bluuebunny/crossref_metadata_2025_split huggingface dataset:
PELATIHAN PEMASARAN DENGAN MEMANFAATKAN DIGITAL MARKETING UNTUK PRODUK OLAHAN PURUN DI KECAMATAN HAUR GADING HSU
Authors: Utomo Setio Utomo , Humaidi  , Fahrurazi  , Isty Juraiha  
Published: February 2024

ABSTRAK: Kelompok Usaha Kerajinan Purun Maju Bersama menjadi mitra sebab adanya permasalahan-permasalahan yang terjadi yaitu Produk-produk purun kebanyakan masih memiliki nilai ekonomi yang relatif rendah dan belum bisa bersaing di skala nasional maupun internasional, Kurangnya dukungan pemerintah, yaitu lemahnya regulasi dan kebijakan yang berkelanjutan dalam pengelolaan komoditas unggulan seperti purun, Belum optimal dan kurangnya pemahaman dalam memanfaatkan teknologi yang lebih tepat dalam meningkatkan daya jual produk purun, Belum optimal dan kurangnya pemahaman umkm dalam penggunaan digital sebagai promosi yang efektif dan efisiensi dalam memasarkan produk purun, Perubahan perilaku konsumen di era digital, pembatasan aktivitas fisik dan sosial menjadi katalis bagi para pelaku Usaha Mikro Kecil Menengah (UMKM). Tujuan dari kegiatan ini adalah memberikan pelatihan pemasaran digital marketing kepada kerajinan purun di Kawasan lahan Basah Kecamatan Haur Gading Kabupaten Hulu Sungai Utara. Hasil pelaksanaan kegiatan ini adalah kerajinan purun semakin dikenal oleh masyarakat luas melalui digital marketing yakni melalui media sosial dan marketplace. Dengan adanya digital marketing tentunya memberikan informasi tentang spesifikasi produk yang di jual, jenis, motif dan berbagai hal yang membuat konsumen lebih tertarik sehingga mampu meningkatkan penjualan
Kata kunci : Kerajinan Purun, Digital Marketing, Kawasan Lahan Basah

ABSTRACT: The Purun Maju Bersama Handicraft Group has become a partner because of the problems that occur, namely most of the purun products still have a relatively low economic value and cannot compete on a national or international scale, Lack of government support, namely weak regulations and sustainable management of excellence such as purun, not yet optimal and lack of understanding in utilizing more appropriate technology in increasing the selling power of purun products, suboptimal and lack of understanding of MSMEs in using digital as an effective and efficient promotion in marketing purun products, digital era behavior, changes in physical and social activities become a catalyst for Micro, Small and Medium Enterprises (MSMEs). The result of the implementation of this activity is the purun craft which is known by the wider community through digital marketing, namely through social media (Instagram, Facebook) and marketplace (shopee, Lazada and so on). With digital marketing, of course, providing information about the specifications of the products being sold, types, motifs and various things that make consumers more interested so as to increase sales
Keywords: Purun Craft, Digital Marketing, Wetland Area
Behind the Sadness of Teen Girls: A Retrospective Survey Analysis
Authors: Baser Onur , Alsaleh Sara , Zeng Yixuan , Baser Isabel 
Published: February 2024

(1) Background: Since the pandemic, adolescent girls have increasingly faced mental health challenges. We examined prevalence trends and associated risk factors for depression among adolescent girls. 2) Methods: Data for girls aged 12 to 17 years (N=4346) from the 2021 cross-sectional National Survey on Drug Use and Health were analyzed. Factors associated with depression were examined using multiple regression analysis. (3) Results: Rates of severe depression were significantly higher (p&amp;lt;.001) in older girls (adjusted odds ratio [AOR]: 1.63, 1.61, those who did not have authoritative parents (AOR: 3.40), and those with negative school experiences (AOR: 4.03). Black and Asian/Native Hawaiian or other Pacific Islanders were less likely to report severe depression than white girls. As previously reported, non-White girls were significantly less likely to receive treatment for depression (p&amp;lt;.05). Parents’ characteristics and school experiences had no effect on the likelihood of receiving mental health treatment. (4) Conclusion: Depression has become increasingly common among American adolescent girls, who are now three times as likely as adolescent boys to have had recent experiences with depression. Our results show that family structure, parenting style, and negative school experiences significantly contribute to the rate of depression and that treatment disparities exist with regard to race and ethnicity.
Flowing Bottomhole Pressure during Gas Lift in Unconventional Oil Wells
Authors: Jin Miao , Emami-Meybodi Hamid , Ahmadi Mohammad 
Published: February 2024

Summary
We present artificial neural network (ANN) models for predicting the flowing bottomhole pressure (FBHP) of unconventional oil wells under gas lift operations. Well parameters, fluid properties, production/injection data, and bottomhole gauge pressures from 16 shale oil wells in Permian Basin, Texas, USA, are analyzed to determine key parameters affecting FBHP during the gas lift operation. For the reservoir fluid properties, several pressure-volume-temperature (PVT) models, such as Benedict-Webb-Rubin (BWR); Lee, Gonzalez, and Eakin; and Standing, among others, are examined against experimentally tuned fluid properties (i.e., viscosity, formation volume factor, and solution gas-oil ratio) to identify representative fluid (PVT) models for oil and gas properties. Pipe flow models (i.e., Hagedorn and Brown; Gray, Begs and Brill; and Petalas and Aziz) are also examined by comparing calculated FBHP against the bottomhole gauge pressures to identify a representative pipe flow model. Training and test data sets are then generated using the representative PVT and pipe flow models to develop a physics-based ANN model. The physics-based ANN model inputs are hydrocarbon fluid properties, liquid flow rate (qL), gas-liquid ratio (GLR), water-oil ratio (WOR), well true vertical depth (TVD), wellhead pressure (Pwh), wellhead temperature (Twh), and temperature gradient (dT/dh). A data-based ANN model is also developed based on only TVD, Pwh, qL, GLR, and WOR. Both physics- and data-based ANN models are trained through hyperparameter optimization using genetic algorithm and K-fold validation and then tested against the gauge FBHP. The results reveal that both models perform well with the FBHP prediction from field data with a normalized mean absolute error (NMAE) of around 10%. However, a comparison between results from the physics- and data-based ANN models shows that the accuracy of the physics-based model is higher at the later phase of the gas lift operation when the steady-state pipe flow is well established. On the contrary, the data-based model performs better for the early phase of gas lift operation when transient flow behavior is dominant. Developed ANN models and workflows can be applied to optimize gas lift operations under different fluid and well conditions.
Construct Validity of the Braden Scale in Acute- and Long-term Care Settings in Austria: A Structural Equation Modeling Analysis
Authors: Schumacher Petra , Mueller Gerhard 
Published: February 2024

Abstract

Background: The Braden scale is frequently used to assess pressure ulcer risk in health care settings. Selected psychometric properties have been tested using various methods of classical test theory in international studies. However, limited information on construct validity is available.
Aim was to determine if the Braden subscale items correlate with the construct pressure ulcer risk and whether the construct validity concerning the factor structure of the Braden scale is adequate in acute and long-term settings.
Methods: A quantitative design with secondary analysis of data from one acute (n = 328) and eight long-term care facilities (n = 311) in Austria was used to test construct validity. Data analysis included principal axis factor analysis with Promax rotation and assessment of internal consistency, followed by structural equation modeling.
Results: For the acute care setting, a structure equation model with two latent factors and for the long-term care setting with one latent factor was tested according to principal axis factoring results. The Braden subscale items correlated with the construct pressure ulcer risk. Almost all examined model fit indices were within recommended reference values. Thus, the construct validity of the Braden scale was adequate in both settings.
Conclusions: The factor structure in the acute care setting did not match that in the investigated long-term care setting. Further research regarding the construct validity of the Braden scale is therefore necessary.
Regarding the Gap between Prime Numbers
Authors: Thompson Daniel 
Published: February 2024

Abstract
Until now there is no efficient formula for determining the prime numbers. I show an efficient formula that takes only prime number values or multiples of 5, 7 and 11, and results in the successive prime number or a multiple of 5, 7 and 11. It is shown that by performing the same operation on a number that is a multiple of a prime number when using the formula will result in the next successive prime number value. The formula also identifies a pattern allowing mathematicians to begin at any random prime number and find the next successive prime number without fail.
The Assessment of Methods for Preimplantation Genetic Testing for Aneuploidies (PGT-A) Using a Universal Parameter: Implications for Costs and Mosaicism Detection
Authors: Belyaev Alexander , Tofilo Maria , Popov Sergey , Mazunin Ilya , Fomin Dmitry 
Published: February 2024

Abstract
Preimplantation genetic testing for aneuploidies (PGT-A) is used to increase live birth rates following in vitro fertilization. The assessment of different PGT-A methods to date has relied on non-universal parameters, e.g., sensitivity and specificity, that are individually stipulated for each study and typically performed using arbitrarily selected cell lines. Here we present an alternative approach that is based on an assessment of the median noise in a large dataset of routine clinical samples. Raw sequencing data obtained during PGT-A testing of 973 trophectoderm biopsies was used for comparison of two methods: VeriSeq PGS (Illumina) and AB-PGT (AB Vector). Three times less median noise was a feature of the AB-PGT method, thereby allowing the number of multiplexed samples per sequencing run to be increased from 24 with VeriSeq PGS to 72 with AB-PGT, thus effectively reducing the price per sample without compromising data quality. The improvement is attributed to a novel SuperDOP whole genome amplification technology combined with a simplified PGT-A protocol. We show that the median noise level associated with a large dataset of biopsies is a simple, universal metric for the assessment of PGT-A methods, which has implications for other screening methods, the detection of mosaicisms, and the improvement of fertility clinics’ practices.
Gender Opposition Recognition Method Fusing Emojis and Multi-features in Chinese Speech
Authors: Zhang Shunxiang , Ma Zichen , Li Hanchen , Liu Yunduo , Chen Lei , Li Kuan-Ching 
Published: February 2024

Abstract
Speech with gender opposition on the internet have been causing antagonism, gamophobia, and pregnancy phobia among young groups. Recognizing gender opposition speech contributes to maintaining a healthy online environment and security in cyberspace. Traditional recognition model ignores the Chinese-owned features and emojis, which inevitably affects the recognition accuracy of gender opposition. To tackle this issue, a gender opposition recognition method fusing emojis and multi-features in Chinese speech(GOR-CS) is proposed. Firstly, the exBERT method is employed to expand the encoding of emojis into the BERT vocabulary, which can ensure BERT to extract the basis vectors containing characters and emojis information. Then, the feature vectors containing Wubi, Zhengma, and Pinyin information are extracted by Word2Vec to obtain the Chinese-owned features of gender opposition text. Further, the proposed basis vector and feature vectors are fused and then fed into the Bi-GRU network to extract deeper semantics from input sentences. Finally, to determine whether the speech are related to gender opposition, the sentiment polarities are calculated with the fully connected layer and SoftMax function. Experimental results show that the proposed method can effectively improve the accuracy of gender opposition recognition.
Evaluation of intensive community care services for young people with psychiatric emergencies: study protocol for a multi-centre parallel group, single-blinded randomised controlled trial with an internal pilot phase.
Authors: Thaventhiran Thilipan , Wong Ben Hoi-Ching , Pilecka Izabela , Masood Saba , Atanda Opeyemi , Clacey Joe , Tolmac Jovanka , Wehncke Leon , Romaniuk Liana , Heslin Margaret , Tassie Emma , Chu Petrina , Bevan-Jones Rhys , Woolhouse Ruth , Mahdi Tauseef , Dobler Veronika Beatrice , Wait Mandy , Reavey Paula , Landau Sabine , Byford Sarah , Zundel Toby , Ougrin Dennis 
Published: February 2024

Abstract
Background
Over 3,000 young people under the age of 18 are admitted to Tier 4 Child and Adolescent Mental Health Services (CAMHS) inpatient units across the UK each year. The average length of hospital stay for young people across all psychiatric units in the UK is 120 days. Research is needed to identify the most effective and efficient ways to care for young people (YP) with psychiatric emergencies. This study aims to evaluate the clinical effectiveness and cost-effectiveness of intensive community care service (ICCS) compared to treatment as usual (TAU) for young people with psychiatric emergencies.
Methods
This is a multicentre two-arm randomized controlled trial (RCT) with an internal pilot phase. Young people aged 12 to < 18 considered for admission at participating NHS organisations across the UK will be randomized 1:1 to either TAU or ICCS. The primary outcome is the time to return to or start education, employment, or training (EET) at six-months post randomisation. Secondary outcomes will include evaluations of mental health and overall well-being and patient satisfaction. Service use, and costs and cost-effectiveness will also be explored. Intention-to-treat analysis will be adopted. The trial is expected to be completed within 42 months, with an internal pilot phase in the first 12 months to assess the recruitment feasibility. A process evaluation using visual semi-structured interviews will be conducted with 42 young people and 42 healthcare workers.
Discussion
This trial is the first well-powered randomised controlled trial evaluating the clinical and cost-effectiveness of ICCS compared to TAU for young people with psychiatric emergencies in Great Britain.
Trial registration : ISRCTN: ISRCTN42999542
An extended w-test for outlier diagnostics in linear models
Authors: Yu Yangkang , Yang Ling , Shen Yunzhong 
Published: February 2024

Abstract

The issue of outliers has been a research focus in the field of geodesy. Based on a statistical testing method known as the w-test, data snooping along with its iterative form, iterative data snooping (IDS), is commonly used to diagnose outliers in linear models. However, in the case of multiple outliers, it may suffer from the masking and swamping effects, thereby limiting the detection and identification capabilities. This contribution is to investigate the cause of masking and swamping effects and to propose a new method to mitigate these phenomena. First, based on the data division, an extended form of the wtest with its reliability measure is proposed, and a theoretical reinterpretation of data snooping and IDS is provided. Then, to alleviate the effects of masking and swamping, a new outlier diagnostic method and its iterative form are presented, namely data refining and iterative data refining (IDR). In general, if the total observations are initially divided into an inlying set and an outlying set, data snooping can be considered a process of selecting outliers from a preset inlying set to the outlying set. In contrast, data refining is then a reverse process to transfer inliers from an outlying set to the inlying one. Both theoretical analysis and application examples show that IDR would keep stronger robustness than IDS due to the alleviation of masking and swamping effect, although it may pose a higher risk of precision loss when dealing with insufficient data.
Pareto-Principle in Rare Disease Education: Assessing the representation of ’common’ rare diseases in medical education and coding systems
Authors: Berger Alexandra , Grimm Kai Lars , Noll Richard , Wagner Thomas OF 
Published: February 2024

Abstract

Background: The Pareto Principle asserts that a large portion of results can be achieved with a small amount of effort. Wakap et al. found that around 80% of individuals with rare diseases (RD) suffer from one of 149 specific rare diseases. A significant challenge in the RD domain is the lack of information, compounded by the fact that most RD are not specifically codifiable in the ICD-10, leading to a deficit in reliable epidemiological data. Additionally, time constraints in medical education hinder the comprehensive teaching of all RD, contributing to the diagnostic odyssey problem through failure of recognizing diseases.
We identified the most and second most prevalent RD (prevalences of 1-5/10,000 and 1-9/100,000, respectively) from the Orphanet Epidemiology File, totaling 454 diseases. We investigated the feasibility of specific coding using ICD-10-GM and whether these diseases were explicitly listed in the subject catalog (GK) of the second state examination in human medicine in Germany. A two-sided chi-square test was employed to identify statistically significant differences between prevalence groups.
Results: Out of 454 diseases, a total of 34% could be specifically coded in ICD-10-GM, with 49% of diseases in the 1-5/10,000 prevalence range (153 RD) and 26% in the 1-9/100,000 range (301 RD) having specific codes. Approximately 15% of all investigated diseases were part of the GK, with 25% of the most prevalent and 10% of the second most prevalent RD group, respectively. Statistically significant differences were observed between prevalence groups concerning the presence of a specific ICD-10-GM code and inclusion in the GK.
Conclusions: Only 49% of the most prevalent RD can be specifically coded, highlighting the challenge of limited epidemiological data on RD. In Germany, the Alpha-ID was introduced in addition to ICD-10 in the inpatient setting to obtain more valid epidemiological data on RD. Recognizing the Pareto Principle's applicability, the study emphasizes the importance of including the most common rare diseases in medical education. While recognizing the limitations, especially in covering ultra-rare diseases, the study underscores the potential benefits of enhancing medical curricula to improve rare disease awareness and diagnostic accuracy.
The role of hemoadsorption in cardiac surgery – a systematic review
Authors: Matejic-Spasic Marijana , Lindstedt Sandra , Lebreton Guillaume , Dzemali Omer , Suwalski Piotr , Folliguet Thierry , Geidel Stephan , Klautz Robert J.M. , Baufreton Christophe , Livi Ugolino , Gunaydin Serdar , Deliargyris Efthymios N. , Wendt Daniel , Thielmann Matthias 
Published: February 2024

Abstract
Background
Despite advancements, cardiopulmonary bypass-assisted cardiac surgery still carries a significant risk for morbidity and mortality, often related to postoperative hyperinflammation. Hemoadsorption of cytokines and various exogenous and endogenous inflammation triggers has been increasingly used in cardiac surgery to mitigate the risk of inflammation-mediated complications. Clinical evidence so far has not provided definite answers concerning this adjunctive treatment. The current systematic review aimed to assess the role of perioperative hemoadsorption in cardiac surgery critically.
Methods
A comprehensive literature search with predefined criteria was conducted. The screening and selection process followed rigorous scientific principles (PRISMA statement). The search terms were chosen by applying neutral search keywords to perform a non-biased systematic search and retrieve all available data.
Results
The search resulted in 29 publications that were grouped and descriptively analyzed due to the remarkable variability in study designs, however, they all reported exclusively on CytoSorbâ therapy. CytoSorbâ use was proven feasible and safe with no unanticipated device-related adverse events reported in the retrieved articles. The most frequently reported clinical outcome associated with hemoadsorption was reduced vasopressor demand resulting in better hemodynamic stability.
Conclusions
The role of hemoadsorption in cardiac surgery seems to be justified in selected high-risk cases in infective endocarditis, aortic surgery, heart transplantation, and emergency surgery of patients under antithrombotic therapy, as well as in those who develop a dysregulated inflammatory response, vasoplegia, or septic shock postoperatively. Current evidence suggests limited value from CytoSorb® use in routine elective surgery and low-risk patients. Further evaluation in more extensive prospective trials is required concerning proper patient selection and postoperative timing and administration.
A novel molecular classification based on TP53 mutation to predict bladder cancer prognosis and immunotherapy efficacy
Authors: Wang Hongyuan , Li RongQi , Lei Xiao-Hang , Lv Wei-Chao , Zhang Wei , Zhang Jianguo 
Published: February 2024

Abstract
Background
The efficacy of TP53, the most widely researched mutation genetic genes in tumor, in tumor metabolic reprogramming remains unclear.
Methods
The differential analysis of gene expression data information of TP53 mutation and TP53 wild-type patients were conducted to identify TP53 mutation-associated metabolic genes (TMGs), which were used to identify and verify a TP53 mutation-associated metabolic signature (TMMS). Comprehensive bioinformatics analyses were performed to explore biological interpretability and clinical application value of TMMS.
Results
According to TP53 mutation, 218 TMGs were detected. The TMMSscore including GFPT2, ATP6V1C2, IMPDH1, CKMT2, PPT2, CAD, HNMT, INPP1 and PLCH1 genes were constructed and verified to determine a low TMMSscore group, which showed more favorable prognosis in the TCGA and GEO cohort compared to a high TMMSscore group. The high TMMSscore group contained more reprogrammed metabolic pathways, which had glycan-related metabolism and less immune infiltration. The low TMMSscore group showed more immune cell infiltration, which included anti-tumor cells in BC, for instance CD8(+) T cells, Treg cells and less metabolic reprogramming. In two immunotherapy cohorts of anti-PD-1 treated lung and kidney cancers, TMMSscore was used to distinguish a low TMMSscore group with better immunotherapy efficacy from a high TMMSscore group and identify a key differentially expressed genes (DEGs) termed COL1A2. In immunohistochemistry experiments on three tumor tissue samples and three normal tissue samples from three bladder cancer patients, COL1A2 showed high expression characteristics in tumors.
Conclusions
The TMMS based on metabolic genes affected by TP53 mutations predicted the prognosis of BC and develop a guiding strategy for immune checkpoint therapy. This research brought a new insight into the involvement of TP53 mutations in tumor metabolic reprogramming.