bluuebunny/crossref_metadata_2025 huggingface dataset:
Early changes in heart failure with preserved ejection fraction: The merit of a sex-specific approach
Authors:   , van Ommen Anne Margje Lisa Naomi
Published: August 2024

More women than men have heart failure with preserved ejection fraction, but it is unclear why. This intriguing question is at the heart of this dissertation, where we explore the early changes that may lead to HFpEF, a condition that severely impacts quality of life. Unlike other forms of heart failure, HFpEF is not caused by a weakened ability of the heart to contract, but rather by its inability to relax properly. This issue of insufficient relaxation becomes more common with age, yet only a fraction of those affected, primarily wome, go on to develop heart failure symptoms. We are trying to better understand this from different perspectives.

A key component of this dissertation is the HELPFulUP study, in which we follow patients with insufficient relaxation of the heart muscle over time. We make some interesting observations: In this population, women indeed develop heart failure more often than men. Surprisingly, though, the markers indicating poor relaxation of the heart muscle do not show significant changes over time. We do observe that reduced kidney function and increased blood pressure contribute to worsening over time in both men and women.

Furthermore, this dissertation includes several chapters in which we examine biomarkers to better understand the underlying mechanism of reduced relaxation. For example, we discover that the protein called interferon-alpha 5 only plays a role in early changes that can lead to heart failure in women. We believe this is due to genetic differences between men and women. Additionally, we study a signal on the electrocardiogram called the TQ interval. The TQ interval correlates with the relaxation phase within a heartbeat. We observe that, as expected, the TQ interval is shorter in women than in men, and that there is a relationship with reduced heart relaxation and heart failure.

This dissertation contains important new results from repeated measurements of heart relaxation and the progression to heart failure. Various underlying mechanisms are investigated through biomarker research.
Factors predicting menstrual irregularity among university students in Ho Chi Minh City, Vietnam: A cross-sectional study
Authors: Nguyen Nhan Thi , Le Trinh Thi My
Published: August 2024

Background: University students often face menstrual irregularities, particularly among healthcare students, due to rigorous study environments, such as night duties resembling professional staff responsibilities.
Objective: This study aimed to examine the prevalence of and factors predicting menstrual irregularities among female students in Ho Chi Minh City, Vietnam.
Methods: A cross-sectional study was conducted from April to July 2023 at the University of Medicine and Pharmacy at Ho Chi Minh City (UMP). Data were collected using self-administered questionnaires comprising sections on personal background, menstrual cycles, sleep duration, and academic stress. Descriptive statistics and multiple logistic regression were employed for data analysis.
Results: Approximately 48.3% of participants experienced menstrual irregularities. Overweight or obese students were more likely to experience irregularities compared to those of normal weight (AOR = 7.56, 95% CI = 1.34, 80.8). Nursing majors (including nursing, midwifery, and anesthesia resuscitation nursing) showed a higher likelihood of irregularities compared to other majors (AOR = 2.5, 95% CI = 1.35, 4.13).
Conclusion: This study highlights a significant prevalence of menstrual irregularities among female students. Interventions in nursing education should focus on promoting healthy lifestyles and regular physical activity to manage weight and mitigate menstrual irregularities.
The mediating effects of resilience in the relationship between social support and posttraumatic growth in patients with acute coronary syndrome in China
Authors: Tang Nan , Masingboon Khemaradee , Hengudomsub Pornpat
Published: August 2024

Background: Posttraumatic growth has a positive impact on patients diagnosed with acute coronary syndrome (ACS). Patients with acute coronary syndrome in China report low to moderate levels of posttraumatic growth. Additionally, there is a dearth of research exploring the associations between resilience, social support, and posttraumatic growth in this specific patient population.
Objective: This study examined whether resilience serves as a mediator between social support and posttraumatic growth in patients with acute coronary syndrome who had been discharged for 1 to 6 months and were being followed up in clinics.
Methods: A descriptive correlational study design was utilized. A systematic sampling technique was used to recruit 121 patients with acute coronary syndrome who had been discharged for 1 to 6 months from cardiovascular clinics of a tertiary care hospital in Jiangsu Province, China. The research instruments included the demographic characteristics questionnaire, the Connor-Davidson Resilience Scale, the Multidimensional Scale of Perceived Social Support, and the Posttraumatic Growth Inventory. The data were collected between August 2022 and November 2022 and were analyzed using descriptive statistics and regression analyses to determine the mediating effects.
Results: The level of posttraumatic growth among patients with acute coronary syndrome attending follow-up clinic visits was moderate (Mean = 60.58, SD = 14.13). Resilience had a direct and positive impact on posttraumatic growth (β = 0.361, p <0.001). Moreover, resilience fully mediated the relationship between social support and posttraumatic growth (indirect effect = 0.203, 95% CI [0.076, 0.331]; direct effect = 0.162, p = 0.101).
Conclusion: Patients with acute coronary syndrome in China experience moderate posttraumatic growth after discharge. Resilience mediates the relationship between social support and posttraumatic growth. Therefore, nursing interventions focusing on promoting social support and resilience should be developed to encourage posttraumatic growth in patients with acute coronary syndrome.
Strengthening psychological well-being of Indonesian females with breast cancer through the religious-based caring program: A quasi-experimental study among Muslim population
Authors: Komariah Maria , Agustina Hana Rizmadewi , Rahayuwati Laili , Kurniawan Kurniawan , Gartika Nina , Mago Arpit , Qadous Shurouq Ghalib , Maulana Sidik
Published: August 2024

Background: Breast cancer presents significant psychological challenges along with physical health concerns, particularly in settings where cultural and spiritual values play a critical role in patient care.
Objective: This study aimed to investigate the effect of a religious caring program on the psychological well-being of Indonesian females with breast cancer.
Methods: This was a quasi-experimental study with a pretest and posttest control group design, conducted from January to July 2019 at a chemotherapy unit in Bandung, Indonesia. The patients with breast cancer were assigned to the experimental group (n = 55) and the control group (n = 57). Data were collected using the Psychological Well-Being Scale before and three weeks after the intervention. The data were analyzed using independent t-test and ANCOVA (Analysis of Covariance).
Results: There was a significant improvement in the mean psychological well-being score in the experimental group following the intervention compared to the control group, with the experimental group showing a significantly higher mean score (Cohen’s d = 1.4548, p <0.001). None of the covariates significantly affected psychological well-being among the experimental group (p >0.05).
Conclusion: These results indicate that a religion-based caring program enhances psychological well-being. Thus, the program was effective and particularly well-suited for clinical nurses, suggesting that it should be recommended for Indonesian females with breast cancer to promote their recovery.
Phonology, Morphology, and Parents Role in Language Acquisition (A Comparative Study)
Authors: Harisha Nurul , Perdana Purnama Rika , Fitriani Dini
Published: August 2024

Language acquisition is influenced by both internal and external factors, including cognitive and IQ development. External factors arise from environmental influences, such as age, gender, intelligence, environment, economy, and social issues. Previous studies have looked at this type of study. However, no one had undertaken a research on this issue, such as morphology and phonology, in the contexts where the current study was conducted, and the comparative ages were only three years old children. These fills one of these gaps. This study aims to analyze the stages of phonology and morphology experienced by two children aged 3 years and above, focusing on the role of parents, particularly mothers, in influencing children's language acquisition. The descriptive qualitative method is used, and data is collected from children's utterances in natural context. findings show that F.A. (a 3-year-old girl) pronounced more phonemes and morphemes than M.A (a 3-year-old boy) and produced clearer utterances. Parental factors also play a role in child language, with both mothers using technology like YouTube animated videos to support language acquisition. This research fills a gap in previous studies on language acquisition in children of different topic and ages.
Language Development in Early Childhood: Psycholinguistic Approaches to English Language Education
Authors: Rhamadanty Tirta , Ulum Miftahul
Published: August 2024

This article discusses the importance of understanding language development at an early age and how a psycholinguistic approach can provide a strong foundation in designing effective English language education for children at this crucial stage in their lives. The approach in this article involves analyzing the literature and tracing empirical studies related to language development in early childhood using psycholinguistic approaches. Data were analyzed to explore the role of this approach in English language learning at this critical developmental stage. And the result is that the integration of psycholinguistic approaches in children's English education at an early age shows great potential in facilitating language development effectively. By understanding and applying psycholinguistic principles, educators can create a supportive and meaningful learning environment, enabling children to better achieve their language potential.
Utilizing Qual2Kw software to calculate the pollution load capacity of Ciliwung River Segment IV (Depok City)
Authors: Prianggono Margahayu , Rosadi Rosadi , Sutanto Sutanto
Published: August 2024

Situated in the administrative boundaries of West Java Province and DKI Jakarta Province, the Ciliwung River is a national river. Its river length is about 120 km, and its watershed area is about 425 km³ (DAS). The population of Depok City is growing at a pace of 1.79% annually, which leads to a rise in the demand for food, clothing, and housing, among other necessities. As a result of the growth of various industrial and community residential buildings to accommodate human needs, wastewater discharge into rivers will increase and the amount of pollution entering the Ciliwung River may surpass its carrying capacity if efforts are not made to control water pollution. As a result, research must be done to ascertain Segment IV Depok City's Ciliwung River Pollutant Load Capacity utilizing a simulation model and Qual2Kw software. Primary data samples of the Ciliwung River's water and pollution sources that enter it were collected for this study, in addition to firsthand field observations. Data calibration is carried out after entering hydraulic and quality data into worksheets. In order to ensure that river flow data still satisfies class II river water quality standards, modeling is done utilizing the following sources: (1) existing data; (2) upstream data of class II river water quality standards; and (3) current conditions of river flow and trial & error pollutant source data. The findings indicated that the Ciliwung River section IV, Depok City, has a somewhat contaminated water quality. Pollutant loads for TSS and COD criteria can still be accommodated in Ciliwung River section IV, Depok City. In the meantime, the BOD criteria for carrying pollutant loads has been surpassed; therefore, to meet class II water quality regulations, the BOD pollutant load needs to be reduced by 22.58% to 37.50%.
PERENCANAAN PENERANGAN LABORATORIUM TEKNIK ELEKTRO UNIVERSITAS PAKUAN DENGAN SOFTWARE DIALux Evo 8.2
Authors: Soebagia Hasto , Adzikri Fikri , Toha Muhammad Fadhil , Ardiansyah Faza
Published: August 2024

Laboratorium sebagai tempat berlangsungnya pembelajaran dan praktikum, sudah seharusnya memberikan kenyamanan mata kepada pengguna untuk bisa melakukan praktikum atau pekerjaan lain dengan baik dan nyaman. Pencahayaan yang kurang tepat dapat membuat mata menjadi tidak nyaman dan cepat lelah. Selain itu, hal ini akan menyebabkan kelelahan mental dan kerusakan mata. Sesuai (SNI) 6197:2011, tentang tingkat pencahayaan minimum yang direkomendasikan untuk ruang laboratorium minimal 500 lux. Tujuan penelitian ini untuk mendapatkan perencanaan penerangan buatan (lampu) sesuai Standar Nasional Indonesia (SNI) secara visual di laboratorium Teknik Elektro Universitas Pakuan menggunakan software DIALux Evo 8.2. Metodologi Penelitian yang digunakan antara lain, pertama melakukan pengukuran dan observasi kondisi saat ini, yang antara lain dilakukannya pengukuran ruang, jumlah lampu yang digunakan, pengukuran intensitas penerangan menggunakan lux meter, kemudian hasil pengukuran dan obsevasi dibandingkan dengan kriteria pencahayaan, kedua memvisualisasikan penerangan laboratorium dengan menggunakan software DIALux evo 8.2. Software DIALux evo merupakan software yang digunakan untuk membuat scenario penerangan dalam tampilan 3D (pemodelan), memprediksi pencahayaan, dan memberikan perhitungan parameter objektif. Hasil pengukuran dan simulasi tingkat penerangan pada laboratorium yang masih dibawah Standar Nasional Indonesia (SNI-6197:2011), dioptimalisasi dengan menambahkan watt dan lumen lamun pada software DIALux evo hasil yang didapatkan sesuai dengan Standar Nasional Indonesia (SNI-6197:2011). Kata Kunci : Laboratorium, Penerangan, Software DIALux.
REVIEW DAN PEMETAAN LAHAN KRITIS DALAM WILAYAH URBAN
Authors: Pamungkas Helmi Setia Ritma , Yogaswara Laila Mardlotillah , Adhitia Iit , Karmadi Muhammad Agus
Published: August 2024

Kota Bogor merupakan salah satu wilayah urban penyangga atau pinggiran kota megapolitan yang terdekat dengan Jakarta yang memiliki keterbatasan ruang. Dampak dari pemanfaatan ruang yang tidak sesuai akan mengakibatkan degradasi lingkungan apalagi lahan dengan kemiringan lereng dari curam sampai sangat curam dimanfaatkan untuk permukiman. Kepadatan penduduk sangat tinggi tentu saja akan menyebabkan ruang-ruang sempadan jalan, sungai, dan situ menjadi ruang terbuka hijau dan biru semakin sulit direalisasikan karena alih fungsi lahan menjadi kawasan terbangun di Kota Bogor terutama di Kecamatan Bogor Timur. Penelitian ini bertujuan untuk mereview dan pemetaan lahan kritis Bogor Timur dengan menggunakan metode tumpang susun berdasarkan Peraturan Menteri Kehutanan Nomor. P.32/Menhut-II/2009. Hasil review dan pemetaan data lahan kritis menunjukkan bahwa Kecamatan Bogor Timur pada tahun 2015, kategori lahan kritis pada Kawasan budidaya pertanian seluas 98,21 ha, kemudian pada tahun 2022 menjadi 37,79 ha. Kategori agak kritis juga menjadi menurun signifikan dari 111,2 ha menjadi 36,59 ha. Kawasan lindung di luar Kawasan hutan memiliki kategori agak kritis seluas 3,2 ha, kritis 3,2 ha, dan sangat kritis 7,99 ha. Akan tetapi pada tahun 2022 dengan banyak sekali perubahan kondisi tutupan lahan maka lahan kritis pada tahun 2022 dengan kategori agak kritis menjadi meningkat menjadi 25,74 ha, kritis menjadi 28,78 ha, dan sangat kritis menjadi 10,77 ha. Lahan-lahan yang tadinya tidak kritis menjadi potensial kritis sebesar 30,53 ha. Kata kunci : Review, Lahan Kritis, Wilayah Urban
ARAHAN PENGEMBANGAN PERUMAHAN DI KECAMATAN CIOMAS KABUPATEN BOGOR
Authors: Masarmon Masarmon , Hidayat Janthy T. , Mujio Mujio
Published: August 2024

ABSTRAK Tingginya laju pertumbuhan penduduk di Kabupaten Bogor khususnya Kecamatan Ciomas yang berasal dari pertumbuhan penduduk secara alami dari dalam Kabupaten Bogor maupun migrasi dari luar Kabupaten Bogor menyebabkan peningkatan kebutuhan akan perumahan di Kecamatan Ciomas, namun kecukupan lahan untuk pembangunan perumahan terbatas. Tujuan penelitian ini adalah: (1) Menganalisis jumlah kebutuhan rumah tahun 2023-2036 di Kecamatan Ciomas Kabupaten Bogor; (2) Menganalisis potensi lahan untuk pembangunan perumahan di Kecamatan Ciomas Kabupaten Bogor; (3) Menyusun arahan prioritas pembangunan perumahan di Kecamatan Ciomas Kabupaten Bogor. Penelitian dilakukan dengan menggunakan metode analisis deskriptif kualitatif, analisis geometrik, analisis permukiman berimbang, analisis spasial GIS dan analisis Interpretative Structural Modeling (ISM) untuk mendapatkan arahan pengembangan perumahan prioritas di Kecamatan Ciomas. Kata Kunci : Penduduk, Perumahan, Ketersediaan Lahan ABSTRAC The high rate of population growth in Bogor Regency, especially the Ciomas Subdistrict, originating from natural population growth from within Bogor Regency as well as migration from outside the Bogor Regency, has led to an increase in demand for housing for housing in the Ciomas Subdistrict, but the adequacy of land for housing development is limited. The objectives of this study are: (1) To analyze the number of housing needs for 2023-2036 in Ciomas District, Bogor Regency; (2) Analyzing the potential land area for housing development in Ciomas District, Bogor Regency; (3) Formulate priority directions for housing development in Ciomas District, Bogor Regency. The research was conducted using qualitative descriptive analysis methods, geometric analysis, balanced residential analysis, GIS spatial analysis and Interpretative Structural Modeling (ISM) analysis to obtain priority housing development directions in Ciomas District. Keywords : Population, Housing, Availability of Land
METODE USLE UNTUK MEMPREDIKSI EROSI TANAH DI DAS CILIWUNG KOTA BOGOR, JAWA BARAT
Authors: FIRMANSYAH YUDI , PAMUNGKAS HELMI SETIA RITMA , YOGASWARA LAILA MARDLOTILLAH
Published: August 2024

Pembangunan wilayah penting dilakukan untuk menopang kegiatan masyarakat di suatu wilayah, sama halnya dengan perkembangan di wilayah DAS Ciliwung yang berada di Kota Bogor.  Pembangunan wilayah DAS Ciliwung tumbuh begitu pesat sehingga fungsinya sebagai daerah konservasi tanah sangat berkurang.  Tingkat bahaya erosi DAS Ciliwung Kota Bogor teridentifikasi seluas 190,10 ha dan terbagi menjadi empat kelas, yaitu ringan, sedang, berat dan sangat berat.  Masing-masing luas kelas TBE, yaitu 0,01 ha , 12,15 ha , 131,95 ha, dan 45,95 ha.  Jumlah sedimentasi pada masing-masing nilai A 0,54 ton/ha/tahun, 25,18 ton/ha/tahun, 57,31 ton/ha/tahun  dan 84,09 ton/ha/tahun.  Lahan yang mengalami erosi tinggi merupakan jenis penggunaan lahan pertanian yang sedang dalam kondisi tidak ditanami atau lahan kosong terlantar.  Perbaikan lahan diarahkan metode vegetatif dan mekanik, dilakukan penanaman pohon dan perbaikan dinding sungai.  Pentingnya aplikasi tanaman penutup tanah untuk mengurangi laju air dipermukaan tanah dan mengurangi sedimentasi. Kata Kunci : USLE , Erosi Tanah  ABSTRACT Regional development is important to support community activities in a region, the same as development in the Ciliwung watershed area in Bogor. Development of the Ciliwung watershed area is growing so rapidly that its function as a land conservation area is greatly reduced. The erosion hazard level for the Ciliwung Watershed in Bogor City has been identified as 190,10 ha and is divided into four classes, light, medium, heavy and very heavy. Each TBE class area is 0,01 ha, 12,15 ha, 131.95 ha, and 45.95 ha. The amount of sedimentation at each value of A is 0,54 tons/ha/year, 25,18 tons/ha/year, 57,31 tons/ha/year and 84,09 tons/ha/year. Land with high erosion is a type of agricultural land use that is not planted or abandoned soil. Land improvements are directed at vegetative and mechanical methods, planting trees and repairing river walls. The importance of applying cover crops to reduce the rate of water on the soil surface and reduce sedimentation. Keywords : USLE , Soil Erosion
ANALISIS SPASIAL KETERSEDIAAN RUANG TERBUKA HIJAU UNTUK MENDUKUNG PROGRAM GREEN CITY KOTA BOGOR
Authors: AMRIN SALAMUDDIN, SANTUN R.P. SITORUS, dan RUDI MAHMUD Z. FAZA
Published: August 2024

Kota Bogor memiliki beberapa titik RTH publik dan potensi RTH privat yang dapat dimanfaatkan untuk kebutuhan masyarakat namun ketersediaan RTH tersebut terancam dengan semakin pesatnya pembangunan dan meningkatnya jumlah penduduk. Ketersediaan RTH merupakan bagian penting dalam upaya mengatasi permasalahan lingkungan kota seperti suhu udara yang meningkat, tingkat polusi yang tinggi, berkurangnya resapan air dan terbatasnya ruang interaksi masyarakat. Upaya Kota Bogor dalam mengembangkan RTH dinilai masih belum cukup untuk disebut sebagai Green City. Oleh karena itu, tujuan penelitian ini adalah 1) mengidentifikasi dan menganalisis distribusi spasial RTH eksisting; 2) menganalisis kebutuhan RTH Publik Kota Bogor berdasarkan luas wilayah dan jumlah penduduk dan 3) menganalisis area yang berpotensi dikembangkan menjadi RTH Publik. Hasil analisis menjadi bahan pertimbangan untuk menyusun rencana pengembangan RTH berdasarkan atribut Green City dengan pendekatan green open space yang menitikberatkan pada distribusi RTH secara merata dan pendekatan green planning design untuk meningkatkan kualitas RTH kota. Kata kunci : Distribusi RTH, Green City, Ketersedian. ABSTRACT Bogor City has several public and potential private green open space that can be utilized for community needs but the availability of green open space is at risk with the rapid development and increasing population. The availability of green open space is an important part of efforts to deal with urban environmental problems such as rising air temperatures, high levels of pollution, decreasing water infiltration and limited space for community interaction. Bogor City's efforts in developing green spaces are still considered insufficient to be called a Green City. Therefore, the objectives of this study are 1) to identify and analyze the spatial distribution of existing public green open space; 2) to analyze the need for public green open space in Bogor City based on area and population; and 3) to analyze areas that have the potential to be developed into public green open space. The results of the analysis will be taken into consideration to formulate green open space development plan based on Green City attributes with a green open space approach that focuses on the distribution of green open space evenly and green planning design approach to improve the quality of urban green open space. Keywords : Green Open Space Distribution, Green City, Availability.
ANALISIS STRUKTUR VEGETASI MANGROVE DI DESA LANGERE, KABUPATEN BUTON UTARA
Authors: Satya Laksananny , Basruddin Basruddin , Ahmaliun Lade , Rahmatiah Eka
Published: August 2024

Penelitian ini bertujuan untuk melihat nilai Kerapatan Relatif, Frekuensi Relaif, Dominansi Relatif, Indeks Nilai Penting dan Indeks Keanekaragaman pada komunitas vegetasi mangrove di Desa Langere Kabupaten Buton Utara. Metode penelitian yang digunakan adalah metoda garis berpetak (Onrizal, et al. 2005), dengan ukuran petak untuk semai  2m x 2m; pancang 10m x 10m; dan untuk pohon 20m x 20m. Selanjutnya dilakukan analisis vegetasi dengan menerapkan rumus untuk kerapatan relatif, dominansi relaif dan frekuensi relatif serta menghitung besaran Indeks Nilai Penting dan Indeks Keanekaragamn. Hasil penelitian diperoleh bahwa terdapat 5 jenis spesies mangrove di Desa Langere, yaitu Bruguiera gymnorrhyza, Rhizophora stylosa,  Heriteria littoralis, Bruguiera parviflora, Sonneratia alba J.E.Smith. Indeks Keanekaragamn 0,24 – 0,35 dan tergolong rendah (Barbour et al. (1987))
OPTIMALISASI PERSEDIAAN BAHAN BAKU BAGI KELANCARAN PROSES PRODUKSI PADA TOKO ROTI AUFA BAKEERY MENGGUNAKAN METODE ECONOMIC ORDER QUANTITY EOQ
Authors: Azari Resti , Budiman Herdi , La Ode Saidi  , Somayasa Wayan , Baharuddin
Published: August 2024

Penelitian ini bertujuan untuk mengetahui hasil perhitungan optimalisasi biaya persedian bahan baku secara konvensional dan secara metode EOQ (Economic Order Quantity). penelitian ini menggunakan jenis penelitian deskriptif pendekatan kuantitatif. Populasi dari penelitian ini adalah data persediaan bahan baku yaitu tepung terigu, mentega,  dan pengembang roti yang dimiliki oleh Toko Roti Aufa Bakery daribulan Januari sampai Desember 2021. Berdasarkan perhitungan yang dilakukan dengan menggunakan metode EOQ, dapat diketahui rincian totalbiaya persediaan bahan baku tepung terigu sebesar Rp.  dan menghemat biaya persediaan sebesar Rp. . Kemudian untuk bahan baku mentega sebesar Rp.  dan menghemat biaya persediaan sebesar Rp.  Kemudian untuk bahan baku pengembang roti sebesar Rp. dan menghemat biaya persediaan sebesar  Dari hasil penelitian dapat disimpulkan bahwa perhitungan persediaan bahan baku menggunakan metode konvensional lebih besar dibandingkan dengan perhitungan menggunakan metode EOQ. Sehingga perhitungan menggunakan metode EOQ lebih optimal dibandingkan menggunakan metode konvensional.
Analisis Sistem Antrian Fasilitas Pelayanan pada BRI Unit Tanabatue Kecamatan Libureng Kabupaten Bone
Authors: Sulmianti  , Muhtar Norma , La Pimpi  , Somayasa Wayan , La Gubu  , Alfian
Published: August 2024

Tujuan penelitian ini adalah (1) untuk mengidentifikasi distribusi waktu kedatangan dan waktu pelayanan di BRI Unit Tanabatue (2) untuk mengetahui model sistem antrian yang diterapkan dibagian teller BRI Unit Tanabatue, dan (3) Untuk menganalisis sistem antrian yang diterapkan dibagian teller BRI Unit Tanabatue. Data yang diambil pada penelitian ini berupa data waktu kedatangan dan waktu pelayanan. Dalam penelitian ini dipilih program SPSS untuk menentukan model antrian. Berdasarkan hasil penelitian menunjukkan bahwa kedatangan nasabah di bank BRI Unit Tanabatue berdistribusi Poisson dan pelayanan nasabah dalam sistem tidak berdistribusi eksponensial. Sementara itu,   model antrian yang diterapkan di saluran teller BRI Unit Tanabatue adalah [M/G/1]:[FIFO/∞/∞]. Hal ini berarti bahwa  hanya terdapat satu saluran teller, dengan menerapkan disiplin antrian First In First Out (FIFO), yaitu nasabah yang pertama adalah nasabah yang datang terlebih dahulu. Di lain pihak, jumlah nasabah yang masuk dalam antrian tidak dibatasi atau tak terhingga, serta ukuran populasi yang merupakan  sumber atau asal nasabah yang berpotensi masuk dalam antrian juga tidak terbatas atau tak terhingga.
Disproof of the Euler Product equal to the Riemann Zeta Function
Authors: Annamalai Chinnaraji
Published: August 2024

The author of this article disproves the Euler product equal to the Riemann zeta function that the earlier mathematicians proved, and also provides the main reason why the Euler product is not equal to the Riemann zeta function in this article.
Ground Effect Flight Transit (GEFT) – Towards Trans-Modal Sustainability
Authors: Suppes Adam , Suppes Galen
Published: August 2024

Low aspect ratio design in ground-effect flight is the critical feature to enable the combination of ground effect flight and free flight for the non-stop transition from flight engaging railway, subway, highway, and waterway corridors. Efficient ground effect flight allows for novel applications of existing railway infrastructure for improved transportation. The non-stop transition from these corridors enables new approaches to reduce the costs of transit congestion and infrastructure. A new ground effect flight transit platform (GEFT) uses a hovercraft-type cavity having aspect ratios less than 1.0 to achieve energy efficiencies more than 200% the efficiencies of contemporary automobiles and aircraft. Computational fluid dynamics (CFD) provides insight and performance trends to match vehicle specifications with corridors and applications. Applications range from commuter to trans-continental transit.
Determinants of Financial Inclusion and Financial Well-Being of MSMEs Entrepreneurs in Lamandau Regency
Authors: Nurlina Siti , Diky Paramitha
Published: August 2024

Micro, Small, and Medium Enterprises (MSMEs) are an important sector in the Indonesian economy, contributing greatly to job creation and economic growth. Financial inclusion and financial well-being of MSMEs entrepreneurs are important factors in improving the performance and competitiveness of MSMEs. The objective of this study is to examine the factors that influence financial inclusion and financial well-being. There are four independent variables tested, namely financial literacy, accessibility, affordability, and use. This study was conducted in Lamandau Regency, Central Kalimantan Province, Indonesia. The sample of this study was MSMEs entrepreneurs in Lamandau Regency, Central Kalimantan Province. Data were collected through questionnaires and processed using the smart-PLS application. The questionnaire was distributed to the MSMEs communication forum in the form of an e-form. The results of this study indicate that the factors that influence financial inclusion and financial well-being are financial literacy. The conclusion of this study is that financial literacy is a determining factor in financial inclusion and ultimately affects financial well-being. These results provide recommendations for the government to play an active role in providing financial education to the public, especially MSMEs entrepreneurs
The Urgency of Digitizing Learning for Madrasah Aliyah Islamic Boarding School Students in The Era Of Society 5.0
Authors: Radjak Dwi Setiawati , Jusuf Syarifudin , Bongkan Andi Darmawan
Published: August 2024

Digitized learning in Islamic boarding schools is an opportunity and, at the same time, the challenge of continuing to transform to make the learning process massively more efficient and comprehensive in every aspect of human life. In the current era of disruption, technological and industrial change is facing a significant revolution and is known as the Society 5.0 era. Of course, in facing the era of society 5.0, the world of education has an important contribution to make in adapting to current developments in improving the quality of human resources. This research aims to describe the urgency of digitizing learning for Madrasah Aliyah Islamic Boarding School students in the Society 5.0 era. This research uses a qualitative method with a descriptive approach. Data collection techniques include observation, interviews, and a literature study. The research results show the importance of digitalization learning in the era of society 5.0 in Islamic boarding school-based Madrasah Aliyah, activists and stakeholders in education, get an overview of the application of technology learning, which is more specific to communication tools, the challenges of implementing digitalization learning, and the efforts that need to be made to maximize digitalization learning in Islamic boarding school-based Islamic schools.
Promoting Inclusivity Through Technology: A Literature Review in Educational Settings
Authors: Wulandari Citra Eka , Firdaus Fauzan Akmal , Saifulloh Farida
Published: August 2024

Inclusive education has been a major focus of global education policy conversations over the past few decades. Along with the rapid development of technology, the role of technology in supporting inclusive education has become an increasingly widely explored subject of research. Technology integration in the context of inclusive education involves the use of various tools and platforms that are accessible to students with special needs. The purpose of this research is to explore various aspects of the use of technology in promoting inclusion in education, by identifying opportunities, challenges and important factors that should be considered in order to create a more inclusive and equitable education for all individuals. The research method used is a literature review, exploring data sources such as journal articles, books, research reports and other academic publications relevant to this topic. The results of this study show that technology integration has had a significant positive impact in improving educational accessibility for students, allowing more efficient personalization of learning, and increasing student engagement and participation in the learning process. However, challenges such as technology infrastructure, teacher training, technology suitability, data privacy and necessary policy support need to be addressed for the benefits of technology to be optimized in supporting educational inclusion as a whole.
Use of Digital Technology in Education at The State Institut of Christiany Palangka Raya
Authors: Urbanus Urbanus
Published: August 2024

This research explores the use of digital technology in education at the Palangka Raya State Christian Institute. The main focus of the research is to determine the impact of digital technology on learning quality, material accessibility, student engagement, and the technical challenges faced. The research method used is a qualitative approach through observation and interviews with lecturers and students as well as secondary data analysis. The results of this research show that digital technology has significantly increased the interaction between lecturers and students, enabled more flexible access to learning materials, and increased student engagement through interactive features. The conclusion of this research is that the use of digital technology in education is its ability to provide access to various educational resources. This not only broadens students' knowledge but also encourages independent learning. This research also provides recommendations for a deeper integration of technology in the curriculum and the development of digital competencies for lecturers and students. So that digital technology can continue to improve the quality of education at the Palangka Raya State Christian Religion Institute.
Predicting improvement in biofeedback gait training using short-term spectral features from minimum foot clearance data
Authors: Sengupta Nandini , Begg Rezaul , Rao Aravinda S. , Bajelan Soheil , Said Catherine M. , Palaniswami Marimuthu
Published: August 2024

Stroke rehabilitation interventions require multiple training sessions and repeated assessments to evaluate the improvements from training. Biofeedback-based treadmill training often involves 10 or more sessions to determine its effectiveness. The training and assessment process incurs time, labor, and cost to determine whether the training produces positive outcomes. Predicting the effectiveness of gait training based on baseline minimum foot clearance (MFC) data would be highly beneficial, potentially saving resources, costs, and patient time. This work proposes novel features using the Short-term Fourier Transform (STFT)-based magnitude spectrum of MFC data to predict the effectiveness of biofeedback training. This approach enables tracking non-stationary dynamics and capturing stride-to-stride MFC value fluctuations, providing a compact representation for efficient processing compared to time-domain analysis alone. The proposed STFT-based features outperform existing wavelet, histogram, and Poincaré-based features with a maximum accuracy of 95%, F1 score of 96%, sensitivity of 93.33% and specificity of 100%. The proposed features are also statistically significant (p<0.001) compared to the descriptive statistical features extracted from the MFC series and the tone and entropy features extracted from the MFC percentage index series. The study found that short-term spectral components and the windowed mean value (DC value) possess predictive capabilities regarding the success of biofeedback training. The higher spectral amplitude and lower variance in the lower frequency zone indicate lower chances of improvement, while the lower spectral amplitude and higher variance indicate higher chances of improvement.
Delineation of deep-seated crustal structures from magnetic data in the southeastern part of the Niger Delta basin, Nigeria
Authors: Eze Ohara E. , Okiwelu Anthony A. , Ekwok Stephen E. , Abdelrahman Kamal , Alzahrani Hassan , Ben Ubong C. , Ibrahim Amin , Akpa Chibuike , Andráš Peter , Ugar Samuel I. , Eldosouky Ahmed M.
Published: August 2024

Regional magnetic data in the southeastern segment of the Nigerian Niger Delta were evaluated with the aim of mapping deep-seated tectonic elements. Enhanced filtering operations and 3D forward modelling were applied on the magnetic data. These geologic features triggered the formation of rollover anticlines and faults that serve as structural traps in the study area. The filtered residual magnetic data revealed geologic structures characterized with NE - SW, N - S, and E - W orientations. The 3-D models detected the faulted crustal blocks, gradient zones, and intra-basement compositional magnetic variations. Furthermore, some prominent horst and graben structures as well as related normal faults characterized with distinct magnetic signatures were observed. Faults of base magnetic (of various compositions) were observed to be the fabricating mechanisms of the magnetic anomalies. Collectively, these structures influenced the patterns of magnetic anomalies with direct effects on the hydrocarbon trapping systems, as well as the pathways and accumulation zones for hydrothermal minerals. On the whole, the interpreted results revealed that the basement surface is rippling. Additionally, the depth result showed sedimentary thicknesses that ranged from 4–10 km. Again, the estimated crustal thickness varied from 14 to 19 km. This study has displayed the capabilities of the magnetic method in mapping the depth and configuration of basement rocks, which are crucial in controlling the formation of structural traps. Identifying these basement structures early helps in understanding the overall geological framework and potential hydrocarbon systems.
m7GRegpred: substrate prediction of N7-methylguanosine (m7G) writers and readers based on sequencing features
Authors: Zheng Yu , Li Haipeng , Lin Shaofeng
Published: August 2024

N7-Methylguanosine (m7G) is important RNA modification at internal and the cap structure of five terminal end of message RNA. It is essential for RNA stability of RNA, the efficiency of translation, and various intracellular RNA processing pathways. Given the significance of the m7G modification, numerous studies have been conducted to predict m7G sites. To further elucidate the regulatory mechanisms surrounding m7G, we introduce a novel bioinformatics framework, m7GRegpred, designed to forecast the targets of the m7G methyltransferases METTL1 and WDR4, and m7G readers QKI5, QKI6, and QKI7 for the first time. We integrated different features to build predictors, with AUROC scores of 0.856, 0.857, 0.780, 0.776, 0.818 for METTL1, WDR4, QKI5, QKI6, and QKI7, respectively. In addition, the effect of window lengths and algorism were systemically evaluated in this work. The finial model was summarized in a user-friendly webserver: http://modinfor.com/m7GRegpred/. Our research indicates that the substrates of m7G regulators can be identified and may potentially advance the study of m7G regulators under unique conditions.
Fall risk prediction using temporal gait features and machine learning approaches
Authors: Lim Zhe Khae , Connie Tee , Goh Michael Kah Ong , Saedon Nor ‘Izzati Binti
Published: August 2024

Introduction

Falls have been acknowledged as a major public health issue around the world. Early detection of fall risk is pivotal for preventive measures. Traditional clinical assessments, although reliable, are resource-intensive and may not always be feasible.

Methods

This study explores the efficacy of artificial intelligence (AI) in predicting fall risk, leveraging gait analysis through computer vision and machine learning techniques. Data was collected using the Timed Up and Go (TUG) test and JHFRAT assessment from MMU collaborators and augmented with a public dataset from Mendeley involving older adults. The study introduces a robust approach for extracting and analyzing gait features, such as stride time, step time, cadence, and stance time, to distinguish between fallers and non-fallers.

Results

Two experimental setups were investigated: one considering separate gait features for each foot and another analyzing averaged features for both feet. Ultimately, the proposed solutions produce promising outcomes, greatly enhancing the model’s ability to achieve high levels of accuracy. In particular, the LightGBM demonstrates a superior accuracy of 96% in the prediction task.

Discussion

The findings demonstrate that simple machine learning models can successfully identify individuals at higher fall risk based on gait characteristics, with promising results that could potentially streamline fall risk assessment processes. However, several limitations were discovered throughout the experiment, including an insufficient dataset and data variation, limiting the model’s generalizability. These issues are raised for future work consideration. Overall, this research contributes to the growing body of knowledge on fall risk prediction and underscores the potential of AI in enhancing public health strategies through the early identification of at-risk individuals.
Magnetohydrodynamical modeling of star-disk formation: from isolated spherical collapse towards incorporation of external dynamics
Authors: Kuffmeier Michael
Published: August 2024

The formation of protostars and their disks has been understood as the result of the gravitational collapse phase of an accumulation of dense gas that determines the mass reservoir of the star-disk system. Against this background, the broadly applied scenario of considering the formation of disks has been to model the collapse of a dense core assuming spherical symmetry. Our understanding of the formation of star-disk systems is currently undergoing a reformation though. The picture evolves from interpreting disks as the sole outcome of the collapse of an isolated prestellar core to a more dynamic picture where disks are affected by the molecular cloud environment in which they form. In this review, we provide a status report of the state-of-the-art of spherical collapse models that are highly advanced in terms of the incorporated physics together with constraints from models that account for the possibility of infall onto star-disk systems in simplified test setups, as well as in multi-scale simulations that cover a dynamical range from the Giant Molecular Cloud environment down to the disk. Considering the observational constraints that favor a more dynamical picture of star formation, we finally discuss the challenges and prospects in linking the efforts of tackle the problem of star-disk formation in combined multi-scale, multi-physics simulations.
Predicting the Future Capacity and Remaining Useful Life of Lithium-Ion Batteries Based on Deep Transfer Learning
Authors: Sun Chenyu , Lu Taolin , Li Qingbo , Liu Yili , Yang Wen , Xie Jingying
Published: August 2024

Lithium-ion batteries are widely utilized in numerous applications, making it essential to precisely predict their degradation trajectory and remaining useful life (RUL). To improve the stability and applicability of RUL prediction for lithium-ion batteries, this paper uses a new method to predict RUL by combining CNN-LSTM-Attention with transfer learning. The presented model merges the strengths of both convolutional and sequential architectures, and it enhances the model’s capability to grasp comprehensive information by utilizing the attention mechanism, thereby boosting overall performance. The CEEMDAN algorithm is used for NASA batteries with obvious capacity regeneration phenomena to alleviate the difficulties caused by capacity regeneration on model prediction. During the model transfer phase, the CNN and LSTM layers of the pre-trained model from the source domain are kept unchanged during retraining, while the attention and fully connected layers are fine-tuned for NASA batteries and self-tested NCM batteries. The final results indicate that this method achieves superior accuracy relative to other methods while addressing the issue of limited labeled data in the target domain through transfer learning, thereby enhancing the model’s transferability and generalization capabilities.
Dual and Multi-Target Cone-Beam X-ray Luminescence Computed Tomography Based on the DeepCB-XLCT Network
Authors: Liu Tianshuai , Huang Shien , Li Ruijing , Gao Peng , Li Wangyang , Lu Hongbing , Song Yonghong , Rong Junyan
Published: August 2024

Background and Objective: Emerging as a hybrid imaging modality, cone-beam X-ray luminescence computed tomography (CB-XLCT) has been developed using X-ray-excitable nanoparticles. In contrast to conventional bio-optical imaging techniques like bioluminescence tomography (BLT) and fluorescence molecular tomography (FMT), CB-XLCT offers the advantage of greater imaging depth while significantly reducing interference from autofluorescence and background fluorescence, owing to its utilization of X-ray-excited nanoparticles. However, due to the intricate excitation process and extensive light scattering within biological tissues, the inverse problem of CB-XLCT is fundamentally ill-conditioned. Methods: An end-to-end three-dimensional deep encoder-decoder network, termed DeepCB-XLCT, is introduced to improve the quality of CB-XLCT reconstructions. This network directly establishes a nonlinear mapping between the distribution of internal X-ray-excitable nanoparticles and the corresponding boundary fluorescent signals. To improve the fidelity of target shape restoration, the structural similarity loss (SSIM) was incorporated into the objective function of the DeepCB-XLCT network. Additionally, a loss term specifically for target regions was introduced to improve the network’s emphasis on the areas of interest. As a result, the inaccuracies in reconstruction caused by the simplified linear model used in conventional methods can be effectively minimized by the proposed DeepCB-XLCT method. Results and Conclusions: Numerical simulations, phantom experiments, and in vivo experiments with two targets were performed, revealing that the DeepCB-XLCT network enhances reconstruction accuracy regarding contrast-to-noise ratio and shape similarity when compared to traditional methods. In addition, the findings from the XLCT tomographic images involving three targets demonstrate its potential for multi-target CB-XLCT imaging.