bluuebunny/crossref_metadata_2025_split huggingface dataset:
How safe and effective is oral analgesia for hip fracture patients? – a prospective cohort study
Authors: Muhammad Zehra Abdul , Ahmad Tashfeen 
Published: February 2025

Objective: To assess the safety and pain reduction profile of routinely prescribed oral analgesics in patients of hip fracture surgery.
Method: The single-centre, prospective, cohort study was conducted from June 2022 to July 2023 at the Aga Khan University Hospital, Karachi and comprised adult patients of either gender with hip fractures. The analgesics prescribed at the time of hospital discharge and 1-week follow-up were recorded along with pain and adverse effects till the 2-week post-discharge follow-up. Pain was recorded using the visual analogue scale, with the target score set at 3/10. The relationship between covariates to pain or adverse events was assessed. Possible analgesic-related deaths/adverse events, absolute risk and age-specific death rates were also calculated. Data was analysed using SPSS 19.
Results: Of the 133 patients, 80(60.1%) were females and 53(39.8%) were males. The overall median age was 73 years (interquartile range: 16 years). The median pain score was 4 (interquartile range: 2) and 2 (interquartile range: 2) at 1-week and 2-week follow-up, respectively. Adverse events were experienced by 83(62.4%) patients, while 1(0.75%) patient was lost to follow-up at both follow-ups. Of the remaining 132(99.2%) patients, 106(80.3%) were aged >60 years, and 26(19.6%) were aged <60 years. Sub-optimal analgesia at 1-week follow-up with high adverse events was observed after combining acetaminophen with analgesics like ibuprofen (100% and 50% of 2), diclofenac (55% and 50% of 20), meloxicam (50% and 50% of 4), celecoxib (71.4% and 42.8% of 7), tramadol (60% and 57% of 35), pregabalin (100% and 50% of 2), or gabapentin (50% and 50% of 2) respectively. There were 7(5.3%) deaths of which 5(71.4%) were analgesic-related. All 5 of 132 (3.78%) potentially analgesic-related deaths occurred among >60 years of age. Thus, in 106 patients with age >60 years, 5(4.7%) died, and the age-specific death rate was 4,717/100,000 population. The odds of adverse events increased with comorbidity (p=0.02). Pain score was significantly related to adverse events (p=0.007).
Conclusion: Combining acetaminophen with other analgesics did not improve analgesia, but did increase adverse events. The risk of adverse events and mortality were higher with comorbidity and older age.
Key Words: Adverse drug events, Analgesics, Analgesia, Hip fractures.
Rancang Bangun Sistem Otomasi Buka Tutup Pintu Garasi Menggunakan Voice Recognition
Authors: Baco Syarifuddin , Syarifuddin Rizal , Kana M Sahrul , Amatullah K Zulkifli 
Published: February 2025

Kehidupan sehari-hari tidak terlepas dari kegiatan diluar rumah menggunakan transportasi seperti motor dan mobil. Bagi beberapa orang ketika berada di dalam mobil dan di dalam rumah merasa enggan beranjak keluar rumah untuk membuka dan menutup pagar yang dirasa kurang efisiensi waktu dan tenaga Penelitian ini bertujuan merancang dan menguji hasil rancangan sistem otomasi buka tutup pintu garasi menggunakan voice recognition. Metode penelitian yang digunakan adalah metode RND yang terdiri atas analisis sistem, perancangan, implementasi, penelitian dan pengujian. Tahapan awalnya dengan memberikan perintah voice recognition melalui google asisstent buka atau tutup pada Smarphone yang digunakan akan meneruskan perintah dan memberikan respon sehingga menggerakkan Pintu Garasi. Hasil penelitian terbagi dua yaitu perancangan perangkat keras yang menghasilkan connection pada semua komponen alat dan menguji gerak masing-masing komponen atau perangkat yang dibutuhkan pada sistem yang bekerja dengan baik seperti menghubungkan ESP32 dengan ULN2003, stepper ke Pintu Garasi sehingga menjadi satu rangkaian perancangan perangkat lunak pada android serta program dari arduino uno ESP32 yang menggunakan aplikasi arduino IDE (Integrated Development Environment). Dapat disimpulkan bahwa sistem otomasi buka tutup pintu garasi menggunakan voice recognition telah berhasil dirancang dan diimplementasikan dengan baik sehingga dapat memudahkan masyarakat untuk mengefisiensikan waktu dan tenaga.
ANALISIS TINGKAT KENYAMANAN KERJA PADA OPERATOR CENTRAL CONTROL ROOM PLTU BARRU BERBASIS NORDIC BODY MAP YANG ERGONOMIS
Authors: Hanafie Ahmad , Haslindah Andi , Bora M Ansyar , Imran Al 
Published: February 2025

Nordic Body Map (NBMS) adalah alat evaluasi yang digunakan untuk mengidentifikasi dan merekam keluhan muskuloskeletal (otot dan tulang) pada tubuh manusia. Central Control Room merupakan pusat pengendalian operasi dari pembangkit listrik. Aktivitas yang dilakukan oleh operator dalam ruangan ini adalah operator memantau dan mengontrol proses operasional PLTU, seperti suhu, tekanan, aliran bahan dan bakar. Posisi kerja yang tidak ideal akan menyebabkan ketidaknyamanan terhadap operator, hal ini dapat menimbulkan masalah pada tubuh tubuh operator yaitu kesehatan. Penelitian ini dilakukan analisis kenyamanan kerja yang ergonomi pada operator control room dengan metode Nordic Body Map (NBMs). Metode analasis yang digunakan deskripsi variabel tingkat keluhan operator dengan mendeskrisikan variabel tingkat keluhan operator. Analisis statistik deskriptif ini dengan menginterprestasikan nilai rata-rata dari masing-masing indikator dari masing-masing variabel jenis keluhan operator dapat memberikan gambaran mengenai indikator berpengaruh terhadap produktivitas kerja operator. Berdasarkan hasil penelitian terjadinya ketidak nyamanan operator disebabkan pengaruh posisi kerja operator kerja yang ideal, dan tidak optimalnya fasilitas kerja yang digunakan, diperoleh sembilan tingkat keluhan dari 28 jenis yang diteliti, kesembilan jenis keluhan yang mempunyai tingkat keluhan yang tinggi berada antara nilai rata-rata 1.42 – 2.08 dari skala 4, bagian-bagian tersebut yaitu leher bagian atas, leher bagian bawah, punggung, pinggang, pantat, pergelangan tangan kiri, pergelangan tangan kanan, paha kiri, dan paha kanan.
RANCANG BANGUN ALAT PEMBUKA JENDELA OTOMATIS DENGAN MENGGUNAKAN SENSOR CAHAYA
Authors: Baco Syarifuddin , Perdana Ayu Lestari , Huwae Brian , Imran Al 
Published: February 2025

Dalam sebuah bangunan dibutuhkan ventilasi udara yang efisien serta paparan cahaya matahari yang memadai, jendela memainkan peran sentral dalam menciptakan lingkungan yang nyaman di dalam sebuah rumah. yang membuka dan menutup secara manual, namun kegiatan ini sering terlupakan. Tujuan Penelitian merancang dan menguji jendela otomatis menggunakan alat kontrol sensor cahaya yang dapat membantu dalam mempermudah pembuka dan menutup jendela secara otomatis. Metode perancangan yang digunakan adalah R&D (Penelitian dan Pengembangan) sedangkan hasil pengujian menggunakan diagram blok sistem. Hasil penelitian yang di peroleh membantu dalam hal pendeteksi cahaya ketika keadaan cuaca terang ataupun mendung dan jendela akan terbuka atau tertutup secara otomatis sehingga pekerjaan mendasar tidak perlu lagi dilakukan oleh manusia karena adanya teknologi otomatis. Kesimpulan Alat ini merupakan proses kerja dari sensor cahaya LDR (light dependent resistor) dan motor servo yang mendorong dengan putaran 90° sebagai input dan output yang bekerja timbul balik dengan LCD yang menunjukan ketika intensitas berada pada 300 maka jendela secara otomatis akan terbuka dan di bawa intensitas 300 maka jendela akan menutup.
Интеграция математических моделей в систему государственного управления и перспективы их применения
Authors: Полякова М.А. , Головко Е.А. , Кириченко А.О. 
Published: February 2025

Статья посвящена применению математических моделей в государственном управлении. Основной целью исследования является анализ таких методов моделирования, как регрессионный анализ, временные ряды и симуляционные модели. Авторы рассматривают методы машинного обучения, включая нейронные сети и деревья решений, а также использование моделей общего равновесия (CGE models) и имитационных моделей в тестировании сценариев. Отмечена роль таких цифровых инструментов моделирования, как алгоритмы машинного обучения и облачные вычисления в обеспечении точного анализа данных и принятия управленческих решений. Основные выводы включают необходимость усиления подготовки специалистов в области математического моделирования, повышение качества данных и активное внедрение цифровых технологий в государственное управление. Работа демонстрирует подхода, заключающегося в интеграции методов моделирования и определяет значимость данной темы в условиях цифровой трансформации экономики.
The article is devoted to the application of mathematical models in public administration. The main purpose of the study is to analyze modeling methods such as regression analysis, time series and simulation models. The authors consider machine learning methods, including neural networks and decision trees, as well as the use of general equilibrium models (CGE models) and simulation models in scenario testing. The role of digital modeling tools such as machine learning algorithms and cloud computing in ensuring accurate data analysis and management decision-making is highlighted. The main conclusions include the need to strengthen the training of specialists in the field of mathematical modeling, improve data quality and actively introduce digital technologies into public administration. The work demonstrates an approach consisting in the integration of modeling methods and determines the importance of this topic in the context of the digital transformation of the economy.
Elucidating and Confirming the Substrate and Cofactor Binding Site of RetSat and Identifying the Optimal Cofactor for Retinol Saturase – A Computational Insight
Authors: Hewage Virangi Tharika , Jayakody Ranga Srinath , Jayasooriya Anura , Senapathi Tharindu , Govendar Krishna 
Published: February 2025

Retinol saturase (RetSat) is an enzyme that inhibits the conversion of all-trans-retinol to all-trans-retinoic acid (ATRA), which is crucial for protecting cells against malignancy. Despite its significance, no effective inhibitors targeting RetSat currently exist, and limited knowledge about its structure, cofactor, and substrate binding has hindered inhibitor design. In this study, we utilized computational techniques to reconstruct and validate the 3D atomic structure of RetSat, identifying its cofactor and substrate binding sites. NADH was determined to be the optimal cofactor and successfully docked into its binding site, followed by docking of retinol into the substrate-specific site. Analysis of the equilibrated complexes revealed key amino acids involved in cofactor and substrate binding, enabling the identification of potential catalytic residues. This study provides validated insights into RetSat’s structure and interactions, offering a foundation for designing RetSat inhibitors as potential anticancer agents and advancing the understanding of its role in cancer biology, thus paving the way for targeted therapeutic strategies.

Received: 10 June 2024 | Revised: 10 October 2024 | Accepted: 22 January 2025

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
The data that support this work are available upon reasonable request to the corresponding author.

Author Contribution Statement
Virangi Tharika Hewage: Software, Validation, Investigation, Data curation, Writing – original draft, Visualization. Ranga Srinath Jayakody: Conceptualization, Methodology, Validation, Formal analysis, Resources, Data curation, Writing – review & editing, Supervision, Project administration, Funding acquisition. Anura Jayasooriya: Formal analysis, Resources, Data curation, Writing - review & editing, Visualization, Supervision. Tharindu Senapathi: Software, Formal analysis, Resources, Data curation, Writing – review & editing, Visualization, Supervision. Krishna Govendar: Software, Formal analysis, Resources, Data curation, Writing – review & editing, Visualization, Supervision.
Computational and Theoretical Approach to Deciphering Potential PFAS-Induced Toxicity on the Human Estrogen and Sperm Receptors, with Implications on Female Fertility
Authors: Nnabuchi Maryjane Ada , Duru Chidi Edbert 
Published: February 2025

Despite warnings from researchers, the use of per- and polyfluoroalkyl substances (PFAS) in consumer products continues to rise, significantly increasing their presence in the environment and human bodies. The cautionary advice has not yet led to meaningful action and the problem persists. This study utilized computer-based simulations to investigate the potential harmful effects of PFAS on human fertility, specifically their impact on female fertility by binding to the human estrogen and sperm receptors, highlighting a possible toxic mechanism. Molecular docking simulations revealed that perfluorotetradecanoic acid (PFTeDA), perfluorotridecanoic acid (PFTriA), perfluorodecanesulfonic acid (PFDS), and perfluorododecanoic acid (PFDoA) exhibited high binding affinity on both protein targets, with binding affinities comparable to or exceeding those of the native ligand. PFTeDA demonstrated the highest binding affinity among the studied PFAS on both proteins. Molecular dynamics simulations confirmed the stability of PFTeDA binding at both targets, suggesting persistence at these biological sites. Density functional theory analysis revealed that PFDS and PFDoA possess high reactivity, indicating a propensity for interaction with fertility proteins. These findings suggest that these PFAS may pose significant toxicity to female fertility proteins, potentially leading to reproductive issues. Further research is imperative to elucidate the underlying mechanisms and to develop effective countermeasures against the potentially deleterious effects of these PFAS on human reproductive health, thereby informing evidence-based strategies for mitigating this critical threat to human fertility and reproductive well-being.

Received: 11 November 2024 | Revised: 14 January 2025 | Accepted: 11 February 2025

Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.

Data Availability Statement
The data that support this work are available upon reasonable request to the corresponding author.

Author Contribution Statement
Maryjane Ada Nnabuchi: Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft. Chidi Edbert Duru: Conceptualization, Methodology, Software, Resources, Writing – review & editing, Visualization, Supervision, Project administration.
Insulin pretreatment during mid-cycle and programmed breeding on conception ofrepeat breeding crossbred cows
Authors: Jayaganthan Ponnusamy , Satheshkumar Soundarapandian , Krishnakumar Karuppasamy , Murugavel Sokkalingam , Jagadeesan Krishnan 
Published: February 2025

The effect of insulin (Ins) pretreatment during mid-cycle on conception rate of repeat breeding (RB) cows subjected for programmed breeding was studied. A total of 74 RB crossbred cows which were found to be free of SCE were randomly divided into two groups. Group I (Control; n=12): Animals were inseminated on oestrus (Day 0) without any treatment. Group II – (INS; n = 12): RB cows were administered with Biphasic Insulin product (0.25units /kg BW s.c.) for three days from Day 8 to Day 10 of the cycle (Day 0 – oestrus). Prostaglandin (PG) (Cloprostenol: 500 mcg, i.m.) was administered on Day 11. On the day of induced oestrus (Day 0i) i.e., 48 h post PG, all the 12 cows were inseminated with GnRH (n=6) and GnRH + Ins (n=6). Blood samples were collected on Day 0 and 10 in both groups and on the day of induced oestrus (Day 0i) in INS group for Insulin estimation. Ins concentration was significantly (P < 0.05) increased in INS group on Day 10 and Day 0i in response to Ins treatment. In control group, the conception rate among the RB cows was found to be 34.00 per cent. A significantly (P < 0.01) high conception rate (66.67%) was recorded in the INS group among RB cows, when inseminated with or without INS during the induced oestrus, than the Control group. It could be concluded that INS therapy during the mid-cycle prior to PG induced programmed breeding can improve the conception rate in RB cows.
Leere Bierkästen viel wertvoller
Authors: Schultz Olaf 
Published: February 2025

Frankfurt a.M. Das Pfand auf leere Bierkästen ist in der Alpenrepublik schon eine Weile höher als hierzulande. Seit dem Jahresbeginn wurde das Leergut im Nachbarland jedoch nochmals deutlich wertvoller – und das hat Folgen.
Evaluating F10.7 and F30 radio fluxes as long-term solar proxies of energy deposition in the thermosphere
Authors: Qian Liying , Mursula Kalevi 
Published: February 2025

Abstract. We use model simulations and observations to examine how well the F10.7 and F30 solar radio fluxes have represented solar forcing in the thermosphere during the last 60 years of weakening solar activity. We found that increased saturation of radio fluxes during the last two extended solar minima leads to an overestimation of solar energy deposition, which manifests as a change in the linear relation between thermospheric parameters and F10.7. On the other hand, the linear relation between thermospheric parameters and F30 remains nearly the same throughout the whole studied period because of a recently found relative increase of F30 with respect to F10.7. This explains the earlier finding that F30 correlates better with several ionospheric and thermospheric parameters than F10.7 during recent decades. We note that continued evaluation is needed to see how well F10.7 and F30 will serve as solar proxies in the future when solar activity may start increasing toward the next grand maximum.
Sales Rate Prediction for Condominiums in the Bangkok Metropolitan Region Using Deep Learning: Identification of Determinants and Model Validation
Authors: Tochaiwat Kongkoon , Seniwong Patcharida 
Published: February 2025

The sales rate is very important information for condominium design and development processes. However, predicting it accurately requires substantial expertise and experience. This research investigated the use of a Deep Learning model to predict condominium sales rates and explored various determinants that influence sales rates. The research was done by (1) identifying the determinant factors from the literature review, (2) collecting 199 data from market survey reports, (3) creating a Deep Learning model that can predict the sales rate of a condominium by its determinant factors, and (4) verifying the model by checking its coefficient of determination (R2 value). The research results revealed the three-layered network (34 input nodes, 19 hidden layer nodes and one output node) with R2 of 0.703 and RMSE of 0.539, showing the model has enough accuracy for planning purposes. The determinant factors comprise both internal and external factors, which can be divided into six groups: (1) Price-related factors, (2) Entrepreneur-related factors, (3) Room-related factors, (4) Project structure-related factors, (5) Common-area-related factors, and (6) Location-related factors. By understanding the influence of this set of data on project sales rate, the project stakeholders can efficiently contribute to the project’s success. In addition, the results showed the high accuracy of the Deep Learning model even in the case of a limited amount of data.
Аспектація теруару у бухгалтерському обліку виноробних підприємств
Authors: Марчук У. О. 
Published: February 2025

Виноробна галузь є важливою складовою агропромислового комплексу та культурною спадщиною суспільства, проте її розвиток зазнає суттєвих викликів під впливом глобальних викликів визваних пандемією COVID-19, військовими діями в Україні та змінами у законодавчому регулюванні. Актуальність дослідження зумовлена необхідністю удосконалення обліково-контрольних інструментів у галузі виноробства для підвищення конкурентоспроможності українського вина та забезпечення стійкості виноробних підприємств в умовах невизначеності. Метою дослідження є оцінка впливу соціально-економічних та екологічних факторів на облік і контроль виробництва виноробної продукції, а також формування методичних підходів до врахування теруарних особливостей у забезпечені достовірності інформаційних потоків для формування фінансовій звітності виноробних підприємств. Дослідження базується на міждисциплінарному підході, що поєднує економічний, бухгалтерський та екологічний аспекти виноробної діяльності. Використано методи порівняльного аналізу, статистичної оцінки, нормативно-правового аналізу, а також холістичний підхід до обліку та контролю. Узагальнено аспектацію в забезпеченні концептуальної основи виноробства. Запропоновано організацію та формування облікової політики у виноробстві, що враховує вплив теруару при визначенні собівартісті продукції та її вплив на фінансові результати діяльності виноробних підприємств. Доведено необхідність адаптації облікових стандартів до специфіки галузі з урахуванням нових положень Закону України «Про виноград та продукти виноградарства». Теоретичне значення полягає у розробці методичних підходів до формування собівартості виноробної продукції. Практичне значення дослідження – у забезпеченні дієвості контрольної функції обліку, що сприяє підвищенню конкурентоспроможності та формуванню фінансових результатів діяльності виноробних підприємств. Наукова новизна полягає у аспектації в забезпеченні концептуальної основи виноробства та поєднанні теруарного впливу на особливості організації та методику облікового відображення, що сприяє забезпеченню достовірності інформаційних потоків щодо витрат виробництва українського вина та формування його якісних характеристик, які формують фінансові показники діяльності виноробних підприємств. Подальші дослідження можуть зосередитися на розробці цифровізації облікового відображення з врахованням регіональних особливостей виноробства. Тип статті – теоретична.
OMIXTA YEM MAHSULOTLARINI TIF TN BO‘YICHA SINFLASH MUAMMOLARI
Authors: Djamolov Kamronbek Shuxratbek o‘g‘li , Asqarov Ibrohimjon Rahmonovich , Yo’lchiev Aslbek Baxtiyorbekovich 
Published: February 2025

Ushbu maqolada, omixta yem namunalarini TIF TN bo‘yicha sinflash muammolari keltirilgan bo‘lib, unda bir qancha masalalar o‘z yechimini topganligini ko‘rishimiz mumkin. Maqolada bro’yler jo‘jalarni boqish uchun mo‘ljallangan retseptura keltirilgan