bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comparative study on the short-term clinical outcomes of Da Vinci SP versus Da Vinci Xi for rectal cancer surgery
Authors: Alshalawi Wed Alshalawi , Lee Chul Seung , Kim Byung Chul , Han Seung Rim , Kim In Kyeong , Bae Jung Hoon , Lee In Kyu , Lee Do sang , Lee Yoon Suk 
Published: April 2023

Abstract

Purpose The Da Vinci SP robot system was recently introduced, but its safety and feasibility for rectal cancer compared to the currently used Da Vinci Xi robot system have not been reported. This study aimed to report the safety and feasibility of the Da Vinci SP robot system for rectal cancer by comparing the short-term outcomes of the Da Vinci Xi robot system.Methods This was a single-center, retrospective study. Data from rectal cancer patients who underwent abdominal total mesorectal excision (TME) using the robotic Xi and SP systems from October 2015 to October 2022 were analyzed. After propensity score matching, the short-term clinical perioperative outcomes were compared between the Da Vinci SP and Xi robotic system groups.Results A total of 56 patients who underwent robotic TME were analyzed after propensity score matching (SP, n = 28, vs. Xi, n = 28). Intersphincteric resection was more common in the SP group (7 cases (25%) vs. 0 case (0%), p = 0.001). The operation time was significantly shorter in SP (184 vs. 227.5 minutes, p < 0.0001), but the docking time was similar between the two groups. The postoperative complications were similar between the two groups (five cases in the SP group (17.9%) vs. four cases in Xi (14.3%), p = 0.68). There were no differences in the postoperative pain score and length of hospital stay.Conclusion The SP robotic system for abdominal TME has acceptable short-term outcomes compared with the Xi robotic system and is safe and technically feasible.
Augmented Differential Privacy Framework for Data Analytics
Authors: Desik Anantha , Naman Sumiran 
Published: April 2023

Abstract

Differential privacy has emerged as a popular privacy framework for providing privacy preserving noisy query answers based on statistical properties of databases. It guarantees that the distribution of noisy query answers changes very little with the addition or deletion of any tuple. Differential enjoys popular reputation that providing privacy without building any assumptions about the data and protecting against attackers who know all but one record. Differential privacy is a relatively new field of research. Most users have a limited experience in managing differential privacy parameters and achieving a suitable level of privacy without affecting the quality of the analysis. A vast majority of users is still learning how to effectively apply differential privacy in practice.
In this paper, we discussed: on the proposed augmented framework which enables the differential privacy data of any given query, the various differential privacy techniques, metrics for the privacy & utility tradeoff of the data and efficacy of the framework. Discussed state of the art of different differential privacy techniques defined in the framework Laplace, Laplace bounded, Randomized response and Exponential for different data types. The augmented framework consists of three parts one on privacy parameter inputs to control interactively and iteratively on the querying the data , the various differential privacy techniques, the metrics to measure privacy and utility threshold which allows the data analyst to evaluate the accuracy of the privacy safe data for selecting the privacy guaranteed data within the given privacy budget. The framework takes any dataset as input and, generates another dataset which is structurally and statistically very similar original dataset. The newly generated dataset has much stronger privacy guarantee on the selected sensitive and non-sensitive datatypes. We have also demonstrated analytical models developed using the privacy safe data from the framework as substitute to the models developed on the original datasets. We have demonstrated the framework and analytical model with sample data sets to present the similarity of original and differential privacy safe datasets.
The Role of Learners’ Motivation in English Language Learning at the Tertiary Level in Libya
Authors: Brima Masoud , ABDELATY SULIMAN 
Published: April 2023

Abstract

This research paper investigates the role of learners' motivation in English language learning at the tertiary level in Libya. The study aims to explore factors affecting students' motivation to learn English, examine the relationship between motivation and academic performance, and provide recommendations for enhancing learners' motivation in Libyan tertiary institutions.
Study of the Accelerated Electrochemical Corrosion by Immersion (AECI Test) on Saline and Grey Water Action on Carbon Steel Bars Used in Concrete Works
Authors: Mendonça Evandro Eduardo Barbosa , Soares João Victor Rodrigues , Silva Ariane Carvalho da , de Aguiar Natanna Azevedo , Sousa Joel Pedrosa , Farias Luísa Gardênia Alves Tomé , Leitinho Janaína Lopes 
Published: April 2023

Abstract
The phenomenon of corrosion, a recurrent and costly deterioration mechanism, is present in metals since the beginning of ore extraction for its production. The corrosive process can be caused by humidity and direct contact with water. Grey water, reuse water, contains salts that may influence metal corrosion. The study of the corrosion by the accelerated test by accelerated electrochemical corrosion test in steel bars was carried out by immersion in saline water and grey water. The bars were emerged for a time of 8 hours on with a voltage of 15 Volts. The study of the evolution and the effects of the corrosion, on the bar, were followed by calculating the corrosion rate and by optical microscopy. The results show that grey water, with a low organic content, is a less aggressive electrolyte than saline water, indicating the possibility, safely, of using concrete structures to contain this residual water, on possible mechanisms to control the corrosive process.
Experimental Study of The Structural Behavior of Non-Prismatic Reinforced Concrete Frame Using Different Types of Concrete Under Static and Repeated Load
Authors: Al-Saffar Dhurgham H , Dawood Mustafa B , Habeeb Ghalib M 
Published: April 2023

Abstract

This paper experimentally investigates the behavior of a non-prismatic concrete frame using different types of concrete under static and repeated loads. The parametric study includes changing the type of concrete (conventional concrete, steel fiber reactive powder concrete (SF-RPC), and glass fiber reactive powder concrete (GF-RPC)), and loading type (static and repeated). The results were presented and discussed the effect of SF-RPC and GF-RPC on frame behavior, and compared with the conventional concrete frame through the first crack load, ultimate load and failure mode, load-deflection curve, and the frame deflected shape. There were evidences of improvement in the frame properties, where a change in the failure mode, an increase in the ultimate load, as well as an increase in the stiffness of the frame in all the types of loading. The ultimate static load increased by 45.9% and 40.5% for SF-RPC and GF-RPC frames, respectively. Using RPC improves fatigue resistance, as the ultimate load decreases by only 2% under the influence of repeated load. In comparison, the conventional concrete frame decreases by 27%. The use of RPC in the specimens improves the shear strength and stiffness of the frame. The RPC is environmentally friendly through the use of recycled materials in mixtures (silica fume, steel fiber, and glass fiber), and also the structural sections are small thus the gases emitted (CO2) are few. As well as eliminating the need to consume new materials and impede construction for the public, because of the extension of the structural life.
Using smart applications in delivering government services in the UAE: Factors of adoption and satisfaction
Authors: Radwan Ahmed Farouk , Snoussi Thouraya , Mousa Sheren 
Published: April 2023

Abstract

This study addresses the public adoption and satisfaction factors of government e-services in the United Arab Emirates. A special emphasis is placed on the quality of digital platforms, mainly smart applications. This quantitative research is based on three distinct models: Technology Acceptance Model (TAM), E-Service Quality Model, and Web Trust Model (WTM). A survey questions was designed and distributed to a sample of 300 Emiratis using government E-services. The findings revealed that participants greatly appreciate and trust the electronic services provided via smart applications; they particularly appreciate the ease of use and the quality of the information posted. Respondents highlighted some of the factors that motivated their use, such as information disclosure strategy, and interactivity.
Osteoporosis is involved in the development of osteoarthritis through the metabolic genes UXS1 and GAMT
Authors: Chen Zhen , Lei Xinhuan , Fan Yongyong , Song Xiaoting , Wang Wei , Guo Di , Li Zhiyan , Ying Liwei , Xu Wei , Yuan Chiting , Guo Yuhua , Hong Dun , Zhang Liwei 
Published: April 2023

Abstract
Osteoporosis is characterized by abnormally active bone resorption and imbalance bone metabolism, resulting in altered bone microarchitecture, enhanced bone fragility, and increased fracture risk. Osteoarthritis is a degenerative joint disease that often coexists with osteoporosis, severely affects the life quality of the elderly and may even increase their mortality risk. Patients with osteoarthritis exhibit localized bone growth and sclerosis in the affected joints but also osteoporotic-like changes such as reduced bone mass in non-weight-bearing areas. Microfractures and collapses in patients with osteoporosis due to decreased subchondral bone mass can cause uneven distribution of pressure on articular cartilage and accelerated cartilage wear and degeneration, which in turn leads to the development of osteoarthritis. This study takes metabolic genes as an entry point and explores the mechanism of osteoporosis on osteoarthritis development through bioinformatics technology and big data analysis. Our study reveals that osteoporosis can affect the onset of osteoarthritis through UXS1 and GAMT genes expression to influence cell scorching and necrotizing apoptosis in osteoarthritic tissues. Further analysis of key upstream genes and important pathways affecting osteoarthritis provides new ideas to reveal the mechanisms by which osteoporosis leads to osteoarthritis, and then to seek new therapeutic targets for osteoporosis and osteoarthritis.
Multi-omics data integration in upper gastrointestinal cancers research: A review of concepts, approaches, and application
Authors: Mazloomnejad Radman , Ahmadi Armin , Piroozkhah Moein , Omranian Ayda Zhian , Zabihi Mohammad Reza , Nazemalhosseini-Mojarad Ehsan , Kavousi Kaveh , Salehi Zahra 
Published: April 2023

Abstract

Upper gastrointestinal (GI) cancers, including esophageal, gastric, liver, and pancreatic cancers, are a major medical and economic burden worldwide. Despite significant advances in radiotherapy, chemotherapy, and targeted treatments for upper GI cancers in the past decade, a high recurrence rate and poor prognosis are still challenging in upper GI cancer management. This trouble is rooted in the current diagnosis methods and the lack of adequate and reliable diagnostic/prognostic biomarkers. The diagnosis of almost every disease of the upper GI tract still depends on invasive investigations such as endoscopy of the upper GI tract, manometry of the stomach and esophagus, or radiography. Although cancer was considered a single disease in the organ of origin in the past, today, it is accepted that cancer is a heterogeneous disease assuming the same organ of origin. Therefore, to conduct precision/personalized medicine, it seems necessary to have suitable biomarkers to make an accurate diagnosis, appropriate patient classification, prognosis assessment, and drug response in cancers. Systems biology and multi-omics research are strategies adopted to provide genetic and molecular biomarkers in cancer. Toward studying complex biological processes, multi-omics data analysis provides an opportunity to gain a deeper and more comprehensive understanding of cancer development and progression. Multi-omics approaches are new frameworks that integrate omics datasets, including genome, epigenome, transcriptome, proteome, metabolome, and metagenome, on the same set of samples to understand cancer's molecular and clinical characteristics better. Therefore, in this review, we focus on the integrated multi-omics studies conducted on esophageal, gastric, liver, and pancreatic cancers and discuss the results regarding diagnostic and prognostic biomarkers, as well as biomarkers that determine the response to treatment.
Building nutritionally meaningful product groups for loyalty card data: the LoCard Food Classification process
Authors: Kanerva Noora , Kinnunen Satu , Nevalainen Jaakko , Vepsäläinen Henna , fogelholm Mikael , Saarijärvi Hannu , Meinilä Jelena , Erkkola Maijaliisa 
Published: April 2023

Abstract

Analysing customer loyalty card data is a novel method for assessing dietary quality and changes in a population’s food consumption. However, prior to its use, the thousands of grocery products available in stores must be reclassified into appropriate categories suitable for the use of nutrition and health research. This paper depicts how such a classification is compiled and how it reflects the nutritional quality of the food classes. Healthfulness was considered the main criterion guiding the reclassification of the 3574 grocery product groups. In addition, the main ingredient of the product group, type of food and purpose of use, and carbon footprint were considered in the reclassification process. The classified food groups were linked with the national food composition database, and the nutrient profile was assessed by calculating the Nutrient Rich Food Index (NRFI) for each product group. Our four-level classification hierarchy had 38 food groups at its broadest level (Class 1). Only 1% (n=38) of the grocery product groups were left unclassified. Standard deviation in NRFI decreased from 0.21 to 0.08 from the broadest to the finest level of classification. We conclude it is possible to assign a great majority of the grocery product groups to classes based on their nutritional quality. However, the challenge is classification of product groups that lack detailed information on their contents or include main ingredients that have opposite health effects, such as products including both plant- and animal-based proteins.
Immediate Socio-Economic Impacts of Mindoro Oil Spill to Fisherfolk in Naujan, Philippines
Authors: Agaton Casper Boongaling , Guno Charmaine Samala , Labog Russel Añonuevo , Collera Angelie Azcuna 
Published: April 2023

Abstract

In February 2023, an oil tanker carrying 5660 bbl. of industrial fuel oil sank off Naujan in the Philippines causing an oil spill in the waters of Oriental Mindoro and nearby provinces. The disaster affected fishing communities as well as marine ecosystems including the Verde Island Passage, which is at the "center of the center of world's marine biodiversity". This study assesses the immediate social and economic impacts of this oil spill on various communities of Naujan coast. We conducted semi-structured interviews and employed a narrative analysis to explore the lived experiences of the fisherfolk on the oil spill and to understand its socio-economic impacts. With the prohibition of fishing and other aquatic activities, participants lost up to USD 1300 of income per week from fishing. The participants had no other source of income due to the lack of other skills or the opportunity for alternative livelihood in the community. While the government provided food packs and financial assistance, participants found these insufficient to sustain the basic family needs including food, utilities, education, and health. Traces of oil were also found in the sources of potable water affecting their daily household activities. The fisherfolk, which are communities vulnerable to natural and man-made hazards, had their subsistence, food security, and human well-being highly compromised. The findings provided recommendations for government interventions to mitigate the impacts of an oil spill and other future disasters, considering social, economic, and human ecological perspectives.
Influence of premorbid psychosocial stressors on chronic localized pain syndromes clinical characteristics (observational study)
Authors: Gertsog A. A. , Vorob’eva O. V. , Morozova T. E. , Reze A. G. , Zaugolnikova T. V. , Samokhina E. O. 
Published: April 2023

Introduction. It is now recognized that stress plays an important role in the occurrence and exacerbation of chronic pain syndromes. Stress has a modulatory effect on the structures of the nervous system depending on the nature, duration and intensity of the stressor which is reflected in the clinical characteristics of pain.Aim. To study the features of the clinical characteristics of chronic localized pain syndromes depending on the presence of psychosocial stressors at the onset of pain.Materials and methods. The study included 118 patients with chronic localized pain syndromes 38 men (32.2%) and 80 women (67.8%) aged 19 to 66 years (mean age 41 ± 11 years). Depending on the presence of premorbid psychosocial stressors at the onset of pain patients were divided into two groups group I (main), group II (control). The research methods included a general clinical assessment of the pain syndrome characteristics, an assessment of the emotional state, psychosocial indicators and quality of life using special scales and tests. Statistical analysis was carried out using the StatTech v. 2.6.1.Results. Patients of group I experience more than 4-6 episodes of exacerbations per year, the duration of pain is from 8 to 28 days, affecting an average of 4 (3; 6) localizations, using more descriptors (p < 0.001, p = 0.013, p = 0.014, p=0.017, p=0.002 resp.), more likely to suffer from headaches and cervicalgia (p = 0.004 and p < 0.001 resp.), use on average 4 (2; 5) drug group for pain relief (p = 0.004). Among patients with premorbid psychosocial stressors the proportion of women is 6.5 times higher (p < 0.001). A significantly greater number of patients with sleep disorders and anxiety were identified in group I (p < 0.001, p = 0.009 respectively), the total score in assessing fatigue was 24 (19; 39) points which corresponds to moderate fatigue (p = 0.009). The average stress score on the Holmes-Rahe scale was 80 (53; 102) (p < 0.001), the main stressful events are work-related problems. Direct statistically significant relationships between the level of stress and the characteristics of the pain syndrome were established the number of pain localizations, the intensity of pain, the number of descriptors (p < 0.001, p < 0.001, p < 0.001). The life quality index was 2 (2; 4) scores according to the EQ-5D-3L questionnaire which indicates a decrease in the quality of life (p < 0.001) in group I. It was noted that the chances of stress onset of pain in an active lifestyle are 3.4 times lower (p = 0.012).Conclusion. Premorbid psychosocial stressors are markers of the severity of chronic pain and affective distress. At the same time premorbid psychosocial stressors can be considered a modifiable factor. If it is assessed and recognized in time, the development of chronic pain and associated affective distress can be eliminated and potentially prevented.
Results of the observational program “NOSTALGIA” (new strategies for the treatment of algic syndromes in the lower back in patients with post-COVID syndrome)
Authors: Putilina M. V. , Shabalina N. I. 
Published: April 2023

Introduction. Allergic syndromes occur in 85.7% of COVID-19 survivors, according to recent statistics. However, there is no clear understanding of the pathogenesis of post-COVID pain syndrome and no therapy algorithms have been developed.Aim. To study the efficacy and safety of Alflutop (the bioactive concentrate from small sea fish (BCSSF)) in COVID-19 survivors with pain syndromes in the lower back (lumbosacral dorsopathy (LSD)) and osteoarthritis (OA)), who were previously treated with other chondroitin sulphate (CS) drugs.Materials and methods. The study group included 50 patients with persistent pain in the lower back according to VAS scale (6.6 ± 1.5 scores) without chronic diseases, pain lasted for more than 1 month. The average age was 55.7 ± 3.5 years, 30 men and 20 women, who had mild or moderate COVID-19 in the period of 40 to 90 days before the study. Some patients had been previously diagnosed with LSD before they contracted COVID-19 and had exacerbations 1-2 times a year. Most of the patients also suffered from large-joint OA. Of all patients, 10 were primary patients (before COVID-19 was diagnosed) and received therapy with non-steroidal anti-inflammatory drugs and CS prior to enrolment in the study. The clinical examination provided to all patients included recording of complaints, medical history, a standard examination of the neurological status at visit 1, 2 (day 14–15), 3 (completion of therapy, 30 days after initiation of therapy) and 4 (2 months after visit 1). The pain was assessed according to VAS, and depression symptoms were measured according to the Hospital Anxiety and Depression Scale. At visit 3, the patients were assessed according to the Clinical Global Impression scale. The standard laboratory test results were analysed.Results. After administration of BCSSF, a pronounced relief of pain and high anxiety was observed in all patients by Day 14. 80% of patients had no pain syndrome without changes in laboratory test results by visit 4. The majority of patients evaluated their condition as good according to the Clinical Global Impression scale.Conclusions. Early administration of BCSSF is topical in the therapy of post-COVID allergic syndromes.
Experience with non-immunogenic staphylokinase for intravenous thrombolysis in ischemic stroke: analysis of hospital registry data
Authors: Kulesh A. A. , Syromyatnikova L. I. , Krapivin S. 
Published: April 2023

Introduction. Intravenous thrombolysis (IT) is the primary method of reperfusion therapy for ischemic stroke. Over the past couple of years, there has been a global trend towards the predominant use of the bolus forms of thrombolytic drugs that is caused by necessity to increase the reperfusion therapy rate to achieve its best outcomes.Aim. To evaluate the efficacy and safety of the use of non-immunogenic staphylokinase for IT in ischemic stroke in real-world clinical practice of the regional vascular center.Materials and methods. The clinical outcomes of the cohort of 50 patients who underwent IT with non-immunogenic staphylokinase were analysed.Results. The age of the patients ranged from 46 to 94 years and averaged 71.8 ± 10.0 years; 22% of patients were over 80 years of age. The NIHSS score at admission varied from 3 to 23 scores and averaged 11 (8-14) scores. 36% of patients had large artery occlusions. 14% of patients received a step-wise reperfusion therapy. The median door-to-needle time was 23 (18-26) minutes. 52% of patients didn’t develop any infarction area during control neuroimaging. 62% of patients required no further rehabilitation. Hospital mortality was 12%. 18% of patients developed hemorrhagic conversion mainly in the form of hemorrhagic infarction. 1 patient had a symptomatic hemorrhagic conversion. Major bleeding and angioedema were not observed.Conclusion. The analysis of 50 consecutive cases of IT in ischemic stroke using non-immunogenic staphylokinase indicates the high efficiency and safety of this method of reperfusion therapy.