Coke to drop controversial ingredient entirely

Washington D.C., May 5: Working from home has become the new normal ever since the outbreak of coronavirus and in today's time the work duties can be easily dealt with by means of mobile devices at home.

However, this easy use of technology, mobile devices for that matter, has the potential to blur the fine line between work and the other daily life routines.

But, contrary to the belief, a study at the University of Jyvaskyla reveals that the mixing of work and other daily life routines may have more benefits than previously assumed, and points to the importance of boundary-spanning communication.

A smartphone enables phone calls, email, and file transfers from the comfort of home. The study shows that there may be more effective ways to maximise the benefits of smartphone use, without diminishing employees' flexibility and the use of these technologies.

"People often forget to talk about positive effects, such as autonomy and freedom the employees gain when they have the flexibility to schedule their work," said Postdoctoral Researcher Ward van Zoonen from JYU, who with his colleagues examined the use of smartphones for work matters outside working hours.

The study paid special attention to the benefits of talking about domestic matters with the immediate supervisor outside the working hours given to an employee.

"This reduces the conflict between work and other life," van Zoonen said.

"If people in an organisation strive for more dialogue between employees' different life domains, it is possible to create a functional environment where people can talk about different matters."

The research findings show that when employees communicate across boundaries and talk at work about their life in other respects, they can receive new kinds of support and understanding from their immediate supervisor.

"This kind of communication creates a low threshold for contacting one's supervisor, which helps employees build a balance between the different domains of their lives and strengthens their organisational identification," said Professor Anu Sivunen describing the findings.

This means that tight working time restrictions to protect employees might not be beneficial after all, if they hinder reaching the positive results indicated in this research.

For the study, a survey was taken of 367 employees who were asked questions such as -- how much they talk about their work with their family, and how much they talk about their family with their immediate supervisor.

"Both supervisors and their employees answered the surveys, and the study actually focused on their mutual communication," Sivunen said.

"Usually people at workplaces are interested in how communication within the work community is succeeding. It is often forgotten how an immediate supervisor can take an employer's other life into account and thereby help the employee gain work-related benefits."

"Communication with one's immediate supervisor during flexible working hours, also on matters other than work, could ease the daily lives of many employees if they could share the possible challenges of their family life or free time with their supervisor in these settings," Sivunen added.

According to the study, such a practice could make the supervisor aware of the employee's situation as he/she works from home and the related impacts on their work performances.

Washington D.C., Jan 25: A new study conducted by a team of researchers reveals why individuals who have a history of early life adversity (ELA) are disproportionately prone to opioid addiction.

The study conducted examined how early adversities interact with factors such as increased access to opioids to directly influence brain development and function, causing a higher potential for opioid addiction.

The study was lead by UCI researchers and was published in Molecular Psychiatry.

Tallie Z. Baram, MD, PhD, the Danette Shepard Chair in Neurological Sciences at the UCI School of Medicine and one of the senior researchers for the study, was on the take that the widely known factor genetics that plays major role in addiction vulnerability, cannot be solely held responsible for the recent rise in opioid abuse.

To further clarify, the researchers simulated ELA in rats by limiting bedding and nesting materials during a short, postnatal period of time.

In female rats, this led to striking opioid addiction-like characteristics including an increased relapse- behaviour, for example.

As observed in addicted humans, the rats were willing to work very hard (pay a very high price) to obtain the drug.

Baram said: "Ultimately, we found that conditions during sensitive developmental periods can lead to vulnerability to the addictive effects of opioid drugs, especially in females, which is consistent with the prevalence of ELA in heroin-addicted women."

These findings can be used to highlight the importance given to sex differences in future ELA-related studies on opioid addiction, and in future prevention or intervention strategies being developed to address the growing opioid crisis.

The study conducted examined how early adversities interact with factors such as increased access to opioids to directly influence brain development and function, causing a higher potential for opioid addiction.

The study was lead by UCI researchers and was published in Molecular Psychiatry.

The study found that unpredictable, fragmented early life environments may lead to abnormal maturation of certain brain circuits, which profoundly impacts brain function and persists into adolescence and adulthood.

Tallie Z. Baram, MD, PhD, the Danette Shepard Chair in Neurological Sciences at the UCI School of Medicine and one of the senior researchers for the study, was on the take that the widely known factor genetics that plays major role in addiction vulnerability, cannot be solely held responsible for the recent rise in opioid abuse.

To further clarify, the researchers implanted ELA in rats by limiting bedding and nesting materials during a short, postnatal period of time.

In female rats, this led to striking opioid addiction-like characteristics including an increased relapse- behaviour, for example.

As observed in addicted humans, the rats were willing to work very hard (pay a very high price) to obtain the drug.

Baram said: "Ultimately, we found that conditions during sensitive developmental periods can lead to vulnerability to the addictive effects of opioid drugs, especially in females, which is consistent with the prevalence of ELA in heroin-addicted women."

These findings can be used to highlight the importance given to sex differences in future ELA-related studies on opioid addiction, and in future prevention or intervention strategies being developed to address the growing opioid crisis.

New York, Feb 26:  A new wearable sensor that works in conjunction with artificial intelligence (AI) technology could help doctors remotely detect critical changes in heart failure patients days before a health crisis occurs, says a study.

The researchers said the system could eventually help avert up to one in three heart failure readmissions in the weeks following initial discharge from the hospital and help patients sustain a better quality of life.

"This study shows that we can accurately predict the likelihood of hospitalisation for heart failure deterioration well before doctors and patients know that something is wrong," says the study's lead author Josef Stehlik from University of Utah in the US.

"Being able to readily detect changes in the heart sufficiently early will allow physicians to initiate prompt interventions that could prevent rehospitalisation and stave off worsening heart failure," Stehlik added.

According to the researchers, even if patients survive, they have poor functional capacity, poor exercise tolerance and low quality of life after hospitalisations.

"This patch, this new diagnostic tool, could potentially help us prevent hospitalizations and decline in patient status," Stehlik said.

For the findings, published in the journal Circulation: Heart Failure, the researchers followed 100 heart failure patients, average age 68, who were diagnosed and treated at four veterans administration (VA) hospitals in Utah, Texas, California, and Florida.

After discharge, participants wore an adhesive sensor patch on their chests 24 hours a day for up to three months.

The sensor monitored continuous electrocardiogram (ECG) and motion of each subject.

This information was transmitted from the sensor via Bluetooth to a smartphone and then passed on to an analytics platform, developed by PhysIQ, on a secure server, which derived heart rate, heart rhythm, respiratory rate, walking, sleep, body posture and other normal activities.

Using artificial intelligence, the analytics established a normal baseline for each patient. When the data deviated from normal, the platform generated an indication that the patient's heart failure was getting worse.

Overall, the system accurately predicted the impending need for hospitalization more than 80 per cent of the time.

On average, this prediction occurred 10.4 days before a readmission took place (median 6.5 days), the study said.