Bad Consequences Research Articles

Knowledge and Attitudes of Pregnant Women in Preventing Postpartum Depression

Postpartum depression is a harmful depression risk; if not treated properly, it can have bad consequences for both mother and child. Hence, efforts are needed to prevent postpartum depression in pregnant women. This article aims to describe and find out the effect of self-help psychological intervention on the knowledge and attitudes of pregnant women in preventing postpartum depression. This article was quantitative research with a quasi-experimental model. The study population was 155 pregnant women in the Darussalam Public Health Center working area in Aceh Besar, 2021. The sample was 74 respondents, with 37 in the intervention group and 37 in the control group. Data was collected using The Knowledge about Postpartum Depression Questionnaire (KPPD-Q) and Attitudes Toward Postpartum questionnaires. This study found that the self-help psychological intervention significantly affects the knowledge and attitudes of pregnant women (p-value = 0.000 <0.05). Also, there were significant differences in knowledge and attitudes between the intervention. This study concluded that Self-help Psychological interventions could ascend pregnant women's knowledge and attitudes toward preventing postpartum depression. Respondents' age, education level, and gestational age are the driving factors for increasing knowledge and attitudes.

Avoiding Buffer Tank Overflow in an Iron Ore Dewatering System with Integrated Control System

High water usage is necessary while ore passes through the many stages of a mineral processing plant. However, a dewatering system filters the final ore pulp product to remove the water, which is reutilized in the previous processes. This step is fundamental to reducing the fresh new water consumption. Usually, several tanks, pumps, and filters form a dewatering system—any failure or shutdowns from those components disbalance the pulp flow. The waste of many tons of water and ore products for a tailing dam is the worst consequence of a mass disbalance in a dewatering system. This paper proposes an advanced regulatory control strategy composed of cascade and override loops for a dewatering system. The main purpose is to increase the production period, even under filter failure and changes in the inlet pulp characteristics. This control strategy is evaluated using a digital model of a large-scale Brazilian iron ore processing plant. Two scenarios are investigated: the simultaneous failure of two filters and disturbances in the flow and density of the thickener. The simulation results show that the proposed control strategy could extend the period of operation of the dewatering plant under failures in the disc filters and reject significant disturbances. For the considered simulation period, the proposed solution increases the time to overflow by 72% when compared to the previous control strategy. Thus, it is possible to avoid the waste of approximately 2448.36 tons of ore pulp that would be sent to the tailings dam.

A Commercialization of Healing Misfortune Treatment of Malay Community in Batubara District

Malay society in Batubara District used a ritual of Misfortune as a healing treatment for any kind of disease. Misfortune is a kind of cultural treatment for asking protection from God from Misfortune condition. This study was aimed to find out the latest additional role of Misfortune Ritual in Malay Society. Modernization and technology have endanger the role of Misfortune ritual as cultural value in the life regulation of Malay Society. The worst consequence is the elimination of the implementation of Misfortune Ritual in Malay Society of Batubara District. A qualitative descriptive research design was used to find the latest progress of this one of Malay faith under the implementation of the ritual. This study found that the Ritual Misfortune is not only having a function as healing treatment which used a spell and pray but also provide packaging medicine for commercial.

Evidence Based Reconstruction for Digital Forensics

Evidence based reconstruction may often be even more illuminating than other traditional evidence gathering strategies, but it is also extremely delicate and unpredictable due to the fact that evidence may not always be conclusive. The integrity of digital evidence is therefore extremely important, particularly when it comes from allegedly unlawful, illegitimate, or harmful activity. Regardless of the good or bad consequences of the acts and activities that created the evidence, the capture and reconstruction of events are critical to the operation of the digital world. Owing to the lack of skill and knowledge of digital forensics in Ghana, it creates a susceptible environment for criminals to continue their operations while avoiding prosecution due to a lack of evidence to prosecute them. The reconstruction of occurrences based on evidence is considered an eminent need for Africa and for that matter Ghana. Hence, the need for well-defined and advanced knowledge in evidence based reconstruction in digital forensics investigation to bridge the gap currently existing. This paper reviews literature on the concept of evidence based reconstruction as a means to advance knowledge on its relevance to the Africa region and Ghana for that matter. This would help forensics investigators to better understand the need for focus on using digital tools for reconstruction and focusing on evidence driven activities in case of crime and investigations. Finally, this paper presents an elaborated view from a literature point of view over the evidence based reconstruction and also helps other fellow colleagues in their quest to further understand the concept. Keywords: Evidence, Reconstruction, Digital evidence, Digital forensics, Investigation.

Impact of school closures due to COVID-19 on education in low- and middle-income countries

Coronavirus disease 2019 (COVID-19) has dismantled many long-established systems in society. Distance learning has rapidly replaced traditional classes at school. Keeping all other activities open, educational institutions were closed first to contain COVID-19 transmission when the number of cases started to rise, causing a massive adverse impact on education and students’ well-being. Students of lower socio-economic classes are dealing with the worst consequences as they are not able to afford the means of online schooling, especially in low- and middle-income countries like Bangladesh.

Information acquisition for service contract quotations made by repair shops

Component maintenance, repair and overhaul is often performed under long-term service agreements with service providers. After receiving a request for quotation, the provider can quote a price for the contract. When the contract is awarded, the profit depends on the quoted price. To gain such contracts and make profit, service providers have to make an accurate estimation of the value of the contract. Therefore, it is crucial to collect attributes from multiple sources that improve the knowledge about the specific contract. However, due to time and effort investment, it is preferred to collect this information in a smart and dynamic way, i.e., responsive to the available collected information. This paper introduces a model of optimal information acquisition for profit maximization that can be used for such situations. Moreover, we introduce a specific model refinement that can be used for quotation optimization. The model utilizes a function that includes the information attributes as variables and returns the profit. Each piece of information is modelled as an attribute for which the true value can be retrieved and the corresponding retrieval effort is translated in a cost. We introduce three heuristic policies with different levels of dynamism for the order and the number of information attributes to be retrieved. We find out that fixing the order in which attributes are retrieved decreases the expected profit by only 4%, while also fixing the number of attributes has much worse consequences.

Expanding the Duty to Rescue to Climate Migration

Expanding the Duty to Rescue to Climate Migration

Pengaruh Ketimpangan Pendapatan Suami Istri Terhadap Tingginya Kasus Cerai Gugat Di Pengadilan Agama Kelas 1B Kabupaten Ponorogo

Ponorogo is a city that has a high rate of divorce cases. From the divorce cases, the majority of submissions come from female workers who work as migrant workers, the implication is that the wife has a far greater income than her husband giving rise to a shift in the role of husband and wife which also results in a shift in rights and obligations. Although Islam allows a wife to work (in the context of helping her husband), it is expected that the husband and wife have considered together the good and bad consequences that may arise from the decision. Income gap or income inequality between husband and wife if not interpreted wisely can have an impact on the disharmony of the relationship between the two can even reach the stage of divorce. This research will explain an analyze the effect of income inequality between husbnad and wife on the high cases of divorce in Ponorogo. For that, researcher will examine this income inequality in the view of the sociology of Islamic law in the Ponorogo community in particular and driving factors the rise of female workers in Ponorogo and things that arise when the wife’s income is greater than her husband. The paradigm of this research is used a qualitative paradigm with emphasis on case studies in teh field. The result of the research stated that income inequality where the wife has a greater income than the husband is not a main problem in divorce cases, but there are other factors as a trigger such as the inability of the husband in managing finances, the wife’s takings is only for consumptive activities and even tends to spree, the interference from the husband’s family, especially in financial matters, lack of understanding of religion, and infidelity. This hiigh financial ability of the wife ultimately makes the wife dare to sue for divorce of her husband.

Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph

Recently, large volumes of false or unverified information (e.g., fake news and rumors) appear frequently in emerging social media, which are often discussed on a large scale and widely disseminated, causing bad consequences. Many studies on rumor detection indicate that the stance distribution of posts is closely related to the rumor veracity. However, these two tasks are generally considered separately or just using a shared encoder/layer via multitask learning, without exploring the more profound correlation between them. In particular, the performance of existing methods relies heavily on the quality of hand-crafted features and the quantity of labeled data, which is not conducive to early rumor detection and few-shot detection. In this article, we construct a hierarchical heterogeneous graph by associating posts containing the same high-frequency words to facilitate the feature cross-topic propagation and jointly formulate stance and rumor detection as multistage classification tasks. To realize the updating of node embeddings jointly driven by stance and rumor detection, we propose a multigraph neural network framework, which can more flexibly capture the attribute and structure information of the context. Experiments on real datasets collected from Twitter and Reddit show that our method outperforms state-of-the-art by a large margin on both stance and rumor detection. And the experimental results also show that our method has better interpretability and requires less labeled data.

Can Chest Computed Tomography Findings of Symptomatic COVID-19 Patients Upon Admission Indicate Disease Prognosis and Clinical Outcome?

This study aimed to investigate whether initial chest Computed Tomography (CT) findings of COVID-19 patients could predict clinical outcomes, prognoses, and mortality rates associated with the infection. Published studies on chest CT in COVID-19 infection do not go beyond describing the characteristics of the current period. Comparative analysis of chest CT findings upon hospital admission among patients with different clinical outcomes is scarce. We sought to retrospectively evaluate and compare clinical outcomes, prognoses, and mortality rates based upon the initial chest CT findings of 198 consecutive symptomatic patients with COVID-19 confirmed by Polymerase Chain Reaction (PCR). Patients (N = 198) were divided into three groups according to their clinical outcomes as follows: group 1 (n = 62) included patients discharged from the service, group 2 (n= 60) included patients hospitalized in the intensive care unit, and group 3 (n = 76) included patients who died despite treatment. Predictors of poor prognosis and mortality with regard to chest CT findings included mediastinal lymphadenopathy, pleural effusion, and pericardial effusion, and clinical characteristics of age, dyspnea, and hypertension. The halo sign on chest CT was a good prognosis predictor in multivariate analysis. Some CT findings, such as discharge, intensive care unit hospitalization, and death as the worst consequence, significantly correlated with endpoints. These findings support the role of CT imaging for potentially predicting clinical outcomes of patients with COVID-19.

Factors Influencing Millennial Generation Investment Decisions: Focus on Investment Behaviour

The Covid-19 pandemic has hit all corners of the world so far. The impact of Covid-19 is affecting the economy in various countries around the world. One of the reasons for the decline in the Indonesian economy is the decline in people's purchasing power, which in the end brings very bad consequences for the world economy, including Indonesia, especially when viewed from the side of tourism, trade and investment. During the pandemic, many people hold back their money to invest. Not infrequently the millennial generation is characterized as a generation that has consumptive behavior and tends to have poor financial management. However, in recent years the millennial generation has begun to realize the importance of managing short-term or long-term finances by saving or investing. The purpose of this study is to analyze and test the effect of Overconfidence Bias, Representative Bias, Regret Aversion, Mental Accounting, and Herd Behaviour on investment decisions in the millennial generation. The population in this study is the millennial generation with the characteristics of having invested. The method in this study used a survey method using a questionnaire. The sampling technique used was convenience sampling and got a sample of 145 respondents. The data was processed using SPSS 25. Testing using multiple linear regression equations. The value of Adj.R2 is 0.123, which means that these variables have an effect on investment decisions of 12.3%. The results showed that the Overconfidence Bias variable had a positive effect on investment decisions, while Representative Bias, Regret Aversion, Mental Accounting, and Herd Behaviour had no significant effect on investment decisions.

COVID Detection using Symptoms and X-Ray

Abstract: The irritation established by the Covid sickness has caused a lot of destruction all around the world. Extremely fast dispersal of Covid has gagged just as imperiled the human development. Different cycles of research have focused on the clinical inclination for the finding of Corona Virus illness. Detection of covid prior of becoming dangerous is important but with the growing numbers it becomes difficult to manage it. Antigen and PCR tests which is reverse Transcription Polymerase Chain Reaction (RT-PCR) strategies for looking at the sickness have assumed a tremendous part in deciding the illness since the lively rise of COVID-19. The transmission of different freaks created in these two years has put a few inquiries on the accuracy and precise consequence of the business as usual. Along these lines, different radiological techniques like Computed Tomography (CT sweep) and X-beam, and so forth are being executed for the spotting of sickness due to the more fastidious outcome. With less resources many people have to face bad consequences and because of this reason many people lost their lives there is an emergent requirement for a fast solution so that detection is faster hence faster treatment. The investigatory review in the given report is about the utilization of Artificial Intelligence in hypothesizing the Covid infection utilizing an appropriate model. The most extreme precision accomplished among man-made reasoning classifiers adjusted in the given report is almost all the way. Along with detecting chest infection using X-Rays an application is needed by the people across the world to get to know whether they have covid or not on the basis of symptoms, early stage covid detection could be done easily by studying the symptoms so a model is required to detect whether a person is infected or not based on the symptoms user will fill. Keywords: COVID-19, X-Ray, Classification, CNN, Logistic Regression, Symptoms.

PELATIHAN PARENTING SKILL PADA WALI SANTRI TPQ AL IKHLAS DI ERA DIGITAL DI DUSUN BANDUNG ROWO KEDUNG SOKO KEC.PLUMPANG

The Digital Age is a period that cannot be separated from the rapid increase in information technology. Islamic nature and character is very valuable as a channel and barrier for children at TPQ in managing information technology in today's digital era. This is what underlies the importance of Parenting Skill Training for TPQ Al Ikhlas Santri Guardians in the Digital Era, the Islamic Digital Parenting community movement program. This program demonstrates to introduce the computerized world to guardians, and teach them to have the option of getting ready. Young people are facing the rapid advancement of innovation by applying Islamic traits to children. This Business Program aims to provide skills to prepare and provide knowledge to guardians regarding correct Islamic parenting patterns for children in old age.
 Departing from this problem, then, at that time, what the guardians of santri needed to do to prevent and survive the bad consequences of the computerized world was to develop Digital Resilience in children. Advanced Resilience is its capacity to control the possible risks of an internet-based world by developing virtues in young people (Shotbolt, 2016, 2017). This work should be made possible by instilling great Islamic qualities and character in young people.

Association of bone-related biomarkers with femoral neck bone strength

BackgroundFemoral neck fractures are the worst consequence of osteoporosis (OP), and its early prevention and treatment have become a public health problem. This study aims to investigate the relationship of bone-related biomarkers, femoral neck bone mineral density (BMD) and maximum load (Lmax), selecting the indicator which can reflect femoral neck bone loss and reduced bone strength.MethodsA total of 108 patients were recruited from January 2017 to December 2019. Venous blood samples were collected from patients before total hip replacement, and femoral neck samples were collected during the surgery. Femoral neck BMD, femoral neck Lmax, bone-related markers (serum levels of bone turnover markers, protein expression of type I collagen (COL-I) and osteopontin (OPN) in femoral neck) were all measured and analyzed.ResultsThe expression of COL-I in femoral neck were significantly decreased, whereas other markers were all significantly increased with the decreasing of femoral neck BMD and Lmax (P < 0.05). Among them, serum C-terminal telopeptide of type I collagen (CTX) levels and OPN expression of femoral neck were increased in osteopenia. In multiple linear regression analysis, CTX and OPN were both negatively correlated with femoral neck BMD and Lmax, and they were independent factors of femoral neck BMD and Lmax, whereas COL-I was independent factor affecting Lmax (P < 0.05). Besides, CTX was negatively correlated with COL-I (β = -0.275, P = 0.012) and positively correlated with OPN (β = 0.295, P = 0.003).ConclusionsCompared with other indicators, serum CTX was more sensitive to differences in bone mass and bone strength of femoral neck, and could be considered as surrogate marker for OPN and COL-I.Early measurement of CTX could facilitate the diagnosis of osteopenia and provide a theoretical basis for delaying the occurrence of femoral neck OP and fragility fractures.

The resilience of the British and European goods industry: Challenge of Brexit

Abstract This is a study of the volume flexibility of the British and European goods industry, and its relative ability to cope with exogenous shocks, using the case of the Brexit process in a comparative context. It is located within the literature on comparative capitalism, and what it tells us in terms of how different institutional orders may be equipped to deal with such events. Using data for goods firms across 27 EU countries and the UK, we find that the UK goods industry has coped poorly with the shocks related to the Brexit process: its volume flexibility has declined. Brexit also has had an, albeit lesser, impact on the volume flexibility of their European firms counterparts. In particular, smaller firms in the EU coped better, a possible reflection of stronger institutional supports. However, firms that investing more in R&amp;D, provide training to improve management efficiency, and apply innovation to improve asset efficiency, seem to be coping better. This study illustrates how the withdrawal of Britain from supra-national European institutions seems to have accentuated any negative effects of domestic institutions on firms, and, indeed, has had even worse consequences than the 2008 economic crisis for the British goods industry. The latter would suggest it is ill equipped to cope with further shocks, such as the 2020 pandemic. We draw out the implications for theorizing, policy and future research.

The bad, the abnormal and the inadequate. A new institutionalist perspective for exploring environmental assessment's evolutionary direction

The published Environmental Assessment (EA) literature provides an account of the development of EA over five decades of evolving theory and practice, focussing particularly on how EA works and on how it could improve in the pursuit of (greater) effectiveness. This paper explores the idea that unintended bad, abnormal or inadequate consequences or effects may have occurred during EA's evolution, affecting the way in which it has evolved and the shape and direction of EA's evolutionary path. To assist in this exploration, three concepts are analysed: “mala-effectiveness”, “maladaptation” and “maladjustment”. The focus of the paper then shifts to exploring what might determine EA's evolutionary direction, and the role that unintended bad, abnormal or inadequate effects might play in shaping, constraining or adjusting EA's evolutionary path, loosely drawing on ideas from evolutionary thinking and from new institutionalist debates within planning theory. Building on the analysis of the three concepts and on new institutionalist perspectives, a conceptual framework is then proposed to explore EA's evolutionary direction, acknowledging the role of design and evolution dimensions.

A gendered UBI proposal for the new Chilean constitution (or why being a surfer is not the same as being a caregiver)

Chile has become the first country in the world where an equal number of men and women will draft the new Constitution due a parity law that was passed in March 2020. In addition, this historic opportunity will take place during one of the worst health pandemics in recorded history, COVID-19, which has revealed deep gender inequalities. The new Chilean Constitution, drafted with gender parity, will have a unique opportunity to grant a right to a universal basic income (UBI), which has been targeted to address some of the worst consequences of the pandemic: the increase in poverty, unemployment, and vulnerability of women. This article reviews the theories developed to justify a UBI and the feminist critics who argue that not all UBI is equally advantageous to women. The misconception that a ‘morally neutral’ model is sufficient and women-friendly disregards the way in which it encourages stereotypes that feminists have fought for centuries. We argue for the development of public policies with a gender focus, especially the right to a ‘gendered UBI’. This means a UBI that meets two basic requirements: first, that every citizen or resident be guaranteed the same amount of income from birth; second, that caregivers be provided with management rights to turn the UBI into a compensatory income that can also promote changes in gender roles, encouraging men to become caregivers.

EFFECTS OF EXTRACELLULAR VESICLES ISOLATED FROM SUBVENTRICULAR ZONE ON MOLECULAR CHANGES FOLLOWING SPINAL CORD INJURY ON WISTAR RATS

Spinal cord injury (SCI) may occur as a result of traumatic crash to the spine that dislocates one or many vertebrae. SCI has two events to bring about the injury in the spinal cord that result at the end it will lead to bad consequences and loss of neurons; SCI complications are general loss of motor and sensory function. Extracellular vesicles (EVs) are very small vesicles produced by cells that contribute to cell to cell communication, transferring bioactive lipids, proteins, RNA. The aim of this research is to determine the effect of EVs on inflammasomes complex after SCI on rats. EVs were harvested characterized and cultured as exosomes, the animals are divided to 5 groups: control, sham, vehicle, SCI + treatment, SCI + EVs group. Spinal cord injury was induced using weight compression. 10 μl of EVs were injected intrathecally into lumber cistern in a space between L4-L5 laminae slowly. Gene expression of Caspase-1, ASC and NLRP3 were determined by RT-PCR. Western blot for determining the protein content of the inflammasomes were carried out. SCI up regulated the level of inflammasome complex both mRNA and proteins. Inthrathecal injection of EVs down regulated the inflammasome complex and make neuronal recovery. SCI can up regulate the level of inflammasome complex both mRNA and proteins. EVs are good therapeutic agent for SCI and increase neuronal recovery, inthrathecal injection is the best method of injection MSCs for treatment of SCI.

NUMERICAL INVESTIGATION OF ABOVE-SEA GAS DISPERSION AND EXPECTED EXPLOSION OVERPRESSURE ON THE OFFSHORE PLATFORM UNDER VARYING SEA AND WEATHER CONDITIONS

Above sea gas dispersion resulting from subsea release could cause explosion risk to a nearby offshore platform. Past researchers performed a CFD-based assessment of above sea gas dispersion under the varying sea and environment conditions, but the resulting expected overpressure consequences due to the potential ignition of dispersing flammable on an offshore platform under such varying conditions were not investigated. Overpressure estimates under varying sea and weather parameters could support the practitioners in determining the most critical conditions that correspond to the worst consequences on the offshore platform thus, the research could contribute to process safety. Therefore, in this study, above sea gas dispersion under varying wind speeds in range 2-6 m/s and sea surface release rates of 390 kg/s and 872 kg/s were performed using a Fire Dynamics Simulator (FDS), and expected overpressure consequences in each case are estimated based on the flammable concentration distribution on the platform. It was found that low wind speed and less release rate do not pose a danger to the platform. However, compared to the low wind-low release rate, 35% greater platform area was covered by flammable gas cloud at a high wind speed of 6 m/s and a high release rate of 872 kg/s. This could cause overpressure of 70 kPa in 7.5% of the platform region, which is identified as the most dangerous release rate and wind speed condition. It is suggested that the operators on the offshore platform take special care in high wind and release rate scenarios to avoid flammable cloud accumulation and resulting overpressure consequences.&#x0D; Keywords: CFD modelling, FDS, offshore platform, above-sea gas dispersion, flammable concentration, overpressure

The Routes and forms of Narrating Political Events in Mardin Ibrahim’s Novels

This research is entitled (The Routes and forms of Narrating Political Events in Mardin Ibrahim’s Novels). The aim of this research is to discuss the narration techniques, alongside this, the political events bad consequences on the nations’ destiny is highlighted, especially those nations referred to in the novels of our framework. In this research, it is attempted to accurately clarify the narration time trends like rising route, falling route and twisting route, as well as clarifying the narration forms of the political events, like amalgamating and blending form, turn taking form and circular form. According to this research, it is realized that Mardin Ibrahim’s novels have strong and effective construction with reference to the events levels and their narrations. One of the findings of this research is that the falling route is generally used more than the other routes, and amalgamating and blending form is more broadly used than the other forms to enrich the novels.