bluuebunny/crossref_metadata_2025 huggingface dataset:
EFFECTIVENESS OF CORRECTION OF GERIATRIC STATUS OF ELDERLY PATIENTS WITH MOVEMENT CONSEQUENCES OF TOTAL KNEE ARTHROPLASTY USING PHYSICAL THERAPY
Authors: Petruniv Ch.V.
Published: August 2023

The aim of the study was to evaluate the effectiveness of the influence of the developed program of physical therapy on the parameters of the geriatric status of elderly patients with motor consequences of total knee arthroplasty in the long-term period after surgery. 

Material and methods. 80 elderly people were examined. The control group consisted of 24 people without joint endoprostheses with no signs of geriatric syndromes. The comparison group consisted of persons with a knee joint endoprosthesis and sarcopenia with low rehabilitation compliance with respect to rehabilitation intervention. Representatives of the main group with a knee joint replacement and sarcopenia were engaged in a physical therapy program using functional training on the Prosedos platform, therapeutic exercises, massage, kinesiology taping, nutrition correction, and patient education. The effectiveness of the program was evaluated by the dynamics of the Senior Fitness Test, Tinetti-test (Performance-Oriented Mobility Assessment), Geriatric Depression Scale, Tampa Kinesiophobia Scale. 

Results. The geriatric status of the examined patients was characterized by muscle weakness (statistically significant lag in parameters of physical status - coordination, static and dynamic balance, strength, flexibility, endurance, dexterity compared to their peers according to the Senior Fitness Test, Tinetti-test), high risk of falling, kinesiophobia and psycho-emotional depression, which increases the risk of loss of autonomy and death. The developed program of physical therapy revealed an improvement in the condition of the patients of the main group due to the influence on the links of the pathogenesis of geriatric syndromes due to the improvement of balance and gait parameters, reduction of the risk of falling and fear of movements, improvement of the psycho-emotional status in comparison with the initial indicators in all studied parameters (р<0.05). The low rehabilitation compliance of patients in the comparison group, despite the awareness of the risks of poly morbidity, was associated with the lack of improvement in the condition after a similar observation period. 

Conclusions. Elderly patients with the consequences of total knee arthroplasty and signs of geriatric syndromes need to develop physical therapy programs that take into account and correct the specifics of each condition, which will increase the overall effectiveness of rehabilitation measures.
THE RELATIONSHIP BETWEEN THE ANATOMY FEATURES OF THE STRUCTURES OF THE PHARYNX AND THE DEVELOPMENT OF OBSTRUCTIVE SLEEP APNOEA SYNDROME IN ADULTS.
Authors: Shevchuk Yu. , Dieieva Yu.
Published: August 2023

The aim. To assess the correlation between subjective measurements and objective volume of palatine tonsils in adults, and to test the effect of oropharyngeal anatomy, body mass index, age, and OSA severity on actual tonsil volume. In addition, we evaluated the effect of tonsil size on the development of OSA in adults.

Materials and methods. A prospective study of 130 patients with rhonchopathy and obstructive sleep apnea syndrome was conducted. Patients underwent a physical examination, nocturnal polysomnography, Epworth Sleepiness Scale, body mass index (BMI, kg/m²), and a subjective assessment of snoring on an analog scale from 1 (not important) to 10 (worst possible).

Results: pharyngeal tissues are also found to be proportional to body size in both patients with rhonchopathy and patients with OSA, which indicates a secondary role of anatomy in the pathogenesis of OSA development. Tonsil volume (p = 0.053) tended to correlate with the degree of severity OSA There were no significant differences in the mean apnea-hypopnea index (AHI) between patients with grade I (30.5), II (29.6), or III (38.2) tonsil hypertrophy. Patients with grade IV tonsil hypertrophy had a higher AHI (mean 103.2) than patients with grade I (p = 0.01), II (p = 0.01) or III (p = 0.03) hypertrophy.

Conclusions: In adult patients with rhonchopathy and OSA, there is a reliable correlation between the clinical degree of tonsil hypertrophy and the objective volume of the tonsils. Possible changes in pharyngeal geometry associated with OSA do not affect the clinical ability to determine tonsil volume. Although tonsil volume correlates with AHI, clinically only grade IV tonsils are predictive of severe OSA. Pharyngeal tissue volume likely reflects body mass index rather than OSA.
COMPARATIVE CHARACTERISTICS OF SUBSTANCE P CONCENTRATION AND NEUROPATHIC PAIN COMPONENT IN PATIENTS WITH ACUTE AND CHRONIC COURSES OF VERTEBROGENIC LUMBAR-SACRAL PAIN SYNDROMES
Authors: Payenok A.V. , Kulyk A. R.
Published: August 2023

The aim. The primary aim of this study is to assess the variance in substance P concentration, taking into account pain intensity and the presence of a neuropathic component, among patients experiencing acute and chronic vertebral lumbosacral pain syndromes.

Materials. Measurement of substance P concentration in serum blood, evaluation of pain syndrome using the VAS scale, and assessment of pain according to the DN4 questionnaire were performed in patients receiving comprehensive treatment. A total of 125 patients were included in the study, comprising 65 patients with acute pain and 60 patients with chronic pain syndrome.

Results. Pain ratings according to the Visual Analog Scale (VAS) among patients from the acute pain group was 7.15±1.07 on the VAS scale, while patients in the chronic pain group rated it at 6.09±0.96. On the 7th day of treatment, patients in the acute pain group reported a pain rating of 4.46±0.73, whereas those in the chronic pain group reported a rating of 4.22±0.97. The level of substance p(SP) in serum blood on the first day of treatment was 13.96±1.93 ng/mL in the acute pain group and 10.34±2.92 ng/mL in the chronic pain group. By the 7th day of treatment, the level decreased to 7.72±1.90 ng/mL in the acute pain group and 8.03±2.14 ng/mL in the chronic pain group. According to the DN4 questionnaire, neuropathic component was ascertained in 38% of patients with acute pain syndrome and 56% of participants with chronic pain. The average DN4 score in the acute pain group was 2.26±1.01, while in the chronic pain group, it was 4.53±1.02. In the group of patients with chronic pain syndrome and the presence of a neuropathic component, the level of SP was 10.89±1.78 ng/mL. In contrast, without the presence of a neuropathic component, it was 6.51±1.94 ng/mL.

Conclusions. The trajectory of acute and chronic pain syndromes in patients with lumbosacral vertebral pain syndromes exhibits dissimilarities. Patients experiencing acute pain displayed a more favorable trend characterized by a reduction in pain intensity and a decrease in pain-related neurotransmitter concentration in the bloodstream.
The Results of Toxoplasma gondii Examination IgM Antibodies Using ICT Method and ELISA Method in Pregnant Women
Authors: Nadayang Syifa Amelia , Fajrunni'mah Rizana
Published: August 2023

Toxoplasmosis is a disease that can infect animals and zoonotic in humans. In pregnant women (congenital toxoplasmosis), the risk and severity of symptoms of congenital toxoplasmosis are more severe if infection occurs early in pregnancy and asymptomatic. The only way to determine disease is by serological screening. Serological diagnosis techniques for toxoplasmosis include ELISA (Enzyme-linked Immunosorbent Assay) and ICT (Immunochromatography Assay Test). However, until now, research on toxoplasmosis with the ICT method is still minimal. This study aims to analyze the results of the IgM antibody examination Toxoplasma gondii using the ICT method with the ELISA method and calculate the sensitivity and specificity of the ICT method and the ELISA method in pregnant women. The research design was used analytic (cross-sectional), with the number of samples is 33 serums. Data from the ELISA method obtained from secondary medical record data and the remaining serum samples were examined by the ICT method by researchers at the Harapan Kita Hospital Laboratory. In the ICT method, two samples (6.1%) were positive, and 31 samples (93.9%) were negative. In the ELISA method, results obtained similar to the ICT method, two samples (6.1%) positive and 31 samples (93.9%) with negative results. Toxoplasmosis examination can be done using the ICT method as the initial serological screening stage, but it not recommended as a diagnosis enforcer.
Animal Models with Metabolic Syndrome Markers Induced by High Fat Diet and Fructose
Authors: Hidayati Larantika , Widodo Agung Dwi Wahyu , Hidayat Boerhan
Published: August 2023

Metabolic syndrome is lipid and non-lipid metabolism disorder due to the association of several factors such as physiological, clinical, biochemical, and interrelated factors. People with metabolic syndrome can be diagnosed by fulfilling 3 of 5 criteria, including obesity and increased waist circumference, increased TG levels, increased blood pressure, hyperglycemia, and increased High-Density Lipoprotein (HDL) serum. The high-fat diet disrupts tissue lipid metabolism, so insulin resistance occurs due to lipotoxicity. Besides, some studies use a combination of mixtures (fructose, sucrose) and fat-rich food components to build metabolic characteristics in mice that affect human characteristics. The purpose of this study was to make an animal model with a metabolic syndrome marker induced by the High Fat Diet (HFD) consisting of pork oil and chicken egg yolk, as well as fructose from simple and economical ingredients. This study was an experimental study using experimental animals of male Rattus norvegicus strain wistar, which were grouped into three random treatment groups, namely the control group, HFD group, and High Fat Diet Fructose (HFDF) group. The number of samples used was 27 rats, with nine rats in each group. The animal was induced for four weeks, then measured levels of FPG, HD, and TG. From the research that has been done, it is found that there are significant differences in levels of Fasting Plasma Glucose (FPG), High-Density Lipoprotein (HDL), and Triglycerides (TG) (p
A Study Related to Effects of the Brucellosis on Osteoporosis
Authors: Sayiner Hakan Sezgin , Akgün Sadık , Küçükkaya Yunus , Başaran Murat Alper , Vural Hüseyin
Published: August 2023

Brucellosis is one of the infectious diseases that may increase osteoporosis risk. Bone formation and destruction markers analyzed in the examination of osteoporosis risk. There been many studies on the effect of a variety of diseases on the bone, but no studies have conducted for brucellosis. This study is one of the rare studies showing the effect of brucellosis on a bone. The purpose of this study is that whether age, agglutination level, having brucellosis at the time or before, and gender knowledge of patients have effects on osteoporosis by using bone formation and destruction markers. Between 01/04/2015 and 31/12/2017, blood samples were taken from 40 patients with brucellosis and seven patients whose treatment completed at least six months before. Then biochemical markers were studied on these blood samples. ELISA washer and reader (Biotek, Novatek, Istanbul, Turkey) was used to obtain the values of bone formation and destruction markers. There was a significant difference, according to H. Osteocalcin (Human Osteocalcin/Bone Gla Protein), in terms of bone formation markers and was higher in women. Having brucellosis at the time was significant according to Human deoxypyridinoline (DPD) and Human C-telopeptide of type I collagen (CTX-I) in terms of bone destruction markers and was higher in brucellosis. The bone formation and destruction markers strongly correlated with each other in the same direction. It is thought that brucellosis can increase bone destruction markers, especially DPD (Human deoxypyridinoline) and CTX-I; therefore, osteoporosis risk in brucella patients can reduce by implementing a treatment plan that closely monitors bone destruction markers.
Hemoglobin Levels on Trichuris trichiura Infection in Children
Authors: Aryadnyani Ni Putu , Inderiati Dewi , Ulfah Fauzia
Published: August 2023

Worm infections often caused by worms transmitted through the soil (Soil-Transmitted Helminths). Types of STH worms include roundworms (Ascaris lumbricoides), whipworms (Trichuris trichiura) and hookworms (Ancylostoma duodenale and Necator Americanus). Worms commonly suffered by school-age children with the most aged between 5-14 years. Worms can affect the intake, digestion, absorption, and metabolism of food, which can result in loss of protein, carbohydrates, fats, and vitamins. Trichuris trichiura and hookworm can cause massive amounts of blood loss and decreased hemoglobin levels. This study aims to determine the relationship of Trichuris trichiura infection with hemoglobin levels in children in the village of East Serang Kilasah, Banten. This research is an analytic survey with a cross-sectional design with 42 respondents. The sampling technique used was purposive sampling. The results of the fecal examination by the Kato-Katz method found 23 children (54.76%) with mild worm levels and 19 children (45.24%) with moderate worm levels. The results of blood tests found 36 children (85.71%) with normal hemoglobin levels and six children (14.79%) with low hemoglobin levels. Based on the results of statistical tests, the results obtained P-value 0.004 (P-value
Lowering propionic acid levels by regulating gut microbiota with ursodeoxycholic acid appears to regress autism symptoms: an animal study
Authors: KARAKAŞ Levent , SOLMAZ Volkan , BAĞCIOĞLU Erman , OZKUL Bahattin , SÖĞÜT İbrahim , UYANIKGİL Yiğit , ERBAŞ Oytun
Published: August 2023

Aims: Patients with autism have altered gut microbiata, including higher frequency of bacteroidetes and clostridiales that produce of propionic acid (PPA) –a compound that is established as an autism-inducing agent. We hypothesized that lowering the PPA levels by regulating gut microbiata with ursodeoxycholic acid (UDCA) can regress the autism symptoms. The aim of this study is to examine the potential ameliorating effects of UDCA on a PPA-induced rat model of autism.

Methods: Thirty male Wistar albino rats were divided into three groups: controls, PPA-induced (5 days of intraperitoneal 250 mg/kg/day dosage) autism model receiving oral saline, and PPA-induced autism model receiving oral UDCA (100 mg/kg/day). Oral treatments were applied for 15 days. At the end of the 15th day, all rats underwent behavioral tests and MR spectroscopy. At the end of the study, all animals were sacrificed and brain tissue / blood samples were collected for histopathological and biochemical analyses.

Results: Sociability test, open field test and passive avoidance learning tests were impaired, similar to the autism behavioral pattern, in PPA recipients; however, results were closer to normal patterns in the PPA+UDCA group. Biochemically, MDA, TNF-alpha, IL-2, IL-17, NF-kB, lactate, NGF and NRF2 levels in brain tissues showed significant differences between controls and the PPA+Saline group, and between the PPA+Saline group and the PPA+UDCA group (p< 0.05, for all). Histopathology showed that PPA injection caused increased glial activity, neural body degeneration, decreased neural count and dysmorphic changes in hippocampal and cerebellar tissues (p
A scientometric analysis of the relationship between functional dyspepsia and anxiety
Authors: TUTAN Duygu , ERDOĞAN KAYA Ayşe
Published: August 2023

Aims: Functional dyspepsia is a common disorder characterized by persistent or recurrent upper gastrointestinal tract symptoms without underlying disease or structural abnormalities that can have a significant impact on an individual's overall quality of life. Studies in the literature indicate that anxiety also plays an important role in the etiology of functional dyspepsia. Early diagnosis and treatment of the underlying anxiety disorder are important to relieve dyspeptic symptoms. In this study, the aim was to examine the studies related to functional dyspepsia and anxiety using the bibliometric method.

Methods: Clarivate Analytics' Web of Science database was used to search for articles and reviews on functional dyspepsia and anxiety between 1980 and 2022. VOSviewer, Tableau, and IBM SPSS Statistics were used for bibliometric network visualization and statistical analyses. A regression analysis using a nonlinear exponential model was used to forecast the number of publications in the next years. Keyword network visualization maps were used to identify recent trends and relationships.

Results: The Web of Science database included 560 articles and reviews about functional dyspepsia and anxiety between 1991 and 2023, with the top 5 research areas being Gastroenterology, Clinical Neurology, Neurosciences, Psychiatry, and General Internal Medicine. The collaborative clustering network map shows four distinct clusters based on total link strength scores, and the correlation between Gross Domestic Product (GDP) and the number of studies published suggests that countries with higher GDP tend to publish more studies. Since 2015, the amount of published materials on the topic has dramatically increased and is continuing to rise.

Conclusion: There has been an upward trend in publications about the relationship between functional dyspepsia and anxiety since the 2010s, with the top ten countries with the greatest number of publications being mostly wealthy nations. The most cited journal on the topic was the American Journal of Gastroenterology, with 1441 total citations. Our findings suggest that this is a rapidly evolving field with a broad range of research topics.
Retrospective evaluation of the prevalence of endodontic-periodontal lesions on panoramic images in the latest classification of periodontal and peri-implant diseases
Authors: GÜNEÇ Hüseyin Gürkan , PAKSOY Tuğçe , ATALAY Caner , AYDIN Kader
Published: August 2023

Aims: This study aimed to determine the prevalence of endodontic-periodontal lesions (EPLs) and EPL grades 1–3 without root damage in patients with and without periodontitis according to the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases.

Methods: This study included 500 panoramic radiographs from the Faculty of Dentistry at the University of İstanbul Medipol. Each radiograph was evaluated by a calibrated investigator for diagnostic signs. Patients’ age, sex, total number of teeth, total number of implants, number of filled teeth, number of missing teeth, number of caries, presence of fixed prosthesis, full mouth periodontal diagnosis and determination of the region with the highest radiographic bone loss without EPL were recorded in all patients. For patients with EPL, the presence of EPL and its grading according to the 2017 World Workshop on Classification of Periodontal and Peri-Implant Diseases, the presence of furcation involvement, degree of furcation involvement, the presence of caries in the related tooth, and restoration in the relevant tooth material were also evaluated.

Results: The mean age was higher for patients with EPL teeth than without EPL teeth (p
Evaluation of shaping performance and surface changes of two different minimally invasive shaping file systems used in resin blocks
Authors: YENİÇERİ ÖZATA Merve , FALAKALOĞLU Seda , ESKİBAĞLAR Mehmet
Published: August 2023

Aims: This study aimed to compare the shaping ability of T-endo MIS and TruNatomy (TRN) file systems in J-shaped resin root canals and to investigate the deformation of the files after two acrylic block preparation and two sterilization cycles. Methods: Forty acrylic blocks were numbered, then four file groups (n=10) were established: T-endo MIS glider (15.04) + T-endo MIS Finisher (25.04) (first and second usage) and TRN Glider (17.02) + TRN Prime (26.04) (first and second usage). Preoperative and postoperative images after the root canal preparation of simulated acrylic blocks were taken for each sample, and superimposed. The amount of resin removed from both the inner and outer walls of the canal to the level of 3, 5, and 7 mm from the apical point was measured, and the amount of transportation was calculated. Additionally, the deformation of the files was examined under a scanning electron microscope before and after usage and sterilization process. Results: Tip deformation of TRN files increased with the number of uses (p=0.007). With the second use, the surface deformation of the MIS files increased (p=0.015). There was no difference in cutting-edge deformation in either file type according to the number of uses (p>0.05). There was no difference in transportation values between the MIS and TRN file systems at any level (p>0.05). The file systems did not show a significant difference in the amount of transportation between first and second use (p>0.05). Conclusion: When TRN (26.04) and MIS (25.04) NiTi rotary files were used twice on acrylic blocks, the amount of deformation did not differ. Both file types were similar in terms of transportation values.
Effects of vibration-based biofeedback on multifidus muscle activity and pelvic tilt angle in subjects with hip flexion limitation
Authors: Jang Tae-Jin , Jeon In-Cheol
Published: August 2023

BACKGROUND: Sedentary work may lead to low back pain. In particular, a slumped sitting position may exacerbate low back pain because of tissue damage caused by excessive lumbar flexion and posterior pelvic tilting. Subjects with low back pain may have excessive changes in the lumbopelvic posture and back muscle activity in the sitting position. OBJECTIVE: The purpose of this study was to compare the effects of vibration-based biofeedback using a motion sensor belt and no biofeedback on multifidus (MF) muscle activity and pelvic tilt angle during typing. METHODS: Thirty subjects with low back pain accompanied by hip flexion limitation (15 each in the biofeedback and non-biofeedback groups) were enrolled. Electromyography was used to investigate MF muscle activity before and after typing for 30 min. Pelvic tilt was measured after typing in a sitting position for 30 min. Independent t-tests were used to compare MF muscle activity, and pelvic and second sacrum tilt angles, between the biofeedback and non-biofeedback groups. RESULTS: After typing for 30 min, changes in MF muscle activity (11.45% and -7.19% for the biofeedback and nonbiofeedback groups, respectively) and pelvic and second sacrum tilt angles (3.15∘ and 4.12∘ for the biofeedback group and -11.05∘ and -18.16∘ for the non-biofeedback group, respectively) were significantly smaller in the biofeedback than non-biofeedback group (p< 0.05). CONCLUSION: Vibration-based biofeedback minimizes the reduction in MF muscle activity and changes in pelvic and second sacrum tilt angles during typing in individuals with low back pain accompanied by hip flexion limitation.
Pan-TRK immunohistochemistry as screening tool for NTRK fusions: A diagnostic workflow for the identification of positive patients in clinical practice
Authors: Vingiani Andrea , Lorenzini Daniele , Conca Elena , Volpi Chiara Costanza , Trupia Desirè Viola , Gloghini Annunziata , Perrone Federica , Tamborini Elena , Dagrada Gian Paolo , Agnelli Luca , Capone Iolanda , Busico Adele , Pruneri Giancarlo
Published: August 2023

BACKGROUND: Pan-TRK inhibitors Entrectinib and Larotrectinib have been recently approved as tumor-agnostic therapies in NTRK1-2-3 rearranged patients and there is therefore an urgent need to identify reliable and accessible biomarkers for capturing NTRK fusions in the real-world practice. OBJECTIVE: We aim to assess the analytical validity of the recently released pan-TRK assay (Ventana), running a head-to-head comparison between immunohistochemistry and Archer FusionPlex Lung Panel (ArcherDX) that is designed to detect key fusions in 13 genes, also including NTRK1-3. METHODS: Pan-TRK IHC and NGS analysis were conducted on a retrospective/prospective cohort of 124 cancer patients (carcinomas, 93 cases; soft tissue sarcomas, 19; primary central nervous system tumours, 10; and neuroblastomas, 2). FISH data were available in most of the IHC/NGS discordant cases. RESULTS: A comparison between IHC and NGS results was carried out in 117 cases: among 30 pan-TRK positive cases, NTRK rearrangement by NGS was found in 11 (37%), while one of the 87 (1.1%) pan-TRK negative cases (a case of NSCLC) showed a TPM3-NRTK1 rearrangement by NGS. Accordingly, sensitivity and specificity of IHC in predicting NTRK status were 91.7% and 81.9%, respectively, while negative (NPV) and positive predictive value (PPV) were 98.8% and 36.7%, respectively. CONCLUSIONS: These data lead to suggest that IHC with VENTANA pan-TRK antibody can be a reliable screening tool for the identification of patients potentially bearing NTRK rearranged tumours.
Machine learning methods revealed the roles of immune-metabolism related genes in immune infiltration, stemness, and prognosis of neuroblastoma
Authors: Mu Jianhua , Gong Jianan , Lin Peng , Zhang Mengzhen , Wu Kai
Published: August 2023

BACKGROUND: Immunometabolism plays an important role in neuroblastoma (NB). However, the mechanism of immune-metabolism related genes (IMRGs) in NB remains unclear. This study aimed to explore the effects of IMRGs on the prognosis, immune infiltration and stemness of patients with NB using machine learning methods. METHODS: R software (v4.2.1) was used to identify the differentially expressed IMRGs, and machine learning algorithm was used to screen the prognostic genes from IMRGs. Then we constructed a prognostic model and calculated the risk scores. The NB patients were grouped according to the prognosis scores. In addition, the genes most associated with the immune infiltration and stemness of NB were analyzed by weighted gene co-expression network analysis (WGCNA). RESULTS: There were 89 differentially expressed IMRGs between the MYCN amplification and the MYCN non-amplification group, among which CNR1, GNAI1, GLDC and ABCC4 were selected by machine learning algorithm to construct the prognosis model due to their better prediction effect. Both the K-M survival curve and the 5-year Receiver operating characteristic (ROC) curve indicated that the prognosis model could predict the prognosis of NB patients, and there was significant difference in immune infiltration between the two groups according to the median of risk score. CONCLUSIONS: We verified the effects of IMRGs on the prognosis, immune infiltration and stemness of NB. These findings could provide help for predicting prognosis and developing immunotherapy in NB.
A framework for the incorporation of digital scholarship contents in South African Library and Information Science Schools
Authors: Sibiya Philangani , Ngulube Patrick
Published: August 2023

Education curricula need constant updates in response to job market requirements, which may be influenced by the changing technological environment. In the library and information science (LIS) job market there are dynamics brought about by the Fourth Industrial Revolution (4IR). These dynamics call for LIS schools to reconsider their curricula in line with the job market. The job markets expect the education system to reflect their demands, as they are the primary clients. This study explored the education and training of LIS professionals on digital scholarship in line with the LIS curriculum in higher education institutions of South Africa. This was to enable the development of a framework for incorporating digital scholarship into the LIS curriculum. Wolf’s (2007) curriculum development model and an aspect of the customer satisfaction model (Zeithaml et al., 1993) informed the study. The models assisted in producing a framework that can be used to incorporate digital scholarship content into the LIS curriculum in South Africa. The framework suggests that when developing digital scholarship, consultation with relevant stakeholders both internal and external should be considered. Relevant infrastructure and resources should also be in place when developing a digital scholarship curriculum. The relevant infrastructure should include the 4IR-driven infrastructure such as smart sensors, three-dimension (3D) modeling, and cybersecurity tools, among others. Relevant documentation such as resources in the form of policies, course outlines, and other curriculum-related documents should also be consulted. This model, if adopted, could assist LIS schools in developing a curriculum that is driven by digital scholarship, leading to the production of LIS graduates that meet the requirements of the current LIS job market.
Chapter 13. Class Expression Learning with Multiple Representations
Authors: Ngomo Axel-Cyrille Ngonga , Demir Caglar , Kouagou N’Dah Jean , Heindorf Stefan , Karalis Nikoloas , Bigerl Alexander
Published: August 2023

Knowledge bases are now first-class citizens of the Web. Circa 50% of the 3.2 billion websites in the 2022 crawl of Web Data Commons contains knowledge base fragments in RDF. The 82 billion assertions known to exist in these websites are complemented by a roughly comparable number of triples available in dumps. As this data is now the backbone of a number of applications, it stands to reason that machine learning approaches able to exploit the explicit semantics exposed by RDF knowledge bases must scale to large knowledge bases. In this chapter, we present approaches based on continuous and symbolic representations that aim to achieve this goal by addressing some of the main scalability bottlenecks of existing class expression learning approaches. While we focus on the description logic ALC , the approaches we present are far from being limited to this particular expressiveness.
Chapter 14. Embedding-Based First-Order Rule Learning in Large Knowledge Graphs
Authors: Omran Pouya Ghiasnezhad , Wu Hong , Wang Zhe , Wang Kewen
Published: August 2023

Numerous large knowledge graphs, such as DBpedia, Wikidata, Yago and Freebase, have been developed in the last decade, which contain millions of facts about various entities in the world. These knowledge graphs have proven to be incredibly useful for intelligent Web search, question understanding, in-context advertising, social media mining, and biomedicine. As some researchers have pointed out, a knowledge graph is not just a graph database, but it should have a layer of conceptual knowledge, which is usually represented as a set of first-order rules. However, it is challenging to automatically extract first-order rules from large knowledge graphs. In particular, traditional models are usually unable to handle rule learning in large knowledge graphs. This chapter aims to present state-of-the-art techniques and models on learning first-order rules using representation learning. By first recalling some basics of rule learning in knowledge graphs, we will introduce useful techniques of embedding-based rule learning through major models such as RLvLR and TyRuLe, which embed paths in knowledge graphs into latent spaces for candidate rule search. Then we evaluate the rule learning efficiency and the quality of automatically learned rules by applying them in link prediction. Before the chapter is concluded, we will also discuss some future research problems in the area.
Chapter 16. Discovering Visual Concepts and Rules in Convolutional Neural Networks
Authors: Townsend Joe , Mansouri-Benssassi Esma , Ngan Kwun Ho , Garcez Artur d’Avila
Published: August 2023

This chapter provides an overview of ERIC (Extracting Relations Inferred from Convolutions), a solution to the extraction of explanations and human-comprehensible knowledge from Convolutional Neural Networks (CNNs). ERIC reduces the behaviour of one or more convolutional layers to a discrete logic program over a set of atoms, each corresponding to individual convolutional kernels. Extracted programs yield performances that correlate with those of the original model. When the logic rules are analysed alongside the data as a visual concept learner, ERIC has demonstrated the discovery of relevant concepts when applied to classification tasks, including those in fields with specialised knowledge such as radiology. Concepts with sharper edges seem to have a positive influence on the fidelity of extracted programs to the extent that ERIC was able to yield high fidelity on MNIST and in a traffic sign classification task of up to 43 classes. Also, extracted concepts may be transferred to a different CNN trained on a related but different problem in the same domain. For example, concepts identified for pleural effusion were transferable to a COVID-19 classification task. Also in the medical domain, ERIC has demonstrated the capability of identifying concepts used by CNNs that are not justified anatomically or used by medical doctors in their decision making. This chapter also briefly reviews Elite Backpropagation (EBP), which trains CNNs so that each class is associated with a small set of elite kernels and improves the performance of ERIC by inducing more compact rules while maintaining high fidelity.
A multi-layer multi-view stacking model for credit risk assessment
Authors: Han Wenfang , Gu Xiao , Jian Ling
Published: August 2023

Credit risk assessment plays a key role in determining the banking policies and commercial strategies of financial institutions. Ensemble learning approaches have been validated to be more competitive than individual classifiers and statistical techniques for default prediction. However, most researches focused on improving overall prediction accuracy rather than improving the identification of actual defaulted loans. In addition, model interpretability has not been paid enough attention in previous studies. To fill up these gaps, we propose a Multi-layer Multi-view Stacking Integration (MLMVS) approach to predict default risk in the P2P lending scenario. As the main innovation, our proposal explores multi-view learning and soft probability outputs to produce multi-layer integration based on stacking. An interpretable artificial intelligence tool LIME is embedded for interpreting the prediction results. We perform a comprehensive analysis of MLMVS on the Lending Club dataset and conduct comparative experiments to compare it with a number of well-known individual classifiers and ensemble classification methods, which demonstrate the superiority of MLMVS.
Assessing Longitudinal Cognitive Change in Mild Cognitive Impairment Using Estimated Standardized Regression-Based Formulas
Authors: Guevara Jasmin E. , Kurniadi Natalie E. , Duff Kevin
Published: August 2023

Background: Cognitive change in mild cognitive impairment (MCI), a likely prodrome to Alzheimer’s disease, can be tracked with repeated neuropsychological assessments, but there has been little work quantifying these changes over time. Cognitive change can be statistically examined using standardized regression-based (SRB) formulas, which yield a z-score indicating amount of change compared to a normative group. Objective: To use SRB z-scores to quantify cognitive change in a sample of patients classified as MCI at baseline, and to compare cognitive change in those who remained MCI on follow-up (MCI-Stable) and those who progressed to dementia (MCI-Decline). Methods: Using 283 MCI patients from a cognitive disorders clinic who were re-assessed after approximately one- and one-half years, SRB z-scores were calculated for each test in a comprehensive neuropsychological battery for each participant. Results: There was a significant decline between timepoints across all cognitive tests, with the greatest amount of decline on tests of learning and memory. Group differences were seen on nearly all cognitive tests, with the MCI-Decline group showing more decline (i.e., significantly larger and negative z-scores) than the MCI-Stable participants. Notable cognitive decline was also observed in the MCI-Stable group, with z-scores ranging from –0.01 – –2.24 compared to normative data. Conclusion: This study highlights the amount of cognitive decline that occurs in MCI, including for those who remain “stable” and those who progress to dementia. It also demonstrates the value of the SRB method in more clearly quantifying cognitive decline, which may help identify individuals most vulnerable to MCI progression.
Is Shadowing Behavior Caused by Body Representation Disorders and Apraxia?
Authors: Baumard Josselin
Published: August 2023

Shadowing is a person-following behavior, commonly observed in dementia (e.g., Alzheimer’s disease). It may be caused by neuropsychological impairments associated with posterior brain lesions, as Kudo et al. described it in a patient with posterior cortical atrophy and no frontal signs. These authors have suggested that shadowing may arise from the combination of visuospatial impairments, aphasia, apraxia, and prosopagnosia. However, how these symptoms may contribute to shadowing remains unclear. It is suggested that the combination of visuospatial impairments, body representation disorders, and apraxia, may result in complete loss of spatial representations and hence, shadowing behavior.
Dual observers based adaptive fuzzy output feedback control of a motor-driven launching platform with input saturation and disturbance rejection
Authors: Cao Mengmeng , Hu Jian , Wang Zeming , Yao Jianyong
Published: August 2023

In this paper, the high accuracy motion output feedback control of a kind of launching platforms driven by motors is focused. The launching platform is used to launch kinetic load to hit the target so it is susceptible to external disturbance. In addition, significant issues arise due to limitations on the plant inputs, such as actuator energy limits and velocity state is usually unavailable due to the limitation of system cost and volume. A new adaptive fuzzy output feedback controller based on dual observers is proposed for solving these problems. A smooth and continuous model is established for input saturation to compensate it. A sliding mode observer and a fuzzy observer with proper membership function are combined to estimate the unmeasured system states more accurately. An adaptive robust controller and the fuzzy observer are combined to realize a motion control with disturbance rejection, which allows correct adaptation while the plant input is saturated. Lyapunov theorem proves the bounded stability of the proposed controller when there exists observation error. Extensive comparative simulation and experiment results verify the effectiveness and practicability of the proposed controller and show that the control accuracy can be improved by an order of magnitude compared with the traditional PID controller and better than some other nonlinear controllers.
Representing complex vague soft set by quaternion numbers
Authors: Du Jinze , Wang Chang
Published: August 2023

Based on the quaternion system, we give a new representation of the complex vague soft set, and related logical operations. This new representation contains more information than before. Three quaternion distance measures are proposed and a decision model is established. The disease diagnosis of breast cancer is applied to the model to reflect the superiority of the model. By comparing the diagnostic errors under the different distance measures, the most suitable distance measure for this dataset is selected.
Optimized scheme for cluster head selection and EAMPR routing protocol design in WSN
Authors: Sathya Janaki R. , Nagarajan V.
Published: August 2023

Wireless sensor networks (WSN) is a popularly emerging technology with several opportunities to sustain in various field that require multipurpose sensor nodes, less energy and non-expensive system. But in the WSN, the radio transmission needs high amount of energy and this creates the critical problem. Hence consumption of energy has to be decreased to extend the network durability. Even though there are so many techniques existing for clustering approach of WSN, they have limitations like increased energy consumption, less delivery rate of data, redundancy and unbalanced network load. Hence, these problems are solved by introducing the energy efficient deep learning techniques for clustering and finding the optimal route. Initially the initialization process of system model is performed with the implementation of energy model. In WSN, energy consumption should be reduced to enhance the QoS and balance the network traffic. Hence clustering method is used to group up the sensor nodes and the optimal cluster head is selected with the proposed technique of hybrid cuckoo search and particle swarm optimization (CSO-PSO). As the CH is chosen, the optimal path of routing data should be found in addition with the procedure of optimization and it is done through the proposed model of Optimization based routing protocol that incorporates the Energy Aware Multi Point Routing (EAMPR) protocol along with the Improved Tuna Search Optimization (ITSO) algorithm. Finally, by the use of ITSO-EAMPR technique the energy consumption will get reduced with the decrease in relative mobility and high stability of nodes would be achieved. The simulations are proceeded and the outcomes are validated. The result obtained is compared with the traditional methods to show the effectiveness of proposed technique. As per the results obtained the proposed ITSO-EAMPR attains maximized PDR and Throughput, higher energy efficiency with extension in lifetime of WSN along with decrease in BER, end-to-end latency as compared to the existing techniques.
An integrated framework for community medical and health services evaluation with fuzzy number intuitionistic fuzzy sets
Authors: Zhang Chengyutong , Tian Jie
Published: August 2023

With the deepening reform of the medical and health system, China’s community health services are also continuously improving. As the “gatekeeper” of community residents’ health, community medical and health services provide basic health protection for community residents. In the final analysis, community medical and health service is a kind of service. In today’s era where everyone pursues experience, improving service experience has become an important goal of modern health services. The community medical and health services evaluation is a multi-attribute group decision making (MAGDM) issue. The fuzzy number intuitionistic fuzzy sets (FNIFSs) are used as a tool for characterizing uncertain information during the community medical and health services evaluation. In this paper, a novel MAGDM is built on given CoCoSo method under FNIFSs for community medical and health services evaluation. First of all, this paper extends the CoCoSo to FNIFSs environment to build the fuzzy number intuitionistic fuzzy CoCoSo (FNIF-CoCoSo) method. Secondly, a new MAGDM model for community medical and health services evaluation based on CoCoSo algorithm is built. Finally, the practical example for community medical and health services evaluation to show the practicability and some comparisons are supplied to prove the effectiveness of the decision algorithm.
Estimation of 3D anatomically précised hand poses using single shot corrective CNN
Authors: Malavath Pallavi , Devarakonda Nagaraju
Published: August 2023

A crucial component of human-computer interaction is 3D hand posture assessment. The most recent advancements in computer vision have made estimating 3D hand positions simpler by using deep sensors. The main challenge still stems from unrealistic 3D hand poses because the existing models only use the training dataset to learn the kinematic rules, which is ambiguous, and it is a difficult task to estimate realistic 3D hand poses from datasets because they are not free from anatomical errors. The suggested model in this study is trained using a closed-form expression that encodes the biomechanical rules, thus it does not entirely reliant on the pictures from the annotated dataset. This work also used a Single Shot Detection and Correction convolutional neural network (SSDC-CNN) to handle the issues in imposing anatomically correctness from the architecture level. The ResNetPlus is implemented to improve representation capability with enhanced the efficiency of error back-propagation of the network. The datasets of the Yoga Mudras, like HANDS2017, and MSRA have been used to train and test the future model. As observed from the ground truth the previous hand models have many anatomical errors but, the proposed hand model is anatomically error free hand model compared to previous hand models. By considering the ground truth hand pose, the recommended hand model has shown good accuracy when compared to the state-of-art hand models.
Causation network analysis of collusion behavior between tenderers and bidders in construction project
Authors: Zhu Wenxi , Zhang Jing , Zeng Ying , Chen Jie , Ma Chongsen
Published: August 2023

This paper extracts the causes of collusion behavior based on literature analysis and expert interviews and obtains collusion causation data. The Apriori algorithm is used to mine the relationship between the causes of collusion behavior, and the network model of the causes of collusion behavior is constructed. The successive failures theory mines the most easily evolved causation chain of collusion behavior. The study results showed that: (1) The critical causes of the formation of collusion are self-discipline consciousness and difficulty of investigation. The strong control ability of causation network of collusion behavior is self-discipline consciousness, difficulty of investigation, and transparency of rights operation. (2) Based on the analysis of the group case data, eight causation chains are most likely to form collusion in actual cases, among which the causation chain of collusion behavior that occurs frequently is “difficulty of investigation⟶self-discipline consciousness⟶interest chain”. (3) In view of the causation nodes in the causation chain of collusion behavior, we propose more effective preventive and preventive control measures for collusion between bidders and tenderers in construction projects from three aspects, namely, behavior awareness binding, collusion implementation dilemma and collusion supervision deterrence.
Research on the economic collaborative development evaluation in the Beijing-Tianjin-Hebei region based on hesitant triangular fuzzy information
Authors: Wang Jun
Published: August 2023

Beijing, Tianjin and Hebei are located in the Bohai Rim region of Northeast Asia, China. It is the region with the largest economic scale and strongest economic vitality in northern China. Due to historical development and administrative division, the economic strength of Beijing and Tianjin is strong, while the economic strength of Hebei Province is weak. The economic development of the Beijing-Tianjin-Hebei region is severely uneven. The “Beijing-Tianjin-Hebei Coordinated Development Strategy” is proposed and elevated to a national strategy in this context, aiming to explore the path of coordinated economic development in the Beijing-Tianjin-Hebei region, promote economic cooperation, balance economic differences, and enhance the overall economic strength of the Beijing Tianjin Hebei region through national leadership. The economic collaborative development evaluation in the Beijing-Tianjin-Hebei region is a classical multiple attribute decision making (MADM) problems. Recently, the TODIM and Evaluation based on Distance from Average Solution (EDAS) method has been used to cope with MADM issues. The hesitant triangular fuzzy sets (HTFSs) are used as a tool for characterizing uncertain information during the economic collaborative development evaluation in the Beijing-Tianjin-Hebei region. In this paper, the hesitant triangular fuzzy TODIM-EDAS (HTF-TODIM-EDAS) method is built to solve the MADM under HTFSs. In the end, a numerical case study for economic collaborative development evaluation in the Beijing-Tianjin-Hebei region is given to validate the proposed method. The main contributions of this paper are summarized: (1) the HTF-TODIM-EDAS method is proposed under HTFSs. (2) The MADM method is designed based on the information entropy and HTF-TODIM-EDAS method under HTFSs. (3) A numerical case study for economic collaborative development evaluation in the Beijing-Tianjin-Hebei region is given to validate the proposed method. (4) A comparison between proposed method and existing methods is carried out to check its effectiveness.