bluuebunny/crossref_metadata_2025 huggingface dataset:
MODIFIED SULPHATE-RESISTANT PORTLAND CEMENTS WITH THE ZEOLITE ADDITIVE
Authors:   Lviv Polytechnic National University, Sanytsky M.A. , Kropyvnytska T.P. ,   Lviv Polytechnic National University, Trefler R.Yu. ,   Lviv Polytechnic National University
Published: July 2022

The article shows that one of the ways to increase the sulfate resistance of cements is to use as an additive of pozzolanic action based on highly dispersed zeolite, which increases the corrosion resistance of concrete. Physical-chemical properties of zeolite tuff as a mineral constituent of Portland cements with the addition of pozzolana are presented. The use of modern grinding technology by separate grinding of Portland cement clinker and natural zeolite in mills with separators of the latest generation allows to obtain high quality Portland cement with zeolite CEM II/A-P 42.5 R PJSC "Ivano-Frankivsk Cement", characterized by high early strength. It is shown that the replacement of the clinker component with zeolite leads to a decrease the content of clinker minerals C3S and C3A in cements, which significantly limit the corrosion resistance of cement stone. Highly dispersed zeolite is characterized by increased pozzolanic activity (after 28 days, the absorption of Ca(OH)2 is 200-250 mg/g). Due to pozzolanic reaction with the formation of C-S-H-phases, the content of calcium hydroxide in the paste based on CEM II/A-P 42.5 R is reduced by 2 times compared to Portland cement CEM I 42.5 R. Decrease in the concentration of Ca(OH)2 in cement pastes eliminates the possibility of the formation of a significant amount of ettringite, which causes sulfate corrosion of cement stone. It was found that during the hardening of Portland cement CEM II/A-P 42.5 R under the influence of sulfate and magnesium media, the coefficient of corrosion resistance Ks after 56 days is 1.16 and 0.98, respectively, while for samples based on Portland cement CEM I 42.5 R Ks decreases by 1.2-1.3 times. The results of researches of influence of aggressive environments on corrosion resistance of Portland cement with the increased content of zeolite type CEM ІІ/В-Р 42.5 are resulted. For Portland cement CEM ІІ/В-Р 42.5 the coefficient of corrosion resistance in the conditions of sulphate environment Кс90 = 1.47. Portland cements with zeolite strength class 42.5, modified with superplasticizers of polycarboxylate type, are characterized by high sulfate resistance and should be used for the manufacture of concrete classes C25/30...C50/60 for construction of dams, hydraulic structures, sewers storage of waste from livestock farms, etc. Modified rapid-hardening Portland cements with the zeolite additive provide technical, environmental and economic effects in the manufacture of concrete and reinforced concretes of hydraulic structures.
THE KNOWLEDGE OBTAINED FROM THE MAIN INSPECTIONS OF PEDESTRIAN BRIDGES IN PREŠOV
Authors:   Slovak Technical University in Bratislava, Paulik P. , Gašpárek J. ,   Slovak Technical University in Bratislava, Kopásek D. ,   Slovak Technical University in Bratislava, Chernieva O. ,   Odessa State Academy of Civil Engineering and Architecture
Published: July 2022

The maintenance and inspection of bridges is often a neglected component of necessary technical bridge care. One of the factors contributing to this can be the insufficient financial resources available for repairs under town and municipality administration where financial resources may be restricted. The most severe problem is the underestimation of the importance of bridge inspections. Preventive measures, in the form of regular inspections, can reveal structural issues caused by constructional defects during production or by changing external conditions. We can nevertheless still prioritize and effectively use financial resources for repairs. The knowledge obtained during inspections is an essential part of the draft process for new bridges and lessons learned on maintaining them effectively. This study sums up the most severe faults on selected pedestrian bridge structures and provides findings acquired during the inspections. This article presents findings from the inspection of pedestrian bridges in Prešov, Slovak Republic: Segmental pedestrian bridge next to the University of Prešov; Pedestrian bridges over the railway line in the direction of Rusínska ‒ Lesík Delostrelcov; Pedestrian bridge over the Torysa river on Mukačevska street. Main inspections have been carried out in the first half of 2021 by the company ProPonti s.r.o, in cooperation with the Department of Concrete Structures and Bridges (KBKM) STU Bratislava. Based on the executed main inspections, we can sum up the main following findings: immediate grouting and repassivation of the prestressing reinforcement can prevent a significant shortening of the service life, despite substantial manufacturing error; in the case of segmental constructions, a detailed inspection of the interior of the chambers as well as the condition of the prestressing reinforcement located in cement mortar is needed on a regular basis; for all types of structures, it is important to monitor the function of the bridge´s drainage system and any water penetration manifested by wet stains and efflorescence. Such problems must be solved immediately and will, in turn, significantly reduce the contamination of concrete with salts, greatly extending the service life of the bridge.
CONCRETES ON SECONDARY CRUSHED STONE AS A PROMISING MATERIAL FOR THE RIGID PAVEMENT BASE
Authors:   Odessa State Academy of Civil Engineering and Architecture, Kroviakov S.O. , Chystiakov A.O. ,   Odessa State Academy of Civil Engineering and Architecture, Bershadskyi А.О. ,   Odessa State Academy of Civil Engineering and Architecture, Shevchenko T. ,   Odessa State Academy of Civil Engineering and Architecture
Published: July 2022

In the course of research, the efficiency of application of plasticizers of different type in concretes for bases of highways on secondary crushed stone is defined. In studies of concrete compositions, the type of crushed stone, secondary or granite, changed, which allowed to compare the properties of concrete on secondary crushed stone with the properties of concrete of similar composition on granite crushed stone. In addition, the type of sand changed: Bilyaevsky or Voznesenski quarry. As modifiers used additive lignosulfonate or superplasticizer polycarboxylate type MC-PowerFlow 3200. All concrete mixtures had equal mobility P2, which was provided by variation W/C (water-cement ratio). It was found that the concrete on the secondary crushed stone is characterized by a significantly higher W/C mixture due to greater porosity and damage to the surface of the coarse aggregate. The average density of concrete on secondary crushed stone is 4.2-4.4% lower compared to the average density of concrete on granite crushed stone. The average density of concrete on the larger sand of the Voznesenski quarry is 25-30 kg/m3 higher than the average density of concrete on similar gravel and finer sand of the Bilyaevsky quarry. In composites based on CEM III/A and using lingosulfonate additives, the compressive strength of concrete on secondary crushed stone is 12-13% lower compared to the strength of concrete on granite crushed stone and similar sand. However, when using the more efficient MC-PowerFlow 3200 additive, the difference in concrete strength on secondary and granite crushed stone is only 5.4% (29.8 MPa and 31.4 MPa, respectively). The strength of concrete on the sand of the Voznesenski quarry is 4-6% higher than the strength of concrete on similar gravel and finer sand of the Bilyaevsky quarry. It was found that the tensile strength when bending concrete on secondary and granite gravel when using the additive MC-PowerFlow 3200 was 2.75 MPa and 2.87 MPa, respectively, which differs by only 4%. Thus, the tensile strength of bending concrete on secondary crushed stone was almost no different from the tensile strength of similar concrete on granite crushed stone. This can be explained by the peculiarities of the aggregate with a porous surface, which is characterized by high adhesion to the cement-sand matrix. In general, the strength of concrete on secondary crushed stone using slag-containing cements allows them to be used effectively for road bases.
ЗНАЧЕННЯ ОБЛІКУ ВИТРАТ ДЛЯ ПІДВИЩЕННЯ ЕКОНОМІЧНОЇ ЕФЕКТИВНОСТІ ОРГАНІВ МІСЦЕВОГО САМОВРЯДУВАННЯ
Authors: Wakuła Monika
Published: July 2022

Стаття присвячена раціональності та ефективності витрачання органами місцевого самоврядування державних коштів, спрямованих на виконання покладених на них завдань. Сьогоднішні на практиці органи місцевого самоврядування зосереджуються, насамперед, на витрачанні державних коштів відповідно до законодавства з метою виконання зобов’язань щодо звітності з цього приводу. Емпіричне дослідження проводилося у гмінах субрегіонів Седльце та Остроленка. Дослідження підтверджує, що облік витрат є необхідним елементом економічної інформаційної системи будь-якої економічної одиниці. У роботі наголошується на необхідності пошуку нових рішень щодо раціонального використання обліку витрат за результатами використання бюджетних коштів. Витрати слід визнавати як ретроспективно, так і перспективно, застосовуючи підходи управлінського обліку. Запропоновану облікову методику можна використовувати не лише при розрахунку завдань, а й при визначенні реальної вартості послуг, що надаються муніципалітетами.Наведені міркування свідчать про те, що досліджувані в роботі органи місцевого самоврядування недостатньо раціонально використовують інструменти підвищення ефективності використання бюджетних коштів.
Socio-economic impact of HIV/AIDS and compounding effect of COVID-19 pandemic in sub-Sahara Africa
Authors: Julius Mekolle Enongene
Published: July 2022

Together with the recent emergence of COVID-19, which is not only directly contributing to high morbidity and mortality but is also destabilizing critical health systems and undermining HIV and other global health initiatives, the spread of HIV/AIDS has adversely impacted all advancements in education, health, standards of living, and life expectancy that Africa has made since the 1950s.However, all nations and regions must work together to find solutions to these global issues, especially sub-Saharan Africa, which has the lowest vaccination rates worldwide and the highest rates of HIV/AIDS infection despite having promising economic possibilities. The goals of this review were to emphasize the effects of HIV and AIDS on socio-economic development in sub-Saharan Africa and to highlight how the COVID-19 pandemic affects this relationship.
Karol Wojtyła’s Concept of Personal Transcendence
Authors: Gudaniec Arkadiusz
Published: July 2022

The article presents the understanding of the transcendence of the person in Wojtyła’s phi­losophy. The text discusses in turn: the role of the experience of the person; the concept of transcend­ence in relation to other concepts used by Wojtyła; the reference to the truth as the basis of personal transcendence; the integration of the person; the transcendence in the personal existence. The analyses conducted in the article show that transcendence of the person in the proper sense reveals the spiritual dimension of his existence as being superior to the material dimension. The presented text draws atten­tion to the richness of threads showing the transcendence of the person in action on the basis of an anal­ysis of lived experience. This approach not only illuminates or presents from another side the traditional concept of transcendence, based on the essential distinction between person and nature, but also adds new and revealing aspects to it. The person as an autonomous subjectivity not only freely determines himself/herself, but moreover transcends humanity as a general human nature – in virtue of an indi­vidual, unique personal existence. As a crowning achievement of the concept of the transcendence of the person, the metaphysical aspect of anthropology, which is strongly present in Wojtyła’s thought, is proposed here, which is somewhat new in the treatment of the topic of transcendence. According to this approach, transcendence experienced in action reveals its deeper level: transcendence in existence, which reveals the deepest foundation of being a person.
Diabetes mellitus tipo 1: Una perspectiva para estudiantes de Ciencias de la Salud
Authors: Yépez Zambrano Daniel , González González Manuel , Farfán Cano Harold , Farfán  Cano Galo , Cervantes Moreira Kenny
Published: July 2022

La presente breve revisión es una descripción de la diabetes mellitus tipo 1, una enfermedad metabólica crónica de origen autoinmune, cuya característica principal es la presencia de niveles elevados de glicemia en sangre. Esta patología está estrechamente relacionada con múltiples complicaciones a corto y largo plazo. Adicionalmente, el manejo inadecuado de la misma puede comprometer el estilo y la calidad de vida de los pacientes, secundario a la degeneración de importantes funciones metabólicas para mantener un ambiente interno estable y saludable. Por ello, se menciona la historia natural de la enfermedad, etiopatogenia, manifestaciones clínicas, complicaciones y tratamiento, enfocado a manera de recordatorio para los médicos generales.
Контент-аналіз наукових досліджень 2010-2019 рр. з проблем професійної підготовки фахівців туристичної галузі в Україні
Authors: Петрова А. А.
Published: July 2022

У статті проаналізовано дисертації напряму професійна туристична освіта, що були опубліковані протягом останніх десяти років (2010-2019). Виокремлено проблеми наукових пошуків та еволюцію їх актуальності на різних етапах хронологічного періоду. Встановлено причинно-наслідкові зв’язки зміни актуальності тих чи інших напрямів досліджень. Спрогнозовано подальші напрями досліджень в галузі професійної підготовки фахівців з туризму.
PENGARUH WAKTU TANAM TERHADAP PERTUMBUHAN DAN HASIL TANAMAN KACANG TANAH YANG DITUMPANGSARIKAN DENGAN TANAMAN JAGUNG MANIS
Authors: Aris Aksarah  , Noer Hasmari , Mitrayani Dewi , Idris
Published: July 2022

Penelitian ini bertujuan untuk untuk mengetahui waktu tanam yang tepat agar diperoleh hasil kacang tanah yang optimal pada sistem tumpangsari dengan tanaman jagung manis. Penelitian ini dilaksanakan di Lahan Pertanian Kelurahan Petobo Kelurahan Palu Selatan Kota Palu Sulawesi Tengah selama 3 bulan yang dimulai dari bulan September hingga Nopember 2017. Penelitian ini dilaksanakan dengan menggunakan Rancangan Acak Kelompok (RAK) satu faktor, dengan pengelompokan berdasarkan sumber air. Adapun perlakuan yang dicobakan adalah waktu tanam sistem tumpangsari (TS) yaitu sebagai berikut :  TS0 = Jagung manis ditanam bersamaan kacang tanah; TS1 = Jagung manis ditanam 2 MST kacang tanah; TS2 = Jagung manis ditanam 4 MST kacang tanah; TS3 = Monokultur jagung manis. Masing-masing perlakuan terdiri atas 3 ulangan sehingga terdapat 12 petak satuan percobaan.  Hasil penelitian menunjukkan bahwa perlakuan waktu tanam berpengaruh nyata terhadap tinggi tanaman 4 MST dan jumlah cabang 6 dan 8 MST dan berpengaruh tidak nyata terhadap hasil tanaman kacang tanah pada sistem tumpangsari dengan jagung manis. Waktu tanam yang lebih baik untuk mendapatkan produksi kacang tanah, ditanam 4 MST lebih awal daripada jagung manis.
BAHAYA KANDUNGAN LOGAM BERAT (Cd, Hg, Pb) PADA PRODUK OLAHAN Pterygoplichthys pardalis ASAL SUNGAI CILIWUNG JAKARTA BAGI KESEHATAN MANUSIA
Authors: Handhini Dwi Putri  , Elfidasari Dewi , Haninah  , Sugoro Irawan
Published: July 2022

Sungai Ciliwung merupakan salah satu sungai yang mengalir di Jakarta. Sungai Ciliwung termasuk sungai yang tercemar. Salah satu bahan pencemar di Sungai Ciliwung adalah logam berat (Cd, Hg, Pb). Logam berat berpengaruh terhadap organisme yang hidup di sungai termasuk ikan sapu-sapu (Pterygoplichtys pardalis). Pterygoplichthys pardalis terbukti mengandung logam berat. Logam berat pada akhirnya akan terakumulasi melalui proses bioakumulasi dan berbahaya bagi manusia. Penelitian ini dilakukan untuk melakukan pengolahan Pterygoplichthys pardalis dari sungai Ciliwung menjadi beberapa produk olahan makanan yaitu abon, siomay dan tepung tulang. Produk olahan tersebut kemudian di uji kadar logamnya menggunakan metode XRF. Hasil analisis kadar logam menunjukkan konsentrasi Cd, Hg, dan Pb melebihi batas maksimum yang ditetapkan SNI. Penelitian ini bermanfaat untuk mengetahui informasi kadar logam produk olahan Pterygoplichthys pardalis asal sungai Ciliwung dan potensi bahaya bagi kesehatan manusia.
Sampling linear inverse problems with noise
Authors: Stefanov Plamen , Tindel Samy
Published: July 2022

We study the effect of additive noise to the inversion of FIOs associated to a diffeomorphic canonical relation. We use the microlocal defect measures to measure the power spectrum of the noise in the phase space and analyze how that power spectrum is transformed under the inversion. In general, white noise, for example, is mapped to noise depending on the position and on the direction. In particular, we compute the standard deviation, locally, of the noise added to the inversion as a function of the standard deviation of the noise added to the data. As an example, we study the Radon transform in the plane in parallel and fan-beam coordinates, and present numerical examples.
Functional outcomes and length of stay with early and high-intensity rehabilitation after simultaneous bilateral total knee arthroplasty
Authors: Lee So Young , Choi Jun Hwan , Kim Sang Rim , Park Yong-Geun , Lee Hyun Jung , Jeong Wooseong
Published: July 2022

BACKGROUND: Length of stay and functional outcomes after total knee arthroplasty (TKA) are related to the timing and intensity of post-operative rehabilitation. OBJECTIVE: To determine the effectiveness of early and high-intensity rehabilitation after simultaneous bilateral TKA. METHODS: Prospective cohort data of 156 patients (11 men and 145 women; average age 72.0 ± 5.6 years) who underwent simultaneous bilateral primary TKA were analyzed. The intervention group (n= 82) underwent a high-intensity rehabilitation (phase II) after early postoperative standard rehabilitation (phase I) between June 2019 and May 2021. The control group (n= 74) underwent a lower-intensity rehabilitation (phase II) after phase I rehabilitation between July 2017 and May 2019. The timed up-and-go (TUG) test, timed stair climbing test (SCT), 6-minute walk test, isometric knee extensor and flexor strength of both knees, knee flexion and extension range of motion, Western Ontario McMaster Universities Osteoarthritis Index (WOMAC) for pain, stiffness, and functional levels, and the EuroQol five-dimension questionnaire were assessed preoperatively and 6 weeks after TKA. RESULTS: The average length of hospital stay was shortened by 5.7 days (p< 0.001). Phase II rehabilitation started earlier in the intervention group than in the control group (7.7 ± 1.3 vs 13.5 ± 2.0, p< 0.001). Compared with the control group, the intervention group showed significant improvements in the measures of mobility (WOMAC-function and SCT) and strength (isometric strength of both knee extensors and flexors) 6 weeks after TKA by statistically controlling for age and preoperative functional status. CONCLUSION: This study demonstrated that early and high-intensity rehabilitation could achieve functional improvement and shorten the length of hospital stay.
Evidence-based and adverse-effects analyses of cupping therapy in musculoskeletal and sports rehabilitation: A systematic and evidence-based review
Authors: Mohamed Ayman A. , Zhang Xueyan , Jan Yih-Kuen
Published: July 2022

BACKGROUND: Cupping therapy has been used to treat musculoskeletal impairments for about 4000 years. Recently, world athletes have provoked an interest in it, however, the evidence to support its use in managing musculoskeletal and sports conditions remains unknown. OBJECTIVE: To evaluate the evidence level of the effect of cupping therapy in managing common musculoskeletal and sports conditions. METHODS: 2214 studies were identified through a computerized search, of which 22 met the inclusion criteria. The search involved randomized and case series studies published between 1990 and 2019. The search involved five databases (Scopus, MEDLINE (PubMed), Web of Science, Academic Search Complete PLUS (EBSCO), and CrossRef) and contained studies written in the English language. Three analyses were included: the quality assessment using the PEDro scale, physical characteristic analysis, and evidence-based analysis. RESULTS: The results showed that most studies used dry cupping, except five which used wet cupping. Most studies compared cupping therapy to non-intervention, the remaining studies compared cupping to standard medical care, heat, routine physiotherapy, electrical stimulation, active range of motion and stretching, passive stretching, or acetaminophen. Treatment duration ranged from 1 day to 12 weeks. The evidence of cupping on increasing soft tissue flexibility is moderate, decreasing low back pain or cervical pain is low to moderate, and treating other musculoskeletal conditions is very low to low. The incidence of adverse events is very low. CONCLUSION: This study provides the first attempt to analyze the evidence level of cupping therapy in musculoskeletal and sports rehabilitation. However, cupping therapy has low to moderate evidence in musculoskeletal and sports rehabilitation and might be used as a useful intervention because it decreases the pain level and improves blood flow to the affected area with low adverse effects.
Knowledge related to low back pain and its associated factors in patients with low back pain: A cross-sectional study
Authors: Kanaan Saddam F. , Alissa Hadeel M.K. , Jaber Ala’a F. , Almhdawi Khader A. , Mansour Zaid M. , Alhanada Mohammad
Published: July 2022

BACKGROUND: Patients’ knowledge about low back pain (LBP) negatively influences LBP prognosis. Studying the extent of patients’ knowledge about LBP may help clinicians design effective LBP treatment strategies. OBJECTIVE: To explore the level of LBP knowledge and its associated factors in patients with LBP. METHODS: A cross-sectional study with a representative sample. Participants with acute or chronic LBP completed a self-administered questionnaire including sociodemographic and clinical characteristics. We used the Low Back Pain Knowledge Questionnaire (LBP_KQ) to assess knowledge, the Fear-Avoidance Beliefs Questionnaire for LBP (FABQ_LBP) to assess fear of movement, the Oswestry Disability Index (ODI) to assess functional disability, Depression Anxiety Stress Scales (DASS 21) to assess mental health status, and the Numeric Pain Rating Scale (NPRS) to assess pain intensity. RESULTS: A total of 271 individuals with LBP completed the study. The mean age of participants was 39.86 (± 11.27), the LBP chronicity median was 18 (IQR = 44) months, and 56.5% of the participants were females. The mean LBP_KQ score was 9.29 (± 3.89)/24. An educational level higher than high school (diploma education (β= 1.202 [95%CI: 5.633 to 11.498], p< 0.001), bachelor or higher education (β= 2.270 [95%CI: 1.107 to 3.433], p< 0.001)), and using pain killers (β= 1.180 [95%CI: 0.140 to 2.221], p= 0.026) were significantly associated with higher LBP_KQ score. While being employed (β=-1.422 [95%CI: -2.462 to -0.382], p= 0.008) and having higher DASS Anxiety score (β=-0.144 [95%CI: -0.240 to -0.048], p= 0.003) were significantly associated with lower LBP_KQ score. CONCLUSIONS: Individuals with chronic LBP in Jordan demonstrated relatively low levels of LBP knowledge related to their condition. Rehabilitation personnel, healthcare stakeholders, and policymakers should carefully monitor the level of LBP knowledge and its associated factors.
Handheld versus conventional ultrasound for assessing carotid artery in routine volunteers
Authors: Jin Lin , Tong Lan-Yue , Sha Lei , Cao Meng-Meng , Shen Cui-Qin , Du Lian-Fang , Li Zhao-Jun
Published: July 2022

AIM: Carotid ultrasound is a key tool for the diagnosis and evaluation of cardio disease, and the measurement of carotid intima-media thickness (CIMT) and hemodynamic parameters is of paramount importance for the imaging method. The aim of this study was to evaluate the feasibility and accuracy of handheld ultrasound devices for measuring carotid parameters. METHODS: We performed a carotid ultrasound on 25 participants using a handheld ultrasound device and a conventional ultrasound machine. For each participant, max and mean CIMT of common carotid artery (CCA) and peak systolic velocity (PSV), end diastolic velocity (EDV) and resistive index (RI) of CCA, bilateral external carotid artery (ECA), internal carotid artery (ICA) and the vertebral artery were measured. Agreement and repeatability were evaluated by linear regression and Bland-Altman analysis. RESULTS: We found a good repeatability and consistent of handheld ultrasound device in measuring mean CIMT (r = 0.68, P < 0.01). Furthermore, there was a moderate to good agreement between handheld and conventional ultrasound systems in measuring max IMT, mean IMT, PSV, EDV and RI of CCA (0.73, 0.79, 0.52, 0.58 and 0.84, respectively). CONCLUSION: Handheld ultrasound devices were able to provide carotid IMT and hemodynamic parameters measurements similar to those of conventional ultrasound. Such capabilities of handheld ultrasound devices might be useful for the primary assessment of carotid in clinical work.
A hardware efficient intra-cortical neural decoding approach based on spike train temporal information
Authors: Katoozian Danial , Hosseini-Nejad Hossein , Abolghasemi Dehaqani Mohammad-Reza , Shoeibi Afshin , Manuel Gorriz Juan
Published: July 2022

Motor intention decoding is one of the most challenging issues in brain machine interface (BMI). Despite several important studies on accurate algorithms, the decoding stage is still processed on a computer, which makes the solution impractical for implantable applications due to its size and power consumption. This study aimed to provide an appropriate real-time decoding approach for implantable BMIs by proposing an agile decoding algorithm with a new input model and implementing efficient hardware. This method, unlike common ones employed firing rate as input, used a new input space based on spike train temporal information. The proposed approach was evaluated based on a real dataset recorded from frontal eye field (FEF) of two male rhesus monkeys with eight possible angles as the output space and presented a decoding accuracy of 62%. Furthermore, a hardware architecture was designed as an application-specific integrated circuit (ASIC) chip for real-time neural decoding based on the proposed algorithm. The designed chip was implemented in the standard complementary metal-oxide-semiconductor (CMOS) 180 nm technology, occupied an area of 4.15 mm2, and consumed 28.58 μW @1.8 V power supply.
Mining multiplex interaction relationships from usage records in social networks
Authors: Hong Tzung-Pei , Kao Chi-Cheng , Chen Siang-Wei , Chen Chun-Hao
Published: July 2022

Social networks have become increasingly popular and are commonly used in everyday life. They also become the most convenient places to send information or receive advertisements. The multiplex network is an important study topic in social networks, in which many features could be appropriately represented in different layers. In this paper, we propose an approach to find the multiplex interaction relationships based on the action records of users on social networks. The multiplex user interactions are found and divided into three levels: high, normal and low. They are then used to check the friend and the follower relations such that users can find which friends or followers are active or not. In the experiments, the parameters are chosen based on Dunbar’s number, which is the number of social relationships that humans can have with high confidence. The results show the proposed approach is effective in helping users know the truly close friend relationships on a social network.
Multi-view hybrid recommendation model based on deep learning
Authors: Qiu Gang , Song Changjun , Jiang Liping , Guo Yanli
Published: July 2022

With the rapid development of technologies such as cloud computing, big data, and the Internet of Things, the scale of data continues to grow. The recommendation system has become one of the important intelligent software to help users make decisions. The recommendation model based on user rating data is widely studied and applied, but the data sparsity problem and the cold start problem seriously affect the recommendation quality. In this paper, Multi-view Hybrid Recommendation Model (MHRM) based on deep learning is proposed. First, we use WLDA (an improved Latent Dirichlet Allocation method) to extract the vector representation of user review text, and then apply LSTM to contextual semantic level user review sentiment analysis. At the same time, the emotion fusion method based on user score embedding is proposed. The problems such as deviations between the user score and actual interest preference, and unbalanced distribution of the score level are solved. This paper has been tested on Amazon product data and compared with various classic recommendation algorithms, using Mean Absolute Error (MAE), hit rate and standardized discount cumulative return for performance evaluation. The experimental results show that the prediction of the MHRM proposed in this paper on the 7 recommendation data and the TopN recommendation index have been significantly improved.
Unifying attentive sparse autoencoder with neural collaborative filtering for recommendation
Authors: Zhang Yihao , Zhao Chu , Yuan Meng , Chen Mian , Liu Xiaoyang
Published: July 2022

The autoencoder network has been proven to be one of the powerful techniques for recommender systems. Currently, the ways of utilizing autoencoder in recommender systems can be divided into two categories: modeling user-item interaction rely solely on autoencoder and integrating autoencoder with other models. Most existing methods based on autoencoder assume that all features of model’s input are equally the same contributing to the final prediction, which can be regarded as attention weight vectors; however, this hypothesis is not reliable, especially when exploring users’ interaction frequency with different items. Moreover, combining autoencoder with traditional methods, the usual strategy is to leverage a linear kernel of the inner product of user and item vectors to predict user preferences, which will lead to insufficient expression power and hurt the performance of recommendation when facing data sparsity and cold start problems. To tackle the above two problems, we propose a novel hybrid deep learning model for top-n recommendation, called attentive stacked sparse autoencoder (A-SAERec), which can capture attention weights vector of a user for items, and then combined with the neural matrix factorization to improve the performance of recommender model. Extensive experiments on four real-world datasets show that our A-SAERec algorithm has significant improvements over state-of-the-art algorithms.
An efficient isomorphic CNN-based prediction and decision framework for financial time series
Authors: Liu Zhongming , Luo Hang , Chen Peng , Xia Qibin , Gan Zhihao , Shan Wenyu
Published: July 2022

Financial time series prediction and trading decision-making are priorities of computational intelligence for researchers in academia and the finance industry due to their broad application areas and substantial impact. However, these methods remain challenging because they retain various complex statistical properties, and the mechanism behind the processes is unknown to a large extent. A significant number of machine learning-based methods are proposed and demonstrate impressive results, especially deep learning-based models. Nevertheless, due to the high complexity of massive, nonlinear, and nonindependent data and the difficulties and time consumption of complicated training models of deep learning, the performance of online trading decisions is still inadequate for practical application. This paper proposes the Integrated Framework of Forecasting Based Online Trading Strategy (IFF-BOTS) to satisfy better prediction performance and dynamic decisions for real-world online trading systems. Our method adopts a novel isomorphic convolutional neural network (CNN)-based forecaster-classifier-executor architecture to exploit CNN-based price and trend integrated prediction and direct-reinforcement-learning-based trading decision-making. IFF-BOTS can also achieve better real-time performance for online trading. We empirically compare the proposed approach with state-of-the-art prediction and trading methods on real-world S&P and DJI datasets. The results show that the IFF-BOTS outperforms its competitors in predicting metrics, trading profits, and real-time performance.
Application of a maritime CFD code to a benchmark problem for non-Newtonian fluids: the flow around a sphere
Authors: Lovato Stefano , Toxopeus Serge , Settels Just , Keetels Geert
Published: July 2022

The ship’s resistance and manoeuvrability in shallow waters can be adversely influenced by the presence of fluid mud layers on the seabed of ports and waterways. Fluid mud exhibits a complex non-Newtonian rheology that is often described using the Herschel–Bulkley model. The latter has been recently implemented in a maritime finite-volume CFD code to study the manoeuvrability of ships in the presence of muddy seabeds. In this paper, we explore the accuracy and robustness of the CFD code in simulating the flow of Herschel–Bulkley fluids, including power-law, Bingham and Newtonian fluids as particular cases. As a stepping stone towards the final maritime applications, the study is carried out on a classic benchmark problem in non-Newtonian fluid mechanics: the laminar flow around a sphere. The aim is to test the performance of the non-Newtonian solver before applying it to the more complex scenarios. Present results could also be used as reference data for future testing. Flow simulations are carried out at low Reynolds numbers in order to compare our results with an extensive collection of data from the literature. Results agree both qualitatively and quantitatively with literature. Difficulties in the convergence of the iterative solver emerged when simulating Bingham and Herschel–Bulkley flows. A simple change in the interpolation of the apparent viscosity has mitigated such difficulties. The results of this work, combined with our previous code verification exercises, suggest that the non-Newtonian solver works as intended and it can be thus employed on more complex applications.
Picture fuzzy Z-linguistic set and its application in multiple attribute group decision-making
Authors: Chen Liuxin , Wang Yutai , Yang Dongmei
Published: July 2022

Picture fuzzy linguistic set is a vital solution to express complex and uncertain information, which has been applied in multi-attribute group decision-making (MAGDM). However, the credibility of decision-making information is unconsidered, which may give rise to the inaccuracy of final result. To solve this problem, the picture fuzzy Z-linguistic set (PFZLS) composed of linguistic term, picture fuzzy number, and credibility is proposed, which could express more complete decision-making information. Subsequently, operation rules, comparison methods, and distance measures of PFZLS are introduced. In addition, the weighted geometric average operator and the classical VIKOR method are extended and combined to solve the MAGDM problem under the picture fuzzy Z-linguistic environment. Finally, an illustrative example about the emergency decision-making (EDM) problem of forest fire accident is proposed, and a series of comparative analyses are presented to verify the rationality and superiority of the PFZLS.
An exact inversion method for multi-input-single-output decomposable TS fuzzy systems
Authors: Ulu Cenk
Published: July 2022

Almost all exact inversion methods provide inverse solutions for only one input variable of fuzzy systems. These methods have certain limitations on the fuzzy system structure such as monotonic rule bases, singleton rule consequents, and invertibility check. These requirements limit the modeling capabilities of the fuzzy systems and also may result in poor application performances. In this study, an exact analytical inversion method is presented for multi-input-single-output decomposable TS fuzzy systems with either singleton or linear consequents. In the proposed method, fuzzy system structures do not need to have monotonic rule bases, singleton rule consequents, or any invertibility conditions. Thus, more flexible fuzzy systems can be used in inverse model based applications. The proposed method provides a simple and systematic way to obtain unique inverse solutions of all input variables simultaneously with respect to any desired system output value. For this purpose, an inversion trajectory approach that guarantees the existence and uniqueness of the inverse solutions is introduced. The inversion trajectory consists of a set of paths defined on the specific edges of universe of discourses of the decomposed fuzzy subsystems. Using this approach, the inverse definition of the overall fuzzy system can easily be derived only by inverting the related decomposed fuzzy subsystems on this inversion trajectory and then combining their inverse definitions. In this way, the inverse definition of the overall fuzzy system is obtained as consisting of analytical solutions of linear and quadratic equations for singleton and linear consequent cases, respectively. Simulation studies are given for the inversion of two and three-input-single-output fuzzy systems, and the exactness and effectiveness of the proposed method are demonstrated.
Activity detection and counting people using Mask-RCNN with bidirectional ConvLSTM
Authors: Singh Upendra , Gupta Puja , Shukla Mukul
Published: July 2022

Image Incorporation concerns, including background confusion, uneven population distribution, and variations in scale and familiarity, can make group counting difficult. Pre-existing information and multi-level contextual representations are required to handle these problems effectively with deep neural networks and Mask-RCNN. Numerous studies on crowd counting use density maps without segmentation, which treat a group of individuals as a single entity. This article offers a hybrid method for crowd counting that combines Mask-RCNN (MRCNN) and a bidirectional convolutional long-term memory network (ConvLSTM), dubbed (CC: MRCNN-biCLSTM). The CC: MRCNN-biCLSTM is based on the Mask-RCN; it first segments instances and generates density maps, which are passed into adversarial learning during the training phase. Finally, the bidirectional convolutional LSTM is being used to return metrics and counts for individuals within a group of individuals. Following that, the suggested activity detection technique based on the Bayesian non-linear filter AD-BNF is used to identify a person’s activity. Additionally, the suggested approach resolves human grouping and enhances metric performance. Extensive studies demonstrate that the suggested method outperforms more sophisticated techniques on four frequently used difficult criteria for density map precision and quality.
RETRACTED: Double Hybridized artificial network for the prediction of HPC concrete compressive strength
Authors: Wang Huifang , Zhang Shili
Published: July 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
A short-term building energy consumption prediction and diagnosis using deep learning algorithms
Authors: Li Xiang , Yu Junqi , Wang Qian , Dong Fangnan , Cheng Renyin , Feng Chunyong
Published: July 2022

Short-term energy consumption prediction of buildings is crucial for developing model-based predictive control, fault detection, and diagnosis methods. This study takes a university library in Xi’an as the research object. First, a time-by-time energy consumption prediction model is established under the supervised learning approach, which uses a long short-term memory (LSTM) network and a Multi-Input Multi-Output (MIMO) strategy. The experimental results validate the model’s validity, which is close enough to physical reality for engineering purposes. Second, the potential of the people flows factor in energy consumption prediction models is explored. The results show that people flow has great potential in predicting building energy consumption and can effectively improve the prediction model performance. Third, a diagnostic method, which can recognize abnormal energy consumption data is used to diagnose the unreasonable use of the building during each hour of operation. The method is based on differences between actual and predicted energy consumption data derived from a short-term energy consumption prediction model. Based on actual building operation data, this work is enlightening and can serve as a reference for building energy efficiency management and operation.
Congenital or Early Developing Neuromuscular Diseases Affecting Feeding, Swallowing and Speech – A Review of the Literature from January 1998 to August 2021
Authors: Sjögreen Lotta , Bengtsson Lisa
Published: July 2022

Background:

The knowledge about the impact of oral motor impairment in neuromuscular diseases (NMDs) is limited but increasing.

Objective:

The aim of this review was to collect and compile knowledge on how muscle weakness in congenital or early developing NMDs directly or indirectly affects feeding, swallowing, speech and saliva control.

Methods:

A literature search was performed in PubMed from January 1, 1998, to August 31, 2021. The keywords “feeding”, “dysphagia”, “swallowing”, “dysarthria”, “speech”, “drooling” and “sialorrhea” were used in combination with “paediatric neuromuscular disease” or specific diagnoses.

Results:

Sixty-five studies were selected for the review, 33 focused on feeding and swallowing, 11 on speech, four on a combination of feeding, swallowing, saliva control or speech and 17 general descriptions. Most of the studies reported on patients with a disorder affecting muscles. These studies show that muscle weakness and impaired motility affecting the muscles innervated by the cranial nerves may influence feeding, swallowing, and speech, and that respiratory function, general health and neurodevelopmental delay also influence these functions. Feeding impairment and breathing difficulties are common in NMDs. Lifesaving interventions such as tube feeding and ventilatory support are common in severe cases.

Conclusions:

Feeding impairment, dysphagia and dysarthria are prevalent in NMDs with congenital or early age of onset. Feeding and swallowing has been studied more than speech and saliva control. More children with NMD survive thanks to new treatment options and it is therefore urgent to follow up how these therapies may impact the development of feeding, swallowing, and speech.
Management of benign paroxysmal positional vertigo (BPPV) post head injury: Case Study from the emergency department
Authors: Martin Louise , Lyons Marian
Published: July 2022

BACKGROUND: Head trauma can cause secondary benign paroxysmal positional vertigo (BPPV). BPPV is a common peripheral condition which can lead to significant morbidity, psychosocial impact and increased medical costs [1]. CASE DESCRIPTION: A patient post fall with an associated head trauma presented to the emergency department with severe vertigo, nausea, and decreased mobility. The patient was assessed and treated by a vestibular trained physiotherapist. The patient was treated with one Epley repositioning manoeuvre and had complete resolution of symptoms and was discharged home the same day. CONCLUSION: BPPV can be successfully identified and treated by vestibular trained physiotherapists in the emergency department. Early access to vestibular trained physiotherapy in the emergency department resulted in diagnosis and evidence-based treatment of BPPV which prevented hospital admission and improved this patient’s outcome. The patient had complete resolution of symptoms post the repositioning manoeuvre and was discharged to home.
An update on the knee osteoarthritis severity grading using wide residual learning
Authors: Helwan Abdulkader , Azar Danielle , Abdellatef Hamdan
Published: July 2022

BACKGROUND: Knee Osteoarthritis (KOA) is the most common type of Osteoarthritis (OA) and it is diagnosed by physicians using a standard 0 –4 Kellgren Lawrence (KL) grading system which sets the KOA on a spectrum of 5 grades; starting from normal (0) to Severe OA (4). OBJECTIVES: In this paper, we propose a transfer learning approach of a very deep wide residual learning-based network (WRN-50-2) which is fine-tuned using X-ray plain radiographs from the Osteoarthritis Initiative (OAI) dataset to learn the KL severity grading of KOA. METHODS: We propose a data augmentation approach of OAI data to avoid data imbalance and reduce overfitting by applying it only to certain KL grades depending on their number of plain radiographs. Then we conduct experiments to test the model based on an independent testing data of original plain radiographs acquired from the OAI dataset. RESULTS: Experimental results showed good generalization power in predicting the KL grade of knee X-rays with an accuracy of 72% and Precision 74%. Moreover, using Grad-Cam, we also observed that network selected some distinctive features that describe the prediction of a KL grade of a knee radiograph. CONCLUSION: This study demonstrates that our proposed new model outperforms several other related works, and it can be further improved to be used to help radiologists make more accurate and precise diagnosis of KOA in future clinical practice.
Dosimetric comparison of mDCAT and VMAT techniques according to 6MV-FFF and 10MV-FFF energies in patients with single adrenal metastasis
Authors: Durmus Ismail Faruk , Okumus Ayse
Published: July 2022

OBJECTIVE: To compare dosimetric and radiobiological terms of modified dynamic conformal arc therapy (mDCAT) and volumetric modulated arc therapy (VMAT) techniques using different flattening-filter free (FFF) energies in patients with single adrenal metastasis. METHODS: In this study, plans were prepared for 10 patients drawing on the mDCAT and VMAT techniques with 6MV-FFF and 10MV-FFF energies. Target volume doses, biological effective doses (BED), quality indices, Monitor Unit (MU), number of segments, beam-on time and critical organ doses were compared in the plans. RESULTS: Plans with the significantly lower gradient index (GI) and conformity index (CI) values were obtained with 6MV-FFF energy VMAT planning (p < 0.05). The higher values were obtained for dose to 95% of internal target volume (ITVD95), ITVD95-BED10 with 10MV-FFF energy VMAT planning, whereas lower results were obtained for high dose spillage (HDS%) values (p < 0,05). With 10MV-FFF energy, HDS% values were 21.1% lower in VMAT plans and 5.6% lower in mDCAT plans compared to 6MV-FFF energy. Plans with approximately 50% fewer segments were obtained in mDCAT plans than VMAT plans (p < 0,05). Beam-on time values with mDCAT was 1.84 times lower when 6MV-FFF energies were analyzed, and 2.11 times lower when 10MV-FFF was analyzed (p < 0,05). Additionally, when 6MV-FFF and 10MV-FFF energies were examined, MU values with mDCAT were 2.1 and 2.5 times lower (p < 0,05). In general, the smaller the target volume size, the greater the differences between MU and beam-on time values mDCAT and VMAT. CONCLUSIONS: The study results implied that VMAT enabled to offer significantly more conformal SBRT plans with steeper dose fall-off beyond the target volume for single adrenal metastasis than the mDCAT, which attained at the cost of significantly higher MU and beam-on times. Especially with 10MV-FFF energy mDCAT plans, low-dose-bath zones can be reduced, and shorter-term treatments can be implemented with large segments. In adrenal gland SBRT, higher effective doses can be achieved with the right energy and technique, critical organ doses can be reduced, thus increasing the possibility of local control of the tumor with low toxicity.