bluuebunny/crossref_metadata_2025 huggingface dataset:
Compαrαtive chαrαcteristics of luminescent detector mαteriαls bαsed on α-Αl2O3-δ for neutron dosimetry
Authors: Αbashev R. M. , Boyarincev Α. I. , Milman I. I. , Petrakovich Α. D. , Surdo Α. I.
Published: August 2024

The optically stimulated luminescence (OSL) and the separation efficiency of the neutron and gamma components by OSL outputs were studied for samples of anion-deficient corundum (α-Αl2O3-δ) in ceramic and single-crystal forms with various neutron converters. For OSL dosimetry in mixed gamma-neutron fields, a detector material synthesized using ceramic technology consisting of a mixture of OSL active α-Αl2O3-δ and neutron-converter 6LiF powders in a ratio of 7:3 was selected as a promising one. The lower limit of the individual dose equivalent for such material under neutron irradiation does not exceed 30 μSv, and the dose dependence is linear up to 1 Sv.
Changes in magnetic characteristics of pipes during hydraulic and pneumatic tests of trunk pipelines
Authors: Myznov K. E. , Vasilenko O. N. , Kostin V. N. , Tronza V. S. , Bondina A. N. , Kukushkin S. S. , Tryakina N. Yu.
Published: August 2024

To identify the zones with the highest tensile stresses and deformations, a two-parameter magnetic method based on the measurement of coercive force and residual magnetic induction was applied. For realization of the method a mobile hardware and software complex DIUS-1.21M with an electromagnetic U-transducer was used, which was located along the pipe axis and along the pipe ring. Measurements were carried out on three pipes: in the first one magnetic characteristics were measured in the absence and under the influence of internal pressure; in the second and third ones — before the test and after the pipe fracture. It was revealed that internal pressure leads to the growth of residual magnetic induction in all zones both along the axis and along the ring, which indicates the occurrence of axial and circular tensile stresses in these zones, and the change of coercivity occurred ambiguously. It was found that fracture significantly increases the scatter of magnetic characteristics, which is explained by the complex nature of the stress-strain state of the fractured object.
Achievements of scientific organizations in the field of agriculture in 2023
Authors: Alferov А. А.
Published: August 2024

The main scientific results of the work in 2023 of scientific institutions subordinate to the Ministry of Education and Science of the Russian Federation and under the scientific and methodological guidance of the Department of Agricultural Sciences of the Russian Academy of Sciences on fundamental problems in the field of agriculture are presented – optimization of agricultural environmental management, agroecological assessment of lands, creation of adaptive farming systems and agrotechnologies of a new generation based on digitalization and regulation of flows of biogenic elements in agroecosystems, as well as biological and chemical means of intensification of agriculture, symbiotic engineering and genomic editing of the creation of plant-microbial systems, bioindication and biotesting of agroecosystems, and reclamation of contaminated agricultural facilities.
Water consumption and drip irrigation regimes of seedlings of fruit and berry crops in the central Non-Chernozem region
Authors: Dubenok N. N. , Gemonov A. V. , Lebedev A. V.
Published: August 2024

Current tasks in the production of seedlings of fruit and berry crops include improving technologies for growing planting material, including the use of irrigation. Currently, in world practice, the preference is given to environmentally friendly irrigation technologies, which include drip irrigation. The purpose of the research is to develop a scientifically based irrigation regime for drip watering of seedlings of fruit (plum, cherry, pear and apple) and berry (raspberry) crops in the conditions of the Central region of the non-Chernozem zone of the Central Russia. Research to substantiate drip irrigation regimes and study the water consumption of seedlings was carried out in the Michurinsky Garden of the Russian State Agrarian University – Moscow Timiryazev Agricultural Academy from 2011 to 2022. Field experiments on growing one-year-old, two-year-old and three-year-old seedlings were carried out in triplicate according to the following options: 1) control (without irrigation), 2) maintaining the moisture content of the root layer in the range of 60…80 % of the lowest moisture capacity, 3) 70…90 % of the lowest moisture capacity, and 4) 80…100 % of the lowest moisture capacity. The developed drip irrigation regimes for seedlings of fruit and berry crops make it possible to reduce the inter-irrigation period to an average of 2…9 days with low watering rates (on average 35.3…49.5 m3 per ha) depending on the pre-irrigation threshold (60, 70 and 80 % of the lowest moisture capacity) and moisture content of the growing season, and also ensure maintenance of the moisture content of the root layer of soil in specified ranges. When drip irrigation of seedlings, the main share in the total water consumption comes from moisture from precipitation (64 %) and irrigation rate (24 %).
Market volatility in cryptocurrencies: A comparative study using GARCH and TGARCH models
Authors: Bai G. Vidya , Frank Daniel , Birau Ramona , Popescu Virgil , B. S. Maddodi
Published: August 2024

Price volatility has a negative connotation, as it is associated with market instability, uncertainty, and loss. When markets swing, investors and traders tend to place additional bets anticipating further swings, resulting in increased price volatility. There are no indices to assess crypto price volatility, but investigating historical price fluctuations provides insights into the rising peaks and depressive troughs that occur at a faster and more extreme rate in crypto prices compared to asset values in mainstream markets. This study employed generalized autoregressive conditional heteroskedasticity (GARCH) as a comparison tool to measure the leverage effect and price volatility among two major cryptocurrencies, Bitcoin and Ethereum, for the period from 2017 to 2021. A unit root test was conducted to determine whether the data should be differenced or regressed, and an autoregressive conditional heteroskedasticity (ARCH) effect test was used to measure the relationships within heteroskedasticity. The study revealed that the prices increased astonishingly over these periods, despite drastic decreases, indicating negative correlations between cryptocurrencies and their volatility.
Organizational learning and sustainability in Nigerian public sector organizations: Is resilience a missing link?
Authors: Abdullahi Usman , Khadeem Ali Dhahi Al-Amrani , Mohamed Martadha Ahmad , Senasi Vally
Published: August 2024

This study addresses a notable void in the fields of human resource management and organizational studies, aiming to elucidate the intricate relationship between organizational learning (OL) and organizational sustainability (OSUS) within the context of public sector organizations (PSOs) in Nigeria. The primary objective is to investigate the direct impact of OL on OSUS while exploring the underlying mechanism of organizational resilience (ORES) as a mediator in this dynamic relationship. To achieve this goal, a comprehensive research design was implemented, utilizing cross-sectional surveys administered to a diverse sample of 348 participants over an extensive six-month data collection period. Employing a rigorous analytical approach, specifically Partial Least Squares Structural Equation Modeling (PLS-SEM) facilitated by the advanced software tool Smart-PLS, the hypothesized associations were rigorously scrutinized. The results of the analysis reveal compelling insights into the interplay between OL, ORES, and OSUS within Nigerian PSOs. Notably, the findings underscore a robust and positive predictive relationship between organizational learning and organizational sustainability, affirming the pivotal role of OL in fostering sustainable organizational practices. Furthermore, the study illuminates the direct and significant connections between OL and ORES, as well as between ORES and OSUS, highlighting the multifaceted nature of organizational resilience as a critical determinant of sustainability outcomes. Of particular significance is the identification of organizational resilience as a potent mediator in the link between OL and OSUS, underscoring its indispensable role in bolstering sustainability initiatives within public sector entities. These findings carry profound implications for organizational leaders and policymakers, emphasizing the imperative of cultivating resilient organizational cultures and fostering continuous learning environments to enhance sustainability across economic, social, and environmental dimensions. Ultimately, this study contributes valuable insights to the scholarly discourse on organizational dynamics, offering novel perspectives on the complex interrelationships between OL, ORES, and OSUS in the unique context of Nigerian PSOs.
Customer behavioural content recommendation system using decision tree and genetic algorithm for online shopping websites
Authors: Deshmukh Swapnil , Shinde Ashwini , Shinde Sagar , Vanam Harika , Somkunwar Rachna , Mungale Nirmal
Published: August 2024

E-commerce has been overgrown due to the ongoing advancements in Internet Technology and the notable enhancement of network fundamentals. Nowadays, the most popular type of electronic commerce is online shopping. These days, user profile-based online recommender systems are popular in engineering and research fields. Getting users' profiles right is essential for making recommendations. Many studies on extracting user profiles, including content-based recommendations, have been initiated recently. We have introduced an intelligent recommendation system for e-commerce, aiming to streamline online shopping by addressing information overload. This system leverages customer behaviour to tailor personalized suggestions and enhance user experiences. It combines a genetic algorithm and a decision tree model for e-commerce platforms. The goal is to smooth the shopping journey, ensuring users find what they seek amidst the vast online options. This approach prioritizes user preferences, reducing the risk of overlooking crucial details when navigating online stores. Through experiments and analysis, we assess its effectiveness compared to conventional recommendation systems. We tested the model using publicly available datasets, comparing its performance against existing recommendation systems. The suggested approach is targeted to decrease recommendation sparsity and increase recommendation accuracy.
The impact of mobile short video platform characteristics on users’ continuous use behavior in China: A stimulus-organism-response perspective
Authors: Xu Jie , Ismail Adibah Binti , Jamal Jamilah Binti
Published: August 2024

The features of mobile short video are the important driver for users’ continuous use behavior, but the influence of these characteristics on users’ sustained use behavior has been scarcely studied. Building upon the stimulus-organism-response theory, this study aims to unravel the impact mechanism behind short video users’ continuous usage. It surveyed 780 TikTok users aged 20-39 in China and collected 609 responses through an online self-administered questionnaire. The covariance-based structural equation modeling (CB-SEM) was employed for data analysis to test the research model and hypotheses. Empirical results showed that entertainment and sociability have a significant positive effect on user’s continuous use behavior and perceived usefulness also positively influences user’s continuous use behavior. Moreover, the relationship between mobile short video characteristics (mobility, sociability, and entertainment) and continuous use behavior is mediated by user’s perceived usefulness. The current research not only offers fresh insights into the intricate relationship between mobile short video characteristics and users’ continuous usage behavior, but also provides practical guidance for enterprises and platform operators to enhance user experience and retention.
A comparative study of Vietnamese and English swear words: A discourse analysis perspective
Authors: Tran Du Thanh
Published: August 2024

In the field of language studies, a number of investigations have been carried out to investigate the usage of Vietnamese and English curse words independently; however, relatively few examinations have been carried out to assess the similarities and differences between the two. With the purpose of comparing and contrasting swear words in Vietnamese and English from the point of view of comparative discourse analysis, the study has investigated those that are regularly used in Vietnamese and English, taking into consideration the cultural and socioeconomic backgrounds of both Vietnamese and American people. In addition to the commonalities, the findings demonstrated that the ways in which swear words are utilized in different cultures are distinct. Based on the findings of the research, the study makes a contribution to providing a more in-depth understanding of the social practice of swearing, the factors that influence the use of swear words in different cultures, and the strategies that can be utilized to effectively combat the use of swear words in social and cross-cultural communication.
The current situation and strategies for cultivating college students' waste sorting behaviors through interactive media intervention
Authors: Su Yongjuan , Ju Kun
Published: August 2024

With the rapid development of information technology, interactive media has become a new generation of educational tools and means. In the field of waste sorting education, the application of interactive media offers new possibilities for enhancing college students' environmental awareness and participation. Through a national survey of college students and data analysis using SPSS software, this study assesses the effects of different interactive media forms and elements on college students' waste sorting behaviors caused by factors such as gender, age, and living region. The study also employs the Chi-square test to determine whether the distribution differences between various categorical variables are significant, thereby verifying the validity of the research hypotheses. Statistical analysis found that gender and age factors have a noticeable impact on media preference in the process of cultivating college students' waste sorting behaviors through interactive media intervention, while the differences in living regions do not show a significant influence. It is recommended that government authorities and interactive media practitioners develop more targeted and personalized educational strategies and guidance content to effectively enhance college students' awareness and behavioral norms regarding waste sorting.
Development of a novel instant soup: Evaluation of organoleptic, physicochemical and nutritive values
Authors: Islam Md. Tazul , Huq A. K. Obidul , Farzana Tasnim
Published: August 2024

Instant Soup mix is a thick strew of mixtures generally designed for fast and simple preparation. The study's objectives included the development of an instant soup mix enhanced with chitosan and chuijhal (Piper chaba) and evaluating several formulations' quality characteristics. A mechanical drier was employed at the investigation's drying and dehydrating stages to ensure constant airflow and temperature. Chitosan powder was used as 0, 5, 10 and 15%, respectively, for developing various formulations. Later, these were reconstituted by boiling water to manufacture the soup mix. Proximate composition of instant soup mixes with different formulations showed no significant differences. However, the formulated soup, F-3 had the best organoleptic and functional characteristics. This instant soup mix powder was characterized by Attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) and showed the presence of chitosan. Therefore, chitosan along with chuijhal, an alternative functional food sources can be used as readily soup mix powder which provide optimum nutrition for the individuals.
Pengaruh Pemberian Ekstrak Daun Mangrove Api-api (Avicennia sp.) pada Pakan Terhadap Pertumbuhan Ikan Bandeng (Chanos chanos)
Authors: Wijianto  , Fahrurrozi Ashari
Published: August 2024

The aim of this research is to examine the effect of a combination of feed with api-api mangrove leaf extract (Avicennia sp.) on the growth of milkfish (Chanos chanos). One ingredient that can be used to increase fish growth is mangrove leaf extract. Mangrove leaves contain the most antibacterial compounds. This research used mangrove leaf extract Avicennia sp. which was added to the feed with 4 treatments and 3 replications. The research method used was experimental with a research duration of one month. The test results were processed using ANOVA and further tested using the Duncan Test. Based on research that has been carried out, the addition of mangrove leaf extract Avicennia sp. on feed can increase the growth of milkfish including length growth and feed efficiency with the best treatment, namely treatment B with a dose of mangrove extract of 75 ppm/500 grams of feed.
Pemanfaatan Rumput Laut Kappaphycus Sp. Di Kepulauan Yapen Papua Sebagai Bahan Bioplastik Dengan Penambahan Kitosan
Authors: Simamora May Tree , Indriyani Ervina , Runtuboi Dirk Y.P. , Mishbach Imam , Gabriela O.K  , Fabianus Batlery
Published: August 2024

Indonesia produces 64 million tons of plastic waste every year and 3.2 million tons of it is thrown into the sea, so research needs to be done to create plastic that is environmentally friendly and easily decomposed (bioplastic). Alginate and carrageenan are polysaccharides produced from seaweed which have potential as materials for making bioplastics. This research aims to determine the effect of alginate and carrageenan on the quality, physical properties, mechanical properties and biodegradability of carrageenan-chitosan bioplastics with glycerol plasticizer. Carrageenan is obtained from extraction of Kappaphycus sp. who comes from the Yapen Islands, Papua Province. Making a carrageenan bioplastic solution by dissolving carrageenan flour (1; 1.5; 2; 2.5 grams) and 5 ml of glycerol in 100 ml volume of vingga distilled water then heating using a magnetic stirrer for 15 minutes at 90oC. The process of making a chitosan solution is by dissolving 2 grams of chitosan, 3 ml of glycerol, and 1 ml of glacial acetic acid in 94 ml of distilled water then heating with a magnetic stirrer for 10 minutes. The research results show that. The best concentration of carrageenan in the alginate-carrageenan composite bioplastic is 1.5 grams because it has physical and mechanical properties that meet the Japanese Industrial Standard and SNI 7188.7:2016 except for water resistance.
Analisis Nitrat dan Fosfat Terhadap Kesuburan Perairan Muara Sungai Bodri
Authors: Mishbach Imam , Muhammad Zainuri Muhammad , Lolita Tuhumena Lolita , Gea Liyatin , Agamawan Lalu Panji Imam , Hamuna Baigo
Published: August 2024

Nitrate (NO3-) and phosphate (PO4^3-) are two compounds that have a significant impact on aquatic ecosystems. Nitrate, which consists of nitrogen and oxygen, has both natural and anthropogenic sources. Meanwhile, phosphate, which contains phosphorus and oxygen, is an important component in plant nutrition. This is a problem in the Bodri River Estuary, Kendal. The objective of this study was to assess the nitrate and phosphate content and their distribution pattern. The research was conducted based on observation method with spatio-temporal approach. A total of 9 research stations and sampling times were June 30, September 1 and October 27, 2018. Nitrate and phosphate content were determined as independent variables. The results showed that the nitrate content at 9 research stations in the Bodri River Estuary was in the range of 0.48-0.8 mg/l and Phosphate 0.8-4.0 mg/l, Kendal Regency was in a fertile/eutrophic condition. The waters of the Bodri River Estuary, Kendal Regency show a high level of fertility or eutrophic.
Gambaran Pemberian ASI Eksklusif dan Riwayat KEK dan Kejadian Stunting pada Balita
Authors: Kamelia Raissa , Fatimah Fatimah , Haqueena Amalia
Published: August 2024

Stunting merupakan kondisi gagal pertumbuhan pada anak ditandai dengan panjang badan anak kurang dari 2 standar deviasi. Stunting dipengaruhi oleh beberapa faktor yaitu pemenuhan nutrisi di awal kehidupan, salah satunya ASI eksklusif dan faktor kehamilan seperti riwayat hamil dengan KEK (Kurang Energi Kronis). Tujuan penelitian ini untuk mengetahui gambaran pemberian ASI eksklusif dan riwayat KEK pada ibu semasa hamil dengan kejadian stunting pada balita usia 0-24 bulan di wilayah kerja Kelurahan Antasan Besar. Jenis penelitian ini adalah observasional deskriptif. Populasi penelitian adalah semua balita di wilayah kerja Kelurahan Antasan Besar sebanyak 242 balita. Sampel diambil sebanyak 35 balita dengan teknik accidental sampling. Pengumpulan data dikumpulkan melalui wawancara dengan kuesioner dan pengukuran tinggi badan balita. Ditemukan 6 balita mengalami stunting (17,1%), 13 balita mendapatkan ASI eksklusif (37,1%) dan 22 balita lainnya (62,9%) tidak mendapatkan ASI eksklusif. Serta sebanyak 7 ibu balita mengalami KEK (20%) dan 28 ibu balita tidak mengalami KEK (80%). Diharapkan masyarakat dapat meningkatkan upaya pencegahan stunting dengan mempelajari penatalaksanaan stunting yaitu menerapkan pemberian ASI eksklusif pada bayi dan peningkatan status gizi remaja serta rutin mengkonsumsi TTD (Tablet Tambah Darah) agar mengurangi risiko mengalami KEK ketika hamil.
Pengaruh Edukasi Gizi Dengan Media Animasi Terhadap Pengetahuan dan Sikap Ibu Tentang Stunting
Authors: Berliana Dewi  , Dewi Zulfiana , Widyastuti Hariati Niken
Published: August 2024

Stunting merupakan tinggi badan yang kurang menurut umur (<-2SD), ditandai dengan terlambatnya pertumbuhan anak yang mengakibatkan kegagalan untuk mencapai tinggi badan yang normal sesuai usia anak. Ibu berperan penting dalam menjaga kualitas gizi balitanya. Salah satu pencegahan Stunting yaitu melalui edukasi pada ibu dalam perubahan pengetahuan dan sikap serta peningkatan kesehatan dan gizi balita. Data menunjukkan Puskesmas Alabio menduduki urutan teratas yang memiliki prevalensi Stunting di Kabupaten Hulu Sungai Utara. Penelitian ini bertujuan untuk mengetahui pengaruh pemberian edukasi melalui media video animasi terhadap pengetahuan dan sikap ibu tentang balita stunting. Jenis penelitian adalah eksperimen dengan  rancangan one group pre test and post test design with control grup. Populasi dalam penelitian adalah ibu yang memiliki balita stunting di Puskesmas Alabio dengan sampel penelitian terdiri dari kelompok intervensi dan kontrol dengan total 32 sampel diambil dengan teknik Simple Random Sampling. Analisis data menggunakan uji Wilcoxon dan Mann Whitney. Hasil penelitian menunjukkan pengaruh edukasi gizi dengan media animasi terhadap pengetahuan ibu tentang stunting p value  0,000 (a<0,05) dan ada pengaruh edukasi gizi dengan media animasi terhadap sikap ibu tentang stunting p value 0,023 (a<0,05). Hasil rerata juga menunjukan peningkatan pengetahuan dan sikap ibu menggunakan media animasi lebih tinggi dibandingkan dengan edukasi menggunakan metode ceramah saja. Hendaknya pihak puskesmas dapat menjadikan acuan kebijakan bahwa media promosi kesehatan video animasi cukup efektif digunakan untuk pendidikan atau sosialisasi kepada ibu tentang pemahaman stunting. Diharapkan kepada ibu yang telah mendapatkan edukasi mampu menerapkan informasi dari penyuluhan yang telah didapatkan pada kehidupan sehari-hari.
Hubungan Pengetahuan Ibu dan Pemberian ASI Eksklusif dengan Kejadian Stunting pada Balita
Authors: Oktavia Norsifa , Sajiman  , Mas’odah Siti
Published: August 2024

Berdasarkan data SSGI tahun 2021, prevalensi stunting di Provinsi Kalsel (30%) melebihi prevalensi di indonesia (24,4%). Prevalensi stunting di Tanah Laut pada tahun 2021 sebesar 31%, dengan prevalensi tertinggi pada wilayah kerja Puskesmas Padang Luas pada tahun 2022 (21,67%), dimana kejadian stunting tertinggi di desa Raden (46%). Penelitian ini untuk mengetahui Hubungan Pengetahuan Ibu dan Pemberian ASI Eksklusif terhadap kejadian Balita Stunting di Desa Raden Kecamatan Kurau Kabupaten Tanah Laut. Jenis penelitian observasional analitik dengan metode case control. Populasi adalah balita 0-59 bulan yang mengalami stunting, dengan jumlah kasus 10 balita dan 20 balita sebagai control dimana kelompok kasus  diambil secara Total Sampling. Pengambilan data pengetahuan dan pemberian ASI Eksklusif dilakukan dengan wawancara menggunakan kuesioner. Analisis data menggunakan uji Rank Spearman. Hasil penelitian menunjukkan balita pada kelompok kasus 90% berusia 24-59 bulan dan 60% perempuan, sedangkan kelompok kontrol 75% berusia 24-59 bulan dan jenis kelamin 1:1 laki-laki dan perempuan. Karakteristik ibu balita pada kelompok kasus 50% berusia 21 sampai 35 tahun, 70% tidak bekerja dan 70% pendidikan dasar, sedangkan kelompok kontrol 80% berusia 21 sampai 35 tahun, 35% tidak bekerja dan 65% pendidikan dasar. Kelompok kasus yang memiliki ibu dengan 50% pengetahuan kurang, sedangkan kelompok kontrol 15% pengetahuan kurang. Pada kelompok kasus hanya 30% diberikan ASI Eksklusif, sedangkan kelompok kontrol 60% mendapat ASI Eksklusif. Penelitian menunjukkan ada hubungan antara pengetahuan ibu dan pemberian ASI Ekslusif  dengan stunting pada balita.
Hubungan Pengetahuan, Sikap Ibu dan Ketersediaan Sarana Air Bersih dengan Kejadian Diare pada Balita
Authors: Zahra Fatimatu , Aprianti  , Anwar Rosihan
Published: August 2024

Diare merupakan penyebab kematian nomor dua didunia pada anak dibawah umur lima tahun, Data menunjukkan puskesmas Sungai Tabuk 3 menduduki urutan pertama yang memiliki prevalensi diare pada balita tertinggi di Kabupaten Banjar. Penelitian ini bertujuan untuk mengetahui hubungan pengetahuan, sikap ibu dan ketersediaan sarana air bersih dengan kejadian diare pada balita. Jenis penelitian ini menggunakan jenis penelitian observasionalanalitik. Populasi dalam penelitian ini adalah seluruh balita yang bertempat tinggal diwilayah kerja puskesmas sungai tabuk 3 dengan sampel 95 oramg menggunakan teknik simple random sampling. Pengumpulan data pengetahuan, sikap, ketersediaan sarana air bersih dan kejadian diare didapatkan melalui wawancara menggunakan kuesioner. Analisis data menggunakan uji korelasi Chi-Square. Hasil penelitian menunjukkan 64% balita diare, 45% pengetahuan responden baik, 64,2 sikap responden sedang dan 63% responden memiliki sarana air bersih . Analisis hasil uji statistik Chi-Square didapatkan ada hubungan pengetahuan (p < 0.036),  sikap (p < 0.000) dan ketersediaan sarana air bersih (p < 0.000) dengan kejadian diare pada balita diwilayah kerja puskesmas sungai tabuk 3. Para orang tua disarankan memahami pencegahan, penyebab, dan cara penanganan diare pada balita.
Faktor-Faktor yang Berhubungan dengan Status Pasien Gagal Ginjal Kronik Hemodialisis di RSD Idaman Kota Banjarbaru
Authors: Mustafa Dimi , Abdurrachim Rijanti
Published: August 2024

Malnutrisi merupakan salah satu permasalahan gizi yang dihadapi oleh pasien gagal ginjal kronik hemodialisis. Penelitian ini untuk mengetahui faktor-faktor yang berhubungan dengan status gizi pasien gagal ginjal kronik di Rumah Sakit Daerah Idaman Kota Banjarbaru. Jenis penelitian observasional dengan cross sectional pada 16-30 Maret 2021. Teknik sampling yaitu purposive sampling dengan kriteria inklusi dan eksklusi yang berjumlah 30 pasien. Cara pengumpulan data dengan teknik wawancara menggunakan kuesioner yang dianalisis secara univariat dan bivariat dengan uji Korelasi Rank Spearman (α = 0,05) Hasil  menunjukkan 63,3% berumur 40-59 tahun, 76,7% laki-laki, 46,7% pendidikan SMA/Sederajat, 26,7% wiraswasta, 86,7% asupan energi tidak terpenuhi, 83,3% asupan protein total tidak terpenuhi, 83,3% asupan protein hewani tidak terpenuhi, 96,7% asupan protein nabati tidak terpenuhi, 70% lama hemodialisis >1 tahun, 53,3% ansietas ringan, 60% status gizi normal dan 88,9% telah terjadi penurunan berat badan walaupun status gizinya normal. Tidak terdapat hubungan antara asupan energi, protein total, protein hewani,  protein nabati, lama hemodialisis dan ansietas dengan status gizi pasien gagal ginjal kronik hemodialisis di Poliklinik Hemodialisis Rumah Sakit Daerah Idaman Kota Banjarbaru (p = > 0,05).
An International Retrospective Early Natural History Study of LAMA2-Related Dystrophies
Authors: Hinkley Lauren , Orbach Rotem , Park Justin , Alvarez Rachel , Dziewczapolski Gustavo , Bönnemann Carsten G. , Foley A. Reghan
Published: August 2024

Background: LAMA2-related dystrophies (LAMA2-RDs) represent one of the most common forms of congenital muscular dystrophy and have historically been classified into two subtypes: complete or partial deficiency of laminin-211 (merosin). Patients with LAMA2-RD with the typical congenital phenotype manifest severe muscle weakness, delayed motor milestones, joint contractures, failure to thrive, and progressive respiratory insufficiency. Objective: While a comprehensive prospective natural history study has been performed in LAMA2-RD patients over 5 years of age, the early natural history of patients with LAMA2-RD 5 years and younger has not been comprehensively characterized. Methods: We extracted retrospective data for patients with LAMA2-RD ages birth through 5 years via the Congenital Muscle Disease International Registry (CMDIR). We analyzed the data using a phenotypic classification based on maximal motor milestones to divide patients into two phenotypic groups: “Sit” for those patients who attained that ability to remain seated and “Walk” for those patients who attained the ability to walk independently by 3.5 years of age. Results: Sixty patients with LAMA2-RD from 10 countries fulfilled the inclusion criteria. Twenty-four patients had initiated non-invasive ventilation by age 5 years. Hospitalizations during the first years of life were often related to respiratory insufficiency. Feeding/nutritional difficulties and orthopedic issues were commonly reported. Significant elevations of creatine kinase (CK) observed during the neonatal period declined rapidly within the first few months of life. Conclusions: This is the largest international retrospective early natural history study of LAMA2-RD to date, contributing essential data for understanding early clinical findings in LAMA2-RD which, along with the data being collected in international, prospective early natural history studies, will help to establish clinical trial readiness. Our proposed nomenclature of LAMA2-RD1 for patients who attain the ability to sit (remain seated) and LAMA2-RD2 for patients who attain the ability to walk independently is aimed at further improving LAMA2-RD classification.
Towards semantically enriched embeddings for knowledge graph completion
Authors: Alam Mehwish , van Harmelen Frank , Acosta Maribel
Published: August 2024

Embedding based Knowledge Graph (KG) completion has gained much attention over the past few years. Most of the current algorithms consider a KG as a multidirectional labeled graph and lack the ability to capture the semantics underlying the schematic information. This position paper revises the state of the art and discusses several variations of the existing algorithms for KG completion, which are discussed progressively based on the level of expressivity of the semantics utilized. The paper begins with analysing various KG completion algorithms considering only factual information such as transductive and inductive link prediction and entity type prediction algorithms. It then revises the algorithms utilizing Large Language Models as background knowledge. Afterwards, it discusses the algorithms progressively utilizing semantic information such as class hierarchy information within the KGs and semantics represented in different description logic axioms. The paper concludes with a critical reflection on the current state of work in the community, where we argue that the aspects of semantics, rigorous evaluation protocols, and bias against external sources have not been sufficiently addressed in the literature, which hampers a more thorough understanding of advantages and limitations of existing approaches. Lastly, we provide recommendations for future directions.
Proximal humeral fracture: A commentary on systematic reviews of surgical versus non-surgical management in older adults
Authors: May Pauline , Harrison Joanna , Williams Charlotte , Hill James
Published: August 2024

BACKGROUND: Proximal humeral fractures (PHFs) are common fractures in older adults and their prevalence is on the rise. Recovery following this fracture can be complex and disabling. Treatment varies from non-surgical management such as immobilisation to surgical procedures, with choice dependent on type and severity of fracture and patient health. OBJECTIVE: Several systematic reviews have considered the evidence for non-surgical versus surgical management of PHF in older adults. This commentary considers these findings for clinical practice and further research. METHODS: Three systematic reviews exploring non-surgical versus surgical management were selected based on the quality of their included evidence, and individually critically appraised. Findings from the reviews were reported for each outcome, and the implications considered for clinical practice and future research. RESULTS: Findings from the three reviews suggest that surgical management of PHF in older adults does not result in better functional outcomes or quality of life and non-surgical management should achieve acceptable upper limb function while decreasing the risks of surgery. More complex three-part fractures may also be managed non-surgically with fair to good functional results relative to fracture severity. CONCLUSION: The findings align with current guidance to offer non-surgical management to uncomplicated cases of PHF in adults and older adults. More complex three-part PHFs may also be managed well non-surgically. There is however a lack of evidence and guidance on the specifics of rehabilitation for this type of management and further research is needed to evaluate the factors that contribute to the effectiveness of non-surgical interventions.
Toward Laboratory Notification in Pediatric Emergency Departments
Authors: de Masi Alexandre , Ehrler Frédéric , Siebert Johan N.
Published: August 2024

This study explores how patient’s laboratory result are accessed in pediatric emergency departments. The rapid turnaround of laboratory results and their timely access by the medical team are crucial for effective patient management and care decision-making. This study revealed a systematic access prioritization to the Electronic Health Record, led by physicians, followed by nurses, and then other healthcare staff Despite efforts to streamline access through computerized laboratory results, optimized laboratory turnaround time and integration of final results into the electronic health record remain key challenges. Delays in accessing analysis results issued by the central hospital laboratory are consistently experienced across various laboratory types, indicating broader systemic workflow issues rather than inefficiencies specific to individual laboratories.
RISKOCA: A Smartphone-Based Digital Platform for Oral Cancer Self-Examination
Authors: Wongsapai Mansuang , Jaidee Ekawit , Thanathornwong Bhornsawan , Suebnukarn Siriwan , Wuttisarnwattana Patiwet
Published: August 2024

We pioneered a smartphone-based digital platform for oral cancer self-examination, namely RISKOCA. It enabled anyone to self-submit their own oral images to evaluate the potential risk of oral lesions. Integrative artificial intelligence (AI) could immediately report if the image might have a type of oral cancer as well as the precise locations of the lesions. Participating specialist dentists would have to re-evaluate and confirm the results before sending back recommendation to the patients. High participation and satisfaction indicated the success of this pilot study. This project aims to promote oral public health and health surveillance, both nationally and globally.
Digital Inertia: A Qualitative Study with a Caregiver Association Network About Informal Caregivers’ Non-Use of IT Applications
Authors: Premanandan Shweta , Ahmad Awais , Cajander Åsa
Published: August 2024

Informal caregivers, crucial contributors to healthcare, face myriad challenges in supporting individuals with health needs. While IT applications offer promising solutions, some caregivers hesitate to adopt them, favoring traditional communication approaches with healthcare and support providers. This study, conducted in Sweden, presents why caregivers are reluctant to use IT applications. Through a qualitative approach involving group interviews with caregiver association members, four key themes emerged, namely, need for in-person support with grief and stress, need for private support spaces, cognitive impairment, and financial constraints. Understanding these barriers is crucial for developing inclusive caregiving strategies that balance IT-based solutions with in-person assistance, promoting a sustainable caregiving support ecosystem.
Problem Detection and Optimization of a Personal Health Record Driven by a Helpdesk Support Tool
Authors: Bruchanski Lucila , Grande Ratti María Florencia , Otero Carlos M. , Plazzotta Fernando
Published: August 2024

This study aims to assess the value of a help desk in a Personal Health Record (PHR) for monitoring and improving PHR functionalities and processes. Through analysis of 327 help desk tickets categorized by users as telemedicine and PHR requests, we identified four main gaps: information and feedback, access to clinical documents, usability, and ubiquity. The tickets highlighted end users’ needs such as timely feedback, contextual information, effective communication, and ease of access to clinical documentation. These findings were crucial for initiating improvement cycles for various functionalities and processes within the PHR.
Multi-Source Data ETL (Extract, Transform, Load) for a Genetic Epilepsy Diagnosis and Treatment Dashboard
Authors: Pérez Garriga Ariadna , Honrath Philipp , Wolking Stefan , Coldewey Beatrice , Bozkir Susann A. , May Patrick , Weber Yvonne , Röhrig Rainer , Lipprandt Myriam
Published: August 2024

The growing number of genes identified in relation to epilepsy represents a major breakthrough in diagnosis and treatment, but experts face the challenge of efficiently accessing and consolidating the vast amount of genetic data available. Therefore, we present the process of transforming data from different sources and formats into an Entity-Attribute-Value (EAV) model database. Combined with the use of standard coding systems, this approach will provide a scalable and adaptable database to present the data in a comprehensive way to experts via a dashboard.
Information Platform for Antibiotics
Authors: Sannes Thormodsen Marcus , Babic Ankica
Published: August 2024

Antibiotic stewardship is continuously evolving to incorporate results from novel research, clinical findings, and specialist recommendations. Numerous dedicated information sources, including web-based solutions, are available to keep medical practitioners informed. However, the provided information is often extensive, requiring users to extract the relevant facts. This study aimed to deliver an information platform that provides references, links, and information in a straightforward and engaging manner. Implementing a high-fidelity prototype prioritized medical and patient-oriented functionalities, structured around questions and quizzes. Additionally, the platform offers access to professional references, such as official healthcare guidelines and scientific articles. The development process adhered to design principles and included user testing with established usability measures (SUS, Nielsen’s heuristics), resulting in satisfactory scores from IT experts and somewhat lower scores from users. Although designed to cater to a broader range of users, more work is needed to improve usability for the general public.
Digital Transformation of the Healthcare Sector in Africa: First Results from a Study on Success Factors and Barriers for the Implementation of mHealth in South Africa and Tanzania
Authors: Holl Felix , Blessing Sandra , Sukums Felix , Kuhn Peter
Published: August 2024

This study explores the critical success factors and barriers to mHealth implementation in South Africa and Tanzania. Through an unstructured literature review and semi-structured interviews with eight mHealth experts, the study uncovers common challenges, including lack of alignment with user needs, inadequate government support, and sustainability issues. Critical success factors identified include user-friendly design and adaptable tools offered at low or no cost. The findings offer insights for organizations and startups in the mHealth sector, highlighting essential considerations for success and barriers alongside strategies for overcoming obstacles and fostering an environment conducive to mHealth integration.
Pitfalls of Artificial Intelligence in Medicine
Authors: Aldosari Bakheet , Alanazi Abdullah
Published: August 2024

Artificial Intelligence (AI) offers great promise for healthcare, but integrating it comes with challenges. Over-reliance on AI systems can lead to automation bias, necessitating human oversight. Ethical considerations, transparency, and collaboration between healthcare providers and AI developers are crucial. Pursuing ethical frameworks, bias mitigation techniques, and transparency measures is key to advancing AI’s role in healthcare while upholding patient safety and quality care.
Demystifying XAI: Requirements for Understandable XAI Explanations
Authors: Stodt Jan , Reich Christoph , Knahl Martin
Published: August 2024

This paper establishes requirements for assessing the usability of Explainable Artificial Intelligence (XAI) methods, focusing on non-AI experts like healthcare professionals. Through a synthesis of literature and empirical findings, it emphasizes achieving optimal cognitive load, task performance, and task time in XAI explanations. Key components include tailoring explanations to user expertise, integrating domain knowledge, and using non-propositional representations for comprehension. The paper highlights the critical role of relevance, accuracy, and truthfulness in fostering user trust. Practical guidelines are provided for designing transparent and user-friendly XAI explanations, especially in high-stakes contexts like healthcare. Overall, the paper’s primary contribution lies in delineating clear requirements for effective XAI explanations, facilitating human-AI collaboration across diverse domains.
How Interoperability Can Enable Artificial Intelligence in Clinical Applications
Authors: Rehburg Filip , Graefe Adam , Hübner Miriam , Thun Sylvia
Published: August 2024

This paper explores the critical role of Interoperability (IOP) in the integration of Artificial Intelligence (AI) for clinical applications. As AI gains prominence in medical analytics, its application in clinical practice faces challenges due to the lack of standardization in the medical sector. IOP, the ability of systems to exchange information seamlessly, emerges as a fundamental solution. Our paper discusses the indispensable nature of IOP throughout the Data Life Cycle, demonstrating how interoperable data can facilitate AI applications. The benefits of IOP encompass streamlined data entry for healthcare professionals, efficient data processing, enabling the sharing of data and algorithms for replication, and potentially increasing the significance of results obtained by medical data analytics via AI. Despite the challenges of IOP, its successful implementation promises substantial benefits for integrating AI into clinical practice, which could ultimately enhance patient outcomes and healthcare quality.
Comparing nnU-Net and deepflash2 for Histopathological Tumor Segmentation
Authors: Hieber Daniel , Haisch Nico , Grambow Gregor , Holl Felix , Liesche-Starnecker Friederike , Pryss Rüdiger , Schlegel Jürgen , Schobel Johannes
Published: August 2024

Machine Learning (ML) has evolved beyond being a specialized technique exclusively used by computer scientists. Besides the general ease of use, automated pipelines allow for training sophisticated ML models with minimal knowledge of computer science. In recent years, Automated ML (AutoML) frameworks have become serious competitors for specialized ML models and have even been able to outperform the latter for specific tasks. Moreover, this success is not limited to simple tasks but also complex ones, like tumor segmentation in histopathological tissue, a very time-consuming task requiring years of expertise by medical professionals. Regarding medical image segmentation, the leading AutoML frameworks are nnU-Net and deepflash2. In this work, we begin to compare those two frameworks in the area of histopathological image segmentation. This use case proves especially challenging, as tumor and healthy tissue are often not clearly distinguishable by hard borders but rather through heterogeneous transitions. A dataset of 103 whole-slide images from 56 glioblastoma patients was used for the evaluation. Training and evaluation were run on a notebook with consumer hardware, determining the suitability of the frameworks for their application in clinical scenarios rather than high-performance scenarios in research labs.
On Entity Embeddings for Ordinal Features as Representation Learning in Recurrence Prediction of Urothelial Bladder Cancer
Authors: Schwarz Louisa , Rothlauf Franz
Published: August 2024

Background: Urothelial Bladder Cancer (UBC) is a common cancer with a high risk of recurrence, which is influenced by the TNM classification, grading, age, and other factors. Recent studies demonstrate reliable and accurate recurrence prediction using Machine Learning (ML) algorithms and even outperform traditional approaches. However, most ML algorithms cannot process categorical input features, which must first be encoded into numerical values. Choosing the appropriate encoding strategy has a significant impact on the prediction quality. Objective: We investigate the impact of encoding strategies for ordinal features in the prediction quality of ML algorithms. Method: We compare three different encoding strategies namely one-hot, ordinal, and entity embedding in predicting the 2-year recurrence in UBC patients using an artificial neural network. We use ordered categorical and numerical data of UBC patients provided by the Cancer Registry Rhineland-Palatinate. Results: We show superior prediction quality using entity embedding encoding with 84.6% precision, an overall accuracy of 73.8%, and 68.9% AUC on testing data over 100 epochs after 30 runs compared to one-hot and ordinal encoding. Conclusion: We confirm the superiority of entity embedding encoding as it could provide a more detailed and accurate representation of ordinal features in numerical scales. This can lead to enhanced generalizability, resulting in significantly improved prediction quality.