bluuebunny/crossref_metadata_2025 huggingface dataset:
Analisis Strategi Pemasaran Biji Kopi Roasting pada Pier Coffee Roasters Di Kota Yogyakarta Daerah Istimewa Yogyakarta
Authors: Bustan Davin Ramadhian , Widowati Indah , Budiarto Budiarto
Published: September 2024

Tujuan penelitian ini adalah 1). Menganalisis kekuatan, kelemahan, peluang, dan ancaman penjualan biji kopi roasting pada Pier Coffee Roasters, 2). Mengetahui strategi pemasaran yang tepat dalam meningkatkan penjualan biji kopi roasting pada Pier Coffee Roasters. Metode penelitian menggunakan metode Deskriptif. Metode penentuan lokasi adalah purposive. Metode pengambilan responden menggunakan metode purposive. Macam data yang digunakan adalah data primer dan data sekunder. Metode pengumpulan data yaitu melalui wawancara, observasi, dokumentasi, studi pustaka, dan kuisioner. Teknik analisis data Evaluasi Faktor Internal (IFE), Evaluasi Faktor Eksternal (EFE), matriks Internal-Eksternal (IE), matriks Strengths, Weakness Opportunities, Threats (SWOT), matriks Quantitative Strategic Planning Matrix (QSPM). Hasil penelitian menunjukan bahwa (1) Faktor internal kekuatan pada Pier Coffee Roasters yaitu Pier Coffee Roasters menggunakan bahan baku biji kopi mentah (green bean) yang berkualitas. Sedangkan faktor internal kelemahan pada Pier Coffee Roasters yaitu Pier Coffee Roasters teknologi peralatan Pier Coffee Roasters yang masih kurang maksimal. Faktor eksternal yang menjadi peluang pada Pier Coffee Roasters adalah teknologi internet sebagai sarana promosi biji kopi roasting. Sedangkan ancaman pada Pier Coffee Roasters adalah bertambahnya usaha yang sejenis. (2) Strategi yang tepat untuk Pier Coffee Roasters adalah melakukan strategi memperluas pengenalan produk biji kopi roasting dengan mengikuti kegiatan pameran kopi sehingga masyarakat luas dapat lebih mengenal produk Pier Coffee Roasters. Kata Kunci: Evaluasi Faktor Internal, Evaluasi Faktor Eksternal, Kopi, Strategi Pemasaran, SWOT, QSPM.
Case Study of a Pancreatic Head Lesion in an Adolescent Female following Abdominal Trauma
Authors: Taves Sandra
Published: September 2024

Pancreatic trauma is rare in adults but has an increased incidence in pediatric patients. A 12-year-old, Southeast Asian patient presented with abdominal trauma to her umbilical region. On sonographic examination, a complex pancreatic head lesion was identified; multiple differentials given were that of a hematoma, walled-off pancreatic necrosis (WOPN), or a solid pseudopapillary epithelial neoplasm. A magnetic resonance imaging, blood analysis, and biopsy of this lesion were non-conclusive. Serial ultrasounds over 94 weeks from date of injury showed a change in the pancreatic echogenicity and correlated with blood work to be pancreatitis; followed by the resolution of the pancreatic head lesion. The lesion was diagnosed as a complication of pancreatic trauma and called a WOPN.
Force calculation and new design of the grip unit pliers metallurgical crane
Authors: Suglobov V.V. , Lavryk V.P. , Shishkin V.V.
Published: September 2024

In the rolling shops of metallurgical enterprises connected with the processing of steel ingots in the preparation (slabbing, blooming) well taps with pincer grabbers are used. Such cranes work in the sections of heating wells, where they are used, first of all, for planting ingots in the well and issuing them for rolling after heating. In addition, cranes can be used to perform auxiliary operations for well maintenance and equipment repair. During the design processing of tong grippers of such cranes, there is a need to determine the ingot clamping forces, which in this gripping device are related to the weight of the ingot itself and the weight of the tongs of the crane. In addition, the design features of the clamping zone itself are of great importance, that is, the design of the parts that transfer the clamping forces to the ingot. These parts are called cores. It is clear that the clamping force and the design of the cores must guarantee reliable retention and safe movement of the ingot. During the operation of the crane, the cores are subjected to a wide range of loads: shock, compressive, crushing loads from impact. At the same time, being in contact with the heated ingot, they themselves heat up to the same temperature. And because they are periodically cooled in tanks with water, they work even in conditions of cyclic heat changes. The design and physical condition of the cores are of great importance for the reliability of the tick gripper. Untimely replacement of cores can lead to negative consequences during ingot retention, cause it to break off with the destruction of the circle, damage to floor equipment and danger to service personnel. Several options for new, more effective designs are proposed in the work based on the force calculation of the pincer gripper and the analysis of the advantages and disadvantages of modern core designs. The authors created a mathematical model of the interaction between the core and the ingot to check the depth of penetration of the core into the body of the ingot and compared it with the indicators of known cores. It was found that at the ingot release temperatures, the depth of penetration into the body of the ingot for cores of the new design is 4 times less than for conventional conical cores. The use of these designs will ensure the reliability of the gripping device while simultaneously improving the quality of the workpiece by reducing the number of cracks and dips associated with damage to the faces of the ingot from deep indentation of the cores
Biogas as an additive to compressed natural gas for vehicle engines
Authors: Symonenko R.V. , Shymanskyi S.I. , Gritsuk I.V. , Pohorletskyi D.S.
Published: September 2024

The article considers the possibility of using biogas for vehicle engines, as an additive to compressed natural gas, and gives the results of experimental studies of environmental indicators and fuel efficiency of a vehicle equipped with a gasoline engine and converted to work on a mixture of biogas and compressed natural gas. Currently, there are many vehicles in operation that operate without feedback on the content of oxygen in the exhaust gases, they run on gasoline and gas motor fuels, in view of this, the results of these studies are very relevant. It has been proven that the use of biogas as motor fuel for vehicle engines reduces the energy dependence on petroleum fuels and reduces emissions of harmful substances in the exhaust gases of the vehicle engine, and the use of biogas as an additive to compressed natural gas will provide an opportunity not to spend additional resources for its purification. The use of biogas as a motor fuel confirms the possibility of its use in traditional constructions of vehicle engine power systems. With simple, reliable and proven production technologies, biogas can become a cost-effective and efficient type of fuel obtained from renewable sources. In this way, it is possible to satisfy these needs by using alternative types of fuels, one of these types of fuels is biogas, which is obtained in the process of anaerobic decomposition of organic waste. Biogas consists of methane CH4, carbon dioxide CO2, small amounts of carbon monoxide CO, hydrogen H2, nitrogen N2, oxygen O2, water vapor H2O and hydrogen sulfide H2S. The possibility of using a mixture of fuels, namely biogas as an additive to compressed natural gas, is substantiated. A comparative analysis of the fuel-economical and environmental performance of the vehicle engine in the modes of the European urban driving cycle was performed while the engine was running on compressed natural gas, a mixture of biogas and compressed natural gas, and liquid petroleum fuel gasoline brand A-92
Becoming Other
Authors: Berliner David
Published: September 2024

Most of us are conscious of having a single and stable self, but the self is more fragmented and plastic than we care to think. David Berliner explores the captivating world of identity through an array of astonishing experiences. From Napoleon doppelgangers to Philip Roth's alter-ego Nathan Zukerman and Wonder Woman cosplayers to anthropologists going native, he delves into the kaleidoscopic nature of the self and attempts to understand the heterogenous nature of identity. But Becoming Other also discusses a great cultural controversy of our time: who has the right to play at being whom?
Subject Lessons
Authors: Forrest John
Published: September 2024

Life histories are a class of oral data distinct from memoirs, autobiography, and conventional history in multiple ways. It is a way to lay out the felt experience of events in people’s everyday lives and not simply the statement of historical facts. As narrated pieces, life histories possess the unique voice of the individuals. Collecting data through life histories enables the interviewer-interviewee to develop a special bond that has the capacity to empower both in different ways. Subject Lessons examines the use of and value in using one’s life history as research within the social sciences.
Vanquished and Victorious
Authors: Šmidrkal Václav , Cole Laurence , Leidinger Hannes , Kučera Rudolf , Walleczek-Fritz Julia , Šustrová Radka
Published: September 2024

Recent research has revised earlier views about the role of veterans of World War One in paramilitary formations, radical nationalism and political extremism in inter-war Europe, yet there remain considerable gaps in our understanding of the role they played in the ‘successor states’ of the Habsburg Empire. Vanquished and Victorious provides an innovative comparative investigation of veterans in Austria and Czechoslovakia, two states whose wider political development was of crucial importance to the question of stability in Central Europe after 1918. While differing in terms of how successfully veterans reintegrated into post-war society, this volume shows that both countries incorporated elements of ‘cultures of victory and defeat’.
3D coordination polymers with N-heterocyclic Ga(I) moieties
Authors: Koptseva Т. S. , Baranov E. V. , Fedushkin I. L.
Published: September 2024

The reactions of bimetallic acenaphthene-1,2-diimine complex [(Dpp-bian-GaCr(CO)5]2- [Na(Thf)2]2(I) (Dpp-bian = 1,2-bis[(2,6-diisopropylphenyl)imino]acenaphthene) with 4,4ʹ-bipyridine (4,4ʹ-Bipy) and 1,3-bis(4-pyridyl)propane (Bpp) in THF gave 3D coordination polymers [{(Dppbian) GaCr(CO)5}{Na(4,4ʹ-Bipy)3}]n(II) and [(Dpp-bian)GaCr(CO)4Na(Et2O)(Bpp)1,5]n(III), respectively. Compounds II and III were characterized by elemental analysis and NMR and IR spectroscopy. The molecular structure of IIwas established by X-ray diffraction (CCDC no. 2278024).
Mononuclear nickel(II) and copper(II) coordination compounds with ligands based on acetyl(benzoyl)acetone S-methylisothiosemicarbazones and 8-quinolinecarboxaldehyde. Synthesis and crystal structure
Authors: Cocu M. А. , Bourosh P. N. , Kravtsov V. K. , Danilescu О. S. , Bulhac I. I.
Published: September 2024

Template condensation of S-methylisothiosemicarbazones of acetyl- or benzoylacetone with 8-quinolinecarboxaldehyde in the presence of nickel(II) and copper(II) ions gave four new mononuclear coordination compounds [NiL1]I (I), [CuL1I] (II), [NiL2]I (III) и [CuL2I] (IV). The chemical composition of the products was confirmed by elemental analysis, IR spectroscopy, and mass spectrometry, and the crystal structure of compounds I and II was determined by X-ray diffraction analysis (CCDC no. 2266386, 2266387). X-ray diffraction study revealed a square planar coordination environment of the central ion of the cationic Ni(II) complex and square pyramidal geometry for the molecular Cu(II) complex.
МІГРАЦІЙНІ РИЗИКИ ТА ЗАГРОЗИ СОЦІАЛЬНО-ЕКОНОМІЧНІЙ РЕЗИЛЬЄНТНОСТІ КРАЇНИ
Authors: МУЛЬСКА Ольга , КАРПА Андрій
Published: September 2024

У статті здійснено концептуально-структурне моделювання міграційних ризиків соціально-економічної резильєнтності території. Міграційні ризики соціально-економічній резильєнтності країни ідентифіковано як системні впливи міграційних процесів на кон’юнктуру ринку праці, ресурсну спроможність економіки відновлювати рівновагу та інвестиційно-фінансову стабільність. Виділено три підходи до трактування поняття «міграційні ризики» (деструктивні ефекти для соціально-економічної резильєнтності території; соціально-економічні, фінансові, демографічні, суспільно-ціннісні, культурні та ін. втрати території; ймовірність генерування нових соціально-економічних, медико-демографічних, політико-правових та релігійно-культурних стимуляторів позитивних міграційних аспірацій серед населення). Виокремлено п’ять груп міграційних ризиків стійкості соціально-економічній системі: міграція робітничих кадрів (трудова міграція); міграція висококваліфікованих кадрів, у т.ч. освітня та академічна міграція («відтік мізків»); рееміграція; міграційні трансферти; неконтрольовані імміграційні процеси. Виділено основні критеріальні ознаки та видові форми міграційних ризиків (масштаби, сфери та канали впливу, рівні виникнення, термін і характер дії, фактори, джерела та причини виникнення, ступінь ризику, форми прояву, ступінь обґрунтованості, сфера походження).
ІННОВАЦІЙНИЙ РОЗВИТОК МАЛОГО ТА СЕРЕДНЬОГО ПІДПРИЄМНИЦТВА
Authors: ЮДІНА Олена , ЗІНЧЕНКО Георгій , ЖИДИК Андрій , ТОВТ Юрій
Published: September 2024

У статті визначено, що інноваційний розвиток малого та середнього підприємництва (МСП) вимагає комплексного підходу, який включає як фінансову, так і технічну підтримку, навчання, а також сприятливі регуляторні умови. Сприяння інноваціям може суттєво підвищити конкурентоспроможність МСП на національному та міжнародному рівнях. У дослідженні розглянуто, що інноваційний розвиток МСП є важливою складовою економічного зростання та конкурентоспроможності. Ось декілька ключових аспектів та стратегій, що можуть сприяти інноваційному розвитку МСП: доступ до фінансування  (гранти та субсидії; венчурний капітал; краудфандинг – збір коштів від великої кількості людей через спеціалізовані платформи); технологічні інновації; підвищення кваліфікації та навчання (навчальні програми, тренінги, семінари, конференції); цифровізація; міжнародна співпраця (експортні програми та партнерства з іноземними компаніями); регуляторна підтримка (пільгове оподаткування та спрощення адміністративних процедур); соціальні інновації (екологічно чисті технології та соціально-відповідальне підприємництво).
Інноваційний розвиток є ключовим фактором, який впливає на успіх та довгострокову життєздатність бізнесу. Інноваційний розвиток є життєво важливим для будь-якого бізнесу, оскільки він забезпечує адаптацію до змін, підвищує ефективність, створює нові можливості для зростання та допомагає компаніям залишатися конкурентоспроможними на ринку. Інвестування в інновації – це інвестиція в майбутнє, що дозволяє бізнесу не тільки виживати, але й процвітати в умовах сучасної економіки. Інноваційний розвиток у сучасних умовах набуває особливого значення через швидкі зміни в технологіях, економічних умовах та суспільстві. В сучасних умовах інноваційний розвиток є необхідністю для бізнесу, що прагне залишатися конкурентоспроможним та адаптивним. Цифрові технології, глобалізація, сталий розвиток та клієнтоорієнтованість створюють нові можливості та виклики. Компанії, які активно інвестують в інновації та підтримують культуру інноваційності, мають більше шансів на успіх у швидко змінюваному світі.
Correlation between self-reported low back pain and morphological changes in abdominal wall muscles
Authors: Zhang Yan , Zhou Xiuling , Zhu Yulan , He Kai , Li Xueqi , Chen Hao , Cheng Yi , Ding Hong
Published: September 2024

BACKGROUND: Morphological changes in the abdominal wall muscle in diastasis recti abdominis (DRA) patients with low back pain (LBP) symptoms and whether there is a wider interrectus distance (IRD) remain unclear. OBJECTIVE: The aim of this study was to determine the correlation between DRA severity and LBP and the morphological differences in abdominal wall muscles between patients who presented with symptoms of LBP and those who were asymptomatic. METHODS: A total of 57 postpartum DRA patients were enrolled, including 21 without LBP, 36 with LBP, and 30 healthy nulliparous women. The numerical rating scale (NRS) was used to evaluate the degree of LBP. The IRD and muscle thickness of the abdominal muscles were measured via an ultrasonography device at the end of a natural breathing cycle. RESULTS: The abdominal muscles of the rectus abdominis (RA), external oblique muscle (EO), and transversus abdominis (TrA) in the DRA patients were significantly thinner than those in the control group (p< 0.05), whereas the difference in the internal oblique muscle (IO) was not significant (p> 0.05). There were no statistically significant differences in abdominal muscle thickness or the IRD regardless of whether the patients with DRA had LBP symptoms, with similar findings between the NRS score and DRA severity (P> 0.05). CONCLUSION: In DRA patients within one year postpartum, no significant difference was found in the severity of DRA or abdominal muscles, regardless of whether they were complicated by LBP symptoms. Shortening the IRD alone may not be beneficial for improving LBP symptoms in DRA patients. The relationship between DRA and LBP and the role of the abdominal muscles in postpartum LBP should be interpreted with caution.
Increase in the specificity of immunoassay methods by direct targeting different epitopes; sequential chain reactions
Authors: Ahmadi Yasin , Ahmadi Hamid , Aghebati-Maleki Leili
Published: September 2024

BACKGROUND:

Immunoassay methods typically involve the use of antibodies, which are either labeled with an enzyme to generate a detectable product or directly tagged with a radioactive or fluorescent substrate.

METHODS:

One approach to enhance the specificity of immuno-detection methods is by employing a combination of different antibodies, such as primary and secondary.

RESULTS:

However, relying solely on one antibody targeting another may not offer the highest level of precision for improving immunoassay specificity; A novel strategy for enhancing the specificity of immunoassay techniques involves directly targeting different epitopes of an antigen.

CONCLUSIONS:

This approach entails utilizing sequential chain reactions facilitated by distinct enzymes bound to various antibodies, each directed at specific epitopes on the antigen. Such an innovative method holds promise for advancing the specificity of immunoassay methods.
Relation of ICAM-1 and VCAM-1 markers in COVID-19 patients in Kirkuk province
Authors: Albarzanji Zubaida Najat Mustafa , Wahid Nuha Mumin , Shaker Najlaa Bakir , Al-Bayati Zaid Mohammed
Published: September 2024

BACKGROUND:

The advent of the Coronavirus Disease 2019 (COVID-19) has presented a substantial and urgent global public health issue. Biomarkers have the potential to be utilized for the identification of endothelium and/or alveolar epithelial damage in instances of COVID-19 infection.

AIM OF THE STUDY:

to evaluate the levels of Intercellular adhesion molecule-1 (ICAM-1) and Vascular cell adhesion molecule (VCAM-1) biomarkers in hospitalized patients who tested positive for COVID-19 infection using Polymerase Chain Reaction (PCR) with the virus specific Immunoglobulins; IgM, and IgG testing. This can help with improved clinical management and treatment programs.

METHODS:

A case-control study that involved 90 hospitalized patients who tested positive for COVID-19 and 40 apparently healthy control patients, subjects in both groups underwent nasopharyngeal swabs for PCR and blood sample collection for evaluation of serum; IgM, IgG, ICAM-1 and VCAM-1 levels.

RESULTS:

Males made up the vast majority of the patients (78.9%), with only a minor percentage of females (21.1%) [Formula: see text] value 0.1641. Furthermore, every patient in this study had a minimum of one risk factor for COVID-19. The investigator’s results show that COVID-19 patients had higher amounts of endothelial cell adhesion indicators (ICAM-1 and VCAM-1) with mean values of 126.27 [Formula: see text] 89.51 ng/mL and 109.74 [Formula: see text] 96.57 ng/mL respectively. While, ICAM-1 and VCAM-1, were present at normal levels in the control group with difference [Formula: see text] value 0.0028 and 0.0032 in comparison to the patient’s group respectively.

CONCLUSIONS:

The adhesive markers ICAM and VCAM play a crucial role in the development of COVID-19 and the strong endothelial activation and dysfunction linked to both acute and persistent immunological responses is shown by the substantial correlation found in COVID-19 patients between the presence of IgM and IgG antibodies and higher levels of ICAM-1 and VCAM-1.
Digital toy design: A doll head modeling method based on model matching and texture generation
Authors: Sun Wei , Zhang Yu , Ma Jin
Published: September 2024

With the development of technology and the improvement of living standards, consumer demand for toy products has also changed. More people are showing strong interest and demand for digital toy products. However, in the current digital toy design process, extracting the hairstyle features of the doll’s head is still a challenge. Therefore, this study extracts the two-dimensional contour of the target hairstyle and matches it with the template hairstyle in the database. Then, combining hair texture information and hairstyle structural features, fine geometric texture details are generated on the hairstyle mesh surface. Finally, a doll head modeling method based on model matching and texture generation is proposed. The results showed that the hairstyle of the Generative model was almost the same as the real hairstyle. Compared with the modeling methods based on interactive genetic algorithm and digital image, the average F1 value of this method was 0.95, and the mean absolute error was the smallest. The accuracy of the target model modeling was 95.4%, and the area enclosed by the receiver operating characteristic curve and coordinate axis was 0.965. In summary, the doll head modeling method based on model matching and texture generation proposed in this study can generate high-precision and realistic hairstyle models corresponding to the hairstyle. The overall shape and local geometric details of the hairstyle can meet the needs of 3D printing, providing certain reference significance for hairstyle reconstruction.
Hybrid LSTM models-based detection of left ventricular hypertrophy in electrocardiogram signals
Authors: J Revathi , J Anitha
Published: September 2024

This research investigates various deep learning techniques to automatically classify Left Ventricular Hypertrophy (LVH) from electrocardiogram (ECG) signals. LVH frequently results from persistently high blood pressure, causing the heart pump harder and thicken the ventricular walls. It is associated with an increased risk of heart attacks, heart failure, stroke, and sudden cardiac death. The significance of this research lies in the early and precise detection of LVH, facilitating timely interventions and ultimately improving patient health. The non-invasive nature of ECG monitoring, integrated with the efficiency of deep learning models, contributes to faster and more accessible to enhance diagnostic accuracy and efficiency in identifying LVH. The objective of this research is to assess and compare the performance of GRU3Net, Double-Bilayer LSTM, and Conv2LSTM, Dual-LSTM models in the classification of Left Ventricular Hypertrophy (LVH) based on electrocardiogram (ECG) signals, utilizing a dataset sourced from the PTB Diagnostic ECG Database. The implemented deep learning models yielded noteworthy results. Specifically, the GRU3Net model achieved a high accuracy of 96.1%, showcasing an optimal configuration for overall accuracy. The Double-Bilayer LSTM model followed with an accuracy of 91.7%. However, a decline in accuracy was observed in both the Dual-LSTM and Conv2LSTM models, with the former registering an accuracy of 90.8% and the latter decreasing further to 87.3%.
An optimized Transformer algorithm: Implementation for intelligent English translation
Authors: Hu Wei , Luo Yipeng
Published: September 2024

There is an increasing demand for high-quality translations in the realm of intelligent English translation. This paper optimized the traditional Transformer algorithm by enhancing position coding and the softmax layer. Bidirectional long short-term memory (BiLST) was employed to realize position encoding, capturing both contextual and positional information simultaneously. Additionally, the softmax function was replaced with the sparsemax function to obtain sparser results. The translation performance of some algorithms on Chinese and English datasets was compared and analyzed. It was found that that the optimized Transformer algorithm performed better than the RNNSearch, ConvS2S, and Transformer-base algorithms in terms of bilingual evaluation understudy (BLEU) score on the test set. It achieved an average BLEU score of 23.72, representing an improvement of 1.56 over the RNNSearch algorithm, 1.17 over the ConvS2S algorithm, and 0.73 over the Transformer-base algorithm. The parameter quantity of the optimized algorithm was 6.83 M, which was 0.05 M higher than the Transformer-base algorithm. Furthermore, its running time was 4,862.76 s, showing a marginal increase of 0.21% compared to the Transformer-base algorithm. These findings validate the reliability of the optimized Transformer algorithm for intelligent English translation and its potential practical application.
Hybrid convolutional neural networks in human resource recommendation
Authors: Huang Nannan , Wang Xue
Published: September 2024

The study proposes a new algorithm combining a gradient boosting tree algorithm with a hybrid convolutional neural network in order to design a better human resource recommendation algorithm to solve the problem of employment difficulties and recruitment difficulties. The algorithm combines the excellent feature transformation ability of gradient boosting trees with the excellent classification ability of hybrid convolutional neural networks, complementing the shortcomings of each of the two algorithms. The outcomes showed that the algorithm performed best with the learning rate set to 0.3 and the maximum tree depth set to 3. The algorithm now has the lowest loss percentage and highest F1-Score value. The maximum-median hybrid pooling approach used in the study had considerable improvements over the algorithm’s pooling strategy (PS), and it had the greatest recall and F1-Score values of all pooling strategies (0.8108 and 0.7418, respectively). The new algorithm outperformed the gradient boosting tree algorithm and the hybrid convolutional neural network algorithm in terms of recall and F1-Score values, and regardless of the length of the job recommendation, the recall and F1-Score values of the new algorithm were consistently higher than those of the old algorithm. The recall and F1-Score values of the new algorithm, with a job recommendation length of 70, were 0.8198 and 0.7432, respectively, both greater than those of the other algorithms, according to a comparison of it with other conventional HR recommendation algorithms. The study’s newly created algorithm increases the efficacy and precision of HR suggestions.
Research on the railway multi-source homonymous geographical entity matching algorithm based on dynamic time warping
Authors: Gong Weiwei , Zhou Lingyun , Zhou Langya , Bao Jingjng , Chen Cheng
Published: September 2024

This study aims to explore an efficient technique for matching multisource homonymous geographical entities in railways to address the identification issues of homonymous geographical entities. Focusing on railway line vector spatial data, this research investigates the matching problem of multisource homonymous geographical entities. Building on statistical feature matching of attribute data, a curve similarity calculation method based on the DTW algorithm is designed to achieve better local elastic matching, overcoming the limitations of the Fréchet algorithm. The empirical study utilizes railway line layer data from two data sources within Beijing’s jurisdiction, fusing 6237 segment lines from source 2 with 105 long lines from source 1. The structural comparison between the two data sources is conducted through statistical methods, applying cosine similarity and the maximum similarity value of TF-IDF for text similarity calculation. Finally, Python is used to implement the DTW algorithm for curve similarity. The experimental results show an average DTW distance of 3.92, a standard deviation of 4.63, and a mode of 0.005. Similarity measurement results indicate that 95.53% of records are within the predetermined threshold, demonstrating the effectiveness and applicability of the method. The findings significantly enhance the accuracy of railway data matching, promoting the informatization of the railway industry, and hold substantial significance for improving railway operational efficiency and system performance.
M2PSC: Multilingual sentiment analysis using improved multi-attention based Deep Learning model
Authors: Mathur Shruti , Shrivastava Gourav
Published: September 2024

Sentiment analysis, which involves determining the emotional polarity positivity, negativity, or neutrality in the source texts, is a crucial task. Multilingual sentiment analysis techniques were developed to analyze data in several languages; a notable deficiency of resources in multilingual sentiment analysis is one of the primary issues. Furthermore, the developed methods for multilingual sentiment analysis have some limitations such as data dependency, reliability, robustness, and computational complexity. To tackle these shortcomings, this research proposed a multilingual improved multi-attention Deep Learning model (M2PSC-DL), which leverages the advantages of the Bi-directional Long Short Term Memory (BiLSTM) classifier with improved attention mechanisms. The Multi-metric graph embedding technique encodes the data to provide more contextual information representation. Additionally, the combination of improved Positional Spatial Channel (SPC) attention increases the capability of the model to extract relevant features in the training process which leads to getting accurate results in sentiment analysis tasks. Furthermore, the research proposed an improved sigmoid activation for solving the vanishing gradient issues that help the model avoid gradient saturations. The validation results demonstrate that the M2PSC-DL model attains 96.26% accuracy, 96.06% precision, and 96.18% recall for the XED dataset which is far better than the traditional methods.
Navigating the emotional maze: Understanding Adolescent suicidal ideation using CNN-LSTM model
Authors: Rappai Sherin , Ramasamy Gobi
Published: September 2024

Teenage suicidal ideation is on the rise, which emphasizes how crucial it is to recognize and comprehend the variables that contribute to this problem. Convolutional neural networks (CNNs), which are complex machine learning models capable of analysing intricate relationships within a network, are one possible strategy for addressing this issue. In our study, we employed a CNN-LSTM hybrid model to explore the complex relationships between teen suicide ideation and various risk variables, including depression, anxiety, and social support by analysing a substantial dataset of mental health surveys, seeking patterns and risk factors associated with suicidal thoughts. Our objective was clear: identify adolescents prone to suicidal ideation. With 24 parameters and a sample size of 3075 subjects, our model achieved an impressive F1-score of 97.8%. These findings provide valuable insights which helps in developing effective preventive interventions to address adolescent suicidal ideation, finding out the important patterns and risk variables related to suicidal thoughts. The study results offer important direction for developing preventive interventions that successfully address adolescent suicidal ideation.
Life Expectancy and Causes of Death in Patients with Myotonic Dystrophy Type 2
Authors: Damen Manon J. , Muilwijk Otto G. , Olde Dubbelink Tom B.G. , van Engelen Baziel G.M. , Voermans Nicol C. , Tieleman Alide A.
Published: September 2024

Background: Myotonic Dystrophy type 2 (DM2) is a dominantly inherited multisystem disease caused by a CCTG repeat expansion in intron 1 of the CNBP gene. Although in the last two decades over 1500 patients with DM2 have been diagnosed worldwide, our clinical impression of a reduced life expectancy in DM2 has not been investigated previously. Objective: The aim of this observational study was to determine the life expectancy and the causes of death in patients with genetically confirmed DM2. Methods: We identified the data of all deceased patients with DM2 in the Dutch neuromuscular database between 2000 and 2023. Ages and causes of death and the patients’ clinical features during lifetime were determined. Age of death in DM2 was compared to the general population by using life tables with prognostic cohort life expectancy (CLE) and period life expectancy (PLE) data of the Dutch electronic database of statistics (CBS StatLine). Results: Twenty-six deceased patients were identified in the Dutch DM2 cohort (n = 125). Median age of death in DM2 (70.9 years) was significantly lower compared to sex- and age-matched CLE (78.1 years) and PLE (82.1 years) in the Netherlands. Main causes of death were cardiac diseases (31%) and pneumonia (27%). Seven patients (27%) had a malignancy at the time of death. Conclusion: These results provide new insights into the phenotype of DM2. Life expectancy in patients with DM2 is reduced, possibly attributable to multiple causes including increased risk of cardiac disease, pneumonia, and malignancies. The occurrence of a significantly reduced life expectancy has implications for clinical practice and may form a basis for advanced care planning, including end-of-life care, to optimize quality of life for patients with DM2 and their family. Research in larger cohorts should be done to confirm these findings and to ascertain more about the natural course in DM2.
Molecular Variability in Levodopa Absorption and Clinical Implications for the Management of Parkinson’s Disease
Authors: Pedrosa de Menezes Ana Luisa , Bloem Bastiaan R. , Beckers Milan , Piat Capucine , Benarroch Eduardo E. , Savica Rodolfo
Published: September 2024

Levodopa is the most widely used medication for the symptomatic treatment of Parkinson’s disease and, despite being an “old” drug, is still considered the gold standard for offering symptomatic relief. The pharmacokinetic and pharmacodynamics of levodopa have been studied extensively. Our review explores the molecular mechanisms that affect the absorption of this drug, focusing on the large intra- and interindividual variability of absorption that is commonly encountered in daily clinical practice, and on the interaction with other medications. In addition, we will explore the clinical implications of levodopa absorption variability and address current and future strategies for researchers and clinicians.
Effect of fit and self-etching adhesive on fiber post retention in endodontically treated teeth
Authors: Zhan Jing , Li Li , Cao Zheng , Sheng Gaoan , Lou Weiwei , Sheng Lieping , Yao Litao
Published: September 2024

BACKGROUND:

Fiber post (FP) reinforced restoration was widespread in endodontically treated teeth, of which the retention was closely related to fit and operation process. However, the question whether the fit and self-etching adhesive (SED) affect the success of FP restoration still remained unclear.

OBJECTIVE:

This research aimed to assess how the fit and self-etching adhesive (SED) impact the pull-out bond strength (BS) of glass fiber-reinforced composite posts from the root canal dentin.

METHODS:

Eighty lower first premolars underwent simulated endodontic treatment, after which their canals were shaped to accommodate a size three RelyX fiber post (FP) (diameter 1.9 mm). They were then divided into 4 equal groups [Unfit post and no SEA (Group UN), Fit post and no SEA (Group FN), Unfit post with SEA (Group UA) and Fit post with SEA (Group FA)] using two different sized FPs and SEA. Cement thickness was acquired by histological analysis and stereomicroscopy. Each sample was tested for pull-out strength through a universal testing machine. Based on the pull-out test, the failure types were observed and scored by visualizing through a stereomicroscope.

RESULTS:

Group FA demonstrated significantly greater BS compared to Group UN and Group UA, with Group UN showing a statistically significant difference at [Formula: see text] 0.01 and Group UA at [Formula: see text] 0.05. Main failure types in Group FA were Type II, which illustrated that the cement detachment mainly occurred from the post-cement interface. Therefore, Group FA possessed the STRONGEST BS and was most suitable for FP-reinforced crown restorations.

CONCLUSIONS:

Both the fit and SEA enhanced the pull-out BS. The SEA was critical for BS promotion when the mechanical retention was inadequate.
Extracellular volume fraction of liver and pancreas using spectral CT in hypertensive patients: A comparative study
Authors: Huang Xiaoming , Zhang Zhen , Wang Jiansheng , Yang Yaqing , Hao Tianqi , Zhang Shuai , Liu Ling , Wang Guohua
Published: September 2024

BACKGROUND: Besides the direct impact on the cardiovascular system, hypertension is closely associated with organ damage in the kidneys, liver, and pancreas. Chronic liver and pancreatic damage in hypertensive patients may be detectable via imaging. OBJECTIVE: To explore the correlation between hypertension-related indicators and extracellular volume fraction (ECV) of liver and pancreas measured by iodine maps, and to evaluate corresponding clinical value in chronic damage of liver and pancreas in hypertensive patients. METHODS: A prospective study from June to September 2023 included abdominal patients who underwent contrast-enhanced spectral CT. Normal and various grades of hypertensive blood pressure groups were compared. Upper abdominal iodine maps were constructed, and liver and pancreatic ECVs calculated. Kruskal-Wallis and Spearman analyses evaluated ECV differences and correlations with hypertension indicators. RESULTS: In 300 patients, hypertensive groups showed significantly higher liver and pancreatic ECV than the normotensive group, with ECV rising alongside hypertension severity. ECVliver displayed a stronger correlation with hypertension stages compared to ECVpancreas. Regression analysis identified hypertension severity as an independent predictor for increased ECV. CONCLUSIONS: ECVliver and ECVpancreas positively correlates with hypertension indicators and serves as a potential clinical marker for chronic organ damage due to hypertension, with ECVliver being more strongly associated than ECVpancreas.
Emerging Omicron Subvariants EG.5 and BA.2.86: Implications for COVID-19 Immunity and Surveillance
Authors: Hamraa Javeria , Khidri Feriha Fatima , Saeed Sania , Oni Oluwabusola Elizabeth , Anbreen Sundus , Shaukat Sumbal
Published: September 2024

The SARS-CoV-2 virus, responsible for the COVID-19 pandemic, has continuously evolved since its emergence. Among its variants, the Omicron lineage has become globally dominant, displaying a diverse range of sublineages. Two significant sub lineages within Omicron are EG.5 and BA.2.8, which have gained attention due to their unique characteristics and potential implications. EG.5 is characterized by a constellation of mutations, including N501Y, L452R, and D614G. Similarly, BA.2.8 carries the L452Q and P681R mutations, which enhance its ability to evade antibodies elicited by prior infection or vaccination. Similar to those in the EG.5, the clinical severity and impact of BA.2.8 on public health measures are still being assessed. These sublineages, with their unique genetic profiles and transmissibility characteristics, pose challenges to virulence response efforts. Continued surveillance, genomic sequencing, and research are essential to understand their behavior, assess their impact, and inform public health strategies accordingly. By a comprehensive synthesis of the literature, genomic data, and epidemiological insights, this study provides an analysis of Omicron mutations’ transmission dynamics, and clinical implications associated with these variants. The significance of variant surveillance in informing public health responses to the COVID-19 pandemic is underscored, highlighting the critical role of genomic sequencing in tracking viral evolution and guiding interventions. This manuscript aimed to elucidate the mechanisms underlying variant emergence, assess vaccine effectiveness against emerging strains, and explore the broader implications for global public health. This study provides insights into vaccine-induced immunity and the potential impact of variants on vaccine efficacy. Overall, this communication aims to inform public health practitioners, policymakers, and researchers engaged in the battle against COVID-19, offering actionable insights to mitigate the spread of the virus and improve pandemic response strategies.
Hemangiosarcoma of pets: a literary review
Authors: Yakunina Marina , Sergeeva Ekaterina
Published: September 2024

Hemangiosarcoma is a highly aggressive malignant neoplasm that develops from endothelial cells of blood vessels. The tumor has an aggressive growth pattern and early metastasis, leading to rapid death of patients. The variety of clinical manifestations and regions of the lesion makes this tumor the most interesting for clinicians, while the prognosis directly depends on the location of the lesion and the stage of the disease. This review describes both the most common and rare clinical forms of hemangiosarcoma and the main methods of treatment.
Efektifitas Hypnopregnancy terhadap Peningkatan Kualitas Tidur Ibu Hamil
Authors: Maya Aminah , Rosmiarti Rosmiarti
Published: September 2024

Latar Belakang: Selama kehamilan, tubuh ibu hamil mengalami perubahan besar yang biasmembuat ibu hamil seringkali merasa tidak nyaman, baik itu perubahan fisiologis maupunpsikologis. Perubahan ini menimbulkan gejala spesifik sesuai dengan tahapan kehamilan yang terdiridari tiga trimester. Perubahan psikologis yang sering terjadi pada ibu hamil seperti kecemasan/ stress.Dampak kecemasan yang lain adalah dapat menurunkan kualitas dan kuantitas tidur ibu hamil selamamasa kehamilan Terapi non farmakologi yang dapat dilakukan meliputi relaksasi,guided imageryprogressive muscle relaxation, hipnoterapi dan terapi music klasik. Tujuan: Penelitian ini untukmengetahui efektifitas hypnopregnancy dalam meningkatkan kualitas tidur ibu. Metode: penelitianini adalah penelitian quasi eksperiment dengan bentuk rancangan perbandingan kelompok statis(Static Group Comparison) dan menggunakan uji statistik chi square. Data didapatkan dari wawancara melalui lembar observasi langsung dengan instrument The Pittsburgh Sleep QualityIndex (PSQI). Sampel penelitian ini berjumlah 30 orang yang terdiri dari kelompok eksperimen dankontrol. Hasil:uji statistik, diperoleh tingkat signifikansi ρ<0.05 (ρ: 0.009), yang berarti adapengaruh yang signifikan antara hypnopreganncy terhadap kualitas tidur ibu hamil.Kesimpulan:hypnopregnancy dapat digunakan sebagai salah satu terapi untuk memperbaikidan meningkatkan kualitas tidur ibu.
A New Hybrid Model for Heart Disease Prediction Using Machine Learning Algorithms Optimized by Modified Whale Optimization Algorithm
Authors: Zainab Shaker MatarAl-Husseini  , HUDA HADI TALIP  , Muna Ghani  , Ali H. Naser
Published: September 2024

Heart disease is a kind of cardiovascular disease (CVD) which globally considered death's number one cause. Data Science plays an important role in processing large data amounts in the healthcare domain. There are several problems that could hinder appropriate cardiac monitoring, including limited of medical dataset, lack of depth analysis, and feature selection. In this paper, we exploit the method of Fast Correlation-Based Feature Selection (FCBF) for filtering extra features for developing heart disease classification quality. Next, we implement the classification according to various algorithms of classification like Decision tree, Naïve Bayes, Logistic Regression, K-Nearest Neighbour (KNN), Random Forest, Support Vector Machine (SVM), and a Multilayer Perception which is optimized with the modified whale optimization algorithm evaluation version named Modified Whale Optimization Algorithm (MWOA). The proposed model optimized with FCBF as well as MWOA obtain an 83.26% accuracy score by Logistic Regression.
A Survey on Crop Management in Smart Agriculture
Authors: Nedaa Jaber Abdulhussain  , Alajali Walaa
Published: September 2024

The agricultural sector's importance is highlighted by the upcoming global population growth predicted by the food and agriculture organization. This growth will lead to increased food demand. However, traditional farming methods require a lot of time and effort and result in diminishing returns. Recent technological advancements, especially in the Internet of Things (IoT), are changing this landscape by introducing smart agriculture. Smart agriculture aims to improve decision-making and crop management using IoT's connectivity and data analysis capabilities. Artificial intelligence (AI) is becoming crucial in this context, offering speed, accuracy, and cost-effectiveness. Machine learning, a type of AI, is beneficial in detecting yields and forecasting weather. This survey highlights the evolving field of intelligent agriculture, covering topics like crop monitoring, and anomaly detection, and explains the main challenges in farming practices.
La filiation dans le droit des Etats de l'Union: entre convergences et particularismes
Authors: Legendre Rebecca
Published: September 2024

L'essai analyse la proposition de règlement de la Commission européenne sur la filiation. L'accent est mis sur les convergences et les particularismes des droits nationaux et il est souligné que le règlement proposé devrait définir des méthodes pour parvenir à l'harmonie matérielle du droit des Etats de l'Union
La legge regolatrice del rapporto di filiazione nella proposta di regolamento della Commissione europea
Authors: Pesce Francesco
Published: September 2024

La disciplina di conflitto contenuta nella proposta di regolamento si presenta come apertamente ispirata all'obiettivo di garantire lo stabilimento della filiazione (bigenitoriale, nei limiti del possibile), parimenti limitando all'estremo le ipotesi in cui risulti possibile escludere l'applicazione della legge straniera richiamata in ragione del contrasto con i valori dell'ordinamento del foro. Le norme internazionalprivatistiche qui considerate sembrano dunque abbandonare quella posizione di "neutralità" che viene loro tradizionalmente e tendenzialmente riconosciuta, a favore del perseguimento di un chiaro obiettivo materiale, politicamente comprensibile ma, forse, strategicamente poco funzionale a coagulare il consenso di tutti gli Stati appartenenti al cd. spazio europeo di libertà, sicurezza e giustizia.