Worst Part Research Articles

Are surgeons the worst part of surgery?

Are surgeons the worst part of surgery?

A Response to McMahan

In ‘Anti-Natalism and the Asymmetry’ I argue that the claim, starting good lives is permitted but not required, ultimately proves untenable. The inevitable bad parts of a life give reasons against starting, but the good parts give no reasons for. So don’t start, and if started, end. Jeff McMahan thinks this good/bad asymmetry is way too radical, and finds much to fault with my argument. Unsurprisingly I agree with some but not all of what he has to say. We agree, for example, that the concerns of persons to live on generally far outstrip those of babies and animals. We disagree about there being always some reason to start good lives.

Changes in appearance during the spoilage process of fruits and vegetables: Implications for consumer use and disposal

People waste a lot of food, especially at the consumption stage in consumer households. Despite the urgency of this topic, little is known about how consumers use visual inspection to decide to throw away fruits and vegetables at different stages of ripening and spoilage. We presented 366 US consumers with images of a banana, mango, cucumber, and avocado in 5 stages of decay in an online study and we determined how signs of decay affected participants’ consumption, preparation and disposal behaviors. As expected, product attractiveness, freshness, healthiness, and nutritiousness decreased, while the degree of decay, overripeness, and disgust increased over time. The number of people willing to consume the product was linearly related to the perceived proportion of the product affected by decay, while the number of people wanting to cut off bad parts was highest when about 40% of the product was judged to be affected. As time went on, the banana was cooked and mashed more often, while the cucumber was peeled more often. As growing, ripening and decay differ considerably between agricultural products, it is important to take sensory and preparation differences into account when investigating consumption and disposal behaviors.

Exploring grandparents' psychosocial responses to childhood cancer: A qualitative study.

A childhood cancer diagnosis is a traumatic experience for patients and their families. However, little is known about the effect on grandparents. We aimed to investigate the negative psychosocial impact, coping strategies, and positive outcomes of grandparents of childhood cancer patients in Switzerland. We collected data using a semi-structured interview guide and applied qualitative content analysis. We conducted 20 interviews with 23 grandparents (57% female; mean age=66.9years; SD=6.4; range=57.0-82.4) of 13 affected children (69% female; mean age=7.5years; SD=6.1; range=1.0-18.9) between January 2022 and April 2023. The mean time since diagnosis was 1.0years (SD=0.5; range=0.4-1.9). Grandparents were in shock and experienced strong feelings of fear and helplessness. They were particularly afraid of a relapse or late effects. The worst part for most was seeing their grandchild suffer. Many stated that their fear was always present which could lead to tension and sleep problems. To cope with these negative experiences, the grandparents used internal and external strategies, such as accepting the illness or talking to their spouse and friends. Some grandparents also reported positive outcomes, such as getting emotionally closer to family members and appreciating things that had previously been taken for granted. Grandparents suffer greatly when their grandchild is diagnosed with cancer. Encouragingly, most grandparents also reported coping strategies and positive outcomes despite the challenges. Promoting coping strategies and providing appropriate resources could reduce the psychological burden of grandparents and strengthen the whole family system.

Pain of ODs leads drug policy veteran to endorse OPCs

I started working on drug policy in 2007 and it has been the most meaningful work I have ever done. The best part of the work has been witnessing so many people find their way to better health. The worst part is the pain that I feel when my friends lose their lives to overdose. I know their families and there is little I can do to ease a pain that will forever be a part of their lives, and that pains me as well.

You Don’t Want a Book Challenge, Do You?

This article includes a compilation of three personal stories from the author’s time as an elementary librarian at a K-12 private school in Atlanta, Georgia. While struggling with classroom management during her first year as a school librarian, she was surprised by anatomical language in a read-aloud that she had forgotten about after pre-reading the book. She had a split second to decide whether to read what was actually written. During her second year, she went through my library’s reconsideration process when a parent challenged a book of scary stories. The worst part? She had used that book in a lesson with the entire third grade. And finally, throughout her time with this school, she fought for a book that was not being officially challenged, but voluntarily censored by her colleague. The author shares these stories with honesty about how sh handled each situation, and with a little advice added.

Naiwrit Karmodak.

"My long-term goal is to share my knowledge and scientific findings with ordinary people, especially high school students… What I appreciate most about my friends is their honest criticism. A good critic will inform us of both the good and bad parts…" Find out more about Naiwrit Karmodak in his Introducing… Profile.

No Bad Parts: Healing trauma and restoring wholeness with the internal family systems model By R. C.Schwartz, Boulder, CO: Sounds True. 2021. pp. 199.

No Bad Parts: Healing trauma and restoring wholeness with the internal family systems model By R. C.Schwartz, Boulder, CO: Sounds True. 2021. pp. 199.

Effects of e-portfolios on developing professional awareness for cardiac nurses

Abstract Introduction Professional electronic portfolios are becoming increasingly popular among nurses as a means of documenting their lifelong learning and self-reflection, as well as proving that they have fulfilled all of their licensure and certification criteria. An e-Portfolio can help nurses keep track of their renewal and registration paperwork in one location so that they can be updated and used in performance assessments and job applications. All nurses are obliged to participate in continuing professional development activities in order to maintain, update, and to improve their knowledge and practice. In addition, e-Portfolios allow nurses to assess their strengths and weaknesses. Also, establishing an e-Portfolio can help nurses develop a learning strategy to meet those needs. Aim To assess the nurses' feedback after developing their professional e-Portfolio. Process As part of their professional development, nurses at the Aswan Heart Centre were required to compile their professional development records. Even the most recent curriculum vitae (CV) was difficult for most nurses to locate.Using Google sites as the e-platform, the nursing education department established a method for generating the e-Portfolio in a systematic manner. The e-Portfolio contained all of the following dataset (Biography—CV—Nursing, leadership, or teaching philosophy—Teaching Perspective Inventory Result—Learning Style Result—Personality Type—Conflict Style—Strength, Weaknesses, Opportunities, and Threats (SWOT) Analysis—Learning Action Plan—Professional Certificates—Research Activities).A brief guide was developed to assist nurses in developing the e-Portfolio to the same criteria. In addition, short courses were designed to assist them in creating a SWOT analysis and learning action plan. Survey Result There were 130 nurses who joined the process, and 70 nurses filled out the survey. What was the best part of creating your e-Portfolio?The majority of the staff members responded that they do collect their professional development records.What was the worst part of creating your e-Portfolio?The staff's biggest challenge during the platform’s development was time. Data Analysis Participants responded that use of the e-portfolio was a way to keep track of their own professional growth and gain a better understanding of who they are as well as help develop their professional identity as lifelong learners by approximately 70%.According to the responses from the participants, using the e-portfolio was a technique to boost their level of creativity as well as their level of proficiency with computer skills by around 65%. Recommendations Building and maintaining an e-Portfolio can also provide nurses with the ability to assess their skills and determine areas in which they require additional training, as well as to create a lifelong learning plan to meet these needs. Additional Content An author video to accompany this abstract is available on https://academic.oup.com/eurheartjsupp. Please click on the arrow next to ‘More Content’ and then click on ‘Author videos’.

Constructing process maps for pulsed wave laser additive manufacturing with interpretable machine learning

Oxide dispersion strengthened (ODS) steels have found increasing applications in advanced fission and fusion reactors due to their excellent strength and resistance to radiation damage. The traditional powder metallurgy (PM) methods for fabricating ODS steels are costly and time-consuming. To address these limitations, attempts have been made to fabricate ODS steels with emerging additive manufacturing (AM) technology, such as laser powder bed fusion (L-PBF). However, up to now, the AM-fabricated ODS steels have not been able to match the quality of those from the conventional PM processes. In this work, we explore pulsed wave (PW) laser AM, as opposed to the conventional single mode continuous wave (CW) laser AM, for ODS steel fabrication. In particular, based on available experimental data of PW laser fabricated ODS steel parts, we construct a two-dimensional (2D) process map using two PW features (engineered using operating parameters) to define and visualize the parameter space that is directly linked to the quality assessment of the parts. Additional process maps are constructed to quantitatively model the density and nano-hardness of the parts. These process maps are constructed through rational feature engineering, supervised feature selection, and interpretable machine learning techniques. The constructed process maps for quality classification, density and nano-hardness regression analyses are validated by experiments. The process maps help us further understand the physical phenomena that produce good or bad quality parts.

The performance of the euro area banking system: the pandemic in perspective

AbstractThis research explores the performance of the euro area banking system between 2002:Q3 and 2021:Q1 using banks’ return on assets as a gauge. It finds that despite the Covid-19 pandemic, the banking sector’s performance has not been negatively affected in a statistically significant way. In addition, it shows that while the global financial crisis and the sovereign crisis both introduced significant uncertainty in the performance of the banking system in the euro area, such uncertainty has not been replicated during the worst part of the Covid-19 pandemic. From a purely technical viewpoint, uncertainty in the banking system’s performance in the euro area highlights the relevance of using methodological approaches that control for the endogeneity of most bank-specific determinants of return on assets and that are robust to changes in unconditional variance due to regime changes, to future random shocks or both.

DSM-5 criterion-a-based trauma types in service members and veterans seeking treatment for posttraumatic stress disorder.

In posttraumatic stress disorder (PTSD), the assumption of the equipotentiality of traumas ignores potentially unique contexts and consequences of different traumas. Accordingly, Stein et al. (2012) developed a reliable typing scheme in which assessors categorized descriptions of traumatic events into six "types": life threat to self (LTS), life threat to other, aftermath of violence (AV), traumatic loss, moral injury by self (MIS), and moral injury by other (MIO). We extended this research by validating the typing scheme using participant endorsements of type, rather than assesor-based types. We examined the concordance of participant and assesor types, frequency, and validity of participant-based trauma types by examining associations with baseline mental and behavioral health problems. Interviewers enrolled military personnel and veterans (N = 1,443) in clinical trials of PTSD and helped them select the most currently distressing Criterion-A trauma. Participants and, archivally, assessors typed the distressing aspect(s) of this experience. AV was the most frequently participant-endorsed type, but LTS was the most frequently rated worst part of an event. Although participants endorsed MIS and MIO the least frequently, these were associated with worse mental and behavioral health problems. The agreement between participants and assessors regarding the worst part of the event was poor. Because of discrepancies between participant and assessor typologies, clinical researchers should use participants' ratings, and these should trump assessor judgment. Differences in pretreatment behavioral and mental health problems across some participant-endorsed trauma types partially support the validity of the participant ratings. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Combining AI and AM – Improving approximate matching through transformer networks

Approximate matching is a well-known concept in digital forensics to determine the similarity between digital artifacts. An important use case of approximate matching is the reliable and efficient detection of case-relevant data structures on a blacklist (e.g., malware or corporate secrets), if only fragments of the original are available. For instance, if only a cluster of indexed malware is still present during the digital forensic investigation, the approximate matching algorithm shall be able to assign the fragment to the blacklisted malware. However, traditional approximate matching functions like TLSH and ssdeep fail to detect files based on their fragments if the presented piece is relatively small compared to the overall file size (e.g., like one-third of the total file). A second well-known issue with traditional approximate matching algorithms is the lack of scaling due to the ever-increasing lookup databases. In this paper, we propose an improved matching algorithm based on transformer-based models from the field of natural language processing. We call our approach Deep Learning Approximate Matching (DLAM). As a concept from artificial intelligence, DLAM gets knowledge of characteristic blacklisted patterns during its training phase. Then DLAM is able to detect the patterns in a typically much larger file, that is DLAM focuses on the use case of fragment detection. Our evaluation is inspired by two widespread blacklist use cases: the detection of malware (e.g., in JavaScript) and corporate secrets (e.g., pdf or office documents). We reveal that DLAM has three key advantages compared to the prominent conventional approaches TLSH and ssdeep. First, it makes the tedious extraction of known to be bad parts obsolete, which is necessary until now before any search for them with approximate matching algorithms. This allows efficient classification of files on a much larger scale, which is important due to exponentially increasing data to be investigated. Second, depending on the use case, DLAM achieves a similar (in case of mrsh-cf and mrsh-v2) or even significantly higher accuracy (in case of ssdeep and TLSH) in recovering fragments of blacklisted files. For instance, in the case of JavaScript files, our assessment shows that DLAM provides an accuracy of 93% on our test corpus, while TLSH and ssdeep show a classification accuracy of only 50%. Third, we show that DLAM enables the detection of file correlations in the output of TLSH and ssdeep even for fragment sizes, where the respective matching function of TLSH and ssdeep fails.

Patient's experiences of dental implants, peri-implantitis and its treatment-A qualitative interview study.

The aim of the present study was to explore peri-implantitis patients' sensations, expectations, and experiences of dental implants, the disease, as well as undergoing treatment with laser or mucosal flap surgery. Interviews were conducted with 18 patients who had been referred for treatment of peri-implantitis at a specialist clinic. The participants underwent either laser treatment or mucosal flap surgery of affected implants. Qualitative content analysis was used for processing the transcribed interviews with coding in categories and subcategories. The analysis of the interviews was presented in a narrative way to display the variety of experiences in this patient group. Losing teeth was perceived as frustrating and negatively impacted their quality of life; however, receiving dental implants improved some aspects of the patients' lives. While some have symptoms, others did not seem to notice the incidence and development of peri-implantitis. Local anaesthesia was the worst part of both treatments and both modalities yielded only minor discomforts. There were a variety of positive and negative sensations and experiences perceived by patients with dental implants as a consequence of peri-implantitis, including a negative impact on quality of life. These findings emphasize the importance of thoroughly informing the potential and established dental implant patients of the risk of developing disease and its impact. The treatment of peri-implantitis created in general only slight discomfort for the patient.

Eigenvalue problems for p-div-curl systems

We consider eigenvalue problems for a general p-div-curl system. In particular, we consider a nonlinear eigenvalue problem similar to the standard Dirichlet eigenvalue problem for the p-Laplacian, but due to the presence of the curl, we see that eigenfunctions of the general p-div-curl operator do not enjoy nice regularity as in the p-Laplacian case. We first show that weak solutions of a particular nonlinear p-div-curl eigenvalue problem split into a good and bad part, where the good part is not even divergence free. We then show that the general p-div-curl system admits a Ljusternik-Schnirelman sequence of eigenvalues. Finally, we show a general chain rule for the curl and divergence.

Penilaian Postur Tubuh Pekerja Dan Perbaikan Sistem Kerja Dengan Metode Rula Dan Reba Pada Pt. Sharp Electronics Indonesia

In the current industrial age, Indonesia is making great progress every year. Especially in the development of business competition for goods and services, businessmen compete with each other to dominate the market share on which they are focused.One of the inseparable factors of industry is human resources. It is very important to maintain the quality of human resources in order to continue the production process. So ergonomics is important to keep people healthier, safer, more comfortable and avoid bad parts (bad). PT Sharp Electronics Indonesia is one of the electronic companies of Sharp Corporation engaged in the assembly of electronic products. One of the manufactured products is a refrigerator. There are some quality issues in the production process. This means that defects are often still found on the assembly line. This adds to the cost of poor quality because if a defect occurs, the part must be reworked or the part scrapped. One of the causes is improper posture, which can have a big impact on the operator's body later on. A proposed solution to this problem is to use the RULA and REBA methods to find the worker's posture rating and correct it if the posture is bad.

Assessing Toughness Levels for Nuclear Containment Vessels Steel to Determine the Need for Postweld Heat Treatment Based on the Master Curve Method

AbstractIn this paper, a minimum toughness assessment method of exempting postweld heat treatment (PWHT) based on the master curve method is proposed to replace the current method of determining whether to perform PWHT by material thickness. Reference temperature to prevent fracture (T0-required) for structure to be exempt from PWHT at minimum design metal temperature (MDMT) was obtained by using the master curve method under presumed stresses and flaw size. A series of exemption curves were generated for the steels used in pressure vessels with yield strength of 300∼550 MPa, and the method was corrected for low-stress conditions. Then the feasibility of this method was verified by an engineering example. A SA-738Gr.B welded joint in the example was taken as the research object, the experiment showed that the weld metal was the worst part of the fracture toughness of the joint. The results of research objects which were exempted from PWHT by the proposed method are consistent with ASME Code Case N-841, which proves that this method is feasible in assessing the exemption from PWHT.

Doctor, can I see your face? The effect of COVID19 face mask wearing on interactions between physicians and the older-hard-of-hearing population; a case report, and review of best practices

Since the start of the COVID19 pandemic three years ago, face masks have been promoted as the single most effective preventive measure against the COVID19 virus. Face mask wearing is ubiquitous in public places, and mandatory for patients and physicians in the hospital setting. During the worst part of the pandemic most patient-physician encounters where physician and patient wore a mask occurred in the hospital setting, as most outpatient encounters moved online, eliminating the need for patients and physicians to wear face masks. However, as the pandemic gets under control, it is reasonable to expect that an increasing number of online patient-physician encounters will shift back to in-person, thereby increasing the total number of patient-physician encounters where both patient and physician must wear face masks. In general, but particularly in the older-hard-of-hearing population, wearing face masks makes patient-physician interactions more difficult, as it eliminates the benefit of facial expression which the older-hard-of-hearing population use to compensate for their hearing loss. Given that the older-hard-of hearing population and physicians will continue to wear face masks in the foreseeable future, it is imperative for physicians to learn and employ best practices in these situations to optimize patient care. This presentation illustrates the care of a hard-of hearing-older woman in a geriatric hospital and reviews the literature on best practices in such situations.

IoT-Based System for Automated Accident Detection and Rescue

One of the most common causes of death is auto accidents. The worst thing that may happen to a road user is a traffic accident, despite the fact that they happen regularly. The worst part is that we fail to learn from our on-the-road errors. Most people who use roads regularly are extremely familiar with the fundamental guidelines and safety procedures that should be followed, but it is only their own negligence that results in accidents and wrecks. Accidents and crashes are primarily caused by human error. Here are some examples of normal human actions that result in accidents. 1. Driving too fast; 2. Driving while intoxicated; 3. Distracting the driver; 4. Running red lights; 5. Avoid utilizing safety equipment, such as seatbelts and helmets; 6. Driving erratically and overtaking improperly in order to save lives in a traffic collision, we’re going to construct an Arduino-based car accident alert system that combines GPS, GSM, and an accelerometer. If the accelerometer detects an abrupt shift in the vehicle’s axis, the GSM module alerts you and communicates the location of the accident to your cell phone. The GPS module’s latitude and longitude are utilized to pinpoint the accident’s location, which is provided as a Google Map link. The message also contains the vehicle’s speed in knots.

THE WORLD’S BIGGEST CALAMITY: CLIMATE CHANGE OR WARS

Climate change is the biggest global threat which has the potential to directly affect the planetary life. Its damages are beyond imagination and are not irrecoverable. The hazardous effects of climate change are exacerbating day-after-day but the worst part is that developed nations have not yet ascertained the gravity of the situation and have virtually turned deaf ears to the recommendations of international environmental protection agencies and repeated warnings of environmental scientists. Considering such an attitude, one may foresee that those days are not far ahead when the world may witness any chaotic situation or major environmental disaster. These disasters may have magnanimous impact on the future of mankind and are not akin to war which usually happens on contemporary issues and only on regional basis. War may be discussed as disastrous but it could not be so disastrous when compared with any climatic disaster. Although, the world appears to be unanimous to bring about peace and security across the globe and not to engage in any war yet sudden climatic changes may change the whole scenario and turn the planet to the position where war on any environmental issue becomes indispensable. In order to minimize the perilous effects of climate change, concerted efforts at global level are extremely necessary. The article focuses on the issue that climate change is more dangerous as compared to wars for the reason that existence and continuity of life on the planet earth is more important than any other issue for the mankind.