Daily Reports Research Articles

Geographical Distribution of COVID-19 Infection Across Saudi Arabia

Saudi Arabia, a large country in terms of population size and geographical area, administrative areas, and governorates, has metropolises, cities (large, medium-sized, and small), towns, and rural neighborhoods. COVID-19 epidemic of the millennium spread all over the country with differentials regarding infection (rates, percentages, and affected areas), besides day-to-day increases. This analysis of data compiled from COVID-19 daily reports published by the Saudi Ministry of Health considers administrative areas and localities (neighborhoods) to demonstrate the distribution of spread, increase of infection, and proportion of population infected over a period between 21 March 2020 and 4 May 2023. Many of the infected cases were reported in three major administrative areas, i.e., Riyadh, Makkah, and the Eastern Region; other regions had a smaller number of infected cases. On the other hand, some locations, especially medium-sized upcoming towns, and neighborhoods, had a greater number of persons seriously affected at a rapid pace with seasonal differentials. In addition, a varying number of infections and a wider geographical spread were observed. Such details of COVID-19 infection would be useful not only to develop combating strategies but also to create epidemic and emergency preparedness.

Geographical Distribution of COVID-19 Infection Across Saudi Arabia

Saudi Arabia, a large country in terms of population size and geographical area, administrative areas, and governorates, has metropolises, cities (large, medium-sized, and small), towns, and rural neighborhoods. COVID-19 epidemic of the millennium spread all over the country with differentials regarding infection (rates, percentages, and affected areas), besides day-to-day increases. This analysis of data compiled from COVID-19 daily reports published by the Saudi Ministry of Health considers administrative areas and localities (neighborhoods) to demonstrate the distribution of spread, increase of infection, and proportion of population infected over a period between 21 March 2020 and 4 May 2023. Many of the infected cases were reported in three major administrative areas, i.e., Riyadh, Makkah, and the Eastern Region; other regions had a smaller number of infected cases. On the other hand, some locations, especially medium-sized upcoming towns, and neighborhoods, had a greater number of persons seriously affected at a rapid pace with seasonal differentials. In addition, a varying number of infections and a wider geographical spread were observed. Such details of COVID-19 infection would be useful not only to develop combating strategies but also to create epidemic and emergency preparedness.

Geographical Distribution of COVID-19 Infection Across Saudi Arabia

Saudi Arabia, a large country in terms of population size and geographical area, administrative areas, and governorates, has metropolises, cities (large, medium-sized, and small), towns, and rural neighborhoods. COVID-19 epidemic of the millennium spread all over the country with differentials regarding infection (rates, percentages, and affected areas), besides day-to-day increases. This analysis of data compiled from COVID-19 daily reports published by the Saudi Ministry of Health considers administrative areas and localities (neighborhoods) to demonstrate the distribution of spread, increase of infection, and proportion of population infected over a period between 21 March 2020 and 4 May 2023. Many of the infected cases were reported in three major administrative areas, i.e., Riyadh, Makkah, and the Eastern Region; other regions had a smaller number of infected cases. On the other hand, some locations, especially medium-sized upcoming towns, and neighborhoods, had a greater number of persons seriously affected at a rapid pace with seasonal differentials. In addition, a varying number of infections and a wider geographical spread were observed. Such details of COVID-19 infection would be useful not only to develop combating strategies but also to create epidemic and emergency preparedness..

A Corpus-based Comparison of Lexical Features in English News: China Daily and CNNs Reports about Russia-Ukraine Conflict as Examples

The news plays a crucial role in disseminating information to the public. The use and preferences of vocabulary in news articles reflect the language proficiency, attitudes, and positions of news writers. Therefore, this study examines the differences in vocabulary characteristics between China Daily, a Chinese news organization, and CNN, a US news organization, in their news writing on the Russia-Ukraine conflict. Through corpus-based research methods, the study aims to explore the differences in lexical features and provide insights for journalists and English writing learners in terms of vocabulary selection and comprehension when writing and reading English news about the Russia-Ukraine conflict and related war and conflict events.

Систематизация статистических данных о ликвидации пожаров и чрезвычайных ситуаций, возникающих в период специальной военной операции

Purpose. The article provides systematic data on the situation with fires in the Donetsk People's Republic occurring after air and missile strikes of the armed forces of Ukraine and for other reasons in 2022 and in the first half of 2023. The main objectives of the study are as follows: systematization of daily digital indicators of hazardous events during a special military operation in Ukraine and identification of the main types and scale of fires to which fire and rescue units respond during military conflicts. The relevance of the study is accounted for the lack of systematic data on the practice of actual solving modern civil defense problems. Methods. In addition to general scientific methods of analysis and synthesis, the author used empirical methods of describing and comparing texts of the daily operational reports of EMERCOM of DPR on the composition and content of events, their digital indicators related to the real chronology of the military conflict events. Findings. The article assesses the number of fires caused by enemy ammunition strikes and other reasons. Systematized digital data for the considered period of the military conflict are summarized in a tabular form, which creates the possibility of their further scientific processing. Research application field. The outcomes of the study can be used when defining the composition and content of measures to combat fires occurring during military conflicts or resulting from them. Conclusions. The study allowed the authors to draw a number of conclusions. 1. Damage caused by fire in military conflicts must be taken into account independently – damage from attacks by enemy ammunition should be assessed separately from damage from non-military causes. 2. Means and forces of EMERCOM and other bodies are involved in eliminating consequences of emergencies and suppressing fires occurring due to military conflicts or resulting from these conflicts. 3. Statistical data on functioning the unified state system for alerting about emergencies and their elimination (RSChS) in the future must be analyzed with consideration of the data from the reports of EMERCOM of DPR, EMERCOM of LPR and the Ministry of Internal Affairs of DPR, the Ministry of Internal Affairs of LPR, considering them as valid empirical material reliable for scientific research.

Development of web based system for immigration daily returns

The Daily Border Returns System is a web-based system designed to automate the current manual documentation of border daily returns. The system facilitates efficient data management for day-to-day border activities, such as compiling daily travelers' reports, monthly reports, and situation reports. It utilizes a centralized database to store and manage relevant information about travelers, their immigration status, and any specific conditions or restrictions associated with their cases. The system enables immigration officers to easily access, update, and send information to headquarters, and it can print daily and monthly returns, aiding in decision-making and ensuring accurate and up-todate records. The system will be developed using Python, which is suitable due to its excellent support for working with data and generating reports. JavaScript will be used for web development, as it integrates well with HTML and CSS and has a vast ecosystem of libraries and frameworks, making it a good choice for the web-based interface of the Immigration Daily Border Returns System.

An Automated Chronic Disease Management for Cardiac Arrest Detection and Prevention on Emergency usingInternet of Medical Things (IoMT)

The Internet of Medical Things (IoMT) is a world of interconnected things that can sense, stimulate, and collaborate with one another and with the environment. Heart attacks have become more common in recent years, putting people's lives at risk. However, it is extremely complex and difficult to maintain/monitor health conditions in physical mode all the time, especially at night and while traveling. If a senior person or patient suffers from health issues such as sudden cardiac arrest or a rise/fall in blood pressure levels in their body, it will be incredibly tough to receive immediate assistance from others as well as medical agencies. The suggested method uses a pulse sensor to automatically monitor heart rate and a MEMS pressure sensor incorporated into IoMT devices to measure blood pressure (BP). If an elderly individual has a cardiac arrest, an automatic call with the exact GPS location is sent to a nearby ambulance service and their caretakers. The benefit of this method is to prevent unexpected death or major illness due to heart disease and may also be conveniently monitored by sending text messages with their heartbeat rate as a daily report to caretakers.

Looking forward or backward: A temporal lens to disentangle adaptive and maladaptive reactions to daily goal-performance discrepancy.

The fast-changing work environment has created growing hindrances to employee daily goal pursuits and rendered it not uncommon for employees to leave work with unachieved daily work goals. The significant ramifications of unachieved goals on employee well-being and performance thus call for more research efforts to understand how employees respond to unsatisfactory goal progress (e.g., goal-performance discrepancy [GPD]). Interestingly, two paradoxical theoretical perspectives exist on this matter, with the self-regulation perspective suggesting an adaptive feedback loop (i.e., GPD on a given day eventually reduces next-day GPD), whereas the self-focused cognition perspective suggesting a maladaptive feedback loop (i.e., GPD on a given day eventually exacerbates next-day GPD). Taking a temporal lens to integrate these two perspectives, we conducted a daily diary study to map out the self-regulatory cognition mechanisms (i.e., anticipatory thinking) and self-focused cognition mechanisms (i.e., rumination) underlying the feedback loops, and identify employee temporal focus (future and past focuses) as critical cross-level boundary conditions to explain why some react to daily GPD adaptively, whereas others maladaptively. Based on 485 daily reports from 100 work professionals, we revealed that daily GPD at work resulted in reduced next-day GPD via increased after-work anticipatory thinking. Meanwhile, daily GPD also resulted in aggravated next-day GPD via increased after-work rumination. Moreover, employee future focus mitigated the maladaptive cycle, whereas employee past focus hindered the adaptive cycle. Our study thus provides important theoretical and empirical insights into employee goal-pursuit process. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Adolescents’ daily social media use and mood during the COVID-19 lockdown period

Adolescents’ relationship to social media (SM) use shifted significantly during the COVID-19 lockdown. However, less is known about how adolescents’ social media use behaviors and mood were associated during this time. This study examined objective (passively sensed) SM use—including ‘screen time’ (duration of use) and checking (frequency of opening apps), retrospective daily reports of positive and negative affect during SM use, and general negative mood among adolescents during the COVID-19 lockdown period. Participants included 19 adolescents (Mean age = 15.8; 37 % female). Bayesian multilevel models examined whether within person-changes in SM ‘screen time’ and checking were associated with 1) retrospectively reported positive and negative affect while using SM and daily duration of SM use, 2) daily reports of overall negative mood. These relationships were examined both within the same day and prospectively (one day's SM behaviors predicting next-day mood and vise versa). On the same day, stronger positive or negative mood during SM use were associated with more SM ‘screen time’ (duration) and checking. Prospectively (next-day models), checking SM more frequently than usual was uniquely associated with within-person increases in adolescents’ positive mood when using SM the next day (p < .05), but not negative mood when using SM the next day. However, neither ‘screen time’ nor checking were associated with general negative mood on the same day or next day. These findings support the notion that SM is rewarding by highlighting that higher-than-usual SM checking is associated with within-person increases in positive mood during use. These findings also add to growing evidence that social media may not be directly tied to adolescents’ general mood state.

Risk factors for discontinuing intravenous patient-controlled analgesia after thoracic surgery.

This study examined the risk factors of experiencing side effects from using intravenous patient-controlled analgesia (IV PCA) following lung and esophageal surgery. Our study included adult patients who underwent lung or esophageal surgery and received IV PCA for postoperative acute pain control between 2020 and 2022. We collected information on side effects from IV PCA use, the decision to discontinue PCA, and the PCA regimen from the daily reports of the acute pain management team and verified the accuracy using electronic records from ward nurses. The primary outcome was the risk factor associated with discontinuing IV PCA due to its side effects. Out of the 1796 patients in our study, 1795 used PCA containing opioids; 196 patients stopped IV PCA due to unbearable side effects. Being female (adjusted odds ratio [aOR]: 2.65, 95% confidence interval [CI]: 1.70, 4.13) was linked to a higher chance of stopping PCA use. Having hypertension (aOR: 0.46, 95% CI: 0.26, 0.81) and being classified as the American Society of Anesthesiologists class 3 or higher (aOR: 0.48, 95% CI: 0.23, 0.86) were associated with a lower chance of discontinuing PCA use. Our study determined the risk factors to stop using IV PCA due to side effects following lung or esophageal surgery. These results emphasize the need for personalized pain management plans that take into account the patient's characteristics and the type of surgery performed.

An Analysis of the Sentiment and Impact of Mainstream Media Coverage of Chinese Tourists in the U.S. and China in the Aftermath of the COVID-19

The COVID-19 pandemic is reshaping global travel, particularly affecting Chinese tourists in the U.S. and China. This study dives deep into how Chinese and American mainstream media portrayed the travels of Chinese tourists in 2023 by analyzing the sentiment and broader impact of the media portrayal surrounding Chinese tourists in both countries, post-COVID-19 outbreak. Doing so sheds light on how these media outlets shape our perception of Chinese tourists, depending on the cultural and national settings. Comparative analysis is used to examine the difference between China Daily and Voice of America in the news headlines on Chinese tourists from 2023. 109 China Daily reports and 59 Voice of America reports were analyzed. Sentiment analysis is used to explore emotional attachments in mainstream media that are rooted in cultural, social and discursive contexts. By digging into the content, the researchers grasp a fuller picture of the experiences and hurdles faced by Chinese tourists. Moreover, this analysis prompts us to contemplate the fairness and impartiality of media coverage, offering valuable insights for reflection. The study finds differences in news coverage between Chinese and U.S. media about Chinese tourists, impacting China’s image and the tourists’ perception.

COVID-19 in Pakistan: A national analysis of five pandemic waves.

The COVID-19 pandemic showed distinct waves where cases ebbed and flowed. While each country had slight, nuanced differences, lessons from each wave with country-specific details provides important lessons for prevention, understanding medical outcomes and the role of vaccines. This paper compares key characteristics from the five different COVID-19 waves in Pakistan. Data was sourced from daily national situation reports (Sitreps) prepared by the National Emergency Operations Centre (NEOC) in Islamabad. We use specific criteria to define COVID-19 waves. The start of each COVID-19 wave is marked by the day of the lowest number of daily cases preceding a sustained increase, while the end is the day with the lowest number of cases following a 7-days decline, which should be lower than the 7 days following it. Key variables such as COVID-19 tests, cases, and deaths with their rates of change to the peak and then to the trough are used to draw descriptive comparisons. Additionally, a linear regression model estimates daily new COVID-19 deaths in Pakistan. Pakistan saw five distinct waves, each of which displayed the typical topology of a complete infectious disease epidemic. The time from wave-start to peak became progressively shorter, and from wave-peak to trough, progressively longer. Each wave appears to also be getting shorter, except for wave 4, which lasted longer than wave 3. A one percent increase in vaccinations decreased deaths by 0.38% (95% CI: -0.67, -0.08) in wave 5 and the association is statistically significant. Each wave displayed distinct characteristics that must be interpreted in the context of the level of response and the variant driving the epidemic. Key indicators suggest that COVID-19 preventive measures kept pace with the disease. Waves 1 and 2 were mainly about prevention and learning how to clinically manage patients. Vaccination started late during wave 3 and its impact on hospitalizations and deaths became visible in wave 5. The impact of highly virulent strains Alpha/B.1.1.7 and Delta/B.1.617.2 variants during wave 3 and milder but more infectious Omicron/B.1.1.529 during wave 5 are apparent.

DAILY SUBJECTIVE NEARNESS TO DEATH AND AFFECTIVE DYNAMICS

Abstract A core tenet of Socioemotional Selectivity Theory is that perception of time remaining in life plays a key role in the selection and pursuit of emotion regulation goals. The current study examined this idea within a daily diary framework, where subjective perceptions of nearness to death were reported on consecutive days. Age differences in the within-person coupling between daily subjective reports of nearness to death and daily affective dynamics were tested. A 14-day daily diary study of 440 adults (M age = 65, range 50-85) in the U.S. was conducted where participants reported on their subjective nearness to death, positive affect, and negative affect each day. Multilevel models were conducted separately for positive and negative affect. Being older and feeling farther away from death on average were each associated with higher levels of positive affect. Daily negative affect was predicted by both within-person and between-person constructs. On days when people reported feeling subjectively closer to death than their own average, they also experienced an increase in negative affect. A significant interaction revealed that this effect was particularly strong among older adults (aged 65+). These results suggest that daily manifestations of perceptions of limited time remaining in life are salient for daily affective dynamics, and that this salience is particularly pronounced among older adults relative to those in midlife.

Team NoDig - Decision Support for Sustainable Worksites

RoadAI: Reducing emissions in road construction is a competition hosted by the Norwegian Artificial Intelligence Research Consortium (NORA) in collaboration with Skanska, Sintef, and other partners. Data from a Skanska construction site has been given to all participants. This article describes an accurate automatic load and dump cycle detector and a daily report generator that can provide real-time insight into mass movement, idle machines, and machine-specific statistics. The transparency, deployment, and further development of the presented solutions are discussed.

Remote Monitoring of Canine Patients Treated for Pruritus during the COVID-19 Pandemic in Florida Using a 3-D Accelerometer.

The medical management of chronic canine pruritic dermatologic conditions is challenging and often frustrating. This is a report that shows one way of aiding the management of pruritic dogs using a remote monitoring device. It is often difficult for veterinarians to get dog owners to return to the clinic once a dog is treated. It is possible that a 3-D accelerometer device could provide information to the clinic staff on the success or failure of a pruritus treatment plan while the dog was cared for at home. Eighty-seven dogs and their owners came to a Florida dermatology specialty clinic or its general practice hospital to be evaluated and treated for pruritus. An ANIMO® 3-D accelerometer was placed on the collar of dogs diagnosed and treated for pruritus. Dogs that completed this study were monitored for 120 days (4 months). The ANIMO smart phone application monitored a dog's daily scratching, shaking, sleeping, activity, and resting and summarized this information in a daily report visible on the pet owner's smart phone. An additional variable (grooming minutes per day) could be seen by the study team that was not yet available in the app. The use of a 3-D accelerometer enabled veterinarians to continuously monitor dogs at home when they were being treated for itching. Clinic staff kept in touch with the owners by phone and could change therapy or bring the dog back for a recheck if problems were seen. Daily reports were combined into line charts that showed plots of scratching, shaking, grooming, and sleeping over four months. Veterinarians were able to remotely monitor dogs that had been treated for pruritus for up to four months through use of a collar-borne monitoring device. Dog owners and clinic staff used the daily summaries accessible through a smart phone application. Dogs seemed to tolerate the device well because of its small size, light weight, long battery life, and unobtrusive nature.

Estimating the Number of Attacks to Civilians in Ukraine: A Quantitative Analysis from Media Sources

We describe a compiled database of daily reports of attacks involving civilians that are associated with the Russian aggression to Ukraine. We argue how obtaining reliable estimates is beneficial for conflict resolution and postwar. Using appropriate statistical methods we correct for undercount and report unbiased estimates, with their associated confidence intervals. We discuss the territorial and time heterogeneity of civilian incidents. We argue that media sources, combined with appropriate methodologies, can be a timely and appropriate method for estimating the extent of harm in war times.

Implementation of the PNS e-Performance Program at the DPRD Secretariat of North Sulawesi Province

This research aims to find out how the e-Performance program is implemented in the DPRD Secretariat of North Sulawesi Province and the factors inhibiting the implementation of e-Performance. The research method used in this research is descriptive-analytical research using a qualitative approach. Based on the results of research conducted by the author, the following conclusions can be drawn: (1) e-Performance was developed to make it easier for officials to input activities or work and create Daily Work Reports (LKH). In addition, this application is expected to be able to become a supporting instrument for leaders in making decisions regarding employees, units, and work units (2) The implementation process is going well starting from holding socialization to supporting facilities (3) In filling out e-performance, obstacles are still found such as slow networks and sometimes application errors. (4) Rewards are a form of appreciation for employee performance in the form of performance allowances, while punishment is in the form of a 25% reduction in performance allowances.

SISTEM INFORMASI LAPORAN TRANSAKSI HARIAN DIVISI OPERASIONAL DAN PELAYANAN (OPR) PT. BANK SUMSEL BABEL (PERSERO)

Information Systems have become an integral component in the operations of businesses, government organizations, and others. An information system is a system used to collect, process, store and disseminate relevant information within an organization with the aim of supporting more efficient decision making, planning, management and operations. Information systems also involve interrelated procedures, people, data and hardware. The aim of creating a Daily Transaction Report Information System for the Operational and Service Division (OPR) of PT. Bank Sumsel Babel (Persero) to make the work of Operational and Service Division (OPR) employees easier in storing and searching for daily banking transaction report files at PT. Bank Sumsel Babel (Persero).

Financial Performance AnalysisBanking CompanyOn the Indonesian Stock Exchange

The success of a bank can be measured by the ability of the bank's fiscal work. By looking at the ability of a bank's fiscal work, it can be concluded whether the bank is in good condition or not. This research aims to dissect the fiscal work capabilities of banks listed on the Indonesia Stock Exchange for the 2019-2021 period based on the bank's liquidity level and solvency level. This research uses data analysis, a quantitative descriptive approach style and the data collection method used in this research is the validation method and the data studied is in the form of daily financial reports I-IV. The population used in this research is all banks registered on the IDX for the 2019-2021 period. The slice model used in this exploration is a deliberate slice system. The results of this research show that firstly, the fiscal work capacity of banks listed on the Indonesia Stock Exchange for the 2019-2021 period based on the level of liquidity as measured by the current ratio is good because it is suitable for paying current debts due to the minimum measurability of 2 times or 200. Second, The fiscal performance of banks listed on the Indonesia Stock Exchange for the 2019-2021 period based on the level of solvency as measured by the debt to equity ratio shows that the condition is not bad because the figure is above the minimum measure of 35.

Cognitive lapses reported by daily digital diary, and not by recall‐based questionnaires, predict future MCI in a demographically diverse cohort of community‐dwelling older adults

AbstractBackgroundAlthough cognitive lapses are a daily occurrence for many older adults, widely used self‐reports of cognitive function ask respondents to recollect lapses occurring over months or years. We used daily diaries to capture memory and other cognitive difficulties close in time to their occurrence and determined whether daily reports predicted concurrent and/or new cases of mild cognitive impairment (MCI) in the next year (i.e., at annual follow‐up).MethodIn the Einstein Aging Study, daily digital diary indicators of cognitive lapses were assessed each evening over a two‐week period (82% of diaries completed). Conventional recall‐based indicators were the Cognitive Change Index total score and a single item capturing worsening memory (with/without worry), both assessed at each annual visit. Using time‐dependent lagged models with generalized estimating equations (GEE) to correct for within person correlation, we evaluated the association of current cognitive lapses with the probability of being MCI at the current or next annual visit among those diagnosed with MCI after baseline (n = 31 new cases).ResultIn 307 community‐dwelling participants (Mage = 77.05, SD = 4.95; 67% female, 47% White) who were free of MCI at baseline, higher numbers of daily problems significantly predicted the likelihood of being diagnosed with MCI at the next annual visit (average number of visits = 2.72, range 1‐6 years). For every additional daily cognitive lapse, there was a 5% greater odds of being classified at the next visit (OR = 1.05, 95% CI: 1.01‐1.09). By contrast, conventional indicators did not significantly predict transition to MCI at the next visit (ps = .48 and .62, respectively). However, the single item regarding worsening memory was related to concurrent MCI diagnostic status (p&lt;.01). Sensitivity analyses examining the first 3 days or first 7 days to determine the number of daily reports required to identify new MCI cases indicated that both 3 and 7 days significantly predicted future MCI (OR = 1.34, 95% CI: 1.12‐1.61; OR = 1.07, 95% CI: 1.00‐1.14, respectively).ConclusionA brief daily diary assessment of cognitive lapses predicted new cases of MCI. The combination of daily and conventional methods may represent complementary approaches that offer the optimal approach for capturing self‐perceived cognitive deficits associated with current and future MCI.