks at the performance of Indian equity mutual funds from 2019 to 2024, focusing on timing, diversity, and selectivity as key variables. The funds' performance over this time was used to select ten. The evaluation made use of the following models: Henriksson and Merton, Fama, Treynor, and Treynor-Mazuy. According to the results, mutual funds usually follow their benchmarks rather closely since they offer relatively low-risk investments. Some funds outperform the market, though, so clearly there's talent in the management team. Mutual fund investors who want to get the most out of their money can use these findings to their advantage.
The Impact of Remote Work on Employee Productivity in IT Sector: An Analysis OfAndhra Pradesh Region
Authors:   Assistant Professor, KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields Vaddeswaraam, AP, 522502, India., Manisha Semwal , Jadam Vasanthi Devi ,   Student, KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields Vaddeswaraam, AP, 522502, India., Tummepalli Lavanya Sai ,   Student, KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields Vaddeswaraam, AP, 522502, India., Shaik Tehazeeb ,   Student, KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields Vaddeswaraam, AP, 522502, India., Omkar Rithin Garlapati ,   Student, KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields Vaddeswaraam, AP, 522502, India.
Published: January 2025

This research paper evaluates the influence of remote work on employees' productivity in the Information Technology industry. Remote work has gained much momentum, especially as a result of global events such as the COVID-19 pandemic, hence much attention has been devoted to understanding its influence on worker performance, job satisfaction, and the organizational outcome. The study considered the following essential factors which contribute to a productive output of a remote workspace: work environment, communication, team coordination, information technology infrastructure, and personal work style. It examines the impact this remote work would have on an employee's psyche, motivational level, as well as their balance between work and life-the core drivers of productivity. Based on both the quantitative surveys with a quantitative measure and qualitative interviews among the IT professionals regarding working from a distance and especially focused on performance metric that consists of accomplishment of a job, innovativeness, and effectiveness, research has tried to find precise issues and benefits. Findings allow for both the benefits and the drawbacks of telework in the light of which forms of practice and policies, by an organization, ensure the maximum productivity of its employees. By this paper, researchers contribute to knowledge on telecommuting and provide recommendations and practice for IT firms looking at the use of remote working without loss in, and indeed, an enhancement of productivity.
Comparative Analysis of Load Balancing and Service Broker Algorithms in Cloud Computing
Authors:   Department of Computer Science & Engineering, Amritsar Group of Colleges, Amritsar-143001, Punjab, India, Sharma Tejinder , Sharma Narinder ,   Department of Computer Science & Engineering, Amritsar Group of Colleges, Amritsar-143001, Punjab, India.
Published: January 2025

Cloud computing is a phenomenon which is growing exponentially for the enhanced use of network services, where, the proficiency of one node can be utilized by another node as per requirement of the end users. To manage these types of requirements in the precise and accurate way, various load balancing and service brokering techniques/algorithms have been proposed by the developers/researchers. The Techniques/algorithms discussed in this manuscript ensures the uniform distribution of the load on individual node along with optimal resource utilization and faster response time. This Manuscript demonstrates the comparative analysis of the various existing load balancing algorithms and service broker policies based on the available state-of -art literature along with the required performance metrics and challenges faced by researchers while proposing the new algorithms.
Intelligent Designed Assistance Model to Evaluate the Role of Social Media Marketing in Promoting Investment in Mutual Funds in India
Authors:   Assistant Professor, Department of KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaraam, AP.,522502, India, Chandu Venkateswarlu , Chandana Molakalapalli ,   Students, Department of KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaraam, AP. ,522502, India, anudeep Tamma manjunatha ,   Students, Department of KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaraam, AP. ,522502, India, Venkata Samba Siva Rao Kandula ,   Students, Department of KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaraam, AP. ,522502, India, Vishnu Tadisetty ,   Students, Department of KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaraam, AP. ,522502, India
Published: January 2025

This research article explores the impact of social media marketing on promoting investment in mutual funds in India. With the increasing penetration of the internet and the rise of social media platforms, financial institutions are leveraging these channels to engage potential investors. The study investigates the effectiveness of social media marketing strategies in influencing investor behavior, awareness, and decision-making regarding mutual funds. A mixed-method approach was employed, including surveys and interviews with industry experts and investors. This paper explores the application of the Intelligent Designer Assistance System (IDAS) in mutual fund analysis, offering a comprehensive framework for evaluating mutual funds based on key financial metrics. IDAS integrates multiple parameters such as risk levels, return on investment (ROI), cost efficiency, volatility, Sharpe ratio, beta, fund size, and manager tenure, among others, to provide insights that assist investors in making informed decisions. Through the analysis of various fund types, including equity, bond, balanced, and sector funds, this study demonstrates how IDAS can tailor investment recommendations according to individual risk preferences and financial goals. The findings emphasize the importance of aligning investment strategies with factors like fund performance consistency, adaptability to market conditions, and overall cost-effectiveness. This approach enables investors to optimize their portfolios by selecting funds that best match their risk tolerance, return expectations, and sector interests, leading to more strategic and efficient investment choices. This paper investigates the role of social media marketing in promoting investments in New Fund Offers (NFOs) within the Indian mutual fund landscape. As financial institutions increasingly leverage social media platforms for marketing, understanding their effectiveness in influencing investor behavior becomes crucial. This study employs a mixed-method approach, including quantitative surveys and qualitative interviews, to analyze how social media impacts awareness, engagement, and investment decisions related to NFOs.
Automated Pattern Estimation For Classification Of Consumer Perception On Green Banking
Authors:   Assistant Professor, Department of KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaraam, AP,522502, India., Chandu Venkateswarlu , Kuene Nkosingiphile ,   Students, Department of KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaraam, AP,522502, India, Motika Sarah ,   Students, Department of KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaraam, AP,522502, India, John Peace Andrew ,   Students, Department of KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaraam, AP,522502, India, Banda Regina ,   Students, Department of KL Business School, Koneru Lakshmaiah Education Foundation, Greenfields, Vaddeswaraam, AP,522502, India
Published: January 2025

This study investigates the landscape of green banking, focusing on its purpose, objectives, strategies, challenges, and consumer perceptions regarding various banking activities. The primary purpose is to evaluate how green banking initiatives can foster sustainable financial practices while addressing environmental concerns. The study outlines strategies employed by financial institutions, such as sustainable lending practices, green investment funds, and digital banking solutions that minimize environmental impact. However, several challenges persist, including a lack of awareness among consumers, high initial costs, and regulatory complexities, which hinder the widespread adoption of green banking practices. This paper explores the use of Pattern Intelligence in predicting consumer adoption of green marketing and eco-friendly products through the development of the Automated Pattern Identification Classification – Green Marketing (APIC-GM) model. The study examines the impact of key consumer characteristics such as environmental awareness, income level, and past eco-friendly behavior on their likelihood to adopt sustainable products. By leveraging machine learning techniques and data-driven approaches, we estimate consumer adoption probabilities and categorize them into distinct patterns, ranging from very low to very high adoption likelihoodUsing a dataset of 10 consumers, the model calculates predicted adoption probabilities, revealing significant patterns: consumers with high environmental awareness, high income, and a history of eco-friendly purchases have adoption probabilities ranging from 0.78 to 0.95 (e.g., Consumer ID 001 with a probability of 0.92 and Consumer ID 008 with 0.95), while those with low awareness and income levels show much lower probabilities, between 0.25 and 0.35 (e.g., Consumer ID 006 with 0.25 and Consumer ID 003 with 0.28). The model categorizes consumers into high, medium, and very low adoption groups, with Consumer ID 004 (0.78) and Consumer ID 005 (0.80) falling into the high adoption category. These insights offer actionable recommendations for green marketing strategies, helping businesses focus on high-potential customers while tailoring efforts for less responsive segments.
Sentiment Analysis of the Twitter Dataset for the Prediction of Sentiments
Authors:   Student, The University of Texas at Arlington, Arlington, Texas, United States of America, Challapalli Srinivasa Sai Abhijit
Published: January 2025

Sentiment analysis of Twitter data involves using natural language processing (NLP) and
machine learning techniques to classify the sentiments expressed in tweets. The goal is to classify tweets
based on sentiment, emotion, or behavior in the text, using emotional labels such as positive, negative, or
neutral. Twitter sentiment analysis is an important tool for instantly understanding public opinion on
various topics, events, or brands. This process usually begins with the collection of large tweet data,
followed by preliminary steps such as tokenization, outlier removal, and text normalization to clean the
data. The text is then converted into a digital representation suitable for machine learning models using
extraction techniques such as Bag-of-Words, Time-Inverse Document Frequency (TF-IDF), and word
embedding. Deep learning models, such as convolutional neural networks (CNN), short-term neural
networks (LSTM), and bidirectional LSTM (BiLSTM), are generally used to train and predict sentiment.
This paper presents an effective method for sentiment analysis of Twitter profiles using deep learning
methods, especially Convolutional Neural Networks (CNN), Long-Term Memory (LSTM) and
Bidirectional LSTM (BiLSTM). The database contains 7000 tweets, which are pre-processed using text
cleaning methods including tokenization, word removal, and lemmatization. The data is then converted to
numerical vectors by methods such as bag-of-words and word embedding. The model is trained, and the
test accuracy of CNN model is 0.95, test accuracy is 0.92, training accuracy of LSTM model is 0.97 and
test accuracy is 0.90, and the training accuracy of BiLSTM model is 1.0 tab, and the accuracy rate is 0.9. .
The results show a tendency to overdo it, with the model performing well on training data but poorly on
test data. However, the model successfully classified tweets into positive, negative, and neutral groups,
demonstrating the potential of deep learning in capturing sentiment from social media.