bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive Analysis of Prognostic Value and Immune Infiltration of Chromobox Family Members in Human Glioma
Authors: Wang Chao , Song ChenYi , Liu Jun , Liao Bin , Liu Feng 
Published: August 2023

Abstract
Objective: Glioma is the most common primary intracranial tumor. The proteins encoded by the Chromobox (CBX) family genes are essential components of the epigenetic regulatory complexes, which have been proved to be related to tumor progression in many cancers. However, little is known about the expression and prognostic value of CBX in human glioma.
Methods: The transcription and survival data of CBXs in glioma patients were explored from the online databases: Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA), Chinese Glioma Genome Atlas (CGGA), GeneMANIA, DAVID, cBioPortal and TIMER.
Results: The expression levels of CBX3, CBX6, CBX7, and CBX8 were significantly related to glioma classification. CBX4 was significantly associated with glioma recurrence. Survival analysis showed that the expression levels of CBX3, CBX6, CBX7 and CBX8 were significantly related to the prognosis of patients. Moreover, the expression levels of CBXs were related to the infiltration of neutrophils, macrophages, B cells, CD4 + T cells, CD8 + T cells and dendritic cells (DCs) in glioma tissues.
Conclusions: Our study showed that CBXs were significantly related to the progression, recurrence, prognosis and immune status of glioma. It indicated that CBXs may become a potential insight for epigenetic therapy, immunotherapy, and precision therapy of glioma.
Classification of Incomplete Data using Augmented Dataset
Authors: Bhattacharya Avigyan , Bhose Sreeja , Choudhury Suvra Jyoti 
Published: August 2023

Abstract

We introduced a new way to train a classifier to classify different data specifically incomplete data. Here, we train a classifier using a two-phase approach. In the first phase, we train a classifier using complete data. Then, we create a new data set (augmented dataset) before the second phase of training. After that, in the second phase, we retrain the classifier using the newly created data set. At the time of testing, if a feature vector with a missing value appears, we initially impute it using various strategies and complete it. Then we try to find the class label of each complete feature vector using the trained classifier. If a clas-sifier is trained using the augmented dataset, the performance of that classifier is dependent on that augmented dataset. To overcome this issue, later, we proposed two ways to combine different augmented datasets. We compare the proposed method using five classifiers on twelve datasets. We also use four types of imputation strategies for initial imputation if a dataset has missing values. The proposed method’s performance is better compared to the originally trained classifier.
An investigation of the effect of mindfulness-integrated cognitive behavior therapy on demoralization, body image, and sexual function in Iranian women with breast cancer
Authors: Moghadam Mahboobeh Soleymani , Parvizifard Aliakbar , Foroughi Aliakbar , Ahmadi Seyed Mojtaba , Farshchian Negin 
Published: August 2023

Abstract
Background
Breast cancer is an extremely unpleasant and unbearable experience that can have a profound impact on a person's life. Compared to other types of cancer, breast cancer has a more severe psychological impact on women.
Objective
Women with breast cancer were assessed for the effectiveness of mindfulness-integrated cognitive behavior therapy on demoralization, body image, and sexual function.
Method
A sample of 30 women with breast cancer was chosen for the study. The participants were randomly divided into intervention and control groups. Participants in the intervention group received Mindfulness-integrated cognitive behavior therapy, while the control group received self-help treatment (through an educational book). A demographic questionnaire, Demoralization Scale (DS-II), Body Image Scale (BIS), and Female Sexual Function Index (FSFI) were used to collect data. Descriptive statistics criteria such as frequency, mean, and standard deviation, repeated measures ANOVA, and the Bonferroni test were used to analyze the data. The maximum alpha error level was considered 0.05 to test the hypotheses (P ≥ 0/05).
Results
The results showed the effectiveness of mindfulness-integrated cognitive behavior therapy on demoralization, body image, and sexual function (p < 0.05). Concerning demoralization in the intervention group, the pre-test mean was 16.73 ± 3.33, and it reduced to 11.93 ± 1.49 in the post-test. The body image mean score showed a decreasing trend in the intervention group, from 12.47 ± 1.88 in the pre-test to 8.80 ± 3.21 in the post-test. The mean score for sexual function showed an increasing trend, increasing from 18.06 ± 2.29 in the pre-test to 23.07 ± 0.91 in the post-test. The results of the Bonferroni test indicated a significant decrease in the mean score of demoralization and body image and an increase in sexual function in post-test and follow-up (p < 0.05). There was no significant difference in the mean score of the post-test compared to the pre-test and follow-up in the control group (p < 0.05).
Conclusion
Women with breast cancer can significantly benefit from mindfulness-integrated cognitive behavior therapy, particularly concerning symptoms such as low mood, body image, and sexual function. Therefore, it is recommended to implement this treatment along with other treatment services.
Trial registration:
(IRCT20160103025817N6). 2022-04-06
Poised PABP-RNA hubs implement signal-dependent mRNA decay in development
Authors: Modic Miha , Kuret Klara , Steinhauser Sebastian , Faraway Rupert , Genderen Emiel van , Lee Flora , Mozos Igor Ruiz de Los , Vičič Žiga , Novljan Jona , Berge Derk ten , Luscombe Nicholas , Ule Jernej 
Published: August 2023

Abstract

Changes in gene expression implement signalling pathways to drive cell fate transitions1,2. However, the mechanisms for rapid and selective transcriptome rewiring in response to signalling cues remain elusive3-6. Here we use deep learning to deconvolve both the sequence determinants and trans-acting regulators that trigger clearance of the naïve pluripotency programme. We show that A/U-rich 3’UTR termini serve as hubs for poised PABP binding to license selective mRNA decay. Timing of decay is coupled to embryo implantation via ERK/MEK phosphorylation of LIN28A, repositioning pLIN28A to the PABP-RNA hubs at 3’UTR termini. Multivalency of AUU-motifs determines the efficacy of pLIN28A-PABP convergence, enhancing PABP 3’UTR binding selectively, decreasing the protection of polyA tails and activating mRNA decay to enable progression towards primed pluripotency. Collectively, PABP-RNA hubs are poised for signal-induced convergence with the regulator LIN28A, which selects naïve mRNAs for decay, thus enabling the switch-like capacity of its phosphorylation in ensuring swift developmental progression.
Tunable templating of photonic microparticles via liquid crystal order-guided adsorption of amphiphilic polymers in emulsions
Authors: Lagerwall Jan , Ma Xu , Han Yucen , Zhang Yan-Song , Geng Yong , Majumdar Apala 
Published: August 2023

Abstract
Multiple emulsions are usually stabilized by amphiphilic molecules that combine the chemical characteristics of the different phases in contact. When one phase is a liquid crystal (LC), the choice of stabilizer also determines its configuration, but conventional wisdom assumes that the orientational order of the LC has no impact on the stabilizer. Here we show that, for the case of amphiphilic polymer stabilizers, this impact can be considerable. The mode of interaction between stabilizer and LC changes if the latter is heated close to its isotropic state, initiating a feedback loop that reverberates on the LC in form of a complete structural rearrangement. We utilize this phenomenon to dynamically tune the configuration of cholesteric LC shells from one with radial helix and spherically symmetric Bragg diffraction to a focal conic domain configuration with highly complex optics. Moreover, we template photonic microparticles from the LC shells by photopolymerizing them into solids, retaining any selected LC-derived structure. Our study places LC emulsions in a new light, calling for a reevaluation of the behavior of stabilizer molecules in contact with long-range ordered phases, while also enabling highly interesting photonic elements with application opportunities across vast fields.
Bicontrol of Pythium aphanidermatum and Damping-off Disease of Papaya Seedlings (Carica papaya cv. Tainung No.2) by Different Smoke-water
Authors: Chen Chang-Lin , Chen Yan-Ting , Lin Huey-Ling 
Published: August 2023

Two key trends of sustainable agriculture are reducing the amount of inputs such as pesticides, fungicides, or fertilizer and finding ways to reduce or reuse agricultural waste. Leafy plant waste can be burned to produced smoke-water extracts that have effective antimicrobial and germination properties. Damping-off disease caused by Pythium spp. leads to significant losses at the papaya seedling stage and is usually managed with fungicides. Five smoke-water extracts derived from burning different plant residues—namely, rice straw smoke-water (R-SW), wheat straw smoke-water (W-SW), pangola grass smoke-water (P-SW), cornstalk smoke-water (C-SW), and bamboo leave smoke-water (B-SW)—were prepared. These were mixed into the V8 media used for culture of Pythium aphanidermatum. In vitro treatment with 5% P-SW, C-SW, or B-SW reduced mycelial growth rate significantly, whereas 5% B-SW inhibited mycelial growth completely. All 1% smoke-water preparations reduced zoospore production significantly, but the inhibition rate of 3% R-SW, 3% W-SW, 1% P-SW, 1% C-SW, and 1% B-SW reached 100%. For in vivo experiments, P. aphanidermatum was inoculated in 1 kg of potting soil and mixed with B-SW in concentrations of 1% to 5%. The papaya seedlings treated with 2% to 5% B-SW maintained the growth parameter without damping-off symptoms.
Deep learning model on rates of change for multi-step ahead streamflow forecasting
Authors: Tan Woon Yang , Lai Sai Hin , Pavitra Kumar , Teo Fang Yenn , El-Shafie Ahmed 
Published: August 2023

Abstract

Water security and urban flooding have become major sustainability issues. This paper presents a novel method to introduce rates of change as the state-of-the-art approach in artificial intelligence model development for sustainability agenda. Multi-layer perceptron (MLP) and deep learning long short-term memory (LSTM) models were considered for flood forecasting. Historical rainfall data from 2008 to 2021 at 11 telemetry stations were obtained to predict flow at the confluence between Klang River and Ampang River. The initial results of MLP yielded poor performance beneath normal expectations, which was R = 0.4465, MAE = 3.7135, NSE = 0.1994 and RMSE = 8.8556. Meanwhile, the LSTM model generated a 45% improvement in its R-value up to 0.9055. Detailed investigations found that the redundancy of data input that yielded multiple target values had distorted the model performance. Qt was introduced into input parameters to solve this issue, while Qt+0.5 was the target value. A significant improvement in the results was detected with R = 0.9359, MAE = 0.7722, NSE = 0.8756 and RMSE = 3.4911. When the rates of change were employed, an impressive improvement was seen for the plot of actual vs. forecasted flow. Findings showed that the rates of change could reduce forecast errors and were helpful as an additional layer of early flood detection.
A Fuzzy Inference System for enhanced groundwater quality assessment and index determination
Authors: Sajan R. Isaac , Christopher V. Bibin 
Published: August 2023

Abstract

Groundwater is a vital resource for human consumption, particularly in rural areas with limited access to treated water. The conventional Water Quality Index models used for this purpose have limitations related to data volatility and judgment uncertainties. To overcome these limitations, our study introduces a novel approach that employs a Fuzzy Inference System to determine the Water Quality Index. The dataset used in our research includes multiple parameters such as pH, EC, TDS, Ca, Mg, Na, K, HCO3, Cl, SO4, TH, DWQI, and other physio-chemical and chemical parameters. Our approach utilizes linguistic variables, fuzzy rules, and the hyperbolic tangent set function to handle imprecise and uncertain water quality data. By employing Fuzzy C-Means clustering, we group similar water samples based on quality parameters and map membership values to linguistic terms representing water quality categories. Suitable defuzzification methods are then applied to convert fuzzy outputs into precise results. This proposed approach provides a comprehensive framework for accurate water quality assessment, enabling informed decision-making and more reliable and precise evaluations of groundwater quality.
Mechanical Properties of Stone Mastic Asphalt Incorporating Glass Fiber
Authors: Halim Muhammad Ridwan Syahmi , Masri Khairil Azman , Jaya Ramadhansyah Putra , Abu Seman Mazlan , Abdullah Baqadeem Abdullah Omar 
Published: August 2023

Aims:
To study the mechanical properties of stone mastic asphalt incorporating glass fiber.

Background:
Asphalt may become cracked, degraded, or otherwise flawed because of the combination of SMA surfaces and general degradation. SMA, when combined with glass fibre, has the potential to bring about advancements in the road industry.

Objective:
The use of glass fibres to enhance the mechanical characteristics of Stone Mastic Asphalt.

Methods:
Marshall stability test, Resilient modulus test, Dynamic creep test, and Abrasion test.

Results:
The presence of fibre may increase the performance of the apparent Stone Mastic Asphalt, and a composition including 3 percent glass fibre results in improved stability and stiffness.

Conclusion:
A quantity of glass fibre equal to three percent is the optimal proportion to be used in the process of increasing the mechanical characteristics of SMA. The performance of glass fibres with a lower volume per unit is better than those with the largest volume per unit.
The Relationship between Nursing Job Satisfaction and Missed Nursing Care in Critical Care Units
Authors: AL-Mnaizel Emad Attallah Mohammad , AL-Zaru Ibtisam M. 
Published: August 2023

Background:
Missed nursing care is a common occurrence that has a negative impact on the standard of patient care. Missed care is indicative of nurses' affected work satisfaction in times of workflow. The purpose of this study was to determine the prevalence of missed nursing care (MNC), and the reasons for its occurrence among Jordanian nurses. The study sought to assess the level of job satisfaction and missed nursing care among Jordanian nurses and their association with demographic variables.

Methods:
A descriptive, cross-sectional design was used in this study. A convenience sample of 181 registered nurses working in different critical care units in one teaching hospital and two government hospitals was recruited. Three tools were used to collect the data: a sociodemographic data form, a survey of missed nursing care (MISSCARE Survey) consisting of two parts (part A was designed to measure missed nursing care (MNC), and part B addressed the reasons for MNC), and the nursing-workplace satisfaction questionnaire (NWSQ).

Results:
The results of the study revealed Jordanian nurses in critical care units to have a moderate level of job satisfaction (45.50±9.09). In addition, the total mean score of the MNC was found to be 2.18±0.40 out of 5, which is a low level of missed nursing care. The most commonly occurring missed nursing care aspects were turning patients every 2 hours (2.53 ±1.43), mouth care (2.37 ±1.36), and teaching patients about illness, tests, and diagnostic studies (2.36 ±1.47). Moreover, among the reasons for missed nursing care with respect to teamwork, the caregiver being off the unit or unavailable was the most significant one (24.3%, n=44); with respect to the material resources, the unavailability of medications, when needed, was the most significant factor (21.5%, n=39) for missed nursing care, and regarding the labor resources, an unexpected rise in patient volume and acuity on the unit was the most significant factor influencing missed nursing care (23.8%, n=43). Finally, a statistically significant weak negative correlation was found between nurses’ job satisfaction and missed nursing care score (R=-0.177, P=0.012).

Conclusion:
The study concluded that nurses in critical units have a low level of missed nursing care and a moderate level of job satisfaction.
Analisis Kekuatan Tarik Baja ST 41 Pengelasan Gesek Rotasi Variasi Waktu Gesek dan Tempa
Authors: Prabowo Setiyo , Sunyoto Sunyoto 
Published: August 2023

Pengelasan gesek rotasi tidak membutuhkan panas dari arus listrik melainkan dari gesekan. Karena pengelasan ini tergolong pengelasan solid state, perlu adanya penggunaan tekanan dalam proses pengelasannya. Tujuan penelitian ini yaitu untuk menganalisis kekuatan tarik baja ST 41 sambungan pengelasan gesek dengan variasi waktu gesek dan waktu tempa. Metode penelitian yang digunakan yaitu metode eksperimen dengan desain factorial design. Variasi waktu gesek yaitu 8, 10, 12 detik serta waktu tempa 4, 5, 6 detik. Penelitian menggunakan bahan baja ST 41 pejal yang dilas dengan pengelasan gesek dan pengelasan SMAW arus 100 A dengan elektroda E6010, sebagai kontrol penelitian. Hasil penelitian mendapatkan waktu gesek yang terbaik yaitu selama 10 detik dengan nilai rata-rata kekuatan tarik 527,97 MPa dan waktu tempa terbaik didapatkan selama 5 detik dengan nilai rata-rata kekuatan tarik 535,3 MPa. Untuk pengelasan SMAW mendapatkan nilai kekuatan tarik yang lebih rendah dari pengelasan gesek rotasi yaitu 422,01 Mpa. Friction stir welding needs heat not from electricity but from adequate friction time. Applying pressure is essential in this solid-state welding process. This study aimed to analyze the tensile strength of ST 41 steel in friction welding using friction time and forging time variations. This study used an experimental method with a factorial design. Friction time variation was 8,10, 12 minutes, whereas, for forging-time, the variation was 4, 5, and 6 seconds. The experiment used friction stir welding and SMAW welding on ST41 steel, with E6010 electrodes and 100 A current. The study results show that the optimum friction time is 10 seconds with an average tensile strength of 527,97 MPa, and the optimum forging time is 5 seconds with an average tensile strength of 535,3 MPa. The tensile strength value in SMAW welding is lower than the friction stir welding, with an average of 422,01 MPa.
Pengaruh kepemimpinan visioner kepala sekolah dan komunikasi internal terhadap komitmen guru
Authors: Octaviarnis Imroatin 
Published: August 2023

Tujuan dalam penelitian ini (1) Mendesripsikan tingkat kepemimpinan visioner, komunikasi internal, dan komitmen guru; (2) Pengaruh kepemimpinan visioner terhadap komitmen guru; (3) Pengaruh komunikasi internal terhadap komitmen guru; dan (4) Pengaruh kepemimpinan visioner dan komunikasi internal terhadap komitmen guru. Penelitian ini menggunakan pendekatan kuantitatif. Rancangan penelitian bersifat deskriptif korelasional. Subyek dalam penelitian ini berjumlah 40 orang guru PNS SMKN 2 Kota Batu. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah kuesioner. Analisis data menggunakan uji analisis jalur dengan bantuan SPSS versi 24.0. Hasil penelitian ini yakni (1) Kepemimpinan visioner termasuk dalam kategori rendah, komunikasi internal sangat tinggi, dan komitmen guru tinggi (2) Tidak ada pengaruh antara kepemimpinan visioner yang signifikan dengan komitmen guru yakni nilai Sig 0,2880,05, (3) Ada pengaruh antara yang signifikan pada komunikasi internal terhadap komitmen guru yakni nilai Sig. 0,0130,05. (4) Ada pengaruh antara kepemimpinan visioner dan komunikasi internal secara simultan yang signifikan terhadap komitmen guru yakni nilai Sig. 0,0120,05. Sedangkan, besar variabel lain diluar variabel yang diteliti yakni 0,787.
Prescribing Patterns of Dupilumab for Atopic Dermatitis in Adults: Retrospective, Observational Cohort Study
Authors: Sivesind Torunn E , Oganesyan Ani , Bosma Grace , Hochheimer Camille , Schilling Lisa M , Dellavalle Robert 
Published: August 2023

Background
Atopic dermatitis (AD) is a common inflammatory disease caused by a type 2 T helper cell–mediated immune response to environmental antigens. Approximately 1 in 5 patients with AD presents with moderate to severe disease, and treatments approved by the Food and Drug Administration include emollients, topical glucocorticoids, and calcineurin inhibitors. Dupilumab, a fully human monoclonal antibody, improves AD via inhibition of interleukin-4 and interleukin-13.

Objective
Our aim was to characterize the prescribing patterns of dupilumab for AD in adults at a large university-affiliated health system.

Methods
A retrospective, observational cohort study was conducted using electronic data from the Observational Health Data Sciences and Informatics database, assessing data from the University of Colorado Medical Campus and its affiliates. The outcome measured was the prevalence of dupilumab prescribed for adults with AD (n=6421), between March 28, 2013, and March 28, 2021. We assessed whether the characteristics of patients who received dupilumab were different from those who did not. Each patient characteristic was assessed using a univariate logistic regression with the binary outcome of receiving or not receiving dupilumab.

Results
We found a population prevalence of 5.6% (6421/114,476) for AD. In our cohort, Black patients with AD were more than twice as likely to have received dupilumab compared to White patients (odds ratio 2.352, 95% CI 1.58-3.39). Patients with a diagnosis of atopic neurodermatitis were approximately twice as likely to have received dupilumab compared to those with other diagnostic variants of AD (odds ratio 1.87, 95% CI 1.01-3.22).

Conclusions
Our results demonstrate that both patient racial characteristics and specific AD diagnoses were associated with variations in dupilumab prescription patterns.