Collection Of Information Research Articles

The new production strategies employed among contemporary Jordanian music groups

This study aimed to explore the musical production strategies that emerged among new musical groups that emerged in Jordan since the beginning of the 21st century by studying four cases of Jordanian new music bands. The unprecedented emergence of the Internet and social media in the Jordanian daily-life context has freed the cultural scene and changed the dominant role of production companies. To achieve the study's object, the researcher employed observation and personal interviews for information collection. The study results showed that the four music bands use mainly social media and the Internet in production through several strategies developed by the bands and showed a clear success in using them as effective tools in Jordanian independent music production. Keywords: Jordanian new music bands, Independent music production, Music production strategies, Crowdfunding, Social Media.

SPATIAL COVERAGE ANALYSIS OF BUS STOP SET AND ITS RELATIONSHIP TO THE SURROUNDING LAND USES. CASE STUDY, MANIZALES, COLOMBIA

The main objective of the research is to determine the efficiency in population and area coverage of the set of bus stops to existing land uses in the city, allowing the identification of possible shortcomings, which leads to the formulation of restructuring proposals in terms of the location of the stops. The research methodology to be applied includes the use of geostatistical models of accessibility based on GIS-type digital tools, supported by the collection of field information and road inventories. As a main result, it is obtained that the stop-system coverage allows the access of more than 80% of the population in a trip time by walking less than 5 minutes. Likewise, it is possible to identify a robust redundancy concerning the system of stops. Thus, it is concluded that the research process facilitates the evaluation and identification of possible interventions, guaranteeing a better coverage of the stops set regarding the city's existing activities.

Leadership Styles that generate Risk Factors in teaching work: High School Education

Introduction: Psychosocial Risk Factors (PRF) in the workplace are a current topic that is visible in any type of organization, and the causes that originate them are diverse. Objective: The purpose of the present study is to demonstrate the correlation between certain leadership styles and the generation of Psychosocial Risk Factors in teaching work at a public high school educational institution located in Guadalupe, Zacatecas, México. Method: The research approach is quantitative, non-experimental, cross-sectional, with a descriptive-correlational scope. For the collection of information, a self-developed instrument with a Cronbach's alpha of 0.865 was used, applied to a random sample of50 teachers. Results: The findings reveal a statistically significant correlation between permissive and bureaucratic administrative styles and teacher harassment in three of its dimensions: physical, psychological, and economic aggression, the last two being the most recurrent. Conclusion: Leadership styles or administrative styles have a transcendent influence, affecting the physical and psychological health of the recipient.

Accelerating Innovation in Primary Care to Support Adolescent Health Discussions.

Adolescent strengths and risks are not routinely captured in systematized and actionable ways in pediatric primary care. To address this problem, we developed a comprehensive adolescent health questionnaire (AHQ) integrated within the electronic health record and evaluated the AHQ's impact on collection of information on prioritized health-related domains. We developed and pilot tested the AHQ. We then scaled and assessed the AHQ's impact on data collection. AHQ development used innovation methods and measured feasibility and acceptability outcomes. Scaling and postscaling outcomes included Reach, Effectiveness, Adoption, Implementation, Maintenance and Sustainability measures: Reach (total questionnaires completed), Effectiveness (capture of key information across health domains pre- vs post-AHQ scaling), Adoption (proportion of practices that adopted the AHQ), Implementation (proportion of eligible adolescents who completed the AHQ), and Maintenance (monthly completion rates). AHQ development led to a tool that was feasible and acceptable for use. During scaling (October 2020-December 2021), 22 147 questionnaires were completed by 20 749 unique adolescents aged 13 to 21 years at their preventive visit. Comparing pre- versus post-AHQ scaling data, use of the AHQ increased collection of information across domains, especially for strengths, gun safety, substance use, sexual activity, sexual orientation, and gender identity, from ranges of 0%-25% to 92%-95%. All 31 practices adopted the AHQ with completion at 88.7% of visits (n = 24 968). Two years postscaling, completion rates were >91% per month. We successfully developed, scaled, and maintained an AHQ in a widely-used electronic health record system, a model for improving adolescent care and foundation for developing future interventions.

Pillar data-acquisition strategies for cryo-electron tomography of beam-sensitive biological samples.

For cryo-electron tomography (cryo-ET) of beam-sensitive biological specimens, a planar sample geometry is typically used. As the sample is tilted, the effective thickness of the sample along the direction of the electron beam increases and the signal-to-noise ratio concomitantly decreases, limiting the transfer of information at high tilt angles. In addition, the tilt range where data can be collected is limited by a combination of various sample-environment constraints, including the limited space in the objective lens pole piece and the possible use of fixed conductive braids to cool the specimen. Consequently, most tilt series are limited to a maximum of ±70°, leading to the presence of a missing wedge in Fourier space. The acquisition of cryo-ET data without a missing wedge, for example using a cylindrical sample geometry, is hence attractive for volumetric analysis of low-symmetry structures such as organelles or vesicles, lysis events, pore formation or filaments for which the missing information cannot be compensated by averaging techniques. Irrespective of the geometry, electron-beam damage to the specimen is an issue and the first images acquired will transfer more high-resolution information than those acquired last. There isalso an inherent trade-off between higher sampling in Fourier space and avoiding beam damage to the sample. Finally, the necessity of using a sufficient electron fluence to align the tilt images means that this fluence needs to be fractionated across a small number of images; therefore, the order of data acquisition is also a factor to consider. Here, an n-helix tilt scheme is described and simulated which uses overlapping and interleaved tilt series to maximize the use of a pillar geometry, allowing the entire pillar volume to be reconstructed asa single unit. Three related tilt schemes are also evaluated that extend the continuous and classic dose-symmetric tilt schemes for cryo-ET to pillar samples to enable the collection of isotropic information across all spatial frequencies. Afourfold dose-symmetric scheme is proposed which provides a practical compromise between uniform information transfer and complexity of data acquisition.

Information Collection and Personalized Service Strategy of Monopoly under Consumer Misrepresentation

To decrease privacy risks, consumers may choose to misrepresent themselves when they are asked to offer personal information. Using a game theoretic model, this study examines the impact of consumer misrepresentation on both a monopolistic firm and consumers. The results show that consumer misrepresentation may benefit the firm, but hurt consumers under certain conditions. In addition, we find that when the unit cost of personalized service is low, consumer misrepresentation may encourage the firm to provide a higher personalized service level. Moreover, when consumers misrepresent themselves and the firm only covers part of the market, a greater unit value of consumer private information will reduce the firm’s profit, while a greater unit cost of personalized service will increase the firm’s profit. The analysis reported here provides important insights regarding the application of consumer information in online personalized marketing and consumer privacy protection.

The influence of context on diagnostic reasoning: A narrative synthesis of experimental findings.

Contextual information which is implicitly available to physicians during clinical encounters has been shown to influence diagnostic reasoning. To better understand the psychological mechanisms underlying the influence of context on diagnostic accuracy, we conducted a review of experimental research on this topic. We searched Web of Science, PubMed, and Scopus for relevant articles and looked for additional records by reading the references and approaching experts. We limited the review to true experiments involving physicians in which the outcome variable was the accuracy of the diagnosis. The 43 studies reviewed examined two categories of contextual variables: (a) case-intrinsic contextual information and (b) case-extrinsic contextual information. Case-intrinsic information includes implicit misleading diagnostic suggestions in the disease history of the patient, or emotional volatility of the patient. Case-extrinsic or situational information includes a similar (but different) case seen previously, perceived case difficulty, or external digital diagnostic support. Time pressure and interruptions are other extrinsic influences that may affect the accuracy of a diagnosis but have produced conflicting findings. We propose two tentative hypotheses explaining the role of context in diagnostic accuracy. According to the negative-affect hypothesis, diagnostic errors emerge when the physician's attention shifts from the relevant clinical findings to the (irrelevant) source of negative affect (for instance patient aggression) raised in a clinical encounter. The early-diagnosis-primacy hypothesis attributes errors to the extraordinary influence of the initial hypothesis that comes to the physician's mind on the subsequent collecting and interpretation of case information. Future research should test these mechanisms explicitly. Possible alternative mechanisms such as premature closure or increased production of (irrelevant) rival diagnoses in response to context deserve further scrutiny. Implications for medical education and practice are discussed.

Impact of clinical lymph node status on survival in patients with intrahepatic cholangiocarcinoma undergoing liver resection plus lymphadenectomy.

Liver resection plus lymphadenectomy is essential to ensure precise staging in patients with intrahepatic cholangiocarcinoma (ICC). This study aimed to investigate the influence of the clinical status of lymph nodes on the survival outcomes in ICC patients. Between January 2015 and December 2020, consecutive patients diagnosed with ICC who underwent liver resection plus lymphadenectomy were enrolled. Clinical assessment of lymph node status included positron emission tomography/computed tomography examination by radiologists pre-operatively, alongside intraoperative abdominal examination by the surgical team. Retrospective collection and analysis of clinical information alongside survival data were performed to assess outcomes. The study included a total of 359 patients, with 291 (81.0%) and 151 (42.1%) displaying clinically and pathologically positive lymph nodes, respectively. The clinical assessment method had a sensitivity of 81.2% and a specificity of 54.3%. Following a median follow-up period of 32 months, the overall survival (OS) rates at 1, 3, and 5 years were 69.1%, 50.6%, and 41.2%, respectively, while the disease-free survival (DFS) rates were 60.7%, 42.8%, and 40.1%, respectively, across the cohort. Patients who had clinically positive but pathologically negative lymph nodes recorded the highest median OS (52 months) and median DFS (32 months). Conversely, those who were clinically negative but pathologically positive experienced the lowest median OS (16 months) and median DFS (8 months). The current approach to clinically assessing lymph node status in ICC has a significant rate of false positives. Patients with clinically positive but pathologically negative lymph nodes exhibit the most favourable survival outcomes.

Cancer in people who identify as lesbian, gay, bisexual, transgender, queer, or gender-nonconforming.

Individuals who identify as lesbian, gay, bisexual, transgender, queer, intersex, or gender-nonconforming (LGBTQ+) experience discrimination and minority stress that may lead to elevated cancer risk. In the absence of population-based cancer occurrence information for this population, this article comprehensively examines contemporary, age-adjusted cancer risk factor and screening prevalence using data from the National Health Interview Survey, Behavioral Risk Factor Surveillance System, and National Youth Tobacco Survey, and provides a literature review of cancer incidence and barriers to care. Lesbian, gay, and bisexual adults are more likely to smoke cigarettes than heterosexual adults (16% compared to 12% in 2021-2022), with the largest disparity among bisexual women. For example, 34% of bisexual women aged 40-49 years and 24% of those 50 and older smoke compared to 12% and 11%, respectively, of heterosexual women. Smoking is also elevated among youth who identify as lesbian, gay, or bisexual (4%) or transgender (5%) compared to heterosexual or cisgender (1%). Excess body weight is elevated among lesbian and bisexual women (68% vs. 61% among heterosexual women), largely due to higher obesity prevalence among bisexual women (43% vs. 38% among lesbian women and 33% among heterosexual women). Bisexual women also have a higher prevalence of no leisure-time physical activity (35% vs. 28% among heterosexual women), as do transgender individuals (30%-31% vs. 21%-25% among cisgender individuals). Heavier alcohol intake among lesbian, gay, and bisexual individuals is confined to bisexual women, with 14% consuming more than 7 drinks/week versus 6% of heterosexual women. Incontrast, prevalence of cancer screening and risk reducing vaccinations in LGBTQ+ individuals is similar to or higher than their heterosexual/cisgender counterparts except for lower cervical and colorectal cancer screening among transgender men. People within the LGBTQ+ population have a higher prevalence of smoking, obesity, and alcohol consumption compared to heterosexual and cisgender people, suggesting a higher cancer burden. Health systems have an opportunity to help inform these disparities through the routine collection of information on sexual orientation and gender identity to facilitate cancer surveillance and to mitigate them through education to increase awareness of LGBTQ+ health needs.

Completeness of provided information as a key aspect of successful counterparty verification completeness of provided information as a key aspect of successful verification of counterparty for its financial stability and reliability

The article presents the results of the analysis of Russian and foreign information and analytical systems conducted by the author of this article in the context of their methods and volumes of information collection. As a result of the study, a conclusion was made about the completeness and nature of the information provided to the user by information and analytical systems, as well as current shortcomings were highlighted and features that require further improvement and efficiency improvement in the use of such tools in the field of business and finance were emphasized.

Does fuel price volatility induce price instability in the agricultural commodity supply chain? Empirical evidence from Ghana

Food price volatility has become a hot topic after the global food crisis of 2007/2008 and 2010/2011 due to the livelihood threat it poses, particularly to poor households. The purpose of this paper is threefold: to determine the possible volatility spillover effect from fuel to food prices, assess the perception of actors along the food supply chain on the effects of price volatility, and investigate the indigenous management methods used by the identified actors. We discovered evidence of volatility transmission from fuel to food markets in southern Ghana. However, in northern Ghana, where agricultural commodities are primarily brought to market on motorcycles and tricycles, the spillover effect of fuel is negligible. The supply chain participants believe that price volatility is having a detrimental impact on their decision-making or planning, supplies/production, and finances. Wholesalers and retailers handle price volatility by diversifying their sources, storing products for better pricing, and implementing volume controls. Farmers' primary price volatility control strategies include crop diversification, market information collection, staggered sales, and produce storage for better prices. Policy ideas have been developed to assist reduce price uncertainty in the basic food supply chain.

ERT-EDR: Online defense framework for TCP-targeted LDoS attacks in SDN

The Low-rate denial of service (LDoS) attack is a variant of denial of service (DoS) attack that exploits low overhead to render target services unreachable for legitimate users. Unlike legacy networks, software-defined networking (SDN) separates the behavior of controlling and forwarding, providing excellent programmability to achieve real-time defense against LDoS attacks. Leveraging the potential of SDN’s programmability, we propose a real-time anomaly defense framework tailored for SDN, named ERT-EDR. This framework is capable of detecting and mitigating TCP-targeted LDoS Attacks and comprises three modules: (1) The Information Collection Module. It periodically samples the traffic statistics for analysis. (2) The LDoS Attack Detection Module. It combines six features of traffic statistics and utilizes the Extremely Randomized Trees (ERT) algorithm to detect. (3) LDoS Attack Mitigation Module. It locates attacked ports with the Edit Distance on Real sequence (EDR) algorithm and installs flow table entries to filter attack traffic.Extensive experiments are conducted under various background traffic scenarios to validate the effectiveness and scalability of ERT-EDR. The results demonstrate that ERT-EDR can effectively detect TCP-targeted LDoS attacks with 96.4667% accuracy and 96.4977% F1score. Furthermore, it accurately identifies the attacked port and successfully mitigates attacks.

Digital outcome measures from smartwatch data relate to non-motor features of Parkinson’s disease

Monitoring of Parkinson’s disease (PD) has seen substantial improvement over recent years as digital sensors enable a passive and continuous collection of information in the home environment. However, the primary focus of this work has been motor symptoms, with little focus on the non-motor aspects of the disease. To address this, we combined longitudinal clinical non-motor assessment data and digital multi-sensor data from the Verily Study Watch for 149 participants from the Parkinson’s Progression Monitoring Initiative (PPMI) cohort with a diagnosis of PD. We show that digitally collected physical activity and sleep measures significantly relate to clinical non-motor assessments of cognitive, autonomic, and daily living impairment. However, the poor predictive performance we observed, highlights the need for better targeted digital outcome measures to enable monitoring of non-motor symptoms.

Graph neural networks for CO[formula omitted] solubility predictions in Deep Eutectic Solvents

Deep Eutectic Solvents (DESs) are a promising class of solvents for CO2 capture. DESs are complex mixtures that can be designed to optimize CO2 solubility and overall capture process efficiency. However, the vast design landscape of DES mixtures makes experimental investigation prohibitive; as such, there is a need for computational models that can quickly and efficiently navigate the design space and inform data collection efforts. In this work, we propose Graph Neural Network (GNN) models for predicting CO2 solubility for DESs; the GNN leverages a mixture graph representation that captures the molecular structure of the DES components as well as their intermolecular interactions. We compare the GNN framework against alternative architectures (neural networks, graph convolution networks, and random forests) and data representations (molecular fingerprints, sigma profiles, and graphs). We show that the proposed approach offers superior predictive performance; specifically, we show that solubility can be predicted reliably directly from molecular structure (without the need of using sigma profiles as proposed in previous studies). This result is important, as obtaining sigma profiles requires expensive density functional theory computations. We also explored the ability of GNNs to predict solubility for new DES mixtures and operating conditions. We found that the model extrapolates across temperature reliably. However, we also found deficiencies in the ability of the model to predict solubility for DES mixtures, pressures, and molar ratio not included in the training sets; we show that this is due to an inherent lack of chemical diversity in datasets available in the literature. The proposed computational capabilities can thus help navigate the design space of DES and inform data collection efforts. Our models, data, and benchmarks are shared as Python code implemented in Jupyter notebooks.

Narratives of postpartum women about childbirth care practices

The objective of this article was to investigate the narratives of postpartum women about childbirth care practices. This is narrative research with a qualitative approach, whose setting was the municipality of Sobral, Ceará, in a reference maternity hospital for the 11th health region. Information collection took place in the months of November and December 2023, with 14 postpartum women. The research was approved by the Research Ethics Committee, with opinion no. 6,478,196. Thus, it can be seen that the majority of women had positive perceptions regarding the obstetric care provided by the institution: presence of a companion, satisfaction with the health team, normal birth without medical interventions, recognition of normal birth as the best birth. Thus, it is concluded that the quality of the service at the unit presented as the stage for the interviews shows dynamic access, assistance aimed at care with information and conduct and the encouragement of safe practices for maternal and child health.

Propuesta para la mejora en la reposición de inventario en una empresa retail peruana mediante herramientas lean

This research work aims to improve inventory replenishment in a retail company as it is essential for any company to meet product demand. Therefore, by analyzing the percentage of canceled orders within the retail company and using an Ishikawa diagram, it was determined that the absence of distribution centers led to cost overruns in the logistics process. By employing this methodology, the improvement proposal was divided into three stages: logistics hubs information collection and diagnosis; design and validation of the improvement proposal; and evaluation of the improvement proposal viability, risks and implementation time. These stages indicate that the proposed solution would involve establishing a logistics hub to serve as a low-cost distribution warehouse. Furthermore, during this research, we used the 5S methodology, one of the most popular lean tools, applicable to every department and action. Based on the analysis of the cost flow and economic scenarios, it is concluded that implementing the hub is feasible. This would not only increase product availability and assortment but also result in savings on transportation costs from the distribution center in Lima to the hub located in Tarapoto, Peru.

Peran Filsafat Ilmu dalam Perkembangan Ilmu Pengetahuan di Era Perkembangan Zaman

This study review saspect sof the philosophy of science that focuses on aspect sof the development of science in the era of the industrial revolution 5.0. The study used a qualitative research method with aliteratur estudy approach.The collection of relevant data information is taken from various library sources suchas;books,journals,news, internet in accordance with the topic of discussion. The results of this study were obtained by classifying the dimensions, elements, and sub-elements of the relationship between philosophy and science, philosophy based on its character and function, the relationship between the philosophy of science and other sciences, studying philosophy, science and the industrial revolution 5.0

The joint operation of five career indecision factors: A longitudinal examination

AbstractWhile extensive research has explored the taxonomy of career indecision, a longitudinal examination of the joint operation of major indecision factors is lacking. Tracking a sample of US college students (n = 261) over three time points, the current study examined a mediation model involving lack of readiness, neuroticism/negative affectivity, interpersonal conflicts, need for information, and choice/commitment anxiety. The results showed that need for information mediated the positive predictions of lack of readiness and interpersonal conflicts for subsequent choice/commitment anxiety. However, neuroticism/negative affectivity did not predict need for information while controlling for lack of readiness and interpersonal conflicts. Therefore, the current study suggests that motivational and interpersonal barriers could undermine readiness for committing to a career direction because these barriers could impede information collection. The theoretical and practical implications of this study are deliberated along with its limitations and recommendations for future studies.

Digitalization Breeds Technocentric to Dehumanise Behavior in the Classroom and Dragged into the Arts

This article aims to reveal the impact of the digitalization phenomenon dominating the classroom. Interestingly, the phenomenon needs to be explored more deeply so that each individual can see the impact of today's digitalization. The method used in exploring the phenomenon is library research, while the collection of information and data is done by reviewing and/or exploring many journals and other sources that are considered relevant to the topic of this article. The results of the study obtained are: 1) The power of digitalization that has dominated the classroom nourishes technocentric behavior where technocentrism adherents assume that everything in this world can be overcome by technology; 2) technocentrism that is in power turns the attention of 21st-century educators, instead of focusing on meeting the needs of students, educators are busy showing off the sophistication of technology in the classroom in the learning process. Educators glorify the use of technology in all forms of learning practices, which makes educators complacent and forget that these actions help drag students into the abyss of technocentrism, which ultimately worsens the social skills of each learner because they are accustomed to sitting, being silent, and only interacting with inanimate objects; 3) Not only educators, technocentrism also permeates learners. The inherent behavior makes learners more individualistic and selfish. This attitude is shown by minimal interaction, little direct communication, difficulty adapting, loners, and feeling that everything can be solved by themselves. As a result of this phenomenon, it leads to less concern for the surrounding environment, weakens empathy, and nourishes dehumanizing behavior in each individual. 4) Not only that, technocentrism also drags down the field of art. Artistic activities such as exhibitions are conducted virtually. Unfortunately, this has decreased the quality and satisfaction of the audience. In terms of quantity, there are indeed many visitors, but not the quality of the exhibition itself.

Strategi Pembelajaran Inovatif: Modul IPA berorientasi PBL untuk meningkatkan prestasi siswa di SD Muhammadiyah Inovatif Mertoyudan

Background: Schools currently need more interactive and effective learning methods to improve student learning outcomes. Problem Based Learning (PBL) was chosen as an approach because this method encourages students to think critically and solve problems, which is expected to improve their understanding and learning outcomes. Purpose: The aim of this research is to improve student learning outcomes through module development and to determine the feasibility and effectiveness of using the module. Method: This study uses the R & D (Research & Development) approach. The development includes an initial trial of 3 validators, that are field trials are limited to 15 students and 2 teachers and the operational field trialas many as 23 students. The nstruments that used are questionnaire, observation, interview, and test. The operational field trial uses the design of one group pre-test and post-test. The learning outcomes data with a paired t-test sample are used to determine the differences in learning outcomes while the increase in learning outcomes is calculated through normalized n-gain. Findings: Based on the results of the study, it can be concluded as follows: 1) the science module oriented Problem Based Learning (PBL) on the material nature of objects to improve student learning outcomes refers to Borg & Gall which is modified into nine stages namely research and information collection, planning, initial product design, initial trials, initial product revisions, limited field trials, second product revisions, operational field trials, third product revisions. 2) The feasibility modules oriented on PBL is based on the assessment of material experts, learning experts, media experts, practitioners of education in general obtain very good classification. 3) Development science modules oriented on PBL in material properties of objects can improve student learning outcomes indicated by an average increase of 0.54 calculated through n-gain.