bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pelatihan Pembuatan LKPD Elektronik Berbasis Kompetensi Siswa Dan Lingkungan Sekolah Kepada Guru Biologi SMA/Sederajat
Authors: Amintarti Sri , Zaini Muhammad , Ajizah Aulia , Nurtamara Luthfiana 
Published: March 2024

Pengajaran paradigma baru yang dicanangkan oleh pemerintah pada kurikulum merdeka di SMA merujuk pada pembelajaran yang disesuaikan dengan kemampuan siswa dan budaya daerah setempat dengan model Teaching at Right Level dan Culturally Responsive Teaching. Salah satu perangkat pembelajaran yang disesuaikan dengan model tersebut adalah lembar kerja peserta didik (LKPD). Ketrampilan penyusunan lembar kerja peserta didik (LKPD) harus dimiliki oleh para guru yang akan melaksanakan pengajaran di Sekolah., khususnya LKPD elektronik yang mudah digunakan dan efektif dalam meningkatkan ketrampilan berpikir kritis siswa. Tujuan kegiatan pengabdian kepada Masyarakat ini untuk membangun ketrampilan guru Biologi SMA/sederajat dalam penyusunan LKPD elektronik. Metode yang digunakan: 1) Penyampaian materi tentang LKPD dan pembuatan LKPD elektronik; 2) Praktek pembuatan LKPD elektronik. Hasil kegiatan berupa: 1) Peningkatan keterampilan guru Biologi dalam membuat LKPD elektronik; 2) Peningkatan keterampilan guru dalam merancang LKPD berbasis kemampuan siswa, lingkungan sekolah, keterampilan berpikir kritis siswa serta permaslahan yang ada di sekitar siswa; dan 3) Respon peserta kegiatan setelah mengikuti pelatihan 100% menyatakan bahwa mereka memerlukan pelatihan pembuatan LKPD elektronik ini, dan 100% guru menyatakan termotivasi untuk membuat LKPD elektronik sendiri karena selain membuatnya tidah sulit, LKPD elektronik diyakini dapat memotivasi serta memudahkan siswa dalam belajar. LKPD elektronik yang dilatihkan diharapkan diimplementasikan pada pelaksanaan kurikulum Merdeka karena telah menerapkan pembelajaran berdiferensiasi dan menerapkan ketrampilan berpikir kritis abad 21 serta berbasis IT. Setelah kegiatan, peserta mampu membuat LKPD interaktif dengan bantuan aplikasi Live Worksheet walaupun sebelumnya 100% peserta pelatihan belum pernah menggunakan dan membuat LKPD digital dan secara interaktif dengan aplikasi Live worksheet.
Optimalisasi Pengelolaan Eceng Gondok Sebagai Inisiatif Pembangunan Berkelanjutan
Authors: Atqiya Muhammad Hudatil , Sholihah Aulia Wakhidatus , Sari Mefti Misna , Amellia Rika Della , Susiana Mei 
Published: March 2024

<em><span lang="IN">Dalam pengelolaan eceng gondok terdapat kebermanfaatan untuk pembangunan bagi masyarakat, pemanfaatan tersebut dapat dilihat dari segi ekonomi dan lingkungan. Eceng gondok bagi masyarakat yang tidak mengetahui potensi atau peluang yang bisa didapat dari tumbuhan liar ini tentunya akan menganggap bahwa eceng gondok hanyalah tanaman perusak yang tidak memiliki kelebihan. Faktanya tumbuhan liar ini memiliki kelebihan dari segi lingkungan dan ekonomi yang tentunya dapat dimanfaatkan masyarakat. Dengan adanya pengelolaan eceng gondok bagi pembangunan berkelanjutan bertujuan memberikan informasi atau edukasi sekaligus pembelajaran bagi masyarakat yang belum mengetahui potensi dan peluang dari tumbuhan liar eceng gondok ini. Metode yang didapat dari memperoleh informasi mengenai pengelolaan eceng gondok didapat dari proses observasi dan wawancara oleh pemilik usaha kerajinan eceng gondok sendiri. Dengan melalui observasi dan wawancara mampu memberikan informasi yang pastinya tidak sedikit, peluang eceng gondok dari segi lingkungan sendiri tentunya apabila tumbuhan liar yang hidup di rawa-rawa atau area persawahan ini terus menerus diambil dan dijual oleh petani eceng gondok setidaknya dapat berkurang juga memperlancar dan tidak menghambat aliran area persawahan. Jika dilihat dari segi ekonomi tanaman liar ini dapat disulap menjadi suatu kerajinan dengan harga jual yang tinggi dan tentunya banyak masyarakat yang tertarik dengan hasil kerajinan eceng gondok.</span></em>
Comparison of Surface-Enhanced Raman Scattering in Colloidal Silver Nanostar ‎and Colloidal Silver Nanocubes
Authors: Shakir Zinah Salahuddin , Yaseen Sameer Khudhur , Dhaigham Ayad Abdul Razzak 
Published: March 2024

يعد تشتت رامان المحسن بالسطح (SERS) طريقة سريعة الاستجابة وانتقائية للغاية تعمل على تحسين إشارات تشتت رامان للجزيئات التي تستخدم المواد النانوية كركائز. يتيح SERS تحديد مادة بتراكيز منخفضة جدًا عن طريق تضخيم المجال الكهربائي أو التحسين الكيميائي بسبب سطح Plasmon (LSP) الموضعي. في هذا العمل ، تم فحص التراكيز المنخفضة من كبريتات الصوديوم (Na2SO4) كمواد ملوثة للمياه باستخدام SERS السائل على أساس البنى النانوية الغروية للفضة . تم تحضير نوعين من الهياكل النانوية للفضة: نجمية ومكعبة الشكل، واستخدامها كركائز SERS سائلة . تم استخدام طريقة الاختزال الكيميائي لتركيب الهياكل النانوية Ag من أيونات الفضة باستخدام عوامل الاختزال. تم استخدام مجهر القوة الذرية (AFM) والمجهر الماسح الإلكتروني (SEM) لتوصيف الفضة النانوية. تم الإبلاغ عن إجراءات SERS لهذه الجسيمات النانوية في الكشف عن كبريتات الصوديوم (Na2SO4) وتحليلها فيما يتعلق بكل من الشكل والحجم باستخدام ليزر 532 نانومتر. لاحظنا أن بنية الجسيمات النانوية ذات الزوايا الأكثر عددا والاكثر حدة أعطت إشارات SERS أقوى. ترتبط الزيادة في إشارة SERS بـ LSP ، والتي تنتج عن ترسب جزيئات كبريتات الصوديوم في النقاط الساخنة (المسافات بين الهياكل النانوية للفضة المتجمعة) في المحلول. لوحظ زيادة قمم رامان مع زيادة تركيز الكبريتات. يوفر هيكل الفضة النانوي النجمي المقترح نشاط SERS أقوى من الهيكل النانوي المكعب. هذا يعني أن SERS مع الهياكل النانوية النجمية أكثر كفاءة منها في الهياكل المكعبة النانوية. أيضًا ، يلعب تركيز الكبريتات دورًا رئيسًا في الكشف حيث تصبح إشارة رامان أقوى مع زيادة التركيز. كان أعلى معامل تعزيز تحليلي للكبريتات تم الحصول عليه لـ SERS في محلول الفضة النانوي النجمي الغروي 2.6 × 103 عند 7 × 10-7 م بأقل تركيز ، وكان 1.7 × 103 عند 7 × 10-7 م أقل تركيز لـ SERS في محلول الفضة النانوي المكعب الغروي.
Impact of Healthcare Accessibility on Suicide Rates in the European Union: A Cross-Sectional Correlation Study
Authors: Máčel Martin , Opelka Jakub , Němcová Hana , Labajová Alexa 
Published: March 2024

Abstract
Introduction.
This study aimed to explore the relationship between the accessibility of healthcare, its financing by the state and the suicide rate in the states of the European Union. We strive to identify which part of the healthcare system, or the interplay between them, is critical to suicide prevention.
Methods.
We used freely available data from Eurostat and identified factors that best indicate the availability and funding of health care. We used hierarchical linear regression to predict suicide rates in the EU. We included data from 2011 to 2019, the latest fully published.
Results.
Our model demonstrated exceptional explanatory power, accounting for 24.8 % of the suicide rate variance within EU states. A significant protective effect was found between the number of psychiatrists (β = -.36), the percentage of inhabitants self-reporting fully met medical examination needs (β = -.15) and the suicide rate. Contrary to our expectation, the number of GPs (β = .37) and beds in psychiatry hospitals (β = .43) had a positive effect on the suicide rate.
Conclusions.
While our study is exploratory it might serve as a basis for policies aiming to lower suicide rates in European countries by enhancing access to and funding of healthcare.
Enhancing Patient Comfort and Safety in Emergency Medical Transportation: A Comparative Study of Powered vs. Manual Stretchers
Authors: Toyama Gen , Takei Yutaka 
Published: March 2024

Abstract
Introduction: To assess the impact of powered stretchers in comparison to manual stretchers on both patient comfort and psychological benefits.
Methods: A simulation study with 41 participants compared powered and manual stretchers. Sensors on participants collected X, Y, and Z-axis acceleration data during simulated patient movements. Participants experienced lifting/lowering and loading/unloading. Post-experiment surveys used a 7-point scale to rate comfort during stretcher movements.
Results: The powered stretcher outperformed the manual stretcher in most lifting/lowering and loading/unloading movements, showing significantly lower RMS values, maximum accelerations, and minimum acceleration on each axis. In the Z-axis (vertical direction) acceleration, the powered stretcher demonstrated lower RMS (0.29 m/s² vs. 0.73 m/s², p < 0.001), maximum acceleration (1.60 m/s² vs. 2.90 m/s², p < 0.001), and minimum acceleration (-1.48 m/s² vs. -3.30 m/s², p < 0.001) compared to the manual stretcher. Similar results were observed in the comparison of participant loading/unloading movements, where the powered stretcher exhibited superiority in RMS values, maximum accelerations, and minimum acceleration on each axis. In the Z-axis acceleration, the powered stretcher showed lower RMS (0.32 m/s² vs. 0.89 m/s², p < 0.001), maximum acceleration (2.07 m/s² vs. 3.38 m/s², p < 0.001), and minimum acceleration (-2.34 m/s² vs. -3.72 m/s², p < 0.001) compared to the manual stretcher. Additionally, the powered stretcher significantly improved comfort questionnaire scores compared to the manual stretcher, indicating its potential to alleviate psychological discomfort and anxiety in participants.
Conclusion: Powered stretchers demonstrate significant advantages in reducing patient discomfort and vibrations compared to manual stretchers.
Infrared drying of persimmon: Impact of drying parameters on drying time and product characteristics
Authors: Debaklou Hasan Jamal , Movagharnejad Kamyar , Jafari Fatemeh 
Published: March 2024

Abstract

The impact of infrared drying parameters on drying time and qualitative characteristics of persimmon was investigated using varied sample thickness (3, 5, and 7 mm), air velocity (0.5, 1.25, and 2 ms-1), and infrared power level (1000, 1500, and 2000 W). The box-Behnken design of the response surface methodology was employed to develop drying tests that demonstrate the connection between input and output variables. The outcomes revealed that the drying time was reduced by reducing sample thickness and air velocity and raising the infrared power level. The total phenolic content, antioxidant activity (IC50), and phosphorus content all dropped, yet the potassium level rose after the drying. In addition, all responses, along with high R2 values, demonstrated a quadratic model. Accordingly, 7 mm sample thickness, 1.29 ms-1 air velocity, and 2000 W infrared power level were the results of the drying parameters being optimized for the specific restrictions. The experimental test results at such optimal setting were determined to be 265.12 min (drying time), 174.75 mg GAE/100 g dm (total phenolic content), 190.3 micro gram per liter (antioxidant activity (IC50)), 852.89 mg/100 g dm (potassium content), 156.58 mg/100 g dm (phosphorus content), and 16.44 total color difference with desirability factor of 0.882.
Endogenous TDP-43 mislocalization in a novel knock-in mouse model reveals DNA repair impairment, inflammation, and neuronal senescence
Authors: Mitra Joy , Dharmalingam Prakash , Kodavati Manohar M. , Guerrero Erika N. , Rao K. S. , Garruto Ralph , Hegde Muralidhar L 
Published: March 2024

Abstract

TDP-43 mislocalization and aggregation are key pathological features of motor neuron diseases (MND) including amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). However, transgenic hTDP-43 WT or ∆NLS-overexpression animal models mainly capture late-stages TDP-43 proteinopathy, and do not provide a complete understanding of early motor neuron-specific pathology during pre-symptomatic phases. We have now addressed this shortcoming by generating a new endogenous knock-in (KI) mouse model using a combination of CRISPR/Cas9 and FLEX Cre-switch strategy for the conditional expression of a mislocalized Tdp-43∆NLS variant of mouse Tdp-43. This variant is either expressed conditionally in whole mice or specifically in the motor neurons. The mice exhibit loss of nuclear Tdp-43 concomitant with its cytosolic accumulation and aggregation in targeted cells, leading to increased DNA double-strand breaks (DSBs), signs of inflammation and DNA damage-associated cellular senescence. Notably, unlike WT Tdp43 which functionally interacts with Xrcc4 and DNA Ligase 4, the key DSB repair proteins in the non-homologous end-joining (NHEJ) pathway, the Tdp-43∆NLS mutant sequesters them into cytosolic aggregates, exacerbating neuronal damage in mice brain. The mutant mice also exhibit myogenic degeneration in limb muscles and distinct motor deficits, consistent with the characteristics of MND. Our findings reveal progressive degenerative mechanisms in motor neurons expressing endogenous Tdp-43∆NLS mutant, independent of TDP-43 overexpression or other confounding etiological factors. Thus, this unique Tdp-43 KI mouse model, which displays key molecular and phenotypic features of Tdp-43 proteinopathy, offers a significant opportunity to further characterize the early-stage progression of MND and also opens avenues for developing DNA repair-targeted approaches for treating TDP-43 pathology-linked neurodegenerative diseases.
Evaluation of the accuracy of conventional and digital implant impression techniques in bilateral distal extension cases.A randomized clinical trial
Authors: Elashry Wafaa Youssef , Elsheikh Mohamed Maamoun , Elsheikh Ali mohamed 
Published: March 2024

Abstract
Background
This clinical study aims to evaluate the accuracy of the conventional implant impression techniques compared to the digital impression ones in bilateral distal extension cases.
Methods
A total of 32 implants were placed in eight patients missing all mandibular posterior teeth except the first premolars. Each patient received a total of four implants, with two implants placed on each side, in order to provide support for three units of screw-retained zirconia restorations. Following osteointegration, the same patient underwent two implant-level impression techniques: Conventional open-tray impressions CII (splinted pick-up) and digital implant impressions DII with TRIOS 3 Shape intraoral scanner. The accuracy of impressions was evaluated utilizing a three-dimensional superimposition analysis of standard tessellation language (STL) files. Subsequently, the scan bodies were segmented using Gom inspect software to measure three-dimensional deviations in a color-coding map. Data were statistically analyzed using the Kruskal Wallis test and then a post-hoc test to determine the significance level (P < 0.05).
Results
The study revealed that higher angular and positional deviations were shown toward distal scan bodies compared to mesial ones for both impression techniques. However, this difference was not statistically significant (P > 0.05).
Conclusion
Splinted open-tray conventional impression and intraoral scanning implant impression techniques have demonstrated comparable accuracy.
Trial registration
Clinical Trials.gov Registration: ID: NCT05912725.
Heptafluoroisopropyl methyl ether as a low global warming potential alternative for plasma etching of SiC
Authors: You Sanghyun , Sun Eun Jae , Hwang Yujeong , Kim Chang-Koo 
Published: March 2024

Abstract
Heptafluoroisopropyl methyl ether (HFE-347mmy) was used for SiC etching to evaluate low-GWP (global warming potential) hydrofluoroether as an alternative to SF6. SiC was etched in the HFE-347mmy/O2/Ar and SF6/O2/Ar plasmas, and the etching characteristics were compared at various bias voltages. The etch rates of SiC in the HFE-347mmy/O2/Ar plasma were higher than those in the SF6/O2/Ar plasma at low bias voltages (lower than −500 V), whereas those in the SF6/O2/Ar plasma were higher than those in the HFE-347mmy/O2/Ar plasma at high bias voltages (higher than −600 V). The relative amounts of F and O radicals in both plasmas imply that F is a major contributor to SiC etching at low bias voltages (lower than −500 V), whereas O is a major contributor at high bias voltages (higher than −600 V) in the HFE-347mmy/O2/Ar and SF6/O2/Ar plasmas. AFM measurements showed that the SiC etched in the HFE-347mmy/O2/Ar plasma exhibited smoother surfaces than that etched in the SF6/O2/Ar plasma.
Cognitive Enhancers Consumption: Prevalence, Knowledge, and Determinants of use among medical students in Egypt, Sudan, and Jordan. A multicentric cross-sectional study
Authors: Hawas Yousef , Ayoub Motasem , Esmail Esraa , Elsakka Mona Mahmoud , Antonios Marina , Azeez Andrew , Gahlan Shereen , Hamadein Fatima , Alabdallat Yasmeen Jamal , group MRGE 
Published: March 2024

Abstract
Background: Cognitive Enhancers (CE) are central nervous system stimulant medications. These substances are known to improve cognitive functions. Due to high-perceived stress and academic pressure, CEs are becoming increasingly popular among university students, especially medical students. As a result, they are more likely to misuse these substances. Existing data in this area is limited, particularly in Egypt, Sudan, and Jordan.
Objectives: This study aims to estimate the prevalence of CE consumption, compare the prevalence between countries and genders, and identify characteristics associated with CE consumption among students at medical schools in Egypt, Sudan, and Jordan.
Methods: A population-based survey study was conducted among medical students from Egypt, Sudan, and Jordan. An online self-reported questionnaire was used to collect data. Frequencies and percentages were calculated to represent participant distribution across categories. Chi-square was used for categorical variables comparisons. All tests were two-tailed, considering p < 0.05 statistically significant. Demographic characteristics, reasons for use, types of CE used, frequency, and irregularity of sleep were compared by country and gender.
Results: The questionnaire was filled out by 1399 medical students, most of whom were females 824 (58.9%). Overall, 1236 (88.3%) were CE consumers, and 163 (11.7%) were non-consumers. Of the respondents who used CE, 814 (58.2%) reported using them daily. There was a statistically significant difference between the consumption of CE and the source of acquisition, Nationality, and residence status in terms of gender. Ginkgo Biloba was more consumed by males(P<0.001), while Omega 3 and vitamin B12 (P=0.023) were typically taken by females. Most consumers were in their second year and fourth year. The most reported Side effects were headache and anxiety (P<0.001).
Conclusion: The findings of this study suggest that CE use is increasing among medical students in Egypt, Sudan, and Jordan. Efficient support, stress management programs, and awareness symposia may help reduce the misuse of these substances.
Cascading socio-economic and financial impacts of the Russia-Ukraine conflict
Authors: Auer Cornelia , Bosello Francesco , Bressan Giacomo , Delpiazzo Elisa , Monasterolo Irene , Parrado Ramiro , Reyer Christopher , Otto Christian 
Published: March 2024

Abstract
Disruptions in global food and energy trade can trigger cascading socio-economic
losses. Financial markets can amplify such losses and generate systemic cross-
sectoral effects, e.g. on food insecurity. Our novel methodology links the real
economy and financial markets to quantify such cascading losses and to capture
amplification effects by financial markets. We study the Russia-Ukraine conflict
and find large, regionally and sectorally heterogeneous cascading impacts. Com-
paring with real data confirms that our approach captures several key impacts of
the crisis: the energy price increase in Europe, the strong reaction of European
commodity future markets with large benefits for fossil companies (equity values
up to +54%) and losses for companies most exposed to the belligerents (up to
-6%), and the worsening of food affordability especially in Sub-Saharan Africa,
Asia, and Latin America (additionally 10 million people at risk of hunger). Our
analysis shows the importance of accounting for cascading risks and amplification
effects to strengthen economic, financial, and food system resilience.
Efficient modelling of ionic and electronic interactions by resistive memory-based reservoir graph neural network
Authors: Wang Zhongrui , Xu Meng , Wang Shaocong , He Yangu , Li Yi , Zhang Woyu , Yang Ming , Qi Xiaojuan , Xu Ming , Shang Dashan , Liu Qi , Miao Xiangshui , Liu Ming 
Published: March 2024

Abstract
Current quantum chemistry and material science are dominated by first-principles methodologies (e.g., density function theory, DFT) running on digital computing platforms, which are widely used for modelling electronic and ionic interactions. However, this computational paradigm faces significant challenges as the system scales up, due to the computational complexity of DFT alongside the energy efficiency limit due to the von Neumann bottleneck and slowdown of Moore’s law in digital computers. To address these obstacles, we propose a software-hardware co-design: the resistive memory-based reservoir graph neural network (RGNN) for modelling systems with ionic and electronic interactions. Software-wise, RGNN eliminates the need for tedious self-consistent field calculation of DFT, significantly reducing computational complexity. In addition, RGNN features small training complexity thanks to reservoir computing. Hardware-wise, resistive in-memory computing collocates data storage and processing, improving energy efficiency associated with data shuttling. Moreover, stochasticity of resistive memory is leveraged to implement random weights of the reservoir. This co-designed system has been experimentally validated on a 40 nm 256 K in-memory computing macro and evaluated in computational tasks such as atomic forces, Hamiltonian, and ground-state many-body wavefunction, demonstrating comparable accuracy and computational complexity reduction of approximately 104, 106 and 102 times compared to DFT. Furthermore, our co-design achieves approximately 90.9%, 93.5%, 95.7% reductions in training costs compared to traditional GNNs, and approximately 72.1%, 64.7% and 82.5% improvements in energy efficiency relative to state-of-the-art digital hardware. Our co-design sets the stage for future large-scale, efficient, and affordable material system design.
Revealing the Power of Port’s Bi-directional Hinterland: A Hybrid Container Throughput Forecasting Approach
Authors: Zeng Fangli , Xu Shuojiang 
Published: March 2024

Abstract

Accurate forecasting of port container throughput plays a crucial role in optimising port operations, resource allocation, supply chain management, etc. However, existing studies only focus on the impact of port hinterland economic development on container throughput, ignoring the impact of port foreland. This study proposed a container throughput forecasting model based on deep learning, which considers the impact of port hinterland and foreland on container throughput. Real-world experimental results showed that the proposed model with multiple data sources outperformed other forecasting methods, achieving significantly higher accuracy. The implications of this study are significant for port authorities, logistics companies, and policymakers.