bluuebunny/crossref_metadata_2025_split huggingface dataset:
Крафтові сиров’ялені ковбаси з додаванням червоного сухого вина
Authors: КРИЖАК Лілія 
Published: June 2024

Ферментація – це традиційний процес, який широко використовувався в давнину для захисту харчових продуктів від псування. Цей процес розроблений насамперед для стабілізації швидкопсувних сільськогоспо­дарських продуктів, проте він вийшов за рамки консервування харчових продуктів і став інструментом для надання їм бажаних органолептичних і фізико-хімічних власти­востей. У країнах, що розвиваються, фермен­товані продукти залишаються важливою частиною раціону. Сучасний підхід до якості харчування потребує підвищення поживної цінності харчових продуктів та контролю над псуванням, а також перетворення малоцін­них продуктів на поживні шляхом фермен­тації. Тому нинішній попит на інноваційні та здорові харчові продукти є стимулом для розробки нових ферментованих м’ясних про­дуктів. Застосування деяких оригінальних інгредієнтів, у нашому випадку вина, у тради­ційних рецептурах ферментованих ковбас викликає зацікавленість і бажання харчу­ватися здоровою їжею без використання штучних барвників і підсилювачів смаку. Відтак, метою дослідження є визначення технологічного впливу червоного сухого вина "Сапераві" у поєднанні зі стартовими культурами на якість сировʼялених ковбас. Експериментальні дослідження проведено у виробничих умовах ПП "Зерно". Визначення органолептичних, фізико-хімічних і мікробіо­логічних показників проведено у зразках ковбас, виготовлених за традиційною рецептурою та з додаванням вина 3 і 6% до маси основної сировини. Доведено, що вміст вина у зразках впливав на зниження значень актив­ності води (aw) і залишкових нітритів. Встановлено, що додавання до фаршу 30 мл вина дало змогу створити продукт, який має гарні смакові властивості та разом з тим не має ризиків утворення закалу, що має особливе значення для виробництва. Отже, отримані результати відкривають технологічні можливості використання черво­ного сухого вина "Сапераві" ТМ Aznauri у виробництві сировʼялених ковбас з покра­щеними сенсорними властивостями та показ­никами якості.
Strategi Perpustakaan dalam Memaksimalkan Program Literasi Informasi di Perpustakaan Institut Agama Islam Negeri (IAIN) Palopo
Authors: Nasrullah Nasrullah , Nur Muh. Zulichsan , Mukhtar A. Hijaz 
Published: June 2024

Penelitian ini bertujuan untuk menyelidiki strategi yang digunakan oleh Perpustakaan Institut Agama Islam Negeri (IAIN) Palopo dalam memaksimalkan program literasi informasi mahasiswa. Metode penelitian yang digunakan adalah pendekatan deskriptif kualitatif. Data primer diperoleh melalui observasi langsung dan wawancara mendalam dengan pustakawan yang bertanggung jawab atas program literasi informasi, sedangkan data sekunder dikumpulkan dari dokumen internal perpustakaan dan artikel terkait literasi informasi. Hasil penelitian menunjukkan bahwa perpustakaan IAIN Palopo menggunakan berbagai strategi untuk memaksimalkan literasi informasi mahasiswa. Salah satunya adalah melalui program pendidikan pemustaka yang diselenggarakan bersama acara Pengenalan Budaya Akademik Kampus (PBAK), di mana mahasiswa baru diperkenalkan dengan sistem layanan informasi perpustakaan. Selain itu, perpustakaan juga mengadakan kelas literasi informasi, baik dasar maupun lanjutan, yang bertujuan untuk meningkatkan kemampuan mahasiswa dalam mencari, menemukan, menggunakan, dan mengevaluasi informasi secara kritis. Melalui kelas literasi informasi, mahasiswa diberikan pemahaman tentang berbagai sumber informasi elektronik, seperti website perpustakaan, digital library, OPAC, e-journal, dan repository. Mereka juga dilatih dalam manajemen referensi dan pencegahan plagiarisme. Program-program ini diharapkan dapat membantu mahasiswa dalam mengoptimalkan penggunaan sumber informasi selama masa studi mereka di IAIN Palopo. Implikasi dari penelitian ini adalah bahwa perpustakaan memiliki peran yang penting dalam meningkatkan literasi informasi mahasiswa. Dengan strategi yang tepat, perpustakaan dapat menjadi pusat informasi yang efektif dan membantu mahasiswa dalam mencapai kesuksesan akademik dan profesional. Penelitian ini memberikan kontribusi penting dalam pemahaman tentang bagaimana program literasi informasi dapat diperkuat di lingkungan perguruan tinggi.
Konsumsi BETN, SK, dan Lemak Kasar Kambing Kacang Jantan yang Mengalami Tingkat Pembatasan Pakan yang Berbeda
Authors: Seuk Serlinda Seuk , Nahak Oktovianus R. , Klau Tahuk Paulus 
Published: June 2024

This study aims to determine the consumption of nitrogen free extract (NFE), crude fiber (CF) and extract eter (EE) of male kacang goats in the feed restriction phase after experiencing different levels of feed restriction. The study used an experimental method with a completely randomized design (CRD) which consisted of 3 treatments and 5 replications, namely: T0: Cattle without food restrictions, T1: Cattle were limited to 100% feed according to maintenance life and T2: Cattle were limited to 50% of maintenance life. The results showed that the consumption NFE of natural grass of treatment T0 and T1 was relatively the same, but higher than T2 (P<0.05); conversely the consumption of NFE of concentrate was relatively the same (P>0.05) among the treatments; while the total consumption of NFE of natural grass and concentrate treatment T1 and T2 was relatively the same (P>0.05) and lower (P<0.05) than treatment T0. Consumption CF of natural grass in the T0 and T1 treatments was relatively the same (P>0.05) and higher (P<0.05) than the T2 treatment; On the other hand, the total consumption CF of natural grass and concentrates in the T1 and T2 treatments was relatively the same (P>0.05) and lower (P<0.05) than the T0 treatment. Likewise, the consumption EE of natural grass in the treatment of T0 and T1 was relatively the same (P>0.05) and higher (P<0.05) than treatment T2. The consumption of NFE and CF concentrates from the three treatments was relatively the same (P>0.05); Likewise, the consumption EE of concentrate and total consumption EE of natural grass and concentrate from male kacang goats in the feed restriction phase of the 3 different groups was not significant (P>0.05). Consumption of NFE for each treatment was T0 of 131.66 ± 41.42, T1 of 84.85 ± 38.88 and T2 of 83.70 ± 0.03. Consumption of crude fiber (g/head/day) for each treatment was T0 of 42.89 ± 6.33, T1 of 33.73 ± 9.52 and T2 of 26.96 ± 0.03. Consumption of extract eter (g/head/day) for each treatment was T0 of 5.52 ± 2.24, T1 of 3.23 ± 1.85, and T2 of 3.53 ± 0.00. It can be concluded that the restriction of feed (feed restriction) up to 50% of the maintenance life does hinder the livestock growth process, but does not interfere with the health status of goats (indicated and physiological status are in the normal range).
Gesture dalam Pemecahan Masalah Matematika
Authors: Ruhama Mustafa A. H. 
Published: June 2024

Tujuan penulisan artikel ini adalah untuk menjelaskan klasifikasi gesture dalam pemecahan masalah matematika melalui kajian pustaka. Bagian pertama membahas beberapa pendapat para ahli tentang gesture. Bagian kedua, membahas tentang klasifikasi gesture dalam pembelajaran matematika. Bagian ketiga, membahas tentang langkah-langkah pemecahan masalah matematika. Gesture dalam pemecahan masalah matematika dibahas pada bagian keempat.
Monitoring microplastics in the Seine River in the Greater Paris area
Authors: Stratmann Cleo N. , Dris Rachid , Gasperi Johnny , Buschman Frans A. , Markus Adriaan A. , Guerin Sabrina , Vethaak A. Dick , Tassin Bruno 
Published: June 2024

This data paper presents microplastic (MP) concentration and composition data from four campaigns in a one-year period in the Seine River within the Greater Paris area. Detailed data on MP occurrence, physical water parameters, hydrological conditions, and potential sewer point sources are presented. Initial analysis of the data set shows that MP concentrations were significant (median: 600 particles m−3 and 100 mg m−3) and MP fluxes showed variations across sampling sites and campaigns. Three polymer types (polypropylene - PP, polyethylene - PE, polystyrene - PS) account for 96% of the total number of MP. This dataset provides valuable insights for understanding river MP pollution under anthropogenic pressure.
Sex differences in the effects of aromatherapy on anxiety and salivary oxytocin levels
Authors: Nakajima Daisuke , Yamachi Megumi , Misaka Shingen , Shimomura Kenju , Maejima Yuko 
Published: June 2024

ObjectiveAromatherapy is a holistic healing method to promote health and well-being by using natural plant extracts. However, its precise mechanism of action and influence on the endocrine system remains unclear. Since recent studies reported that a neuropeptide, oxytocin, can attenuate anxiety, we hypothesized that if oxytocin secretion is promoted through aromatherapy, it may improve mood and anxiety. The present study is aimed to investigate the relationship between oxytocin and the effects of aromatherapy with lavender oil on anxiety level, by measuring salivary oxytocin levels in healthy men and women.MethodsWe conducted a randomized open crossover trial in 15 men and 10 women. Each participant received a placebo intervention (control group) and aromatherapy with lavender oil (aromatherapy group). For the aromatherapy group, each participant spent a 30-min session in a room with diffused lavender essential oil, followed by a 10-min hand massage using a carrier oil containing lavender oil. Anxiety was assessed using the State-Trait Anxiety Inventory (STAI) before the intervention, 30-min after the start of intervention, and after hand massage, in both groups. Saliva samples were collected at the same time points of the STAI.ResultsIn women, either aromatherapy or hand massage was associated with a reduction in anxiety levels, independently. Moreover, salivary oxytocin levels were increased after aromatherapy. On the other hand, in men, anxiety levels were decreased after aromatherapy, as well as after hand massage, regardless of the use of lavender oil. However, there were no significant differences in changes of salivary oxytocin levels between the control and aromatherapy groups during the intervention period. Interestingly, there was a positive correlation between anxiety levels and salivary oxytocin levels before the intervention, but a negative correlation was observed after hand massage with lavender oil.ConclusionThe results of the present study indicate that in women, aromatherapy with lavender oil attenuated anxiety with increase in oxytocin level in women, whereas in men, there was no clear relationship of aromatherapy with anxiety or oxytocin levels but, there was a change in correlation between anxiety and oxytocin. The results of the present study suggest that the effect of aromatherapy can vary depending on sex.
Risk factors of acute ischemic stroke and the role of angiotensin I in predicting prognosis of patients undergoing endovascular thrombectomy
Authors: Yang Shengkai , Li Kemian , Huang Zhengqian , Xu Yingda , Liang Jingshan , Sun Yong , Li Aimin 
Published: June 2024

PurposeThe interaction between the renin-angiotensin system (RAS) and the acute ischemic stroke (AIS) is definite but not fully understood. This study aimed to analyze the risk factors of AIS and explore the role of serum indicators such as angiotensin I (Ang I) in the prognosis of patients undergoing endovascular thrombectomy (EVT).Patients and methodsPatients with AIS who underwent EVT and healthy controls were retrospectively enrolled in this study, and the patients were divided into a good or a poor prognosis group. We compared Ang I, blood routine indexes, biochemical indexes, electrolyte indexes, and coagulation indexes between patients and controls. We used univariate and multivariate logistic regression analyses to evaluate possible risk factors for AIS and the prognosis of patients undergoing EVT. Independent risk factors for the prognosis of patients undergoing EVT were identified through multifactorial logistic regression analyses to construct diagnostic nomograms, further assessed by receiver operating characteristic curves (ROC).ResultsConsistent with previous studies, advanced age, high blood glucose, high D-dimer, and high prothrombin activity are risk factors for AIS. In addition, Ang I levels are lower in AIS compared to the controls. The level of Ang I was higher in the good prognosis group. Furthermore, we developed a nomogram to evaluate its ability to predict the prognosis of AIS after EVT. The AUC value of the combined ROC model (Ang I and albumin-globulin ratio (AGR)) was 0.859.ConclusionsIn conclusion, advanced age, high blood glucose, high D-dimer, and high prothrombin activity are risk factors for AIS. The combined Ang I and AGR model has a good predictive ability for the prognosis of AIS patients undergoing arterial thrombectomy.
Automatic prediction of non-iodine-avid status in lung metastases for radioactive I131 treatment in differentiated thyroid cancer patients
Authors: Gao Xinyi , Chen Haoyi , Wang Yun , Xu Feijia , Zhang Anni , Yang Yong , Gu Yajia 
Published: June 2024

ObjectivesThe growing incidence of differentiated thyroid cancer (DTC) have been linked to insulin resistance and metabolic syndrome. The imperative need for developing effective diagnostic imaging tools to predict the non-iodine-avid status of lung metastasis (LMs) in differentiated thyroid cancer (DTC) patients is underscored to prevent unnecessary radioactive iodine treatment (RAI).MethodsPrimary cohort consisted 1962 pretreated LMs of 496 consecutive DTC patients with pretreated initially diagnosed LMs who underwent chest CT and subsequent post-treatment radioiodine SPECT. After automatic lesion segmentation by SE V-Net, SE Net deep learning was trained to predict non-iodine-avid status of LMs. External validation cohort contained 123 pretreated LMs of 24 consecutive patients from other two hospitals. Stepwise validation was further performed according to the nodule’s largest diameter.ResultsThe SE-Net deep learning network yielded area under the receiver operating characteristic curve (AUC) values of 0.879 (95% confidence interval: 0.852–0.906) and 0.713 (95% confidence interval: 0.613–0.813) for internal and external validation. With the LM diameter decreasing from ≥10mm to ≤4mm, the AUCs remained relatively stable, for smallest nodules (≤4mm), the model yielded an AUC of 0.783. Decision curve analysis showed that most patients benefited using deep learning to decide radioactive I131 treatment.ConclusionThis study presents a noninvasive, less radioactive and fully automatic approach that can facilitate suitable DTC patient selection for RAI therapy of LMs. Further prospective multicenter studies with larger study cohorts and related metabolic factors should address the possibility of comprehensive clinical transformation.
Evaluation of electrical load demand forecasting using various machine learning algorithms
Authors: Jain Akanksha , Gupta S. C. 
Published: June 2024

The energy sector heavily relies on a diverse array of machine learning algorithms for power load prediction, which plays a pivotal role in shaping policies for power generation and distribution. The precision of power load prediction depends on numerous factors that reflect nonlinear traits within the data. Notably, machine learning algorithms and artificial neural networks have emerged as indispensable components in contemporary power load forecasting. This study focuses specifically on machine learning algorithms, encompassing support vector machines (SVMs), long short-term memory (LSTM), ensemble classifiers, recurrent neural networks, and deep learning methods. The research meticulously examines short-term power load prediction by leveraging Chandigarh UT electricity utility data spanning the last 5 years. The assessment of prediction accuracy utilizes metrics such as normalized mean square error (NMSE), root mean squared error (RMSE), mean absolute error (MAE), and mutual information (MI). The prediction results demonstrate superior performance in LSTM compared to other algorithms, with the prediction error being the lowest in LSTM and 13.51% higher in SVMs. These findings provide valuable insights into the strengths and limitations of different machine learning algorithms. Validation experiments for the proposed method are conducted using MATLAB R2018 software.
Evaluation of cholera surveillance systems in Africa: a systematic review
Authors: Mercy Kyeng , Pokhariyal Ganesh , Takah Fongwen Noah , Kivuti-Bitok Lucy 
Published: June 2024

IntroductionDespite several interventions on the control of cholera, it still remains a significant public health problem in Africa. According to the World Health Organization, 251,549 cases and 4,180 deaths (CFR: 2.9%) were reported from 19 African countries in 2023. Tools exist to enhance the surveillance of cholera but there is limited evidence on their deployment and application. There is limited evidence on the harmonization of the deployment of tools for the evaluation of cholera surveillance. We systematically reviewed available literature on the deployment of these tools in the evaluation of surveillance systems in Africa.MethodThree electronic databases (PubMed, Medline and Embase) were used to search articles published in English between January 2012 to May 2023. Grey literature was also searched using Google and Google Scholar. Only articles that addressed a framework used in cholera surveillance in Africa were included. The quality of articles was assessed using the appropriate tools. Data on the use of surveillance tools and frameworks were extracted from articles for a coherent synthesis on their deployment.ResultA total of 13 records (5 frameworks and 8 studies) were fit for use for this study. As per the time of the study, there were no surveillance frameworks specific for the evaluation of surveillance systems of cholera in Africa, however, five frameworks for communicable diseases and public health events could be adapted for cholera surveillance evaluation. None (0%) of the studies evaluated capacities on cross border surveillance, multisectoral one health approach and linkage of laboratory networks to surveillance systems. All (100%) studies assessed surveillance attributes even though there was no synergy in the attributes considered even among studies with similar objectives. There is therefore the need for stakeholders to harmoniously identify a spectrum of critical parameters and attributes to guide the assessment of cholera surveillance system performance.
Management of pregnancy in women with monogenic diabetes due to mutations in GCK, HNF1A and HNF4A genes
Authors: Crowley M. T. , Paponette B. , Bacon S. , Byrne M. M. 
Published: June 2024

Women with maturity-onset diabetes of the young (MODY) need tailored antenatal care and monitoring of their offspring. Each MODY subtype has different implications for glycaemic targets, treatment choices and neonatal management. Hyperglycaemia of MODY is often first diagnosed in adolescence or early adulthood and therefore is clinically relevant to pregnant women. MODY remains an under-recognised and undiagnosed condition. Pregnancy represents an opportune time to make a genetic diagnosis of MODY and provide precision treatment. This review describes the nuance of antenatal care in women with MODY and the implications for pregnancies affected by a positive paternal genotype. Mutations in hepatic nuclear factor 1-alpha (HNF1A) and 4-alpha (HNF4A) genes are associated with progressive β-cell dysfunction resulting in early onset diabetes. Patients are largely managed with sulphonylureas outside of pregnancy. Macrosomia and persistent neonatal hypoglycaemia are reported in 54% and 15% of HNF4A genotype positive offspring respectively with a median increase in birthweight of 790 g. Close observation of foetal growth in utero allows optimal timing of delivery to minimise peri- and postpartum materno-foetal complications. Glucokinase (GCK)-MODY causes mild fasting hyperglycaemia which does not require treatment outside of pregnancy. Birthweight of offspring of maternal carriers is dependent on foetal genotype; heterozygous mutation carriers are usually normal weight while genotype negative offspring are large for gestational age (600 g heavier). Affected offspring of paternal carriers may be small for gestational age (500 g lighter). Serial growth scans with measurement of the abdominal circumference indirectly differentiate foetal genotype. Measurement of cell free foetal DNA in maternal blood from the late first trimester is superior to traditionally used ultrasound to distinguish foetal genotype. Cost and accessibility may limit its use.
Comparison of the classifiers based on mRNA, microRNA and lncRNA expression and DNA methylation profiles for the tumor origin detection
Authors: Feng Yun , Wang Yilin 
Published: June 2024

BackgroundTumor tissue origin detection is of great importance in determining the appropriate course of treatment for cancer patients. Classifiers based on gene expression and DNA methylation profiles have been confirmed to be feasible and reliable to predict the tumor primary. However, few works have been performed to compare the performance of these classifiers based on different profiles.MethodsUsing gene expression and DNA methylation profiles from The Cancer Genome Atlas (TCGA) project, eight machine learning methods were employed for the tumor tissue origin detection. We then evaluated the predictive performance using DNA methylation, mRNA, microRNA (miRNA) and long non-coding RNA (lncRNA) expression profiles in a comparative manner. A statistical method was introduced to select the most informative CpG sites.ResultsWe found that LASSO is the most predictive models based on various profiles. Further analyses indicated that the results derived from DNA methylation (overall accuracy: 97.77%) are better than those derived from mRNA expression (overall accuracy: 88.01%), microRNA expression (overall accuracy: 91.03%) and lncRNA expression (overall accuracy: 95.7%). It has been suggested that we can achieve an overall accuracy &gt;90% using only 1,000 methylated CpG sites for prediction.ConclusionIn this work, we comprehensively evaluated the performance of classifiers based on different profiles for the tumor origin detection. Our findings demonstrated the effectiveness of DNA methylation as biomarker for tracing tumor tissue origin using LASSO and neural network.