bluuebunny/crossref_metadata_2025_split huggingface dataset:
The response predictive and prognostic values of systemic inflammation response index in patients with advanced lung adenocarcinoma
Authors: Zuo Ran , Zhu Fuyi , Zhang Cuicui , Ma Jincheng , Chen Jinliang , Yue Ping , Cui Jinfang , Wang Yu , Chen Peng 
Published: January 2023

Abstract
Purpose: This study aimed to assess the response predictive and prognostic values of different peripheral blood cell biomarkers in patients receiving first-line therapy for advanced lung adenocarcinoma (LUAD).
Methods: Patients diagnosed with advanced LUAD as well as healthy controls and patients with benign pulmonary diseases were collected in this retrospective study. Survival curves were estimated using the Kaplan-Meier method, and the Cox proportional hazard model was used to assess the prognostic factors.
Results: Compared with control groups, the level of peripheral blood leucocyte, neutrophil, monocyte, platele, and neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio (PLR), systemic inflammation response index (SIRI) were higher in LUAD patients (all p＜0.001). Partial inflammatory markers decreased at the time of optimal response and then increased again as the disease progressed. Multivariate analysis revealed that gene mutation status (p=0.001)，treatment options (p=0.003), optimal response (p＜0.001), mode of disease progression (p=0.003), systemic inflammation response index (SIRI) (p=0.001), and LDH (p=0.016)were independent prognostic factors. The area under the curve of SIRI and LDH to distinguish prognosis of LUAD patients was 0.625( p＜0.001) and 0.596( p=0.008). When SIRI and LDH were combined, it increased to 0.649 ( p＜0.001).
Conclusions: Pretreatment SIRI was a prognostic factor of PFS in advanced LUAD patients. Dynamic monitoring of changes in inflammatory index could help predict therapeutic efficacy. The combination of SIRI and LDH present its capability to be a clinically accessible biomarker for predicting LUAD patients’ prognosis.
A new analytical strategy based on a wavelet computing technique for solving Fokker-Plank equation arises in stochastic phenomena
Authors: Rajaraman R , Hariharan G 
Published: January 2023

Abstract

A relatively recent method called the Hermite Wavelet Method (HWM) is used to design a simple strategy for solving the Fokker-Planck equation (FPE) for a given pair of drift and diffusion functions in stochastic phenomena. The Fokker-Plank equation is analyzed for Morse, Hulthen and logarithmic potentials. The joint and marginal probability density functions of FPE are obtained. The strategy is efficient to apply to many linear and nonlinear problems and can significantly reduce computing labour. To demonstrate the applicability and effectiveness of the approach and to obtain the probability distribution functions of FPE, illustrative examples are provided.
Mathematical subject classification: 35K20
Usaha guru dalam meningkatkan belajar Bahasa arab di pondok pesantren Mujahidin Samarinda
Authors: Mustamin Mustamin , Syarifaturrahmatullah Syarifaturrahmatullah , Masitah Masitah 
Published: January 2023

Bahasa Arab termasuk pada mata pelajaran yang terdapat dalam kurikulum pendidikan. Walaupun mata pelajaran bahasa Arab terdapat di dalam kurikulum pendidikan tetapi masih banyak siswa yang kurang berminat pada mata pelajaran bahasa Arab. Oleh karena itu, perlu adanya upaya serius untuk mengidentifikasi berbagai faktor yang menjadi penyebab rendahnya minat siswa dalam belajar bahasa Arab. Maka dari itu, peneliti pada skripsi ini akan membahas tentang Upaya Guru dalam Meningkatkan Minat Belajar Bahasa Arab kelas VIII MTs. Al-Mujahidin Samarinda. Adapun tujuan dari penelitian ini adalah: 1) untuk mengetahui bagaimana upaya guru dalam meningkatkan minat belajar bahasa Arab siswa kelas VIII di MTs. Al-Mujahidin Samarinda. 2) untuk mengetahui bagaimana gambaran minat belajar bahasa Arab siswa kelas VIII di MTs. Al-Mujahidin Samarinda. 3) untuk mengetahui kendala yang dihadapi guru dalam meningkatkan minat belajar bahasa Arab siswa kelas VIII di MTs. Al-Mujahidin Samarinda. Peneliti menggunakan jenis penelitian kualitatif dalam penelitian ini dengan metode deskriptif yaitu studi lapangan. Dan teknik pengumpulan data dalam penelitian ini yaitu: Observasi, wawancara, dan dokumen tertulis.Dan hasil dari penelitian yang telah di dapat oleh peneliti adalah beberapa upaya guru dalam meningkatkan minat belajar siswa kelas VIII MTs. Al-Mujahidin Samarinda yakni : 1) menyajikan materi-materi pembelajaran bahasa Arab yang relevan dengan kehidupan peserta didik. 2) memberikan tanggung jawab kepada peserta didik yang memiliki minat belajar bahasa Arab yang tinggi untuk melakukan pendampingan-pendampingan kepada peserta didik yang memiliki minat belajar bahasa Arab yang rendah. 3) membangun komunikasi yang santai dengan peserta didik baik di dalam kelas ataupun di luar kelas. 4) mengelola kegiatan pembelajaran bahasa Arab dengan metode pembelajaran yang menyenangkan. 5) meningkatkan minat belajar bahasa Arab siswa dengan memberikan teladan menggunakan bahasa Arab melalui berbagai ungkapan populer. 6) persiapan mengajar seperti adanya RPP, media dan sumber materi pembelajaran yang relevan dengan materi yang disampaikan.
Numerical calculation of sediment transport capacity of land flow on slopes: method investigation and improvement
Authors: Li Yan , Yuan Weijun , Zhang Kuandi , Li ZiYan 
Published: January 2023

Abstract
To determine the response between the onshore sediment transport capacity (Tc) and various hydraulic parameters, a variable-slope, fixed-bed flume experiment was conducted to investigate Tc for five slopes and six flow rates by comparing five levels of sediment, and a total of 150 experiments were conducted. The results show that among the response relationships between each hydraulic parameter and Tc, the relationships between flow power, unit flow power, and average flow velocity and Tc is significant. In predicting Tc under different soil conditions, the shear stress produced divergence, which should be further explored. The reliability of using slope and flow rate as a single parameter to predict Tc is questionable. As a kinetic index, flow power can be used to predict Tc. The average flow velocity and unit flow power can predict Tc well and are closely related to the soil used in the experiments. The shear stress of water flow can express the evolution of Tc, which is mainly influenced by the median particle size of sediment particles in predicting Tc. The results of the study provide a new method for establishing a prediction model for soil erosion in the loess hilly gully area.
Water commons as a socioenvironmental project for the 21st century in Chile
Authors: Torres-Salinas Robinson , Alvez Marin Amaya 
Published: January 2023

Abstract
We describe how the water commons agenda has been mobilized by different social groups of Chilean society, including water social movements and indigenous people, and the way it was included in the constitutional debate (2021–2022). Although the draft for the new Constitution was rejected in September 2022, we argue that the water commons agenda is still being mobilized as a socioenvironmental project for the 21st century. Simply put, the water commons agenda does not disappear with the defeat of the proposed new Constitution. It continues to challenge the neoliberalization of nature and water imposed during the Pinochet dictatorship, proposing to create new ways to sustain the territories of life.
Decision-making for the hazard ranking of water distribution networks using the TOPSIS method
Authors: Park HaeKeum , Kim KiBum , Hyung JinSeok , Kim TaeHyeon , Koo JaYong 
Published: January 2023

Abstract
Owing to the consecutive occurrence of water quality incidents, such as the black and red water situation in Incheon, Mullae (Seoul), and Pohang, as well as the tap water larval events in Incheon and Jeju in 2020, South Korea's Ministry of Environment announced the new addition of Article 12-2 of the Enforcement Decree of the Water Supply and Waterworks Installation Act 2021. Additionally, the importance of intensive management for vulnerable areas where water quality incidents and complaints may occur repeatedly was specified. Therefore, this study suggests the hazard ranking of district-metered areas in the study area using the deterioration of the water distribution network, complaints (water quality, leakage), and modeling results (water pressure, residual chlorine concentration) to support the establishment of a reasonable water distribution network maintenance plan. The effective and sustainable maintenance of the water distribution network is possible if the hazard ranking is regularly determined using the suggested methodology proposed herein and the water distribution network intensive management area is managed.
Research on leakage area detection method in water distribution network based on gray wolf optimization
Authors: Fang QianSheng , Chen Jie , Xie ChenLei 
Published: January 2023

Abstract
Leakage in a water distribution network (WDN) leads to a large amount of water loss and water pipe pollution and affects residents’ domestic water supply. Therefore, network leakage detection significantly saves water resources. The traditional model approach has ample search space in solving large distribution network applications, a challenging and complex leakage detection process and a low detection accuracy. For the above problems, this study proposes a new method of leakage area detection based on gray wolf optimization (GWO). First, the extensive WDN is divided into several virtual areas. Then, the leakage is simulated by the additional water demand of nodes, and the node demand of the distribution network is calibrated based on the GWO algorithm. Finally, the leakage area is identified, and the size of the leakage in that area is estimated. The method was experimented on in two cases, simulating single-point leakage and multi-point simultaneous leakage, respectively. The results show that the method estimates the size of leakage in the corresponding area based on accurate identification of leakage areas, and the detection error of leakage is within 17.14%. The method provides water workers with guidance on leak detection, significantly reducing staff time to repair pipes.
Comparing machine-learning-based black box techniques and white box models to predict rainfall-runoff in a northern area of Iraq, the Little Khabur River
Authors: Sayed Biju Theruvil , Al-Mohair Hani Kaid , Alkhayyat Ahmed , Ramírez-Coronel Andrés Alexis , Elsahabi Mohamed 
Published: January 2023

AbstractThe rainfall-runoff process is one of the most complex hydrological phenomena. Estimating runoff in the basin is one of the main conditions for planning and optimal use of rainfall. Using machine learning models in various sciences to investigate phenomena for which statistical information is available is a helpful tool. This study investigates and compares the abilities of HEC-HMS and TOPMODEL as white box models and adaptive neural fuzzy inference system (ANFIS) and gene expression programming (GEP) as black box models in rainfall-runoff simulation using 5-year statistical data. Using the inputs of rainfall and temperature of the previous day and discharge in the steps of the previous 2 days reduced the prediction error of both models. Examining the role of different parameters in improving the accuracy of simulations showed that the temperature as an effective parameter in cold months reduces the amount of prediction error. A comparison of R2, RMSE, and MBE showed that black box models are more effective forecasting tools. Among the black box models, the ANFIS model with R2 = 0.82 has performed better than the GEP model with R2 = 0.76. For white box models, the HEC-HMS and TOPMODEL had R2 equal to 0.3 and 0.25, respectively.
Study on the ozonation degradation of methylene blue enhanced by microchannel and ultrasound
Authors: Liu Huiyang , Yu Jianfeng , Liu Xiangyu 
Published: January 2023

Abstract
Azo dye-containing wastewater poses serious risks of environmental pollution because it is generally biologically toxic and resistant to conventional wastewater treatment methods. A novel degradation system integrating ozone, microchannel, and ultrasound was designed to effectively degrade azo dye-contaminated wastewater. The effects of discharge voltage of dielectric barrier discharge (DBD) reactor, liquid flow rate, microchannel width, ultrasonic power, initial pH, and reaction temperature on methylene blue (MB) decolorization were studied. A maximum MB decolorization efficiency of 92.7% was obtained in the ozone/microchannel/ultrasound (O3/MC/US) system with 14 min of treatment. In addition, the 14-min decolorization efficiency and TOC removal efficiency obtained in O3/MC/US system were increased by 12.6 and 6.5%, respectively, compared to those obtained in the pure O3 system. Based on the results of scavenging experiments, the combined effects of microchannel and ultrasound were proved to improve the contribution rate of hydroxyl radicals, thus improving the decolorization efficiency. The present work clearly illustrates that ozonation degradation can be effectively enhanced by microchannel and ultrasound, and also provides a feasible method for the treatment of organic wastewater.
دور القدرات الجوهرية في تعزيز الابداعي المؤسسي
Authors: Moheden Nishteman Othman , Rasul Hoshmand Muhammad 
Published: January 2023

- الغاية الرئيسة من البحث الحالي هي معرفة دور القدرات الجوهرية في تعزيز الابداع المؤسسي في عينة من الجامعات والمعاهد في اقليم كوردستان العراق، وكما تظهر مشكلة البحث الحالية في فقر الابداع المؤسسي في المؤسسات التعليمية المبحوثة، ولحل هذه المشكلة اقترح الباحثان الاهتمام بالقدرات الجوهرية ببعديها التعلم التنظيمي والقدرات التكنلوجية، ومن ثم دراستها ضمن إطار واحد ووفق منهج تسلسلي وتتابعي للوصول إلى رؤية شاملة وواضحة لمضامين لماذا على المؤسسات التعليمية الاهتمام المتزايد بالقدرات الجوهرية.
أذ تمثل عينة البحث اَراء عينة من أعضاء هيئة التدريس في عينة من الجامعات والمعاهد في أقليم كوردستان العراق، تم توزيع الاستبانة الألكترونية عن طريق نماذج جوجل (Google) بوصفها الأداة الرئيسة لجمع البيانات الخاصة لعينة البحث وتم استرجاع (107) استمارة صالحة لتحليل كعينة العشوائية ، يعتمد البحث لغرض التحليل والمعالجة الإحصائية على مجموعة من الوسائل الإحصائية منها (التكرارات ، النسبة المئوية ، الوسط الحسابي ، الإنحراف المعياري ، معامل الارتباط ، ، معامل الانحدار الخطي البسيط، الانحدار الخطي المتعدد)، بالاعتماد على مخرجات البرامج الاحصائي (SPSS V.25). اعتمد الباحثان المنهج الوصفي التحليلي لوصف المتغيرات وتحليل البيانات التي تم تجميعها.
توصل البحث على مجموعة من الاستنتاجات، كان أهمها أن التعلم التنظيمي تؤثر في تعزيز الابداع المؤسسي وكذلك القدرات التكنلوجية تؤثر في تعزيز الابداع المؤسسي، إذ تدل على إثبات الفرضية الأولى والثانية للبحث، واستناداً لذلك تمت الإشارة إلى مجموعة من المقترحات المتعلقة بضرورة زيادة وعي وإهتمام المؤسسات التعليمية بشكل عام والمؤسسات التعليمية المبحوثة بشكل خاص بمضامين القدرات الجوهرية ليأخذ مكانة مرموقة ومتميزة بين السبل والاَليات الأخرى المعاصرة بوصفه فرصة مناسبة لتبني أساليب عمل الابداعي، ووضع خطط متميزة بحيث تضعها في مكانة جيدة مستقلاً تحسن ادائها و من ثم التفوق على منافسيها.
A Neural Network Model Using Pain Score Patterns to Predict the Need for Outpatient Opioid Refills Following Ambulatory Surgery: Algorithm Development and Validation
Authors: Gabriel Rodney Allanigue , Simpson Sierra , Zhong William , Burton Brittany Nicole , Mehdipour Soraya , Said Engy Tadros 
Published: January 2023

Background
Expansion of clinical guidance tools is crucial to identify patients at risk of requiring an opioid refill after outpatient surgery.

Objective
The objective of this study was to develop machine learning algorithms incorporating pain and opioid features to predict the need for outpatient opioid refills following ambulatory surgery.

Methods
Neural networks, regression, random forest, and a support vector machine were used to evaluate the data set. For each model, oversampling and undersampling techniques were implemented to balance the data set. Hyperparameter tuning based on k-fold cross-validation was performed, and feature importance was ranked based on a Shapley Additive Explanations (SHAP) explainer model. To assess performance, we calculated the average area under the receiver operating characteristics curve (AUC), F1-score, sensitivity, and specificity for each model.

Results
There were 1333 patients, of whom 144 (10.8%) refilled their opioid prescription within 2 weeks after outpatient surgery. The average AUC calculated from k-fold cross-validation was 0.71 for the neural network model. When the model was validated on the test set, the AUC was 0.75. The features with the highest impact on model output were performance of a regional nerve block, postanesthesia care unit maximum pain score, postanesthesia care unit median pain score, active smoking history, and total perioperative opioid consumption.

Conclusions
Applying machine learning algorithms allows providers to better predict outcomes that require specialized health care resources such as transitional pain clinics. This model can aid as a clinical decision support for early identification of at-risk patients who may benefit from transitional pain clinic care perioperatively in ambulatory surgery.
Children and Young People’s Involvement in Designing Applied Games: Scoping Review
Authors: Saiger Michael John , Deterding Sebastian , Gega Lina 
Published: January 2023

Background
User involvement is widely accepted as key for designing effective applied games for health. This especially holds true for children and young people as target audiences, whose abilities, needs, and preferences can diverge substantially from those of adult designers and players. Nevertheless, there is little shared knowledge about how concretely children and young people have been involved in the design of applied games, let alone consensus guidance on how to do so effectively.

Objective
The aim of this scoping review was to describe which user involvement methods have been used in the design of applied games with children and young people, how these methods were implemented, and in what roles children and young people were involved as well as what factors affected their involvement.

Methods
We conducted a systematic literature search and selection across the ACM Digital Library, IEEE Xplore, Scopus, and Web of Science databases using State of the Art through Systematic Review software for screening, selection, and data extraction. We then conducted a qualitative content analysis on the extracted data using NVivo.

Results
We retrieved 1085 records, of which 47 (4.33%) met the eligibility criteria. The chief involvement methods were participatory design (20/47, 43%) and co-design (16/47, 37%), spanning a wide range of 45 concrete activities with paper prototyping, group discussions, and playtesting being the most frequent. In only half of the studies (24/47, 51%), children and young people participated as true design partners. Our qualitative content analysis suggested 5 factors that affect their successful involvement: comprehension, cohesion, confidence, accessibility, and time constraints.

Conclusions
Co-design, participatory design, and similar high-level labels that are currently used in the field gloss over very uneven degrees of participation in design and a wide variety of implementations that greatly affect actual user involvement. This field would benefit from more careful consideration and documentation of the reason of user involvement. Future research should explore concrete activities and configurations that can address the common challenges of involving children and young people, such as comprehension, cohesion, confidence, and accessibility.
Penerapan Ornamen Melayu Deli Pada Light Box Dengan Teknik Paper Cutting
Authors: Panmayu Zhurina , Mirwa Tetty 
Published: January 2023

Seiring berkembangnya zaman, masyarakat modern mulai meninggalkan ornamen tradisional seperti ornamen Melayu Deli. Perlunya memandang kembali budaya tradisional agar nilai-nilai luhur masyarakat Melayu Deli tidak hilang begitu saja. Sejauh ini, cara yang dilakukan masyarakat untuk melestarikan ornamen masih monoton. Proses penciptaan karya seni menurut Graham Wallas dalam buku The Art Thought (Djelantik, 2001: 64) terdiri dari: persiapan (preparation), inkubasi (incubation) inspirasi/ ilham (inspiration), elaborasi/ perluasan/ pemantapan (elaboration). Motif yang dipakai pada pembuatan karya light box ini adalah motif Roda Sula, motif Awan Semayang, motif Semut Beriring, motif Pelana Kuda Kencana, motif Itik Pulang Petang, Pucuk Kacang, motif Bunga Hutan, motif Tapuk Pinang, motif Terali Jantung, dan motif Terali Biola. Diharapkan penelitian ini dapat menjadi inspirasi dalam mengenalkan ornamen Melayu Deli dan dapat menjadi referensi untuk melakukan jenis penelitian yang sama mengenai pelestarian ornamen pada karya seni light box.Kata Kunci: Light Box, Paper cutting, Ornamen
Penciptaan Desain Tote Bag Menggunakan AI Draw dan Teknik Digital Printing sebagai Cenderamata Kota Medan
Authors: Siregar Agustian , Zulkifli Zulkifli 
Published: January 2023

Pengerajin tote bag di kota Medan pada saat ini tidak banyak yang menggunakan konsep desain ikon kota Medan. Hal ini menjadikan sepinya distribusi produk tote bag di outlet penjualan oleh-oleh kota Medan. Karya tulis ini bertujuan untuk menganalsis bagaimanakah penciptaan desain tote bag menggunakan aplikasi AI Draw atau Adobe Illustrator Draw dan teknik digital printing, serta mengetahui kualitas produk hasil penciptaan desain tote bag sebagai cenderamata kota Medan. Penciptaan dan penyajian seni ini menggunakan metode yang dijelaskan oleh Gustami yang di dalamnya terdapat tiga tahap penciptaan karya seni yaitu Eksplorasi, Perancangan, dan Perwujudan. Adapun langkah yang diambil dalam proses penciptaan 10 karya desain tote bag sebagai cenderamata kota Medan adalah perancangan konsep desain, pembuatan sketsa (tracing), penerapan warna pada desain (coloring), pemberian detail warna pada desain, finishing desain, dan finishing karya. Kualitas hasil penciptaan desain tote bag sebagai cenderamata kota Medan dinilai oleh 3 orang penilai yang merupakan ahli bidang akademik seni rupa. Kualitas hasil yang diperoleh pada 10 karya desain tote bag dengan memerhatikan penerapan unsur desain dan prinsip seni rupa, aspek penciptaan desain berupa konsep yang merupakan ikon-ikon yang ada di kota Medan, bentuk objek yang realis dan deformatif, hingga harmonisasi warna dan komposisi warna yang sesuai dengan objek. Dari ketiga penilai secara keseluruhan berada dalam kategori B (Baik) dengan jumlah skor = 271, dan skor rata-rata = 4,5.Kata Kunci: Tote bag, Cenderamata, digital printing