bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multimorbidity Screening Program Enhances Management of Chronic Inflammatory Rheumatism Patients
Authors: Decarriere Guillaume , Jaussent Audrey , Mouterde Gaël , Lukas Cédric , Gaujoux-Viala Cécile , Combe Bernard , Morel Jacques , Daien Claire 
Published: August 2024

Abstract

Background
A program was established at Montpellier University Hospital to screen and prevent multimorbidities in chronic inflammatory rheumatism. To evaluate the impact of this program, we conducted a systematic follow-up reassessment. The study aimed to assess the application of initial assessment recommendations and variations in clinico-biological parameters.
Methods
The application of the initial recommendations was evaluated during a systematic standardized visit with the first 198 patients reassessed.
Results
The median time from initial screening to the follow-up visit was 24 months (interquartile range = [12; 36]). At the initial workup, a mean of 3.69 ± 1.72 recommendations (/11) were issued per patient (n = 192). The mean number of recommendations implemented was 2.53 ± 1.46 per patient. Initial recommendations were applied in 60/110 (54.5%) patients with lipid levels above the target, in 30/34 (88.2%) with high blood pressure, and in 18/22 (81.8%) with hyperglycemia. In addition, 79/128 (61.7%) of patients followed vaccination recommendations and 64/103 (62.1%) updated their cancer screening. Overall, 19/60 (31.6%) patients stopped smoking. Levels of low-density lipoprotein and total cholesterol decreased significantly for patients with an initial cholesterol recommendation (-0.23 ± 0.38 g/l, p = 0.01, n = 26; -0.25 ± 0.47 g/l, p = 0.03, n = 21).
Conclusion
The medium-term evaluation of the screening and prevention program demonstrates the good application of recommendations and objective improvement of several multimorbidity criteria.
Molecular systematics and phylogenetic relationship of Amanita (Amanitaceae) based on complete mitochondrial genome
Authors: Wang Xianyi , Xu Guangyin , Tao Jiawei , Wang Guoyu , Guo Zhongyao , Luo Huangxue , Li Guihong , Liu Hongmei , Deng Chunying , Wu Yuanming 
Published: August 2024

Abstract

Background
Amanita is a large genus with extremely rich biodiversity. In its close relationship with humans, more than 90% of the mushroom poisoning events result from the species of this genus. Due to the abundance of the species of Amanita, and the morphological features being relatively conservative, it is difficult to distinguish the species between toxic and edible.
Results
To provide molecular markers and explore the phylogenetic relationship of Amanita genus. We sequenced and analyzed the mitogenomes (Mitochondrial genome) of five Amanita species, and performed a comparative mitogenome analysis combined with the nine published Amanita mitogenomes. In addition, we predicted the introns, repeat sequences, AT-skew, GC-skew, and tRNA (Transfer RNA) for five Amanita species. Four phylogenetic trees of ML (Maximum likelihood) and BI (Bayesian inference) were constructed based on different datasets of 15 PCGs (Protein coding genes) of 55 species, the results showing that this genus was divided into two subgenera, with ectomycorrhizal species and asymbiotic species clustered into one each. Among the 14 Amanita species, the branches and the taxonomic status of all species of Amanita, except A. pseudoporphyria, were identical to the current taxonomic status.
Conclusions
We believe that after a certain amount of mitogenome accumulation, toxic and edible species between the gene rearrangement rules and in its phylogenetic relationship present different distributions. This study provides molecular data for macrofungal studies.
A segmented trial-and-error algorithm for optimized operation of water storage projects
Authors: Jin Xinya , Zhou Hailong , Yao Yuelai , Luo Tangsong , Zhang Yu 
Published: August 2024

ABSTRACT
Mathematical programming methods and modern intelligent algorithms are used to solve the optimized operation models of water storage projects. Classical mathematical programming methods are prone to the curse of dimensionality when the size of the system increases. Intelligent algorithms improve the computational efficiency to a certain extent, but still suffer from defects such as unstable optimized solutions and easy to fall into local optimizers. In this article, a segmented trial-and-error algorithm is proposed to obtain the global optimizer while considering computational efficiency. First, a water balance constraint is introduced into the objective function and a Lagrangian function is constructed to derive the ideal optimizer. Constraints are then gradually introduced and the optimized model is solved by iterative trial-and-error calculations. By approximating the ideal optimizer by segments in this way, the global optimizer is finally obtained. Numerical experiments were carried out in a water supply reservoir. The results show that the segmented trial-and-error algorithm can obtain the global optimizers in different situations with objective functions that are 0.0028–0.0076 lower than those of the genetic algorithm, implying less and more uniform water shortages. The segmented trial-and-error algorithm requires less than 1% of the computational time of the dynamic programming.
Enhanced hydrological drought prediction in the Gediz Basin: integrating meteorological drought via hybrid wavelet-machine learning-random oversampling models using
Authors: Taylan Emine Dilek 
Published: August 2024

ABSTRACT

In study, meteorological drought ​​was used to estimate the potential hydrological drought that may occur in the Gediz Basin of Turkey. For this purpose, the most effective stream flow gauging station was determined by looking at the correlation values ​​between the meteorological data obtained from the Uşak meteorological station. SPEI values ​​for meteorological drought and SRI values ​​for hydrological drought are calculated for 3-, 6-, 9-, and 12-month periods. Correlation matrices were created between meteorological drought inputs from SPEI(t) to SPEI(t-12) and SRI(t) for use in hydrological drought models for 3-, 6-, 9- and 12-month periods. ML models were developed considering correlation matrices and it was seen that ML model results were not sufficient. For this reason, W-ML models were developed by applying DWT and Optuna hyperparameter analysis. It has been observed that the performance of W-ML models increases. Random oversampling (ROS), which has never been used in drought modeling, was then applied to W-ML models. W-ML-ROS model obtained an R2 value of 0.999 for testing set in 12-month period. Similarly, R2 values ​​for SRI3, SRI6 and SRI9 were obtained as 0.893, 0.851, and 0.940, respectively. Results showed that W-ML-ROS hybrid models can be used to predict hydrological drought from meteorological drought.
Utilizing machine learning techniques for enhanced water quality monitoring
Authors: Özsert Yiğit Gözde , Baransel Cesur 
Published: August 2024

ABSTRACT

Water quality is an important issue for environmental health. It directly impacts human well-being, ecosystem sustainability and socioeconomic development. This paper provides an overview for water quality assesment by integrating traditional methods with computational technology. Dimensionality reduction is considered an essential preprocessing step in any data analysis task which can be performed by using either feature selection or feature extraction methods. In this study, we propose an autoencoder-based feature selection method that can be used with both labeled and unlabeled data. It can be implemented with an arbitrary number of hidden layers in the symmetric encoder part of the autoencoder and provides results that compare favorably with the results provided by computationally more expensive methods and also provides a quantitatively ordered rank of features for the features in the dataset. Also, our proposed method for water quality assessment has demonstrated remarkable success in efficiently managing and interpreting complex datasets, offering a promising pathway toward effective environmental stewardship and sustainable water resource management. Through its implementation, we aim to contribute to the preservation and protection of water quality for the benefit of present and future generations.
Crowe's Fraud Pentagon Theory Review Of Fraudulent Financial Statements With Audit Committee Moderation
Authors: Wulan Retnowati  , T Sutrisno , Saraswati Erwin , Andayani Wuryan 
Published: August 2024

Purpose—This study aims to analyze the Pentagon fraud theory for detecting fraud in financial statements, with the audit committee as a moderating variable.
Design/methodology/approach — This study's population is manufacturing companies listed on the Indonesia Stock Exchange in 2018-2020. The research sample is 198, comprising 66 company annual reports for three years. The analysis technique used in this study is multiple linear regression and uses the MRA (Moderating Regression Analysis) method through IBM SPSS version 26 software.
Findings—The results showed that the variables of pressure and arrogance influenced fraud in financial statements, while the variables of opportunity, rationalization, and competence did not. The pressure and opportunity variables affect fraud in financial statements after being moderated by the audit committee variable, while the rationalization, competency, and arrogance variables have no effect.
Practical implications — Practical benefits for stakeholders as a source of information regarding factors that can be detected as a cause of fraud in financial statements. That is expected to avoid or minimize fraud and fraudulent financial statements, which can later develop and harm many parties, especially business people.
Originality/value — The difference between this study and previous research lies in using variables, research objects, research periods, and measurements that previous researchers have not carried out.
Paper type — Research paper
Analyzing the Impact of Economic Performance on the Interplay between Financial Management Strategies and Profitability in the Iraqi Context
Authors: AL-Hashimy Hisham Noori Hussain , Jinfang Yao 
Published: August 2024

Purpose - This study examines how economic performance affects financial management approaches and profitability in Iraq's construction business. This research examines how financial management strategies affect profitability and economic success.
Design/Methodology/Approach—Construction project and site managers in Iraq were surveyed online for the study. Given the scope and magnitude of the research, this study's 85.3% response rate is impressive. In-depth statistical analysis was performed using Partial Least Squares Structural Equation Modelling (PLS-SEM), which examined economic performance, financial management, and profitability.
Findings - The instance indicates that the lack of organization-wide integrated systems, common across enterprises, contributes to this problem. The major issue is that the organization's information systems strategy never expressly prioritizes KM-enabling schemes.
Practical Implications—The study's conclusions have major practical ramifications. Iraqi enterprises should prioritize resource optimization, cost control, and strategic financial planning to improve economic performance. In addition, governments should promote building projects through incentives, subsidies, and tax policies that boost economic productivity and profitability. These policies are available here.
Originality/Value—This study adds to the literature by stressing economic performance as a mediator between financial management methods and profitability in Iraq's construction sector. It examines the dynamics of this link in Iraq's building sector. With the new data, firms may improve financial performance by making informed judgments and using efficient financial management procedures.
Pengaruh Promosi, Citra Merek dan Kepercayaan Merek Terhadap Minat Beli Ulang
Authors: Indira Efi Zela Rista Anisa , Basuki Ananto 
Published: August 2024

This study is discusses how promotion, brand image and brand trust affect repurchase intention, but it is undeniable that there are still several other influences that are not studied by researchers that also affect repurchase intention. The objective of this explanatory research is to identify the effects of promotion, brand image, and brand trust on the intention of Universitas Brawijaya's students to make repurchases via Tokopedia. This research method uses quantitative research and explanatory research. The samples are 101 Tokopedia users selected using purposive sampling technique. The data was shared by social media and harvested from Google Forms and was analyzed using multiple linear regression in SPSS 25. This study finds that promotion, brand image, and brand trust positively and significantly affect the students' intention to repurchase goods via Tokopedia. In this study, promotion variables were the most influential on repurchase intention. It can be concluded that the promotion carried out by Tokopedia has been very effective and it cause increased intention in repurchase.

Abstrak
Dalam penelitian ini membahas bagaimana promosi, citra merek dan kepercayaan merek berpengaruh terhadap minat beli ulang, tetapi tidak dipungkiri masih terdapat beberapa pengaruh lainnya yang tidak diteliti oleh peneliti yang juga berpengaruh terhadap minat beli ulang. Penelitian ini bertujuan untuk mengetahui pengaruh dari promosi, citra merek, dan kepercayaan merek terhadap minat beli ulang di Tokopedia pada mahasiswa Universitas Brawijaya. Metode penelitian ini menggunakan penelitian kuantitatif dan penelitian eksplanatori. Dalam penelitian ini sampel yang digunakan adalah sebanyak 101 pengguna Tokopedia dengan penyebaran kuesinoner dilakukan secara daring melalui media sosial menggunakan google form dan menggunakan teknik purposive sampling. Analisis data yang dilakukan menggunakan analisis regresi linier berganda menggunakan SPSS 25. Hasil dari penelitian ini menunjukkan bahwa promosi, citra merek, dan kepercayaan merek berpengaruh secara positif dan signifikan terhadap minat beli ulang di Tokopedia pada mahasiswa Universitas Brawijaya. Pada penelitian ini, variabel promosi paling berpengaruh pada minat beli ulang. Maka dapat disimpulkan bahwa promosi yang dilakukan oleh Tokopedia sudah sangat efektif, sehingga dapat menyebabkan meningkatnya minat beli ulang.
Effects of explants and culture medium compositions on quality of chrysanthemum ‘Jayanti Agrihorti’ rooted cuttings
Authors: Shintiavira Herni , Pramanik Dewi , Daniyanti Ratna Dewi , Pertiwi Miranti Dian , Rachmawati Fitri 
Published: August 2024

'Jayanti Agrihorti' is a superior chrysanthemum therefore rooted cuttings quality is required. In vitro propagation increases the rate of propagation and produces true-to-type plants. The research to obtain the best explants and culture medium composition that is capable of producing high-quality plants. The research was arranged in a randomized complete block design consisting of two factors. The first factor was the explant, including the apical shoot of 0.5 cm, 1.0 cm, and the nodal segment. The second factor was in vitro culture medium composition (CP), consisting of CP1 (Murashige and Skoog (MS) medium for initiation, followed by MS + 2.5 mg.L⁻¹ gibberellic acid (GA₃) for subculture), CP2 (MS + 0.25 mg.L⁻¹ benzyl amino purine (BAP) for initiation, followed by MS for subculture), CP3 (MS + 0.25 mg.L⁻¹ BAP for initiation, followed by MS + 2.5 mg.L⁻¹ GA₃ for subculture), and CP4 (MS + 0.5 mg.L⁻¹ BAP for initiation, followed by MS + 0.25 mg.L⁻¹ BAP for subculture). Acclimatization was performed after third subculture. The apical shoot size of 0.5−1.0 cm is optimum for producing chrysanthemum-rooted cuttings. Meanwhile, MS medium for initiation stage, followed by MS + 2.5 mg.L⁻¹ GA₃ for subculture is the best culture medium composition for in vitro propagation. This explant and culture medium composition produced higher chlorophyll a, b, and a+b content, thereby resulting in higher plant, more leaves, larger stem diameter, and longer root length. This are recommended for chrysanthemum propagation, particularly in 'Jayanti Agrihorti'.
PENGEMBANGAN PASAR DAN PROMOSI PEMASARAN MELALUI MEDIA ONLINE BAGI UKM PERMATA KOPI DESA PASIR ANGIN KECAMATAN DARANGDAN
Authors: Jaenudin Jejen , Maulana Indra , Faridoh Neni 
Published: August 2024

Micro, Small, and Medium Enterprises must have competitiveness in order to survive. One strategy to increase competitiveness is to use the right marketing media that combines offline (conventional) and online marketing media. The marketing media owned by Permata Coffee Micro, Small, and Medium Enterprises were previously still conventional, namely offline, so market growth was also very slow. This community service aims to help Permata Coffee complete its promotional media with online promotional media to expand its market share and accelerate its growth. The stages carried out are analysis of e-commerce platforms, registration, training, and assistance in using e-commerce platforms, as well as monitoring and recapitulation of sales results through the e-commerce platforms. As a result of carrying out this activity, Permata Coffe already has an official account on social media and a shop on the e-commerce platform. Permata Coffee has also been able to increase its coffee sales by selling to several cafes in Purwakarta. Keywords: marketing media; e-commerce platforms; promotion; Micro small and Medium Enterprises
Update of the COVID-19 Incidence Forecast with the Overlap of Seasonal Flu Outbreaks
Authors: Azimova N. N. , Zairova D. Kh. , Ermakov A. S. , Ladosha E. N. 
Published: August 2024

Introduction. The emergence of new vector-borne diseases necessitates the development of adequate medical regulations, prevention measures, rehabilitation programs, etc. Among all these measures, timeliness is the most crucial element, which cannot be achieved without reliable forecasting of the epidemic situation. In fact, the situation can deteriorate when two epidemics occur simultaneously, emphasizing the need for predicting the corresponding time intervals accurately. The aim of this study is to scientifically predict the periods when traditional influenza and COVID-19 epidemics may overlap. Materials and Methods. The scientific research was based on the analysis of statistical data, which was processed using Fourier decomposition and autoregression techniques to study and predict various processes. The original mathematical model of COVID-19 dynamics was adjusted with new statistical data. The resulting scale-time and random characteristics of COVID-19 within the model were compared with known parameters of traditional influenza. Results. It was established that the dynamics of the COVID-19 epidemic had a pronounced seasonal character with a frequency of three times a year. It was found that the method of forecasting COVID-19 incidence using Fourier decomposition was not reliable, but it allowed for a good description of the observed dynamics of the epidemic. Autoregressive analysis, on the other hand, was only suitable for short-term forecasting of coronavirus epidemics. The features of the two seasonal diseases, COVID-19 and influenza, have been compared, and the moments when their combined effects on a person would be particularly harmful have been predicted.Discussion and Conclusion. All methods of mathematical analysis have convincingly demonstrated that the frequency of COVID-19 outbreaks occurs three times per year, while influenza occurs annually. During times when the activities of both viruses (coronavirus and influenza) coincide, special attention should be paid and measures taken to reduce the risk of contracting a seasonal viral infection, including through regular vaccination.
Penyakit ‘Ain dari Perspektif Hadits dan Relevansinya dengan Media Sosial (Kajian Hadits Tematik)
Authors: Sari Amelia Kemala , Zailani Zailani , Usman Usman 
Published: August 2024

Penelitian ini berjudul “Penyakit ‘Ain dari Perspektif Hadits dan Relevansinya dengan Media Sosial (Kajian Hadits Tematik)”. Dalam hadits Nabi shallallahu ‘alaihi wasallam banyak terdapat hadits-hadits mengenai penyakit ‘ain. Penyakit ‘ain berasal dari tatapan yang dilontarkan dengan hati yang hasad dan juga berasal dari kekaguman seseorang yang melihat sesuatu. Penyakit ‘ain dapat merugikan orang-orang yang berada disekeliling kita dan diri sendiri, bahkan penyakit ‘ain dapat terjadi melalui media sosial. Penyakit ‘ain dapat mempengaruhi perasaan dan pikiran yang berdampak negatif bagi kesehatan, dan ‘ain dapat menyebabkan gangguan fisik yang berbahaya hingga mengancam nyawa. Masalah yang diteliti dalam penelitian ini yaitu, bagaimana hakikat penyakit ‘ain perspektif hadits Nabi dan bagaimana relevansi penyakit ‘ain dengan media sosial. Jenis penelitian ini adalah penelitian kualitatif dalam bentuk penelitian perpustakaan (library research). Hasil dari penelitian ini adalah hadits tentang hakikat dari penyakit ‘ain yang diteliti berkualitas shahih. Hakikat dari penyakit ‘ain yaitu, bahwa penyakit ’ain itu benar adanya dan para ulama melarang untuk mengingkarinya, penyakit ‘ain datang dari pandangan dengki dan juga datang dari rasa kagum terhadap seseorang. Hakikat lainnya, penyakit ‘ain dapat mendahului takdir dengan atas izin Allah ta’ala. Relevansi penyakit ‘ain dengan media sosial yaitu, ‘ain dapat timbul dari jiwa seseorang meskipun tanpa melihat langsung, bahkan Ibnu Qayyim mengatakan orang buta pun dapat menimbulkan penyakit ’ain. Jadi penyakit ‘ain dapat terjadi hanya melihat melalui foto atau video tanpa melihat orangnya secara langsung.
Pemikiran Pendidikan Islam K.H. Hasyim Asy’ari
Authors: Anisa Ana Citra , Ismail Muhammad , Abubakar Abubakar , Hamzah Akhyar 
Published: August 2024

Tujuan Penelitian ini adalah untuk mengetahui Pemikiran Pendidikan Islam K.H. Hasyim Asy’ari. Metode yang digunakan dalam penelitian ini adalah metode kualitatif dengan kajian dokumen atau yang dikenal dengan penelitian study literature, dengan cara menelaah jurnal, buku, laporan penelitan, majalah dan literatur lainnya yang sesuai dengan pembahasan yang dikaji dalam penelitian ini. Dalam pengumpulan data kajian study literature, penulis melakukan; Pertama, melalui kajian kepustakaan yang sesuai dengan bahan yang diteliti. Kedua, setelah data diperoleh, maka penulis menganalisis data-data tersebut sesuai dengan pemahaman penulis dalam melakukan kajian ini. Adapun Hasil penelitian ini yaitu Dari pembahasan di atas, maka dapat disimpulkan beberapa hal. Pertama, pemikiran pendidikan KH. Hasyim Asy’ari mengarahkan manusia pada derajat kemanusiannya yang disesuaikan dengan bakat, kemampuan dan potensi yang dimilikinya. Proses ini akan menuju pada kesadaran manusia akan hak dan kewajibannya sebagai makhluk yang diciptakan, hal ini menjadi cikal bakal pendidikan karakter. Kedua, pendidikan pesantren bukan hanya mengajarkan tentang ilmu agama (hadist, ushul fiqh, fiqh dan sebagainya), melainkan harus pula memasukan pengetahuan/ilmu umum ke dalam kurikulumnya sebagai bentuk responsif kebutuhan manusia di zamannya. Karena pada hakikatnya, seorang khalifah dituntut untuk memahami masyarakat secara penuh. Ketiga, dengan memasukkan pengetahuan umum di pesantren maka tidak menutup kemungkinan seluruh elemen yang mengitarinya juga demikian. Dari apek tenaga pengajar dapat mendatangkan dari luar, sarana dan prasarana juga dapat ditopang dengan peralatan teknologi, murid-murid dapat didatangkan dari segala penjuru dan pembentukan lembaga juga dengan model bangunan modern. Keempat, pendidikan karakter harus dilakukan oleh semua pihak, murid, guru, lembaga, lingkungan dan keluarganya. Keempat, lahirnya pemikiran pendidikan KH. Hasyim Asy’ari ini dilatar belakangi oleh beberapa kondisi sosial yang mempengaruhi, antara lain kondisi sosial politik, kondisi sosial keagamaan, dan kondisi sosial pendidikan, sebagaimana yang sudah dijelaskan sebelumnya