bluuebunny/crossref_metadata_2025_split huggingface dataset:
Observation on the Therapeutic Efficacy of Camrelizumab Combined with
Chemotherapy in Non-small Cell Lung Cancer and the Cutaneous Immune-related
Adverse Events: A Retrospective Study
Authors: Wang Hongmei , Xia Jiali , Yu Aoyang , Cao Menghan , Zhao Yang , Qin Xiaobing , Liu Wenlou , Han Zhengxiang , Jiang Guan 
Published: January 2025

Introduction:
Immunotherapy targeting PD-1/PD-L1 shows significant benefits in lung cancer. Cutaneous
immune-related adverse events (irAEs) are frequent, early-developing side effects of ICIs, and their potential
role as prognostic markers in non-small cell lung cancer (NSCLC) therapy requires further exploration.

Methods:
Data of patients with NSCLC treated with camrelizumab Combined with chemotherapy were collected
at Xuzhou Medical University from 2019 to 2023. Cutaneous irAEs were monitored using CTCAE v5.0, and
therapeutic efficacy was assessed using RECIST 1.1 criteria for ORR and PFS. Multivariable Cox regression
analysis identified independent predictors of PFS, and a nomogram was constructed to predict survival outcomes.

Results:
Data from 151 patients were analyzed. Significant differences in the objective response rate (ORR, P =
0.016) and progression-free survival (PFS, P < 0.0001) were detected between NSCLC patients, either with cirAEs
or not. Besides, PFS was significantly different in NSCLC patients who were subgrouped by the time of
first cutaneous irAEs occurrence (P = 0.011), duration of cutaneous irAEs (P = 0.002), grade of cutaneous irAEs
(P = 0.002), the number of cutaneous irAEs(P = 0.021). The multivariable analysis also revealed that cirAEs were
positively associated with survival outcomes (HR: 0.316, 95% CI, 0.193- 0.519, P＜0.001) for PFS. The nomogram
was formulated based on the results of multivariate analysis and validated using an internal bootstrap
resampling approach, which showed that the nomogram exhibited a sufficient level of discrimination according to
the C-index 0.80 (95% CI, 0.748-0.850).

Conclusion:
The presence of cirAEs in NSCLC patients treated with camrelizumab combined with chemotherapy
is indicative of better treatment efficacy and prognosis. This study supports the utility of cirAEs as biomarkers for
predicting the validity of immunotherapy in NSCLC. It proposes a novel, multi-parameter prognostic model to
assess patient outcomes more accurately.
A Multi-Source Heterogeneous Data-Driven
Method for Nursing Home Location Selection: The
Cases of Two Districts in Beijing
Authors: Wang Hao , Wang Zongshui , Zhao Hong 
Published: January 2025

Background:
The configuration of nursing homes is crucial for cities with severe aging
populations, traditional optimization methods mentioned in previous research rarely use multi--
source heterogeneous data.

Objective:
To optimize the nursing home location selection methods and improve decision effectiveness
by multi-source heterogeneous data.

Design:
Quantitative data were collected using a mixed-methods design.

Methods:
The real-time data was considered and the population factors, economic level, natural
factors, medical conditions, convenience of life and traffic accessibility were integrated to explain
location-decision principles. Geographical Information System (GIS) was used to collect spatial
data, and machine learning methods were employed to evaluate the spatial suitability of nursing
homes at a 500-meter grid scale. To test the validity, Xicheng and Dongcheng districts in Beijing
were chosen as cases.

Results:
The proposed method shows better prediction performance compared with Extreme Gradient
Boost (XGBoost), Random Forest, and AdaBoost. The quantitative analysis showed that the
number of schools, the proportion of green areas, medical conditions, traffic accessibility, and the
number of shopping facilities are the main features for determining the location of nursing homes
in Xicheng and Dongcheng Districts Beijing.

Conclusion:
The local government should pay attention to factors such as education, green
spaces, medical conditions, transportation conditions, and shopping convenience when considering
the configuration of nursing homes. The location selection method proposed in this paper considers
multiple dimensions to increase objectivity and comprehensiveness.
The Characteristics of Respiratory Compensation Strategy and Its Application Equipment Analysis
Authors: Zhang Weixi , Niu Cong , Jiang Jingang 
Published: January 2025

Background:
Thoracic and abdominal tumors seriously endanger people's health. In
the process of accurate diagnosis and treatment, due to the existence of respiratory motion, the location
of the tumor will change. to solve this problem, many experts and scholars have proposed a
variety of respiratory compensation strategies. However, there is a lack of comprehensive introduction
and analysis of various respiratory compensation strategies.

Objective:
According to the characteristics of respiratory compensation, this paper discusses its development
status and development trend, and puts forward reasonable suggestions for its future development,
to provide a reference for other researchers.

Methods:
Through the analysis of a large number of articles and patents. Classification, advantages
and disadvantages, and main application equipment of the existing respiratory compensation
strategies are introduced. Application principle, influencing factors, main application equipment,
and compensation accuracy of breath holding method, abdominal pressure method, active respiratory
control method, respiratory gating method and tumor real-time tracking method were compared
and analyzed.

Results:
Through the comparison and analysis of various respiratory compensation strategies, the
characteristics, applicable conditions, and existing problems of various respiratory compensation
strategies are clarified. The solutions to the existing problems are put forward, and the development
trend of respiratory compensation strategies is prospected.

Conclusion:
Respiratory compensation strategy plays an important role in the diagnosis and treatment
of thoracic and abdominal tumors. Various existing respiratory compensation strategies can
effectively compensate for respiratory movement, but they all face the problem of insufficient
compensation accuracy. Therefore, it is necessary to study and improve the respiratory compensation
strategy. In the future, respiratory compensation strategies will develop in the direction of better
effect and more comfortable for patients.
Innovative Applications of Rotary Evaporators in Vacuum-assisted Synthesis for Sustainable Chemistry
Authors: Wang Weiding , Huang Chenhao , Zhang Qian 
Published: January 2025

Abstract:
In recent years, the pursuit of sustainable and efficient methods for organic synthesis has
gained significant momentum. Among the emerging strategies, vacuum-assisted organic synthesis is
a promising approach, offering the potential to expedite reactions, boost yields, and minimize waste
generation. This review delves into the innovative utilization of rotary evaporators as a reactor for
vacuum-assisted organic synthesis, showcasing their unique advantages and potential. The advantages
of this approach and the recent examples of vacuum-accelerated reactions carried out in
rotary evaporators are discussed, demonstrating their versatility and potential for green catalysis. By
exploring the untapped potential of rotary evaporators as reactors, we aim to stimulate further research
in this burgeoning field and contribute to the ongoing endeavour to transform organic synthesis
into a more sustainable and efficient practice.
Faktor yang Memengaruhi Tingkat Pengangguran Terbuka Di Provinsi Banten Menggunakan Regresi Data Panel
Authors: Annisa Qurrota Ayu  , Sri Subanti  , Sugiyanto  
Published: January 2025

Pengangguran merupakan permasalahan umum yang dihadapi negara berkembang seperti Indonesia. Pada tahun 2022-2023 Provinsi Banten menduduki peringkat pertama persentase Tingkat Pengangguran Terbuka (TPT) tertinggi di Indonesia. Sehingga, diperlukan penelitian lebih lanjut mengenai faktor-faktor apa saja yang mempengaruhi Tingkat Pengangguran Terbuka (TPT) di Provinsi Banten. Penelitian ini bertujuan untuk menganalisis pengaruh rata-rata lama sekolah , upah minimum kabupaten/kota , tingkat partisipasi angkatan kerja , dan laju pertumbuhan PDRB terhadap Tingkat Pengangguran Terbuka (TPT) di Provinsi Banten tahun 2013-2022. Metode analisis yang digunakan dalam penelitian ini merupakan regresi data panel. Hasil dari penelitian ini menunjukkan bahwa model terbaik yang terpilih setelah melalui uji Chow dan uji Hausman adalah fixed effect model. Kemudian diperoleh hasil akhir bahwa rata-rata lama sekolah berpengaruh negatif dan signifikan terhadap persentase Tingkat Pengangguran Terbuka (TPT) di Provinsi Banten, upah minimum kabupaten/kota berpengaruh positif dan signifikan terhadap persentase Tingkat Pengangguran Terbuka (TPT) di Provinsi Banten, tingkat partisipasi angkatan kerja berpengaruh negatif dan signifikan terhadap persentase Tingkat Pengangguran Terbuka (TPT) di Provinsi Banten, dan laju pertumbuhan PDRB berpengaruh negatif dan signifikan terhadap persentase Tingkat Pengangguran Terbuka (TPT) di Provinsi Banten.
Pelabelan Komposit Pada Graf Memuat Cycle
Authors: Komarullah Hafif 
Published: January 2025

Pelabelan komposit pada graf yang berorder dan size adalah pemetaan bijektif titik dan sisi graf ke bilangan bulat positif 1 sampai sedemikian sehingga label sisi yang bersisian dengan titik yang sama tidak relatif prima. Graf yang dapat dilabeli dengan pelabelan komposit disebut graf komposit. Paper ini membahas pelabelan komposit pada graf yang memuat cycle diantaranya graf tadpole, graf gunung api, graf pot bunga, dan graf pohon palem. Metode yang digunakan dalam paper ini adalah studi literatur, deskriptif aksiomatik, dan pendeteksian pola. Berdasarkan penelitian yang telah dilakukan diperoleh bahwa graf tadpole, graf gunung api, graf pot bunga, dan graf pohon palem merupakan graf komposit.
Implementasi Metode Regresi Linear Berganda dalam Analisis Faktor-faktor Pengaruh Indeks Pembangunan Manusia
Authors: Fitriyani Vina , Rofingah Chalimatur 
Published: January 2025

Provinsi Jawa Tengah merupakan provinsi dengan jumlah penduduk terbesar ketiga di Indonesia. Penduduk Indonesia yang berjumlah besar dapat menjadi modal pembangunan bila memiliki kualitas yang memadai. Pembangunan menjadi sarana yang esensial dalam mencapai tujuan sebuah bangsa, sementara indikator penting bagi suatu Negara untuk menilai keberhasilan pembangunan adalah indeks pembangunan manusia. Indeks pembangunan manusia menjadi parameter untuk mengevaluasi keberhasilan upaya pembangunan dalam meningkatkan kualitas hidup manusia. Perkembangan IPM memberikan indikasi peningkatan atau penurunan kinerja pembangunan manusia pada suatu daerah. Faktor-faktor yang dapat mempengaruhi indeks pembangunan manusia seperti usia harapan hidup, harapan lama sekolah, rata-rata lama sekolah, dan pengeluaran per kapita. Tujuan dalam penelitian ini adalah untuk mengetahui pengaruh dari usia harapan hidup, harapan lama sekolah, dan rata-rata lama sekolah terhadap indeks pembangunan manusia secara simultan dan parsial terhadap indeks pembangunan manusia. Data dari penelitian ini bersumber dari website resmi BPS Provinsi Jawa Tengah yaitu https://jateng.bps.go.id/. Pada penelitian ini, data yang digunakan merupakan data cross-sectional yakni data yang dikumpulkan pada satu titik waktu atau dalam satu periode waktu tertentu. Data dalam penelitian ini memiliki tiga variabel independen yaitu usia harapan hidup (UHH) sebagai X_1, harapan lama sekolah (HLS) sebagai X_2, dan rata-rata lama sekolah (RLS) sebagai X_3, dan satu variabel dependen yaitu indeks pembangunan manusia (IPM) sebagai Y. Data yang telah terkumpul kemudian dilakukan analisis regresi untuk melihat pengaruh antara variabel independen terhadap variabel dependen menggunakan metode regresi linear berganda. Pada implementasinya menggunakan python dihasilkan model regresi linear berganda Y = 14.0345 + 0.3503x_1 + 1.2432x_2 + 2.1266x_3, menujukkan bahwa baik secara parsial maupun simultan UHH (X_1) , HLS (X_2), dan RLS (X_3) berpengaruh positif terhadap IPM (Y0.
Effectiveness of bulking agents in managing stress and mixed urinary incontinence: a systematic review and meta-analysis
Authors: Paramita Alma Dhiani , Ustadi Fiqih Faizara , Susanto Jennifer , Ansori Moch. Afrizal , Kurniawati Eighty Mardiyan , Setyo Hadi Tri Hastono 
Published: January 2025

Stress urinary incontinence and stress-predominant mixed urinary incontinence are prevalent conditions that significantly impair quality of life, particularly among women. Urethral bulking agents have emerged as a non-surgical treatment option for patients who are hesitant to undergo surgical interventions. The aim of this systematic review and meta-analysis is to evaluate the efficacy and safety of various urethral bulking agents, specifically Bulkamid, Macroplastique, and Urolastic, in treating stress urinary incontinence and stress-predominant mixed urinary incontinence. The review encompasses 15 studies, including rando­mized controlled trials and cohort studies, with a total of 1,120 patients. The analysis focuses on cure and improvement rates, complications, and the risk of bias associated with the included studies. The fin­dings indicate that bulking agents demonstrate cure and improvement rates ranging from 70 to 80 %, with a pooled average of 75 %. Subgroup analyses reveal cure rates of 76 % for Bulkamid, 73 % for Urolastic, and 77 % for Macroplastique. Despite significant statistical heterogeneity, particularly for Bulkamid and Urolastic, the results suggest that these agents can serve as effective non-surgical options. The outcomes appear consistent across all continents included in this study, reinforcing their potential as reliable alternative glo­bally. Ho­wever, the review highlights the necessity for well-designed randomized controlled trials to further assess the long-term efficacy and safety of these treatments, ultimately aiming to optimize patient outcomes.
Effect of Glomerular Hyperfiltration on Incident Cardiovascular Disease in Patients with Type 2 Diabetes Mellitus
Authors: Chung Seung Min , Jung Inha , Lee Da Young , Park So Young , Yu Ji Hee , Moon Jun Sung , Seo Ji A. , Han Kyung-Do , Kim Nan Hee 
Published: January 2025

Key Points

Patients with type 2 diabetes mellitus who had glomerular hyperfiltration (GHF) were younger and had fewer comorbid metabolic disorders, despite poor glycemic control.The relationship between eGFR and incident cardiovascular disease showed an inverted J-shaped pattern, which was highest among low filtration, followed by GHF.GHF was associated with a higher risk of cardiovascular disease, particularly myocardial infarction and heart failure.

Background
The effects of glomerular hyperfiltration (GHF) on cardiovascular disease (CVD) risk in patients with type 2 diabetes mellitus were explored.

Methods
This retrospective cohort study enrolled 1,952,053 patients with type 2 diabetes mellitus from the Korean National Health Insurance Service database between 2015 and 2016. On the basis of age- and sex-specific eGFR percentiles, patients were classified into five groups: <5 (low filtration), 5–40, 40–60, 60–95, and >95 (GHF). Patients with incident CVD (myocardial infarction [MI], stroke, and hospitalization for heart failure) were followed up until December 2022.

Results
CVD occurred in 214,111 patients (11%). The incidence rates were 36.1, 20.8, 18.3, 18.7, and 19.3 per 1000 person-years for the eGFR groups, respectively. Low filtration (hazard ratio [HR], 1.56; 95% confidence interval [CI], 1.53 to 1.59) and GHF (HR, 1.13; 95% CI, 1.10 to 1.15) were associated with higher CVD risk adjusted for covariates than that of the eGFR 40–60 percentile, showing an inverted J-shaped relationship. GHF was associated with a higher risk of MI (HR, 1.06; 95% CI, 1.01 to 1.11) and heart failure (HR, 1.17; 95% CI, 1.14 to 1.20) and with a higher risk of stroke. eGFR was associated with CVD risk across subgroups of age, sex, obesity, hypertension, and dyslipidemia. The effect of GHF on CVD may be greater in younger patients (HR=1.30, 1.17, and 1.05 in <40, 40–60, and ≥65 years old, respectively).

Conclusions
GHF was associated with CVD, particularly MI and heart failure. Screening for GHF in the early stages of type 2 diabetes mellitus may be beneficial.
M-ary Pulse Ampplitude Modulation Recognition Using Discrete Meyer Wavelet and Reverse Biorthogonal Wavelet
Authors: Hadi Athab Hamed  , Ahmed Kareem ABDULLAH  
Published: January 2025

Automatic modulation recognition (AMR) is a fundamental task in communication systems. Feature extraction (FE) is an essential part in the recognition system,the proper selection of FE will enhance the recognition accuracy, and reduce the complexity of the system. In this paper, Reverse Biorthogonal wavelet (RBW), andDiscrete Meyer Wavelet (DMW), followed by standard deviation are used for FE. They are used to reduce the FE sets, and complexity of the recognition system.Adaptive Neuro Fuzzy Inference system is used as a classifier, to classify the,M-ary Pulse Amplitude Modulation (PAM) signals (i.e.4PAM, 8PAM, 16PAM, 32PAM, 64PAM, and128PAM), in a wide range of signal to noise ratio (SNR). MATLAB programs were used to fulfill all the requested tasks.The results show that the recognition system of M-ary (PAM) signals exhibits a satisfactory level under low SNR, and the system can achieve success rates over 98% in SNR ( from -2 to 12) dB.
Automated diagnosis and classification of metacarpal and phalangeal fractures using a convolutional neural network: a retrospective data analysis study
Authors: Axenhus Michael , Wallin Anna , Havela Jonas , Severin Sara , Karahan Ablikim , Gordon Max , Magnéli Martin 
Published: January 2025

Background and purpose: Hand fractures are commonly presented in emergency departments, yet diagnostic errors persist, leading to potential complications. The use of artificial intelligence (AI) in fracture detection has shown promise, but research focusing on hand metacarpal and phalangeal fractures remains limited. We aimed to train and evaluate a convolutional neural network (CNN) model to diagnose metacarpal and phalangeal fractures using plain radiographs according to the AO/OTA classification system and custom classifiers.Methods: A retrospective analysis of 7,515 examinations comprising 27,965 images was conducted, with datasets divided into training, validation, and test datasets. A CNN architecture was based on ResNet and implemented using PyTorch, with the integration of data augmentation techniques.Results: The CNN model achieved a mean weighted AUC of 0.84 for hand fractures, with 86% sensitivity and 76% specificity. The model performed best in diagnosing transverse metacarpal fractures, AUC = 0.91, 100% sensitivity, 87% specificity, and tuft phalangeal fractures, AUC = 0.97, 100% sensitivity, 96% specificity. Performance was lower for complex patterns like oblique phalangeal fractures, AUC = 0.76.Conclusion: Our study demonstrated that a CNN model can effectively diagnose and classify metacarpal and phalangeal fractures using plain radiographs, achieving a mean weighted AUC of 0.84. 7 categories were deemed as acceptable, 9 categories as excellent, and 3 categories as outstanding. Our findings indicate that a CNN model may be used in the classification of hand fractures.
Model Pembelajaran PBL Berbasis PTK-LS terhadap Penguasaan Konsep dan Keterampilan Proses Sains
Authors: Agustinus Made Dedi , Yusuf Munawir , Subagya  
Published: January 2025

Keterampilan proses sains dan dan pengusaan konsep siswa masih perlu ditingkatkan melalui penerapan model pembelajaran inovatif yang dapat dilakukan guru secara kolaboratif. Penelitian ini bertujuan mengetahui penerapan model PBL berbasis PTK-LS terhadap aspek keterampilan proses sains dan penguasaan konsep siswa kelas X SMK Pertanian pada mata pelajaran biologi. Desain PTK menggunakan model Kemmis, Taggart & Nixon yang terdiri dari tahap perencanaan, tindakan, observasi dan refleksi. Penelitian dilaksanakan dalam 2 siklus, tiap siklus dengan 4 kali lesson study yang masing-masing terdiri dari tahap Plan, Do dan See. Metode pengumpulan data yang digunakan adalah metode non tes dan tes. Metode non tes berupa metode observasi untuk mengukur keterlaksanaan LS, keterlaksanaan sintaks PBL, dan keterampilan proses sains, metode tes uraian untuk mengukur penguasan konsep siswa. Hasil penelitian menunjukkan keterlaksanaan LS pada siklus I dan II termasuk kategori sepenuhnya terlaksana. Keterlaksanaan sintaks PBL termasuk kategori sepenuhnya terlaksana. Keterampilan proses sains siswa meningkat dari kategori tinggi pada siklus I menjadi sangat tinggi pada siklus II. Penguasaan konsep siswa juga meningkat dari kategori tinggi pada siklus I menjadi sangat tinggi pada siklus II. Simpulan penelitian penerapan model pembelajaran PBL berbasis PTK-LS meningkatkan aspek keterampilan proses sains dan penguasaan konsep siswa.
Meningkatkan Kreativitas Anak Kelompok A1 Melalui Pembelajaran Bermain Pasir dan Teknik Mozaik
Authors: Jamiatun  
Published: January 2025

Kreativitas anak masih belum bisa dikatakan optimal, hal ini dapat dilihat dari hasil pengamatan yang dilakukan pada anak kelompok A1 menunjukkan bahwa dari 18 anak, hanya 3 orang anak (16,67%) yang mampu meningkatkan kreativitasnya. Tujuan untuk mengkaji adanya peningkatan kretaivitas anak meningkatkan kreativitas anak kelompok A1 melalui pembelajaran bermain pasir dan teknik mozaik. Penelitian ini adalah penelitian tindakan kelas dengan empat alur yaitu perencanaan, pelaksanaan, pengamatan dan refleksi. Subjek penelitian ini adalah seluruh anak kelas A1 yang berjumlah 18 anak, cara pengumpulan data dalam penelitian ini adalah observasi, wawancara dan dokumentasi, sedangkan analisis datanya menggunakan statistik deskriptif. Berdasarkan hasil analisis data pada siklus I hasilnya adalah 61,11%. Hal ini menunjukkan bahwa kriteria tingkat pencapaian kreativitas anak belum berhasil. Maka penelitian ini berlanjut pada siklus II dan memperoleh hasil 83,33 %. Hal ini membuktikan bahwa kriteria tingkat pencapaian kreativitas anak sudah tercapai. Dengan demikian dapat disimpulkan bahwa ada peningkatan kreativitas anak dengan menggunakan metode pembelajaran bermain pasir dan teknik mozaik di Kelompok A1. Sehingga, direkomendasikan bahwa pembeljaarn ini bisa digunakan sebagai metode pembelajarn inovatif untuk meningkatkan kreativitas anak usia dini.
Model Pembelajaran Problem Based Learning Dengan Variasi Belajar Outdoor Terhadap Kemampuan Pemecahan Masalah Siswa Kelas V Sekolah Dasar
Authors: Ni Luh Merta Juniasih  , Putu Nanci Riastini  
Published: January 2025

Kemampuan pemecahan masalah siswa sekolah dasar masih sangat rendah. Hal ini dikarenakan beberapa faktor, seperti kurangnya inovasi guru dalam memberkan pembelajaran berbasis masalah. Melihat hal tersebut dilakukan penelitian yang bertujuan untuk menganalisis model pembelajaran PBL dengan variasi belajar outdoor terhadap kemampuan pemecahan masalah siswa kelas V SD. Penelitian ini merupakan penelitian eksperimen semu (quasi-eksperimental). Populasi dalam penelitian ini adalah seluruh kelas V di SD. Sampel penelitian ini kelompok eksperimen yaitu siswa kelas V yang berjumlah 14 orang dan siswa kelas V yang berjumlah 15 orang sebagai kelompok kontrol. Data penelitian dikumpulkan menggunakan metode tes dengan instrumen tes objektif. Data yang diperoleh dianalisis dengan menggunakan statistik deskriptif dan statistik inferensial (Uji-t). Berdasarkan hasil analisis data didapatkan bahwa terdapat pengaruh signifikan model PBL dengan variasi belajar outdoor terhadap kemampuan pemecahan masalah siswa kelas V Sekolah Dasar. Disimpulkan bahwa model PBL dengan variasi belajar outdoor dapat meningkatkan kemampuan pemecahan masalah siswa kelas V Sekolah Dasar. Implikasi penelitian yaitu model PBL dengan variasi belajar outdoor mendorong guru untuk menggunakan berbagai strategi pengajaran dan penilaian. Guru harus menjadi fasilitator dan pembimbing bagi siswa saat mereka belajar memecahkan masalah.