Distinct Criteria Research Articles

Cervical Cerclage: Prolonging Gestational Period for Successful Pregnancy Outcome

Background: Cervical Cerclage may be an effective treatment option in true cervical insufficiency. Cervical function plays a crucial role to protect growing fetus in utero in maintaining successful pregnancy. As the gestational weeks progress, the cervix undergoes dynamic changes, including softening and shortening, to accommodate fetal growth. Objective: The objective of this study is to evaluate the effectiveness and outcome of cervical cerclage placement as a preventive measure against recurrent pregnancy loss and preterm delivery and its complications, to analyze pregnancy outcomes among participants who received cervical cerclage and to investigate the relationship between cervical cerclage and pregnancy outcome based on gestational age. Method and Materials: The study was conducted over three years at CMH, Jashore and Ibn Sina Hospital Jashore, utilizing a retrospective and longitudinal interventional approach. Ethical approval was obtained before commencing the study, which involved 92 cases undergoing mid-trimester cervical cerclage. Cervical length measurements, cervical cerclage using the McDonald technique, and subsequent medical management were performed with outcome analyzed using descriptive statistics and odds ratio. Data were analyzed retrospectively through SPSS data analysis tool. Result: 45.65% of patients experienced term deliveries, while 33.70% had preterm deliveries, with 20.65% facing abortions. Distinct inclusion criteria unveiled diverse outcomes, such as recurrent pregnancy loss cases showing 40.82% preterm and 38.78% term deliveries. Odds ratios highlighted cervical length's significance, with a 0.25 ratio indicating reduced preterm risk. Interestingly, 61.69% of preterm births occurred between 34 and 36 weeks. Maternal outcomes indicated low incidence rates of hemorrhage (4.8%), infections (1.1%) and cervix laceration (2.4%). Conclusion: The study underscores cervical cerclage's potential in enhancing full-term pregnancies, particularly for patients with cervical incompetence. While highlighting its success, the study also acknowledges associated risks and complications. J Bangladesh Coll Phys Surg 2024; 42: 57-62

Ferramentas de identificação do Diplostomum spathaceum Rudolphi, 1819 (Diplostomida: Diplostomidae), um trematódeo parasita da gaivota de arenque (Larus argentatus)

ABSTRACT Specimens of the genus Diplostomum von Nordmann, 1832 (Trematoda, Diplostomidae) were collected from the intestine of the herring gull, Larus argentatus (Laridae), from El-Manzala Lake (Port Said City, Egypt). This parasite species was morphometrically, morphologically, and molecularly studied using the internal transcribed spacer (ITS1-5.8S-ITS2) gene region. The presence of a trematode species of Diplostomum spathaceum Rudolphi, 1819 (Diplostomidae) was observed in 70 % of the examined gull species. This species has generic features of the genus Diplostomum. Distinct criteria that discriminated this species from congeners were the division for body parts, the egg-shaped forebody with a smaller length than the hind body, the ventral sucker being smaller in size than the oral one, the position of the ventral sucker being near to the holdfast, vitellaria was compact and rarely extend anteriorly to the holdfast organ, and smaller egg size. Partial ITS1-5.8S-ITS2 sequences from diplosomite recovered in this study showed that they grouped with members of the genus Diplostomum and formed a monophyletic group supporting the morphological description. Findings obtained from molecular analysis are consistent with data from morphological classification where the parasite recorded was morphologically similar to Diplostomum spathaceum with a first record in Egyptian gulls.

Comprometimento cognitivo vascular e demência: uma revisão narrativa

ABSTRACT Vascular cognitive impairment (VCI) is the second most common cause of cognitive impairment after Alzheimer's disease. The VCI spectrum involves a decline in cognition attributable to vascular pathologies (e.g., large infarcts or hemorrhages, microinfarcts, microbleeds, lacunar infarcts, white matter hyperintensities, and perivascular space dilation). Pathophysiological mechanisms include direct tissue injury, small vessel disease, inflammaging (inflammation + aging), atrophy, and altered neurotransmission. VCI is diagnosed using distinct clinical and radiological criteria. It may lead to long-term disability and reduced quality of life. An essential factor for reducing cognitive impairment incidence is preventing stroke by managing traditional and non-traditional cerebrovascular risk factors. This article reviews the spectrum of VCI, epidemiology, risk factors, pathophysiology, diagnosis, available treatment, and preventive strategies.

Unveiling MRI-based structural phenotypes in temporomandibular joint osteoarthritis: implications for clinical practice and research.

Osteoarthritis (OA) is a progressive degenerative disease characterized by the gradual degradation of cartilage, remodeling of subchondral bone, synovitis, and chronic pain. This condition impacts various large and small joints, including the temporomandibular joint (TMJ). However, addressing OA, particularly in impeding or reducing disease progression, is challenging due to its clinical and imaging heterogeneity. Authors are increasingly suggesting that this heterogeneity involves different phenotypes or subpopulations, discernible by variations in the disease's pathophysiology and structural manifestations. Even within the TMJ, these phenotypes may display distinct clinical features, laboratory parameters, biochemical markers, and imaging criteria. Recent research has proposed MRI as a reference standard for TMJ OA, highlighting its substantial agreement with histopathological changes. MRI-based phenotypes offer a promising avenue for understanding disease progression and treatment response, potentially providing valuable insights for prognosis and treatment planning. This article introduces the ROAMES-TMJ (Rapid OsteoArthritis MRI Eligibility Score for TMJ) to assess the structural eligibility of individuals for inclusion in TMJ OA clinical trials.

Academics' mobility in the agglomeration of Constantine: A transports post-use evaluation

The purpose of this study is to closely examine and analyze the increasing phenomenon of academics? urban mobility among students and teachers in the Constantine agglomeration through the examination of their movements. The employed methodology incorporates diverse qualitative research methods, such as covert participant observation, acquiring documentary and statistical data, establishing a research basis on the context, and post-use evaluation through an e-questionnaire survey. The analysis was conducted using tools such as GIS and SPSS. The evaluation utilized distinct criteria, such as origin-destination patterns, modal utilization, travel expenses, and frequency, travel timetables, commuting duration, and disparities between outbound and return journeys. The findings indicate that the commuting circuits of academics are mainly deployed in high-traffic circulation routes. The focus is on intermodality, which entails utilizing transportation modes other than personal vehicles and university buses, primarily due to the presence of a tramway line connecting the Constantine universities. The bus and taxi are frequently employed as the principal means along the tramway. The transport method, its cost, and the frequency of movement are significantly correlated. The travel schedules include peak periods in the morning and evening, and commute time is influenced by factors such as choice of transport mode, accessibility, and traffic congestion. The transport system in the Constantine agglomeration witnesses substantial usage during the academic period.

부가가치세법상 매출에누리와 판매장려금에 관한 연구

[Purpose] This study analyzes the trend of recent precedents regarding sales allowance and sales incentives under the Value－Added Tax Act, which have become an issue in practice due to the ambiguous distinction, and distinguishes between sales allowance and sales incentives, focusing on the Supreme Court ruling 2017Du53170, pronounced on August 31, 2022.
 [Methodology] According to the tax law, various systems for sales allowance and sales incentives were summarized, and related prior studies were reviewed. In addition, by analyzing existing precedents, trends and related cases of recent precedents of sales allowance and sales incentives were comprehensively analyzed. Focusing on the Supreme Court's 2017Du53170 ruling, the legal basis for the distinction between sales allowance and sales incentives was presented.
 [Findings] According to the Supreme Court's 2017Du53170 ruling, subsidies paid to customers had an economic effect of reducing supply prices, but highlighted the formal aspects of the transaction, such as terms and conditions, and contracts, and judged that subsidies in this case did not correspond to the amount of money excluded from the supply price of mobile communication services because they were not directly related to the service provided. In other words, the amount of sales allowance was narrowly interpreted from a formal point of view. Direct deduction, one of the requirements for acknowledging the amount of the discount, must be judged based on whether the supply price has been substantially reduced.
 [Implications] This study is expected to contribute to increasing legal stability and predictability by once again checking and determining whether to exclude the amount from the supply price depending on the relevance of the transaction, in a situation where interpretation problems continue to arise due to ambiguous distinction criteria for sales allowance and sales incentives.

Assessment of cyclone risk and case study of Gaja cyclone using GIS techniques and machine learning algorithms in coastal zone of Tamil Nadu, India

Cyclones can cause devastating impacts, including strong winds, heavy rainfall, storm surges, and flooding. The aftermath includes infrastructure damage, loss of life, displacement of communities, and ecological disruptions. Timely response and recovery efforts are crucial to minimize the socio-economic and environmental consequences of cyclones. To accelerate the time-consuming risk assessment process, particularly in geographically diverse regions, a blend of multi-criteria decision-making and machine learning models was utilized. This novel approach swiftly assessed cyclone risk and the impact of the Gaja cyclone in Nagapattinam, India. The method involved assigning weights to distinct criteria, unveiling notable vulnerability aspects like elevation, slope, proximity to the coast, distance from cyclone tracts, Lu/Lc, population density, proximity to cyclone shelters, household density, accessibility to healthcare facilities, NDVI, and levels of awareness. Daddavari, Ettugudi, Kodikarai, Vedharanyam, Velankanni, and Thirupoondi face high/extreme cyclone risk. Nagore, Nagapattinam, Pillai, Enangudi, and Sannanllur have low/no threat. To further enhance the precision of the study, machine learning algorithms like SVM, SAM, and MLC were deployed. These models were instrumental in generating pre- and post-cyclone land use maps. The influence of Gaja cyclones effects shows decreasing of agriculture land from 34% to 30%, aquaculture increase 1%, barren land decrease from 8% to 6%, Built-up land decrease from 15% to 13%, land with scrub and salt pan also decrease from 21% to 17% and 10%–8%. Mostly effect of Gaja cyclone is dramatic increase of water body from 8% to 21%. Conducting cyclone risk zone analysis and pre/post-cyclone Land Use Land Cover (LULC) detection in Nagapattinam offers valuable insights for disaster preparedness, infrastructure planning, and climate resilience. This study can enhance understanding of vulnerability and aid in formulating strategies to mitigate cyclone impacts, ensuring sustainable development in the region.

Site-Specific Identification of Protein S-Acylation by IodoTMT0 Labeling and Immobilized Anti-TMT Antibody Resin Enrichment.

Protein S-acylation is a reversible post-translational modification (PTM). It is present on diverse proteins and has important roles in regulating protein function. Aminolysis with hydroxylamine is widely used in the global identification of the PTM. However, the identification is indirect. Distinct criteria have been used for identification, and the false discovery rate has not been addressed. Here, we report a site-specific method for S-acylation identification based on tagging of S-acylation sites with iodoTMT0. Efforts to improve the performance of the method and confidence of identification are discussed, highlighting the importance of reducing contaminant peptides and keeping the recovery rate consistent between aliquots with or without hydroxylamine treatment. With very stringent criteria, presumptive S-acylation sites of 269, 684, 695, and 780 were identified from HK2 cells, HK11 cells, mouse brain, and mouse liver samples, respectively. Among them, the newly identified protein S-acylation sites are equivalent to 34% of human and 24% of mouse S-acylation sites reported previously. In addition, false-positive rates for S-acylation identification and S-acylation abundances were estimated. Significant differences in S-acylation abundance were found from different samples (from 0.08% in HK2 cells to 0.76% in mouse brain), and the false-positive rates were significantly higher for samples with a low abundance of S-acylation.

A robust decision-making approach for the selection of an optimal renewable energy source in India

The evaluation of alternate energy sources to select an appropriate one has always been an important matter of consideration for investors and project engineers, especially for developing countries like India. This necessitates the need for a robust approach where the scope of the decision making process increases and the results can be analysed through different perspectives in scrutiny. This study presents a novel robust approach to assist in the decision making process in the field of sustainable energy and uses India as a case study to define the scope for India's renewable energy development. It implements Entropy and CRiteria Importance Through Intercriteria Correlation criteria weighting methods and eight distinct multi criteria decision making methods to rank the renewable energy sources so as to select the optimal one. The ranking results establish solar to be the best alternative for energy production in India. Wind and biomass stand at second and third places interchangeably in the aggregate rankings obtained in the case of Entropy and CRiteria Importance Through Intercriteria Correlation weights, whereas hydro is ranked last. Furthermore, sensitivity analysis is carried out to check the influence of the criteria weights on the decision, and to measure the stability and robustness of the methods used in this approach.

Performance Evaluation of the Plagiarism Systems A Systematic Review

Paraphrase plagiarism occurs when text is deliberately obfuscated to evade detection, deliberate alteration increases the complexity of plagiarism and the difficulty in detecting paraphrase plagiarism., Plagiarism systems play an important role in educational and research institutions. In the field of education, the use of these systems has increased in universities to help researchers select new research, which is why it has been important to ensure that universities have effective citation screening systems. Different metrics were used to evaluate the performance of these systems. All of these metrics affect the performance and usability of the impersonation system. This paper present a systematic literature review (SLR) to obtain an overview of the existing studies of distinct criteria for evaluating the performance of textual plagiarism systems and each criterion is briefly explained to give the basic idea behind it. Overall, the aim of this paper is to provide a modern introduction and short review of these criteria. A systematic literature review is performed according to the guidelines for conducting SLR in software engineering. The study relied on a comprehensive set of research papers collected from electronic libraries published during a time period from 2013 to 2023. The results of this SLR include information about metrics for evaluating the performance of plagiarism systems according to previous research. During a specific period it can assist researchers in this field by providing an overview of current researches in this field. Moreover, it may serve as a first step towards a great SLR-assisted explanation of the subject.

"Truthy" and "Sticky" Narratives of Euroscepticism: Narratological Approaches to Appropriateness in Digital Contexts

This article addresses markers of plausibility and felicity in Eurosceptic narratives on social media that are not based on facts but on sociocultural and contextual appropriateness. Appropriateness is understood here as the contextual fit for specific audiences which includes a range of social and situational factors involved in judgements about the conventionality and propriety of statements. I investigate the construction of appropriateness on Twitter, taking a narrative on the National Health Service in the context of Brexit as an example. I show how Eurosceptic narratives on social media become “truthy” and “sticky”, and how conditions of appropriateness are constructed on Twitter. I bring together approaches from narratology and digital anthropology to show how social media posts in political debate follow distinct evaluation criteria.

Possible ways to chronologise the latest history of the Polish language

The term najnowsze dzieje polszczyzny / najnowsze dzieje języka polskiego (the latest history of the Polish language) has been in use since the late 1970s and the early 1980s. It has brought problems concerning the chronologisation and internal periodisation of that period in the history of the Polish language. The participants of the discourse, which has continued since the early 1990s, include linguists such as Antoni Furdal, Krystyna Kleszczowa, Stanisław Borawski, Stanisław Dubisz, Irena Bajerowa, Ewa Woźniak. Their publications clearly evidence the need for distinguishing the period in the periodisation of the Polish language, while differing as to its specific timeframe, distinction criteria, and internal periodisation. This study aims to compile the data, present the history of the discourse, and make a summary proposal.

The role of Green Public Procurements in energy transition: the case of Western Macedonia

This paper aims to assess the level of implementation of Green Public Procurements (GPP) in the Region of Western Macedonia—Greece, which is currently under energy transition from lignite to a RES-based energy model. By that assessment, a linkage between the GPP framework and energy transition is created, revealing the distinct GPP criteria that should be adopted by energy-transition regions, which have the potential to strengthen the transition process. Rather than implementing the total number of the GPP criteria, literature and methodology findings indicated that specific GPP criteria are directly connected to energy transition and should be primarily adopted by policymakers in comparison to the rest. These criteria are Electricity, Road Transport, Waste Water Infrastructure and Road Lighting and Traffic Signals. By assessing a sample of 31 procurement officials and scientific experts in the five major municipalities of the region, the implementation level of GPP criteria was measured average-to-low, implying that there is a considerable scope by the region’s main municipal authorities to adopt them to a greater extent. Statistical correlations using Spearman’s rank correlation analysis between specific GPP criteria were also identified, indicating distinct interconnections between the criteria pairs that imply commonalities in the implementation framework of GPP. The paper’s implications for future research led to the identification of specific GPP criteria in the public procurement process, that have the potential to enhance green sustainability and boost energy transition.

Classification of administrative acts

The administrative act, a legal institution of rare preeminence in any legal system of the democratic world, represents a symbol of the structured activity of administration. It involves the manner of transposing the imperative, unequivocal, and unidirectional will of superordinate state structures into objective reality. This will enters specialized legal relations and is characterized by the exercise of public power.
 The administrative act represents, in this manner, a representative and well-defined means of imposing the will of organized state structures at every level of society by transposing informed but conceptualized will into a materialized and easily perceptible resort.
 As conceptualized in Romanian doctrine, the specific act of administrative law represents the primary and revealing form of public administration activity. It is the only legal act issued/adopted by authorities, institutions, or other public bodies that produces concrete effects concerning its recipients and beyond.
 However, this distinct type of legal act is characterized by a series of distinctive features that individualize it within the framework of internal legal relations and reveal its specific aspects, as well as the effects emanating from its content.
 Not all administrative acts have the same form, structure, effects, characteristics, purposes, and certainly, not all have the same impact on the individualized legal order at the level of society.
 Therefore, in specialized doctrine followed by the practice of national courts, a series of distinct criteria have been imposed for crystallizing distinct typologies of administrative acts.

Can AI Think Like a Plastic Surgeon? Evaluating GPT-4’s Clinical Judgment in Reconstructive Procedures of the Upper Extremity

Summary: This study delves into the potential application of OpenAI’s Generative Pretrained Transformer 4 (GPT-4) in plastic surgery, with a particular focus on procedures involving the hand and arm. GPT-4, a cutting-edge artificial intelligence (AI) model known for its advanced chat interface, was tested on nine surgical scenarios of varying complexity. To optimize the performance of GPT-4, prompt engineering techniques were used to guide the model’s responses and improve the relevance and accuracy of its output. A panel of expert plastic surgeons evaluated the responses using a Likert scale to assess the model’s performance, based on five distinct criteria. Each criterion was scored on a scale of 1 to 5, with 5 representing the highest possible score. GPT-4 demonstrated a high level of performance, achieving an average score of 4.34 across all cases, consistent across different complexities. The study highlights the ability of GPT-4 to understand and respond to complicated surgical scenarios. However, the study also identifies potential areas for improvement. These include refining the prompts used to elicit responses from the model and providing targeted training with specialized, up-to-date sources. This study demonstrates a new approach to exploring large language models and highlights potential future applications of AI. These could improve patient care, refine surgical outcomes, and even change the way we approach complex clinical scenarios in plastic surgery. However, the intrinsic limitations of AI in its current state, together with the potential ethical considerations and the inherent uncertainty of unanticipated issues, serve to reiterate the indispensable role and unparalleled value of human plastic surgeons.

A systematic literature review on data quality assessment

Defining and evaluating data quality can be a complex task as it varies depending on the specific purpose for which the data is intended. To effectively assess data quality, it is essential to take into account the intended use of the data and the specific requirements of the data users. It is important to recognize that a standardized approach to data quality assessment (DQA) may not be suitable in all cases, as different uses of data may have distinct quality criteria and considerations. In order to advance research in the field of data quality, it is useful to determine the current state of the art by identifying, evaluating, and analyzing relevant research conducted in recent years. In light of this objective, the study proposes a systematic literature review (SLR) as a suitable approach to examine the landscape of data quality and investigate available research specifically pertaining to DQA. The findings of our SLR clearly reveal and demonstrate the criticality of data quality and point to new directions for future study and have consequences for researchers and practitioners interested in defining and assessing data quality.

Evaluation of the distinct and uniformity of upland rice superior varieties candidates

Rice production needs to be increased by using new superior varieties of upland rice. Currently, 5 promising lines of upland rice have been produced through plant breeding programs. Before being registered as a variety, plant variety canadidates must have distinct and uniform criteria. This research was conducted to determine distinctiveness, uniformity and recommendations for 5 promising lines as candidates for upland rice of new superior varieties. This research was conducted from August 2022 to March 2023 at the Experimental and Research Station, Universitas Bangka Belitung. The research material consists of 5 F8 lines and 5 comparison varieties. Data analysis used the Analysis of Variance (ANOVA) followed by the Duncan Multiple Range Test (DMRT) and uniformity test. The results of ANOVA test showed were significant differences in the characters of plant height, flag leaf length, panicle length, filled grain weight per clump, and 1000 grain weight. The promising lines show distinct characteristics of seed color, plant height, number of productive tillers, and panicle length. Narrow variability values indicate a high level of uniformity with the expected lines of uniformity ranging from 88-100%. Lines 23A-56-22-20-05 (brown rice) and 23A-56-20-07-20 (white rice) with high production are recommended as candidates for new superior varieties of upland rice.

Empirical Mode Decomposition with Imf Using Ant Colony Optimization

The serial remote sensing images allow us to view how a certain area has changed and grown across period. Even though these raw images have fewer opportunities to generate information and additional insight, serial remote sensing images (SRSI) offer a significant opportunity to generate clusters and patterns. The implementation of SRSI aggregation is supported by the developments of patterns in a variety of circumstances, which include urbanization, the spread of native vegetation, and farming. We propose a novel outlook to mining sequence patterns that makes use of Ant Colony Optimization and Empirical Mode Decomposition. The newly created Empirical Mode Decomposition (EMD) and Ant Colony Optimization (ACO) approach is integrated to extract the most important characteristics features of significantly accurate performance from serial remote sensing images based on distinct criteria. The outcomes demonstrate that the accuracy of projected sequence patterns can be greatly improved by combining a new hybrid method with EMD and ACO feature selection. Because of this, the method is appealing for employing a farmland dataset based on serial remote sensing images to create ground-based stream-flow for strategically extracting spatially sequential patterns despite requesting less computational mining time and cost.

A comprehensive study of fines migration in internally unstable natural gas hydrate reservoirs

Evaluating unconsolidated reservoirs' internal stability concerning fine migration is essential for the commercial development of natural gas hydrate resources. In this pursuit, we use our newly developed visualized sand production cell and validated CFD-DEM model to study the fines migration dynamics in unconsolidated reservoirs. Our approach leveraged the novel Analysis Software for the Internal Stability of Granular Soils (ASISGS), equipped with three distinct criteria. Experimental observations revealed reservoirs with smaller fine particles experience intensified sand production, characterized by extended production durations and a heightened presence of fine particles in the produced sand. The fine particles move faster than the coarse ones. The ‘coarse matrix with floating fines’ is a premise for fines migration. The flow channel severely clogged by fine particles may reopen, leading to erosive bursts. Kezdi law and the Kenney and Lau criterion in ASISGS software successfully assessed reservoirs' internal stability, consistent with our experimental results. However, the Sherard criterion sometimes overestimated the reservoir's internal stability. Rather than a binary distinction, our research posits a continuum between internally stable and unstable reservoirs. From a CFD-DEM perspective, we discerned two predominant failure modes leading to sand production: erosion of fines and destabilization of the primary sand arch subsequently triggering a sand skeleton reorganization. The smaller the fine particle size, the slower the coordination number increase, the lower the coordination number the platform reach, and the more significant the fine particle migration. With the hydrodynamic drag force exerted by the fluid, fine particles move faster and farther than coarse particles. The formation process of the sand arch includes initial, migration, and equilibrium stages. Overall, this study offers valuable insights into fines migration and its impact on sand production, providing a foundation for effective sand management in natural gas hydrate reservoirs.

Classifying Face Features For Better Recognition And Detection

Recognition of facial features is in high demand currently because of its value in individual proof of identity, wherein a short input picture or a glance can assist in recognizing an individual using a database of images. This type of identity isn't commonly used in India, although it is necessary. Fingerprint identity systems ought to utilise facial recognition to render the system frictionless and more secure. As a result, these researchers attempted to assess the suitability of two separate face recognition computational methods, facet, which came, and facial features, in this work. The traits are retrieved and then prepared before being turned to a list and then compared with the area of interest to determine the individual in question [5]. The characteristics considered were the Euclidean gap between the pupils, the contours of the nostrils, plus the lip-to-lip length. This initiative will assist in guarding factories wherein trespassing is possible, identifying people in crowds, tracing those who have vanished, and keeping tabs upon some disruptive elements of the community. It's used for a wide range of applications, including legislative bodies and vaults at financial institutions. At the exact same period of time the identification and detection percentages with the three distinct criteria for lateral recognition of faces, opacity identification, and face dramatic emotion are contrasted using the contrast test, and the adequacy for both methods is improved [6]. These results demonstrate the fact that every instance can be assessed individually. Conventional detectors may "perceive" an object or message, turn it into an electrical signal, store it, and then utilise a conversion circuitry to turn the electricity into an amount or another observable screen format.