Aspects Of Process Research Articles

Analysis Of The Influence Of Fake Discount Price Labels For A Product In The Marketplace On The Concept Of Business Competition And Responsibility

: This study examines the fulfillment of the defendant's human rights during the judicial process in a premeditated murder case, based on Decision No. 319/Pid.B/2023/PN Smr. The case revolves around the defendant, who was accused and found guilty of premeditated murder. The study delves into various aspects of the judicial process, including the arrest, detention, trial proceedings, and the final verdict. It evaluates whether the defendant's rights were upheld in accordance with national and international human rights standards. Key findings highlight areas of compliance and potential violations, providing insights into the judicial system's handling of serious criminal cases. The research aims to contribute to the ongoing discourse on human rights within the Indonesian judicial framework, emphasizing the importance of safeguarding the rights of all individuals involved in criminal proceedings. This comprehensive analysis seeks to shed light on the effectiveness of existing legal protections for defendants, drawing attention to both strengths and weaknesses in the current system. Ultimately, the study underscores the necessity of continuous improvement in ensuring justice and human rights for all parties in criminal cases.

Environmental context sculpts spatial and temporal visual processing in thalamus.

Behavioral state modulates neural activity throughout the visual system; this is largely due to changes in arousal that alter internal brain state. However, behaviors are constrained by the external environmental context, so it remains unclear if this context itself dictates the regime of visual processing, apart from ongoing changes in arousal. Here, we addressed this question in awake head-fixed mice while they passively viewed visual stimuli in two different environmental contexts: either a cylindrical tube, or a circular running wheel. We targeted high-density silicon probe recordings to the dorsal lateral geniculate nucleus (dLGN) and simultaneously measured several electrophysiological and behavioral correlates of arousal changes, and thus controlled for them across contexts. We found surprising differences in spatial and temporal processing in dLGN across contexts, even in identical states of alertness and stillness. The wheel context (versus tube) showed elevated baseline activity, faster visual responses, and smaller but less selective spatial receptive fields. Further, arousal caused similar changes to visual responsiveness across all conditions, but the environmental context mainly changed the overall set-point for this relationship. Together, our results reveal an unexpected influence of the physical environmental context on fundamental aspects of visual processing in the early visual system.

Advances in using artificial intelligence for predicting protein-ligand binding affinity

The binding of proteins and ligands is a crucial aspect of life processes. The calculation of the protein-ligand binding affinity (PLBA) offers valuable insights into protein function, drug screening targets protein receptors, and enzyme modifications. In recent years, artificial intelligence (AI) has experienced rapid advancements, becoming widely used in PLBA prediction. This is attributed to its robust feature extraction ability, superior algorithm accuracy, and speedy calculations. Our paper aims to provide a comprehensive overview of AI predication process, associated resources, application scenarios, challenges, and potential solutions, serving as a valuable reference for the relevant research endeavors.

THE ROLE OF GLYCOCALYX IN THE PATHOGENESIS OF DIABETES MELLITUS COMPLICATIONS

Glycocalyx (GC) is represented by protein-polysaccharide compounds lining the inner surface of endothelial cells in the form of a gel. GC plays an important role in the regulation of vascular homeostasis, controls vascular wall permeability and microvascular tone, prevents microvascular thrombosis and participates in the regulation of leukocyte adhesion. Damage of endothelial HA is a part and initial link of pathophysiological processes underlying the development of complications of diabetes mellitus (DM). In most cases of DM is accompanied by degradation of HA caused by hyperglycemia, which leads to impaired microcirculatory perfusion and organ dysfunction. Further study of HA, determination of its contribution to the development of diabetes complications is a very promising area of research. In this review, we analyze the main mechanisms of destruction and the role of HA in the pathophysiological mechanisms of the development of DM complications. Although numerous studies indicate a significant role of HA dysfunction in the development of micro- and macroangiopathies in the outcome of diabetes, many aspects of pathophysiological processes are still unexplored and require further research.

Speech-Gesture Matching and Schizotypal Traits: A Network Approach.

Impaired speech-gesture matching has repeatedly been shown in patients with schizophrenia spectrum disorders. Here, we tested the hypothesis that schizotypal traits in the general population are related to reduced speech-gesture matching performance and reduced self-reports about gesture perception. We further explored the relationships between facets of schizotypy and gesture processing in a network model. Participants (1094 mainly healthy adults) were presented with concrete or abstract sentences accompanied with videos showing related or unrelated gestures. For each video, participants evaluated the alignment between speech and gesture. They also completed self-rating scales about the perception and production of gestures (Brief Assessment of Gesture scale) and schizotypal traits (Schizotypal Personality Questionnaire-Brief 22-item version). We analyzed bivariate associations and estimated a non-regularized partial Spearman correlation network. We characterized the network by analyzing bridge centrality and controllability metrics of nodes. We found a negative relationship between both concrete and abstract gesture-speech matching performance and overall schizotypy. In the network, disorganization had the highest average controllability and it was negatively related to abstract speech-gesture matching. Bridge centralities indicated that self-reported production of gestures to enhance communication in social interactions connects self-reported gesture perception, schizotypal traits, and gesture processing task performance. The association between impaired abstract speech-gesture matching and disorganization supports a continuum between schizophrenia and schizotypy. Using gestures to facilitate communication connects subjective and objective aspects of gesture processing and schizotypal traits. Future interventional studies in patients should test the potential causal pathways implied by this network model.

Ecotourism Marketing Mix Strategy in Malagufuk Village, Sorong Regency, Southwest Papua Province

This study aimed to analyze the strengths and weaknesses of internal factors in the marketing mix (7P), the opportunities and threats of external factors in PESTLE, and to formulate an ecotourism marketing mix strategy and the implementation of the resulting strategy program. This research used a descriptive qualitative approach. Data in this study were collected through interviews, observations, documentation, and questionnaires. The informants in this study were the government and the community, while the respondents filling out the 7P questionnaire were tourists, totaling 70 people, and the respondents filling out the PESTLE questionnaire were government officials and community managers, totaling 10 people. Data analysis used IFE and EFE analysis, SWOT, and SOSTAC.The results of this study indicated that the aspects of product, people, and physical evidence were strengths in the internal factors, while the aspects of price, promotion, place, and process were weaknesses in the internal factors of the marketing mix. In the external aspect, the opportunities in marketing identified in this study were in the social, economic, and technological aspects, while the threats were in the political, legal, and environmental aspects. Based on the results of IFE, EFE, and SWOT analysis, the resulting strategy was in quadrant I. This indicated that the SO strategy was an alternative strategy that used strengths to take advantage of opportunities in ecotourism marketing in Malagufuk Village.

Financial Analysis of Sawn Timber Sales at Buana Alam Trade Business in Palu City, Central Sulawesi

Introduction: Forests have an important role in meeting the needs of human life. In addition to having benefits for life, forests also have many benefits, one of which is benefits in the economic sector. Development in the forestry sector is directed at optimal and sustainable utilization of forest resources and strives to improve the welfare of people's lives. Utilization of forest resources, especially timber forest products to be used as sawn timber. sawn timber is semi-finished goods because it will be further processed into other products, for example, sawn products are processed into molding products, flooring furniture, and others that are specific. This study aims to determine the financial aspects of sawn timber processing at Buana Alam Trading Business. This research was conducted for two months from March 2023 to April 2023, which took place at the Buana Alam Trade Business in Palu City, Central Sulawesi. Method: This research uses a purposive sampling method at the location and 1 respondent, namely the leader or business owner as a research sample. This research calculates business finances for 13 years of operation. Results and Discussion: The results of this study indicate that the financial analysis of the sawn timber business obtained an NPV value of Rp. 389,806,900, BCR 2.09 and IRR 22.9% of the Buana Alam Trading Business shows a positive value, so that the Buana Alam Trading Business is feasible to continue and based on the results of business financial analysis using NPV calculations, the Buana Alam Business is feasible to continue. Conclusion: The results of the financial analysis of the sawn timber business for 13 years of operation obtained an NPV value of Rp. 389,806,900, BCR 2.09, and IRR 22.9%. Based on the results of research using financial analysis, the Buana Alam trade business in Palu City is feasible to continue.

Semaglutide Attenuates Anxious and Depressive-Like Behaviors and Reverses the Cognitive Impairment in a Type 2 Diabetes Mellitus Mouse Model Via the Microbiota-Gut-Brain Axis.

Newly conducted research suggests that metabolic disorders, like diabetes and obesity, play a significant role as risk factors for psychiatric disorders. This connection presents a potential avenue for creating novel antidepressant medications by repurposing drugs originally developed to address antidiabetic conditions. Earlier investigations have shown that GLP-1 (Glucagon-like Peptide-1) analogs exhibit neuroprotective qualities in various models of neurological diseases, encompassing conditions such as Alzheimer's disease, Parkinson's disease, and stroke. Moreover, GLP-1 analogs have demonstrated the capability to enhance neurogenesis, a process recognized for its significance in memory formation and the cognitive and emotional aspects of information processing. Nonetheless, whether semaglutide holds efficacy as both an antidepressant and anxiolytic agent remains uncertain. To address this, our study focused on a mouse model of depression linked to type 2 diabetes induced by a High Fat Diet (HFD). In this model, we administered semaglutide (0.05mg/Kg intraperitoneally) on a weekly basis to evaluate its potential as a therapeutic option for depression and anxiety. Diabetic mice had higher blood glucose, lipidic profile, and insulin resistance. Moreover, mice fed HFD showed higher serum interleukin (IL)-1β and lipopolysaccharide (LPS) associated with impaired humor and cognition. The analysis of behavioral responses revealed that the administration of semaglutide effectively mitigated depressive- and anxiety-like behaviors, concurrently demonstrating an enhancement in cognitive function. Additionally, semaglutide treatment protected synaptic plasticity and reversed the hippocampal neuroinflammation induced by HFD fed, improving activation of the insulin pathway, demonstrating the protective effects of semaglutide. We also found that semaglutide treatment decreased astrogliosis and microgliosis in the dentate gyrus region of the hippocampus. In addition, semaglutide prevented the DM2-induced impairments of pro-opiomelanocortin (POMC), and G-protein-coupled receptor 43 (GPR43) and simultaneously increased the NeuN + and Glucagon-like Peptide-1 receptor (GLP-1R+) neurons in the hippocampus. Our data also showed that semaglutide increased the serotonin (5-HT) and serotonin transporter (5-HTT) and glutamatergic receptors in the hippocampus. At last, semaglutide changed the gut microbiota profile (increasing Bacterioidetes, Bacteroides acidifaciens, and Blautia coccoides) and decreased leaky gut, improving the gut-brain axis. Taken together, semaglutide has the potential to act as a therapeutic tool for depression and anxiety.

The role of data governance in a high-level approach of data migration to open data

Data quality issues are still a challenge in data migration. Existing methods mainly focus on technical issues. However, the problem of data quality is not only a technical problem, but the main one is the non-technical aspect. This paper aims to identify the role of data governance in the data migration process. The qualitative research method uses two primary references, namely the high-level data migration approach from Kazimir et al. and the DAMA-DMBOK framework. Both are highly compatible with data migration processes focusing on data quality and referencing governance roles. The case study was conducted in a central government working on data migration to the new One Data application. The results show that eight data governance roles are involved in 20 migration processes (65%). Non-technical activities related to data quality involve more than half of the data migration process. This paper proposes the role of data governance for non-technical aspects of the migration process. This paper presents a case study of the high-level data migration process and how data governance comes into play. This research can help the government and practitioners overcome problems that often occur in data migration, especially related to data quality.

Generating Descriptive Text From Images - Image Caption Generator

In the modern era, image captioning has become one of the most widely required tools. Moreover, there are inbuilt applications that generate and provide a caption for a certain image, all these things are done with the help of deep neural network models. The process of generating a description of an image is called image captioning. It requires recognizing the important objects, their attributes, and the relationships among the objects in an image. It generates syntactically and semantically correct sentences. In this paper, we present a deep learning model to describe images and generate captions using computer vision and machine translation. This paper aims to detect different objects found in an image, recognize the relationships between those objects and generate captions. The dataset used is Flickr8k and the programming language used was Python3, and an ML technique called Transfer Learning will be implemented with the help of the caption model, to demonstrate the proposed experiment. This paper will also elaborate on the functions and structure of the various Neural networks involved. Generating image captions is an important aspect of Computer Vision and Natural language processing. Image caption generators can find applications in Image segmentation as used by Facebook and Google Photos, and even more so, its use can be extended to video frames. They will easily automate the job of a person who has to interpret images. Not to mention it has immense scope in helping visually impaired people

Негативность, связанная с ошибкой, как нейрофизиологический коррелят исполнительных функций: Обзор исследований

<p style="text-align: justify;">Executive functions are a set of high-level cognitive processes that regulate human behavior and cognition, and are necessary for adaptive and goal-directed behavior. The error monitoring process can be considered as a condition preceding the enhancement or activation of executive control. The neural correlate of this condition is the error-related negativity (ERN). This article presents a narrative review of research investigating cognitive and affective aspects of the error monitoring process in the context of executive functions using the ERN. The literature review on the affective aspect revealed a diversity of approaches to influencing the state of participants. Most works take into account information about participants' state or affectively salient aspects of stimuli perception. However, this information may not be sufficient to establish a link to the response to conflict induced by an error in an experimental task. Presumably, the general emotional state has only an indirect influence on the error monitoring process. This may be the reason for the inconsistent results observed in this area of research.</p>

Model for Sustainability Improvement of Student Satisfaction Based on Service Quality: Testing the American Customer Satisfaction Model in Higher Education

This research aims to empirically investigate the antecedents and consequences of student satisfaction with programs provided by higher education institutions and identify service quality attributes that need to be improved. This research uses the American Customer Satisfaction Model (ACSM) as an analytical lens. The unit of analysis in this research concentrates on students who are studying at Semarang City Universities. Partial Least Squares (PLS) estimation is used to test measurement models, estimate the predictive power of theoretical models, and obtain the SSI score. Although student satisfaction is a complex concept, this model has proven to be an accurate estimator. The research results show that student satisfaction is entirely satisfactory, with an SSI score of 68.75. Through the Structural Measurement Method, it was found that perceived benefits and interactions in the process had the most significant influence on satisfaction. This research contributes to discussions about service quality by highlighting the role of perceived usefulness and aspects of the interaction process as factors shaping service quality. Apart from that, this research also reinforces the discussion regarding the relationship between student satisfaction and complaints by showing that this relationship is negative if managed by producing graduates loyal to the university.

Exploring the use of generative artificial intelligence in systematic searching: A comparative case study of a human librarian, ChatGPT-4 and ChatGPT-4 Turbo

The advancement of ChatGPT-powered artificial intelligence (AI) opens up new possibilities for conducting systematic reviews. This study aims to examine how ChatGPT-powered AI can assist in the steps involved in systematic reviews, and its potential and challenges. The authors utilize a comparative case study approach to examine the search-term-generation and article-retrieval capabilities among a human librarian, ChatGPT-4, and a ChatGPT-4 Turbo customized AI-Librarian Bot. The findings suggest that AI could expand the scope of search terms and queries, automating the more repetitive and formulaic aspects of the systematic-review process, while human expertise remains crucial in refining search terms and ensuring methodological rigor. Meanwhile, challenges remain for AI tools’ capacity to access subscription-based or proprietary databases and generate sophisticated search strategies. This study advocates for a synergistic model where AI augments the systematic-review process, complementing the depth and nuance provided by human expertise in achieving accurate and comprehensive research outcomes.

Emission Spectra of Ammonia Laminar Flames in Spherically Propagating Flames and a Modified McKenna Burner

ABSTRACT Ammonia (NH3) has received significant attention recently as a promising carbon-free, low-cost, and safe candidate as a chemical energy storage element and/or fuel alternative. As for any new fuel, fundamental aspects of the combustion process, such as the detailed chemical kinetic pathways of NH3 oxidation, flame propagation and stability, and emissions, are to be understood to predict its combustion behavior in practical systems. One aspect of improving our understanding of the combustion behavior of NH3 is to explore the emission spectra of spherically expanding and/or Bunsen-type flames under controlled laboratory conditions. In this study, flame spectra from NH3-containing mixtures were obtained utilizing two different experimental flame configurations, namely a spherically propagating flame and a modified Mckenna burner flame. Two different fuel mixtures were investigated. The first was an oxy-ammonia mixture consisting of NH3 + (25% O2 +75% N2) with the goal of studying neat ammonia. The second mixture consisted of H2:NH3:N2 with a ratio of 45:40:15 by volume. Several excited-state species within the UV-visible spectral region were identified. For instance, NO* emission features were found between 220 and 280 nm. In addition, OH* emission was detected around 310 nm, and an NH* feature was seen around 337 nm. Moreover, a broadband intensity was reported over the visible range (400 ~ 800 nm), where several NH2* features were also detected. The effect of the mixture on the flame spectra was investigated by examining the two different mixtures utilizing the same experimental apparatus (spherical flame in this case), and it was shown that the mixture has an effect on the presence of NH2* features, which was also backed by chemical kinetics predictions for the NH2* mole fraction profiles. It was shown (from kinetics) that the oxy-ammonia mixture produced more NH2* than the H2:NH3:N2 mixture by up to 113%. Additionally, the effects of the flame configuration were also investigated by studying the same mixture (the H2:NH3:N2 mixture in this case), and it was revealed that the spectra produced using the modified Mckenna burner had less noise, and all features were easily identified. Lastly, laminar flame speeds of the oxy-ammonia mixture were measured using the spherical flame apparatus. The laminar flame speed followed the expected pattern, peaking near a 1.1 equivalence ratio with a measured flame speed of 22.7 cm/s.

Методологічне та програмне забезпечення впровадження електронного документообігу на рівні місцевих бюджетів з використанням ІПК “Місцевий бюджет”

Introduction. The effectiveness of local self-government bodies directly depends on the availability of an appropriate information base and the possibility of using digital tools. In conditions of armed conflict, the implementation of electronic documents into the budgetary process at the local level becomes particularly important, as there is a significant risk of document loss and restricted access to them. Problem Statement. Currently, there is a lack of methodology and practice for electronic document circulation at the level of local budgets in Ukraine using corresponding software products. Purpose. The objective is to substantiate the possibilities of implementing electronic document circulation at the level of local budgets using the “ISC Local Budget” software. Methods. Bibliographic analysis, graphical methods, and analysis and synthesis methods were used. The research is based on the existing functionality of “ISC Local Budget” software which was put into experimental operation. Results. Normative documents regulating the main aspects of the budget process at the level of local budgets have been analyzed. It has been noted that they contain relevant provisions foreseeing the possibilities of implementing electronic document circulation. The authors demonstrate the process of electronic document circulation for budget process participants at the local level in “ISC Local Budget” software. Conclusions. The proposed methodology for implementing electronic document circulation in local self-government bodies using “ISC Local Budget” software is highly relevant, as it will contribute to simplifying and optimizing their activities, providing more efficient, transparent, and convenient interaction among participants in the budget process.

Deformation Estimation of Textureless Objects from a Single Image.

Deformations introduced during the production of plastic components degrade the accuracy of their 3D geometric information, a critical aspect of object inspection processes. This phenomenon is prevalent among primary plastic products from manufacturers. This work proposes a solution for the deformation estimation of textureless plastic objects using only a single RGB image. This solution encompasses a unique image dataset of five deformed parts, a novel method for generating mesh labels, sequential deformation, and a training model based on graph convolution. The proposed sequential deformation method outperforms the prevalent chamfer distance algorithm in generating precise mesh labels. The training model projects object vertices into features extracted from the input image, and then, predicts vertex location offsets based on the projected features. The predicted meshes using these offsets achieve a sub-millimeter accuracy on synthetic images and approximately 2.0 mm on real images.

A morphogenetic characterisation of a potentially dominant African marine species in Europe

Studying the early stages of the introduction of non-indigenous species (NIS) is crucial as it allows immediate management actions aimed at preventing NIS spread at a time when these actions are more likely to be effective. Recent species introductions present unique opportunities to study key aspects of the invasion process. However, comprehensive information on how and when NIS are first introduced remains rare. We assessed the characteristics of the introduction of a member of the widespread Pyura stolonifera species group (Chordata, Tunicata) in Europe. These ascidians are important bioengineer species that can attain amongst the highest benthic biomass per surface area ever reported. We collected introduced individuals on the coast of the northwestern Iberian Peninsula, an area with high shipping traffic and one of the world’s most important mussel farming regions. The specimens were analysed using taxonomic and genetic tools. Both field surveys and taxonomic analysis showed that one of the African members of the species group, Pyura herdmani, has recently been introduced to Europe and, although it does not yet form the large aggregates found in the native range, it is already well-established. Genetic data revealed that only the northwest African lineage of P. herdmani has been introduced to Europe. Considering the low dispersal capabilities of the early life-history stages of P. herdmani, the introduction of this species into Europe can only be explained via human mediated transport of NIS. In order to prevent any detrimental effects on both native biota and/or economically-important anthropogenic activities, regular monitoring of recent NIS introductions is urgently required.

Practitioner Review: Continuity of mental health care from childhood to adulthood for youths with ADHD-who, how and when?

Many youths with attention-deficit/hyperactivity disorder (ADHD) experience significant long-term impairment and may develop concurrent mental and somatic health difficulties as adults. This is associated with burden and costs for the individual and society which could be prevented through continued support in youth. Yet, only few young people transition to adult mental health services for ongoing care in different countries worldwide. We provide an overview on current transition practices, highlighting the gaps in knowledge and the barriers to effective service transitioning, while considering the large geographical variation in available guidelines and service provision. For ease of use, this review is organized in a question-and-answer format covering different aspects of the transition process and considering both service users' and clinicians' perspectives. Consensus is needed to identify those that require continued care, the optimal timing to arrange transition, and the most suitable services. Finally, we discuss cost-effectiveness of transition practices, consider examples of best practice, and propose recommendations on how to improve transitional care, including the importance of service users' input into transition planning.

A systematic literature review exploring the nexus between circular economy and communities

Circular Economy (CE) studies often focus primarily on technical and economic aspects of the transition process. Recently, some authors have started to enquire the social processes connected to of the CE, often referring to communities. This article provides a Systematic Literature Review on the nexus between CE and community to investigate its features according to the experiences reported in the collected documents. The retrieved corpus has been analyzed recurring to consolidated frameworks, as the R hierarchy, the societal areas challenges identified by the Strategic Research and Innovation Agenda developed by the EU project CICERONE, and to the spectrum of participation provided by the International Association for Public Participation. The participative dynamics found in the corpus are analyzed also considering the type of communities, tools, methodologies and goals reported in the retrieved documents. Besides descriptive statistics about the mentioned aspects, the article includes a discussion on some CE social aspects, problematizing and questioning the retrieved stakeholders engagement practices, recurring to a qualitatively selected literature. Conclusions address the main findings related to the most commonly found R strategy, community type, societal challenge areas and type of participative dynamics according to the analytical components chosen in the methodology. Research implications are illustrated, suggesting possible directions for future research to widen the analysis on the nexus between CE and communities.

Perception and adaptation of receptive prosody in autistic adolescents

A fundamental aspect of language processing is inferring others’ minds from subtle variations in speech. The same word or sentence can often convey different meanings depending on its tempo, timing, and intonation–features often referred to as prosody. Although autistic children and adults are known to experience difficulty in making such inferences, the science remains unclear as to why. We hypothesize that detail-oriented perception in autism may interfere with the inference process if it lacks the adaptivity required to cope with the variability ubiquitous in human speech. Using a novel prosodic continuum that shifts the sentence meaning gradiently from a statement (e.g., “It’s raining”) to a question (e.g., “It’s raining?”), we have investigated the perception and adaptation of receptive prosody in autistic adolescents and two groups of non-autistic controls. Autistic adolescents showed attenuated adaptivity in categorizing prosody, whereas they were equivalent to controls in terms of discrimination accuracy. Combined with recent findings in segmental (e.g., phoneme) recognition, the current results provide the basis for an emerging research framework for attenuated flexibility and reduced influence of contextual feedback as a possible source of deficits that hinder linguistic and social communication in autism.