Negative Impact Research Articles

Analysis Of The Intensity Of Gadget Use By Class Xi Culianry Students In Pastry And Bakery Subjects At Smkn 9 Padang

This research is motivated by the emergence of positive and negative impacts in the use of gadgets in the learning process. Apart from the positive impact, the use of gadgets in the learning process has a negative impact, namely disrupting concentration when studying, students being more individual or closed, preferring to be alone with gadgets, which can reduce their ability to socialize in the school environment. This research aims to describe the intensity of gadget use and the learning outcomes of class XI Culinary students in pastry and bakery subjects. This research method is a quantitative correlational approach. The population in this study was class XI Culinary students with a total of 134 students. The research sample consisted of 57 people with the sampling technique being simple random sampling. The data collection technique was carried out using a questionnaire using a Likert scale which has been tested for validation and reliability. Data analysis uses descriptive analysis and correlational analysis.

Fear Of Missing Out (FOMO) Sebagai Gaya Hidup di Era Modernisasi

This study formulates a behavior or fear of being left behind by certain activities carried out by the z generation towards other people, both on social media and in the surrounding environment. This is what keeps Generation Z in touch with what other people are doing on social media, giving rise to anxiety in them and the fear of being left behind in the modernization era. This theme was chosen because there are many teenagers who are always active in using social media which in the end cannot control themselves. Generation Z who is addicted to social media (FoMo) has positive and negative impacts in everyday life where social media addiction makes them always updated with the latest information which indirectly motivates them to do something, meanwhile negative impact they do not have a stand against themselves. This study uses the library study method which aims to find out how the Z generation is afraid of missing moments and how to overcome the fear of losing it. from this study it can be concluded that generation z is always connected with behavior that is afraid of being left behind in the modernization era.

Toxic Positivity Pada Generasi Z

Study aims to find out whether generation Z has ever experienced toxic positivity in their lives and provide insight to generation Z about the dangers and impacts of excessive positive thinking without them realizing it. Excessive positive thinking will have a negative impact on life, because we are required to always think positively in any situation. Toxic positivity often occurs in life, but many people are not aware of it have done this toxic positivity. Toxic positivity generally comes from oneself and others who don't experience it the same problem. This study uses a type of library research. In analyzing this literature review, the author using content analysis techniques (content analysis). The results of this study concluded that toxic positivity occurs because there is a negative emotion harbored by someone as an effort to overcome these emotions and toxic positivity also occurs because of the positive response given by other people to the problem at hand, but the response it even becomes negative because we are required to always think positively and be grateful for the problem we face no worse than anyone else. This study concludes that people who experience toxic positivity in their lives, will experience long-term mental disorders. This study is expected to provide insight into generation z not to always think excessively positive and it's okay to think negatively, because it's a feeling normally experienced by humans.

Implementasi Diversi terhadap Anak yang Berkonflik

The protection and welfare of children in the criminal justice system is the main focus of efforts to find alternative solutions that do not involve children in formal legal processes, such as imprisonment, which can have a negative impact on their development. Law No. 11/2012 on Juvenile Criminal Justice System (SPPA Law) implements the concept of restorative justice through a diversion system. This study aims to understand the regulation of diversion under the SPPA Law and how it is implemented in the Batam District Court in handling children involved in legal problems. The research method used is empirical juridical. The implementation of diversion in Batam District Court aims to achieve restorative justice which emphasizes on recovery, providing opportunities, and children's awareness of their mistakes. The goal is to ensure children's growth and development rights are guaranteed by law. Although the implementation of diversion in Batam District Court is in accordance with the provisions of the SPPA Law, there are obstacles that make it less effective. From 2019 to 2022, 18 cases were eligible for diversion, but only 4 cases were successfully resolved using this method, while 14 other cases failed due to various obstacles and constraints accompanying its implementation.

Pemutusan Hubungan Kerja bagi Pekerja

Workers or laborers have the right to obtain protection for safety and health, morals and decency, as well as treatment in accordance with human dignity and religious values. Termination of Employment is one of the problems in employment that often occurs. Termination of employment causes anxiety because it has a negative impact on the survival and future of workers and their families. As an effort to protect workers or laborers affected by Termination of Employment, in 2021 the Government issued a new policy, namely Government Regulation Number 37 of 2021 concerning the Implementation of the Job Loss Guarantee Program. This research aims to find out and analyze the Job Loss Guarantee program and its implementation in Karawang Regency. This research uses a normative legal research method by examining theories, concepts, legal principles and statutory regulations related to this research. The Job Loss Guarantee Program is provided to workers or laborers affected by Termination of Employment in the form of cash benefits, career counseling benefits, job training benefits, and job market information benefits. This guarantee program came into effect in Karawang Regency on February 11 2022 a year after the regulations were issued with the number of participants who have claimed benefits during 2022 amounting to 683 participants and the total funds disbursed amounting to IDR. 1,385,714,400.00. However, the implementation of this guarantee program in Karawang Regency is still not optimal because there are several technical problems in the benefit claim process

An automated methodology for whole-body, multimodality tracking of individual cancer lesions.

Objective. Manual analysis of individual cancer lesions to assess disease response is clinically impractical and requires automated lesion tracking methodologies. However, no methodology has been developed for whole-body individual lesion tracking, across an arbitrary number of scans, and acquired with various imaging modalities.Approach. This study introduces a lesion tracking methodology and benchmarked it using 2368Ga-DOTATATE PET/CT and PET/MR images of eight neuroendocrine tumor patients. The methodology consists of six steps: (1) alignment of multiple scans via image registration, (2) body-part labeling, (3) automatic lesion-wise dilation, (4) clustering of lesions based on local lesion shape metrics, (5) assignment of lesion tracks, and (6) output of a lesion graph. Registration performance was evaluated via landmark distance, lesion matching accuracy was evaluated between each image pair, and lesion tracking accuracy was evaluated via identical track ratio. Sensitivity studies were performed to evaluate the impact of lesion dilation (fixed versus automatic dilation), anatomic location, image modalities (inter- versus intra-modality), registration mode (direct versus indirect registration), and track size (number of time-points and lesions) on lesion matching and tracking performance.Main results. Manual contouring yielded 956 lesions, 1570 lesion-matching decisions, and 493 lesion tracks. The median residual registration error was 2.5 mm. The automatic lesion dilation led to 0.90 overall lesion matching accuracy, and an 88% identical track ratio. The methodology is robust regarding anatomic locations, image modalities, and registration modes. The number of scans had a moderate negative impact on the identical track ratio (94% for 2 scans, 91% for 3 scans, and 81% for 4 scans). The number of lesions substantially impacted the identical track ratio (93% for 2 nodes versus 54% for ≥5 nodes).Significance. The developed methodology resulted in high lesion-matching accuracy and enables automated lesion tracking in PET/CT and PET/MR.

Collective trauma: Childhood abuse, perceived discrimination, and COVID-19.

Few studies have examined the interplay between collective trauma (e.g., the COVID-19 pandemic) and personal trauma (e.g., child abuse and discrimination). In a longitudinal child maltreatment study, with a community sample added, negative COVID impact (e.g., financial and mental health difficulties due to COVID) was examined in relation to childhood abuse exposure and perceived discrimination. Adults (N = 135) completed an online survey about trauma- and pandemic-related experiences. Regressions examined predictors of negative COVID impact and posttraumatic stress disorder (PTSD) symptoms during the pandemic. Although cumulative maltreatment contributed to negative COVID impact, when high levels of cumulative maltreatment had been experienced in childhood, greater negative COVID impact did not significantly relate to PTSD symptoms: For these participants, PTSD symptoms were relatively high (but not at ceiling) in adulthood overall. Negative COVID impact predicted PTSD symptoms only at low levels of cumulative child abuse. Perceived discrimination was associated with negative COVID impact and PTSD symptomatology. Cumulative childhood abuse at high levels likely set the stage for PTSD symptoms in adulthood, regardless of negative COVID impact. Individuals with lower levels of cumulative childhood abuse had fewer PTSD symptoms unless COVID had a stronger negative impact on their lives. Discrimination contributed to lower pandemic-related well-being. Insight is provided into special vulnerabilities associated with maltreatment backgrounds and discrimination at times of collective challenges. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Enhancing Arabic offensive language detection with BERT-BiGRU model

With the advent of Web 2.0, various platforms and tools have been developed to allow internet users to express their opinions and thoughts on diverse topics and occurrences. Nevertheless, certain users misuse these platforms by sharing hateful and offensive speeches, which has a negative impact on the mental health of internet society. Thus, the detection of offensive language has become an active area of research in the field of natural language processing. Rapidly detecting offensive language on the internet and preventing it from spreading is of great practical significance in reducing cyberbullying and self-harm behaviors. Despite the crucial importance of this task, limited work has been done in this field for nonEnglish languages such as Arabic. Therefore, in this paper, we aim to improve the results of Arabic offensive language detection without the need for laborious preprocessing or feature engineering work. To achieve this, we combine the bidirectional encoder representations from transformers (BERT) model model with a bidirectional gated recurrent unit (BiGRU) layer to further enhance the extracted context and semantic features. The experiments were conducted on the Arabic dataset provided by the SemEval 2020 Task 12. The evaluation results show the effectiveness of our model compared to the baseline and related work models by achieving a macro F1- score of 93.16%.

A Clustering-Based Optimization Approach for Hospital Miscoding Correction

This paper addresses the problem of correcting medical coding errors with respect to some coding recommendations. The problem consists in clustering medical codings and determining for each cluster the set of features to correct in order to maximize the financial benefits subject to coding correction effort constraints. For this purpose, we model the coding recommendation as a disjunction of hypercubes and introduce the concept of correction sets. A mixed integer linear programming model is then proposed to assign medical codes to correction sets in order to maximize the financial benefits. The miscoding is then explained by characterizing optimal clusters with association rules and coding error distribution. A case study on patient stays associated with malnutrition-related ICD codes is presented, and the performance of the proposed methodology is assessed in regard to the current coding staff practice. A significant increase in health services reimbursement is achieved with a limited number of subjects’ features reviewed. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —Medical miscoding has a significant negative impact on hospitals with a financial loss for under coding and a penalty for over coding. Whether a medical review is necessary for all descriptive features of a miscoded subject? Is it possible to reduce unnecessary medical reviews without compromising the goal of increasing hospital financial benefits? This article attempts to answer these questions with a data-driven optimization approach to determine a limited number of miscoding clusters and the set of features to review for each in order to best balance the financial benefits and the medical review workload. The application to a real-life case study leads to a significant increase in hospital fiscal revenue of nearly 6,992,489.69, while reviewing only a small number of descriptive features (5293 out of 22056 features, or 24% of features). Causes are also provided for each discovered coding error subtype to ameliorate medical coders’ coding practices. Furthermore, the proposed approach allows the decision-maker to balance the cost-benefit and the requirement of public health institutions (i.e., miscoding rate).

How does digital transformation empower knowledge creation? Evidence from Chinese manufacturing enterprises

Knowledge creation is the foundation for indigenous innovation in manufacturing enterprises; however, the effects of digital transformation on knowledge creation are still not well understood. Nonaka put forward the model of knowledge creation, which includes four processes: socialization, externalization, combination, and internalization, known as the famous SECI model. Based on the SECI model, this study analyzes the effects of digital transformation on four knowledge creation processes, using panel data from Chinese listed manufacturing enterprises from 2007 to 2020. The study provides several novel findings. First, digital transformation positively affects all knowledge creation processes, with the effects on knowledge combination capability being particularly notable. Second, the effects of digitalization inputs on externalization and combination are insignificant but exert a negative impact on socialization and internalization. Third, a heterogeneity analysis reveals that the facilitating effect of digital transformation is more significant in state-owned and large enterprises. Moreover, it primarily acts as the "cherry on top," significantly benefiting enterprises that already have strong knowledge creation capabilities. A low level of digital technology development in the region where an enterprise is located will inhibit the role of digital transformation in promoting knowledge socialization. Furthermore, enterprise innovation culture and regional innovation environments play positive moderating roles. This study contributes to further understanding of how digital transformation affects enterprises’ knowledge creation activities.

Role of anti-Asian racism for subjective well-being among people of Asian origin in Germany.

People of Asian origin in Germany are affected by racial-ethnic discrimination, which became even more evident in the context of surging anti-Asian racism (AAR) during the COVID-19 pandemic. Experiences of discrimination can pose a threat to mental health. This study tested the role of discrimination experiences for subjective well-being in a sample of Asian origin people in Germany. A total of 671 participants (76.5% women) who self-identified as being of Asian origin participated in an online survey in December 2020. Participants completed several measures of racial-ethnic discrimination experiences, some of which were related to the pandemic (e.g., experienced microaggressions and perceived change in discrimination experiences during the pandemic), as well as indicators of subjective well-being (positive and negative affect, life satisfaction, and subjective health status). In structural equation models, discrimination experiences were associated with lower subjective well-being (b = -.36, SE = .16, p < .05). A follow-up analysis suggested that this relationship was evident for discrimination measures that had a reference to the pandemic as well as measures without this reference. The range of different discrimination experiences among people of Asian origin in Germany is characterized by discrimination in the context of the pandemic and also beyond, and these may have a significant negative impact on the mental health of those affected. The findings of this study have practical implications both for reducing anti-Asian stigmas in society and in the context of psychological counseling of affected individuals, which should target the maintenance or improvement of subjective well-being. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Characterisation of night-time outdoor lighting in urban centres using cluster analysis of remotely sensed light emissions

Evidence of the negative impact of light pollution on ecosystems is increasing every year. Its monitoring and study requires the identification, characterisation and control of the emitting sources. This is the case of urban centres with outdoor lighting that spills light outside the place it is intended to illuminate. The quantity and nature of the pollutant (artificial light at night) depends on the lamps used and how they are positioned, which is important because a greater proportion of blue light means a greater scattering effect. In this study, we analysed the emissions of 100 urban centres in the north of Granada province (Spain), using images from International Space Station (ISS) in 2012 and 2021, and compared the results with public lighting inventories and with data from the VIIRS instrument. Using inference and cluster analysis techniques, we confirmed an overall increase in emissions and a shift in their colour towards blue, consistent with the results of the lighting inventory analysis. However, there is a discrepancy with the results obtained from VIIRS images, which is explained by the lack of sensitivity of this instrument to blue light. We concluded that the analysis of ISS images is a powerful tool for the study and characterisation of street lighting and its evolution, especially when the changes occur in the blue band.

Maintaining Dignity and Autonomy in the Process of Aging

For decades, research has shown that ageism undermines older adults’ mental and physical health by implying they are less capable and worthy of care. The preservation of dignity and autonomy when confronted by a declining capacity for autonomous decision making due to physical or cognitive disability is difficult and can create personal and ethical dilemmas for providers and patients. It is projected that by 2050, 22.5% of the North American population will be over 65. In addition, statistics show that by 2060, 13.9 million Americans aged 65 and older are projected to be diagnosed with Alzheimer's disease and related dementias. The incidence for mild cognitive impairment (MCI) or mild neurocognitive disorder may be twice as high as dementia. The Universal Declaration of Human Rights adopted in 1948 states that all people are "free and equal in dignity and rights". However, this concept has not been implemented for all older adults especially those with cognitive impairment. Therefore, it is even more critical that mental health providers use their voice to educate people about the negative impact of ageism and advocate for older people in clinical settings.This workshop challenges conventional thinking about our aging population and moral concepts related to ageism, justice, and maintaining dignity and autonomy. This presentation will provide information on how to foster intergenerational solidarity that reduces ageism and benefits people of all ages. The presenters will discuss how autonomy plays a key role in this solidarity as it implies responsibilities as well as rights. In addition, a discussion of ethical theories which suggest that older adults are morally obligated to be productive with their talent and professions will be explained. Residents in long-term care are even more likely to be impacted by ageism as the prevailing belief in our culture is that life lived in independence is of more value than life lived in a facility. The workshop will discuss how providers who work in long term care can support residents and try to ensure their decisions and behaviors are as free from bias as possible. The presenters will use real life case scenarios to engage participants and facilitate learning about these issues.

Welfare solidarity in multi-ethnic societies: can social investment reduce the anti-immigrant bias?

Migration flows have diversified western societies, challenging the political viability of inclusive welfare states. This is very clear in research on perceptions of deservingness to social benefits, which consistently shows that immigrants are considered as less deserving of collective help than natives. At the same time, welfare states are being reoriented towards social investment, putting more emphasis on services that strengthen human capital and improve access to employment rather than on redistribution. In this article we ask whether the shift towards a social investment welfare state is likely to reduce the immigrant deservingness penalty. Theoretically, we rely on two perspectives: social trust and identity theory. Following the literature on social trust, we expect the reorientation of welfare states towards social investment to reduce the negative impact of diversity on solidarity, as those interventions are to an extent immune to free-riding. Alternatively, according to social identity theory, we expect a similar in-group bias independent of the intervention. We rely on vignette experiments conducted in 2021 in Denmark, Germany, Sweden, Switzerland, the UK and the US to compare the immigrant deservingness penalty between social compensation and social investment interventions. Results show no difference between the immigrant deservingness penalty across the social intervention types, suggesting exclusionary attitudes are driven by in-group favouritism.

Review of Mechanical, Electrochemical, Electrical, and Hybrid Energy Storage Systems Used for Electric Vehicles

The population rate in the world is increasing rapidly. Depending on the population, the need for transportation increases at the same rate. Traditional vehicles, which provide great convenience in transportation, bring with them some disadvantages. For example, the fossil fuel used in conventional vehicles creates greenhouse gases such as CO2 and N2O. This has a negative impact on global warming. To eliminate these negativities, interest in electric vehicle (EV) and hybrid electric vehicles (HEV) technology studies has increased recently. Some problems have arisen with these technological studies. The range problem in vehicles is the biggest of these problems. Therefore, various solutions are sought for energy storage problems in vehicles. In this article, studies on HEV and energy storage in EVs are examined. According to the data obtained because of this examination, the performance analysis of the Energy Storage Systems (ESS) was made. The performances of the electrochemical batteries used in HEVs and EVs were compared. In addition to these, flywheel energy storage system was also investigated in HEVs and EVs to recover the energy lost because of braking.

Assessment of the impact of the implemented learning spaces on science achievement: Building Resilience at General Tomas Mascardo National High School

General Tomas Mascardo National High School is currently facing a significant challenge of classroom shortages, posing a threat to the fundamental principle of "education for all." This study aims to evaluate the impact of makeshift classrooms on the academic performance of science subject to students during the school year 2023–2024, adopting a mixed-methods approach. The analysis reveals variations in mean percentage scores across sections and shifts, emphasizing the need to investigate specific factors influencing performance outcomes. Despite small attendance fluctuations, the overall trend suggests a high level of students’ presence, indicating a generally conducive learning environment. However, the study identifies significant disparities in academic performance, particularly in the Quarterly Assessment (Q.A) variable among makeshift classes. The negative impact on academic performance is evident, highlighted by a statistically significant deviation in Q.A scores, emphasizing a specific area of concern. Irregular attendance patterns during September and October further contribute to the negative effect on academic performance, emphasizing the need for targeted interventions to address attendance issues systematically. Themes emerging from student responses encompass environmental factors, comfort, focus, motivation, adaptation, preference for regular classrooms, teacher impact, external factors, and physical environment. Morning shift students highlight noise and discomfort as significant barriers, while afternoon shift students express mixed feelings, acknowledging spaciousness but preferring regular classrooms for comfort. Both shifts discuss motivation, with morning shift students suggesting adaptive measures and crediting supportive teachers. In contrast, afternoon shift students express various emotions, including decreased motivation due to negative thoughts and noise pollution affecting focus. External factors, distractions, and concerns related to the physical environment are prevalent in both shifts, underlining the complexity of challenges students face in makeshift classrooms. Recommendations include a comprehensive investigation into academic disparities, addressing the quality of answers, targeted interventions for attendance improvement, and a holistic approach to creating a conducive learning environment.

Bank Lending Channel of Monetary Policy: Empirical Evidence from Bank Level Data of Selected Emerging Economies

Examining the effects of monetary policy on the bank lending channel is the main objective of this study on a sample of 18 emerging economies from 2006 to 2021 by using bank-level data. Research shows that the bank lending channel does operate and is functional in the banking sectors of the developing countries that were selected for the sample. The econometric models used in the study include sys-GMM, fixed effects, and instrumental variable regression. In particular, results suggest that monetary policy (or monetary tightening) negatively affects whereas economic growth positively influences bank lending. The specific characteristics of bank variables (i.e., liquidity and size) also expand bank lending. One of the most important factors in reducing the negative impact of monetary policy is the size and liquidity of banks. It has been reported through the robustness check exercise that the results largely remain robust when instrumental variable regression is used and when pandemic years are eliminated from the data sample. This research includes significant implications for policy for the selected emerging economies.

Thread of Influence: Understanding the Dynamics Shaping Current Academic Performance in Faisalabad’s Matriculation Students through Sibship, Prior Academic Performance, and Parental Involvement

The study assessed the impact of sibship size, prior academic performance, and parental involvement on the current academic performance of matriculation students in urban schools in Faisalabad. A multistage sampling technique was used to select respondents. The study used a quantitative and cross-sectional research design. The questionnaire had items related to the study variables. The questionnaire was pretested on 30 students to assess its validity and reliability. The findings of the study revealed that prior academic performance and parental involvement significantly positively impact current academic performance. However, the study underscores the robust negative impact of sibship size on current academic performance. These findings offer significant new information for the field of educational assessment and evaluation. The study helps to focus student interventions and promote a comprehensive comprehension of the various factors that influence the current academic performance of high school students.

LEVELS OF DEPRESSION AND PSYCHOLOGICAL WELL-BEING AMONG INDIVIDUALS DURING THE COVID-19 PANDEMIC PROCESS

In this study, the levels of depression and psychological well-being among individuals were examined during the Covid-19 pandemic. The population of the study comprises individuals living in the Turkish Republic of Northern Cyprus aged between 16 and 65. A total of 447 individuals, selected through random sampling, were included in the study. Data were collected using the Sociodemographic Information Form, the Psychological Well-Being Scale, and the DSM-5 Depression Scale. Within the scope of the research, Mann-Whitney U analysis was conducted for binary groups, and Kruskal-Wallis H analysis was employed for three or more groups as non-parametric tests. It was determined that there was a negative and moderately significant relationship between the level of depression and the level of psychological well-being among individuals. Although variables such as age, education level, living situation, chronic disease, and psychiatric diagnosis were not found to be correlated with the level of psychological well-being, gender, marital status, income level, the degree of psychological negative impact from the pandemic, and the use of psychiatric drugs were observed to influence the level of psychological well-being. Finally, no significant difference was found between the level of depression and variables such as gender, age, education status, the psychological negative impact of the pandemic process, and chronic disease. It was concluded that variables such as marital status, income level, cohabitating person, psychiatric drug use, and psychiatric diagnosis were associated with the level of depression.

TaMAPK3 phosphorylates TaCBF and TaICE and plays a negative role in wheat freezing tolerance

Freezing temperature during overwintering often kills plants; plants have thus, developed a defense mechanism called ‘cold acclimation’, in which a number of genes are involved in increasing cell protection and gene expression. Mitogen-activated protein kinase (MAPK) controls proteins' activities by phosphorylation and is involved in numerous metabolic pathways. In this study, we identified the protein interaction between TaMAPK3 and the proteins in the cold response pathway, ICE41, ICE87, and CBFIVd-D9. The subcellular localization and bimolecular fluorescence complement (BiFC) assays revealed that these proteins interact in the nucleus or in the plasma membrane. Furthermore, MAPK3-mediated phosphorylation of ICE41, ICE87, and CBFIVd-D9 was verified using an in vitro phosphorylation assay. TaMAPK3-overexpressing transgenic Brachypodium showed a lower survival rate upon freezing stress and lower proline content during cold acclimation, compared to wild-type plants. Furthermore, cold response gene expression analysis revealed that the expression of these genes was suppressed in the transgenic lines under cold treatment. It was further elucidated that MAPK3 mediates the degradation of ICE and CBF proteins, which implies the negative impact of MAPK3 on the freezing tolerance of plants. This study will help to elucidate the molecular mechanisms of cold tolerance and the activity of MAPK3 in wheat.