bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamics of vegetative, insomnia and neuropsychological manifestations during the treatment of post-COVID syndrome
Authors: Alexandrova E. A. , Parshina E. V. , Borodacheva I. V. , Yulin V. S. , Suslov A. G. , Beliakov K. M. , Fomin S. V.
Published: March 2022

Introduction. Asthenia, vegetative manifestations, sleep disturbances and psycho-emotional background are companions of the coronavirus infection, the issue of drug correction of which is especially relevant. These symptoms disrupt the habitual way of life of patients for a long time, and in special cases lead to disability.Aim. To study the mental, somatoform and cognitive aspects of anxiety disorders after coronavirus infection during treatment with tofisopam (Grandaxin®) 150 mg/day.Materials and methods. The study included patients who had experienced a new coronavirus infection, who, after the end of treatment for the underlying disease, had complaints suggesting the presence of an anxiety disorder. The Hamilton scale was used to assess the level of anxiety. Examination of patients was carried out before the start of treatment, after 2, 4 and 6 weeks of therapy.Results and discussion. Prior to the start of therapy, all patients had an overall high level of anxiety: the average HAM-A score was 31.4 ± 2.92 points. At the end of Grandaxin® therapy, all patients showed a decrease in the level of anxiety: the average HAM-A score was 12.08 ± 2.27 points (p < 0.001). The maximum decrease in the severity of vegetative disorders was noted by the end of the 6th week of therapy with Grandaxin®. Thus, the indicator of this subscale decreased by more than 2 times – from 2.46 ± 0.54 to 1.05 ± 0.28 points (p < 0.001). The severity of insomnia during six weeks of therapy with Grandaxin® decreased from 2.56 ± 0.54 to 0.96 ± 0.45 points (p < 0.001).Conclusion. Psycho-emotional disorders (more often in the form of increased personal anxiety), sleep disorders, vegetative disorders, asthenic syndrome significantly affect the quality of life of patients who have had a new coronavirus infection. Involvement of the structures of the autonomic nervous system and central structures that regulate GABAergic transmission leads to significant vegetative failures, which requires pathogenetically substantiated drug correction of these disorders.
Diabetic neuropathy in combination with deficiency state
Authors: Zinovyeva O. E. , Egorov P. D. , Novikov V. N. , Lovchev I. M.
Published: March 2022

Diabetic polyneuropathy (DPN) is the most common neurological complication of diabetes mellitus. The most common type of DPN is distal symmetric, predominantly sensory, polyneuropathy. Chronic hyperglycemia plays a key role in DPN pathogenesis. It leads to accumulation of advanced glycation end products in tissues, including vasa nevrorum that supply peripheral nerves with oxygen. Thorough diagnostic approach to DPN is crucial for early detection of this condition. Early diagnosis and treatment slow DPN progression rates and leads to symptom reduction. Long-lasting metformin therapy may cause vitamin B deficiency. This article describes a comprehensive approach to the treatment of patient with type 2 diabetes and symptomatic diabetic and vitamin deficiency neuropathy. Apart from DM therapy, the patient received pathogenesis-based therapy of DPN with alpha-lipoic acid and a combination of vitamins B1, B6 and B12. Such pathogenesis-based approach has shown to decrease severity of DPN symptoms and reduce sensory ataxia.
Simple Spectrophotometric Determination of Iron in Diesel Oil after Sample Preparation Employing Extraction Induced by Emulsion Breaking
Authors: Pereira Thamiris , Cassella Ricardo
Published: March 2022

This work reports the development of a simple and fast method for the spectrophotometric determination of Fe in diesel oil using the classic reaction with 1,10-phenanthroline after its extraction induced by emulsion breaking (EIEB). The extraction parameters of EIEB were optimized (concentration of HNO3 and Triton X-100® in the emulsifying solution) as well as the adjustment of the pH of the final solution, a necessary step to complete the colorimetric reaction. The developed method presented a limit of detection of 0.004 mg L–1 and a limit of quantification of 0.013 mg L–1 and was applied in the analysis of six samples of diesel oil with different specifications. The results were statistically similar to those obtained by graphite furnace atomic absorption spectrometry (GF AAS). A recovery test was also performed by spiking the samples with 1.0 mg L–1 of Fe in the form of an organometallic compound, yielding recovery percentages between 83 and 108%.
The Abashevo Culture
Authors: Kuz’mina Ol’ga V.
Published: March 2022

The article is devoted to a brief description of the Abashevo culture. This culture emerged in forest areas of Eastern Europe at the end of the Middle Bronze Age. Abashevo monuments date back to the 22nd–19th centuries BC. It was the culture of cattle herders and metallurgists. The Abashevo culture is represented by barrow cemeteries, settlements, hoards and random finds. This article analyzes the funeral rites of the Abashevo culture. Several types of vessels are distinguished in the ceramic material, and their ornamentation is described (elements, motifs, composition, style). The article presents a typology of metal, bone and stone artifacts (weapons, tools, adornments, symbols of power). The Abashevo culture is represented by two local variants — in the Middle Volga (two territorial groups are known here — on the right and on the left banks of the Volga) and and in the South Ural. The origin of the Abashevo culture, most likely, had the character of transformation. It was based on cultures with Central European roots and local, Eastern European cultures. The end of the Abashevo culture is associated with the emergence of the Seyma-Turbino cultural group in Eastern Europe. The confrontation between the Abashevo and Seyma-Turbino military units led to the withdrawal of the Abashevo culture from traditional territory. In the new cultural environment, under the influence of the southern Ural variant of the Abashevo culture, Sintashta culture was formed. Pokrovka culture was formed under the influence of the Middle Volga variant of the Abashevo culture. Therefore, a significant role of the Abashevo culture in the formation of the Volga-Ural cultural genesis centre is evident.
Antibiotic resistance pattern and molecular detection of ESBL-associated genes in E. coli from surface and wastewater of Islamabad capital territory, Pakistan
Authors: Ahsan Aitezaz , Rehman Tariq Atta Ur , Irshad Hamid , Shahzad Muhammad Armaghan , Siddique Abubakar , Jamil Asma , Ali Adnan
Published: March 2022

The goal of this study was to determine how surface and wastewater contribute to the contamination of the environment with an extended-spectrum β-lactamase-producing Escherichia coli (ESBL E. coli). Water samples (n = 32) were collected from eight different locations of Islamabad and processed for microbiological and molecular analyses of E. coli and ESBL E. coli. Antimicrobial susceptibility testing was carried out to determine the resistance pattern of the isolates. A total of 21 water samples were contaminated with E. coli and 15 isolates were identified as ESBL producers harboring blaTEM (40%) and blaCTX-M (33.33%) genes. Interestingly, all the ESBL E. coli isolates showed the least resistance against second-generation Cephalosporins compared to other generations. Moreover, the study showed that the aquatic environment is harboring multidrug-resistant E. coli; therefore, it may act as a source of transmission to humans. The recovery of ESBL E. coli isolates resistant to higher generation Cephalosporins, Monobactam, and Carbapenems from water samples indicated an alarming situation. Thus, there is an urgent need to treat water efficiently for microbial decontamination to minimize the transmission of antimicrobial-resistant (AMR) bacteria.
Heterotrimeric G Protein α-Subunits - Structures, Peptide-Derived Inhibitors, and Mechanisms
Authors: Voss Jan H. , Müller Christa E.
Published: March 2022

G protein-coupled receptors are the largest protein family in the human body and represent the most important class of drug targets. They receive extracellular signals and transduce them into the cytosol. The guanine nucleotide-binding Gα proteins represent the main relays by which GPCRs induce intracellular effects. More than 800 different GPCRs interact with 16 Gα proteins belonging to 4 families, Gαi, Gαs, Gαq, and Gα12/13. The direct inhibition of Gα protein subunits rather than the modulation of GPCR subtypes has been proposed as a novel strategy for the treatment of complex diseases, including inflammation and cancer. This mini-review presents an introduction to G protein structure and function and describes achievements in the development of peptidic and peptide-derived Gα protein inhibitors. They have become indispensable pharmacological tools, and some of them exhibit significant potential as future drugs.
Bioactive Compounds from Plants and their Immune Potential against
Corona Virus
Authors: Tingirikari Jagan Mohan Rao , Musini Anjaneyulu
Published: March 2022

Background:

Corona virus is a contagious single-strand RNA virus affecting majorly
the lungs causing severe acute respiratory disease. The viral pandemic has affected the world
economy and posed new challenges to the scientific community. Due to high mutation rate, a lot of
variants are occurring and persons who are vaccinated are also getting affected. In addition, vaccination
trials for children aged below 18 are still going on. Moreover, the cost, shelf-life, success
rate, no booster dose required, and the long-term complications associated with the vaccine are yet
to be studied. Preservation and transportation of vaccines are another big challenge.

Objective:

Despite vaccination, the best alternative is to boost our immune system by administration
of bioactive compounds which are safe and effective. Bioactive compounds have been found
to be effective against several viral infections.

Methods:

Literature review has been performed using recently published research and review articles
pertaining to the role of plant-derived bioactive compounds in regulating COVID-19 infection.

Result:

The current review will describe the role and mechanism of bioactive compounds derived
from natural sources in disease management and boosting the immune system against COVID-19.

Conclusion:

In addition to vaccination, the administration of plant-derived bioactive compounds
will help in regulating viral infection and boosting the immune response during COVID-19 infection.
Knowledge, Awareness, and Practice of Gingival Veneer Prosthesis Among Dental Students, Interns, and Practitioners in the Riyadh Region: A Cross-Sectional Questionnaire-Based Survey
Authors: Altaleb Abdul Qader Mohammed , Albader Rayan Abdullah , Alfahad Muhannad Abdulaziz , AlGhizzi Mohammad Ghizzi Mohammad , Aldhuwayhi Sami , Mustafa Mohammed Ziauddeen , Thakare Amar Ashok , Naqvi Zuber Ahamed
Published: March 2022

Background:

The treatment modality of using gingival veneer prosthesis for anterior gingival recession is not widely known even in the dental fraternity. This survey has been conducted considering its essential nature and absence of data on its awareness in the Riyadh region.

Aims:

The aim of the study was to assess the knowledge, awareness, and practice of gingival veneer prosthesis among dental students, interns, and practitioners in the Riyadh region.

Materials and Methods:

A descriptive cross-sectional electronic survey was conducted on dental students, interns, and practitioners of both genders in Saudi Arabia, using a convenient sampling method. The final questionnaire consisted of 12 questions. The percentage of various responses, with reference to the demographics, and statistical significance, were tested by independent sample t-test and p-value <0.05. The responses/data of 446 participants were tabulated and processed in SPSS (version 21.0).

Results:

The preferred treatment option for an anterior gingival recession proposed by prosthodontists was prosthetic correction (p<0.05), and for other groups, it was periodontal surgery (p<0.05). 66% of general practitioners’ group and 56% of dental students and interns’ group, respectively, were not sure about the ideal treatment option for Miller’s class III & IV gingival defects, while 70% of general practitioners’ group and 65% of the students and interns’ group, respectively, were not sure about the ideal treatment option for the management of gingival tissue loss between implants,.

Conclusion:

There is a significant lack of knowledge on using gingival veneer prosthesis as a treatment option for anterior gingival defects among general dental practitioners, interns, and dental students (p˂0.05).
Relations Between BMI Trajectories and Habitual Physical Activity Measured by a Smartwatch in the Electronic Cohort of the Framingham Heart Study: Cohort Study
Authors: Hammond Michael M , Zhang Yuankai , Pathiravasan Chathurangi H. , Lin Honghuang , Sardana Mayank , Trinquart Ludovic , Benjamin Emelia J , Borrelli Belinda , Manders Emily S , Fusco Kelsey , Kornej Jelena , Spartano Nicole L , Kheterpal Vik , Nowak Christopher , McManus David D , Liu Chunyu , Murabito Joanne M
Published: March 2022

Background

The prevalence of obesity is rising. Most previous studies that examined the relations between BMI and physical activity (PA) measured BMI at a single timepoint. The association between BMI trajectories and habitual PA remains unclear.

Objective

This study assesses the relations between BMI trajectories and habitual step-based PA among participants enrolled in the electronic cohort of the Framingham Heart Study (eFHS).

Methods

We used a semiparametric group-based modeling to identify BMI trajectories from eFHS participants who attended research examinations at the Framingham Research Center over 14 years. Daily steps were recorded from the smartwatch provided at examination 3. We excluded participants with <30 days or <5 hours of smartwatch wear data. We used generalized linear models to examine the association between BMI trajectories and daily step counts.

Results

We identified 3 trajectory groups for the 837 eFHS participants (mean age 53 years; 57.8% [484/837] female). Group 1 included 292 participants whose BMI was stable (slope 0.005; P=.75), group 2 included 468 participants whose BMI increased slightly (slope 0.123; P<.001), and group 3 included 77 participants whose BMI increased greatly (slope 0.318; P<.001). The median follow-up period for step count was 516 days. Adjusting for age, sex, wear time, and cohort, participants in groups 2 and 3 took 422 (95% CI –823 to –21) and 1437 (95% CI –2084 to –790) fewer average daily steps, compared with participants in group 1. After adjusting for metabolic and social risk factors, group 2 took 382 (95% CI –773 to 10) and group 3 took 1120 (95% CI –1766 to –475) fewer steps, compared with group 1.

Conclusions

In this community-based eFHS, participants whose BMI trajectory increased greatly over time took significantly fewer steps, compared with participants with stable BMI trajectories. Our findings suggest that greater weight gain may correlate with lower levels of step-based physical activity.
Research and Application of Artificial Intelligence Based on Electronic Health Records of Patients With Cancer: Systematic Review
Authors: Yang Xinyu , Mu Dongmei , Peng Hao , Li Hua , Wang Ying , Wang Ping , Wang Yue , Han Siqi
Published: March 2022

Background

With the accumulation of electronic health records and the development of artificial intelligence, patients with cancer urgently need new evidence of more personalized clinical and demographic characteristics and more sophisticated treatment and prevention strategies. However, no research has systematically analyzed the application and significance of artificial intelligence based on electronic health records in cancer care.

Objective

The aim of this study was to conduct a review to introduce the current state and limitations of artificial intelligence based on electronic health records of patients with cancer and to summarize the performance of artificial intelligence in mining electronic health records and its impact on cancer care.

Methods

Three databases were systematically searched to retrieve potentially relevant papers published from January 2009 to October 2020. Four principal reviewers assessed the quality of the papers and reviewed them for eligibility based on the inclusion criteria in the extracted data. The summary measures used in this analysis were the number and frequency of occurrence of the themes.

Results

Of the 1034 papers considered, 148 papers met the inclusion criteria. Cancer care, especially cancers of female organs and digestive organs, could benefit from artificial intelligence based on electronic health records through cancer emergencies and prognostic estimates, cancer diagnosis and prediction, tumor stage detection, cancer case detection, and treatment pattern recognition. The models can always achieve an area under the curve of 0.7. Ensemble methods and deep learning are on the rise. In addition, electronic medical records in the existing studies are mainly in English and from private institutional databases.

Conclusions

Artificial intelligence based on electronic health records performed well and could be useful for cancer care. Improving the performance of artificial intelligence can help patients receive more scientific-based and accurate treatments. There is a need for the development of new methods and electronic health record data sharing and for increased passion and support from cancer specialists.
Associations Between the Digital Clock Drawing Test and Brain Volume: Large Community-Based Prospective Cohort (Framingham Heart Study)
Authors: Yuan Jing , Au Rhoda , Karjadi Cody , Ang Ting Fang , Devine Sherral , Auerbach Sanford , DeCarli Charles , Libon David J , Mez Jesse , Lin Honghuang
Published: March 2022

Background

The digital Clock Drawing Test (dCDT) has been recently used as a more objective tool to assess cognition. However, the association between digitally obtained clock drawing features and structural neuroimaging measures has not been assessed in large population-based studies.

Objective

We aimed to investigate the association between dCDT features and brain volume.

Methods

This study included participants from the Framingham Heart Study who had both a dCDT and magnetic resonance imaging (MRI) scan, and were free of dementia or stroke. Linear regression models were used to assess the association between 18 dCDT composite scores (derived from 105 dCDT raw features) and brain MRI measures, including total cerebral brain volume (TCBV), cerebral white matter volume, cerebral gray matter volume, hippocampal volume, and white matter hyperintensity (WMH) volume. Classification models were also built from clinical risk factors, dCDT composite scores, and MRI measures to distinguish people with mild cognitive impairment (MCI) from those whose cognition was intact.

Results

A total of 1656 participants were included in this study (mean age 61 years, SD 13 years; 50.9% women), with 23 participants diagnosed with MCI. All dCDT composite scores were associated with TCBV after adjusting for multiple testing (P value <.05/18). Eleven dCDT composite scores were associated with cerebral white matter volume, but only 1 dCDT composite score was associated with cerebral gray matter volume. None of the dCDT composite scores was associated with hippocampal volume or WMH volume. The classification model for differentiating MCI and normal cognition participants, which incorporated age, sex, education, MRI measures, and dCDT composite scores, showed an area under the curve of 0.897.

Conclusions

dCDT composite scores were significantly associated with multiple brain MRI measures in a large community-based cohort. The dCDT has the potential to be used as a cognitive assessment tool in the clinical diagnosis of MCI.
Using Twitter to Examine Stigma Against People With Dementia During COVID-19: Infodemiology Study
Authors: Bacsu Juanita-Dawne , Fraser Sarah , Chasteen Alison L , Cammer Allison , Grewal Karl S , Bechard Lauren E , Bethell Jennifer , Green Shoshana , McGilton Katherine S , Morgan Debra , O’Rourke Hannah M , Poole Lisa , Spiteri Raymond J , O'Connell Megan E
Published: March 2022

Background

During the pandemic, there has been significant social media attention focused on the increased COVID-19 risks and impacts for people with dementia and their care partners. However, these messages can perpetuate misconceptions, false information, and stigma.

Objective

This study used Twitter data to understand stigma against people with dementia propagated during the COVID-19 pandemic.

Methods

We collected 1743 stigma-related tweets using the GetOldTweets application in Python from February 15 to September 7, 2020. Thematic analysis was used to analyze the tweets.

Results

Based on our analysis, 4 main themes were identified: (1) ageism and devaluing the lives of people with dementia, (2) misinformation and false beliefs about dementia and COVID-19, (3) dementia used as an insult for political ridicule, and (4) challenging stigma against dementia. Social media has been used to spread stigma, but it can also be used to challenge negative beliefs, stereotypes, and false information.

Conclusions

Dementia education and awareness campaigns are urgently needed on social media to address COVID-19-related stigma. When stigmatizing discourse on dementia is widely shared and consumed amongst the public, it has public health implications. How we talk about dementia shapes how policymakers, clinicians, and the public value the lives of people with dementia. Stigma perpetuates misinformation, pejorative language, and patronizing attitudes that can lead to discriminatory actions, such as the limited provision of lifesaving supports and health services for people with dementia during the pandemic. COVID-19 policies and public health messages should focus on precautions and preventive measures rather than labeling specific population groups.
Influenza Symptom Surveillance System Based on Absenteeism and Temperature: A Pilot Study in China (Preprint)
Authors: Yang Zhen , Jiang Chenghua
Published: March 2022

BACKGROUND

Absenteeism has been shown to be a valid indicator for influenza surveillance. In China, it is common for students to attend school while ill, so a surveillance system that focuses only on absentees may lead to error. Therefore, the development of a system for both absenteeism and attendance is necessary.

OBJECTIVE

The objective is to design and implement an influenza symptom surveillance system (SSS) based on absenteeism (collected by face recognition) and temperature of attending students (measured by infrared thermometer), and to evaluate the effectiveness of the system.

METHODS

An influenza SSS was deployed by extending the functionality of an existing application for student health management. The system used infrared thermometers for temperature screening while counting absent students by facial recognition. The operation of the system was investigated in participating schools in China, the weekly absenteeism and fever rates (WAR and WFR) were calculated and compared with the weekly positive rate of influenza virus (WPRIV) released by the China National Influenza Center to inspect the data reliability and operation feasibility of this system. The system was implemented in two primary schools and one junior high school in the Yangtze River Delta, with a total of approximately 3,500 students participating. The period was from March 1, 2021 to January 14, 2022, with 174 effective days.

RESULTS

A significant positive correlation between WAR and WPRIV (r=0.868, p<0.001) was detected. When the influenza activity level was low, the WAR was significantly positively correlated among schools. As the influenza activity level increased, the WAR gap among schools gradually increased, and the peak was reached about one week earlier in primary schools than in the junior high school. A significant positive correlation between WFR and WPRIV (r=0.532, p<0.05) was also detected. When WFR was included, the proposed system detected influenza outbreaks up to three weeks earlier than traditional surveillance systems.

CONCLUSIONS

The feasibility of the proposed system, which calculates absenteeism through face recognition and the temperature of attending students with infrared thermometers, was shown in the present paper. Compared with similar existing systems, this system has advantages of simplicity, acceptability, security, sensitivity and timeliness.

CLINICALTRIAL

The data used in this study were anonymized, so the Tongji University Review Board designated this study as non-human subject research.
Development and Validation of a Prediction Equation for Body Fat Percentage from Measured BMI: A Machine Learning Approach (Preprint)
Authors: Xu Shiming , Nianogo Roch A. , Jaga Seema , Arah Onyebuchi
Published: March 2022

BACKGROUND

Body mass index is a widely used but poor predictor of adiposity in populations with excessive fat-free mass. Rigorous predictive models validated specifically in a nationally representative sample of the US population and that could be used for calibration purposes are needed.

OBJECTIVE

To develop and validate prediction equations of body fat percentage obtained from Dual Energy X-ray Absorptiometry using Body Mass Index (BMI) and socio-demographics.

METHODS

We used data from 5,931 and 2,340 adults aged 20 to 69 in NHANES 1999-2002 and NHANES 2003-2006, respectively. A supervised machine learning using ordinary least squares and a validation set approach were used to develop and select best models based on R2 and root mean square error. We compared our findings with other published models and utilized our best models to assess the amount of bias in the association between predicted body fat and elevated low-density lipoprotein (LDL).

RESULTS

Three models included BMI, BMI2, age, gender, education, income and interaction terms and produced R-squared values of 0.86 and yielded the smallest standard errors of estimation. The amount of bias in the association between predicted BF% and elevated LDL from our best model was -0.005.

CONCLUSIONS

Our models provided strong predictive abilities and low bias compared to most published models. Its strengths rely on its simplicity and its ease of use in low-resource settings.
Student Awareness of their Future Careers in Tanzania: A Case of One Private and Two Public Universities in Dar es Salaam
Authors: Nyaganilwa Nehemiah N. , Mshana Peter P. , Massawe Bernadeta A. , Haule Festo C. , Joseph Michael N. , Kijanga Samwel
Published: March 2022

Career awareness is important in ensuring that individuals choose right career and are motivated in their studies. This study assessed career awareness among university students in Tanzania. Specifically, the study assessed the nature of students’ awareness about career choices; the effect of lacking career awareness and strategies of overcoming the challenge of lack of career awareness. To address these objectives, the study utilized 88 university students and 5 lecturers selected from three universities in Dar es Salaam region. Clustered and purposive sampling approaches were used in selecting respondents. They responded to a questionnaire and data were analyzed descriptively using SPSS. The findings revealed that majority of the respondents acquired career awareness at secondary level of education. Role models and professionals were the main source of career awareness to students. Poor performance and suppression of inborn talents were among the effects of lacking career awareness. To overcome the challenge, higher learning institutions should initiate career awareness programmes, the government should review curricula and parents should provide career guidance to their children. It is concluded that, a collaborative role from different stakeholders in ensuring young generations are well guided on their future careers could yield better results.
Intelligent Tourist Guide System
Authors: Kumaran N. , Aakash B. , Vidhyaharini M.
Published: March 2022

Abstract: The Project is entitled as “Intelligent Tourist Guide System”. Smartphones are inevitable nowadays; this project is mainly for tourist who faces many difficulties in their journey. This project will help to improve the existing navigation system in smartphone by solving the tourist confusions while travelling many new places also this project benefits in many aspects. This mobile application project is very beneficial, user friendly, quicker and flexible with many future oriented ideas. This mobile application is built using advanced Software that can work in many platforms not only in android OS. Keywords: Location, GPS, Destinations, Distances, Route
Design of Water Treatment Plant for Al-Bsaber City
Authors: Mohammed Alnour Ahmed , Suliman Zaid Ibrahim Abdallah , Elamein Nabela Hamed , Mustafa Wasan Elhadi Eltayeb , Muneef Abdullah Hussein Yahya
Published: March 2022

Abstract: Water treatment is a process of changing the quality for potable drinking water & domestic uses. This water treatment plant is designed for the city of Al-Bsaber. The supply of water comes from the Nile river, which passes near the city and extends across many countries. The treated water will be supplied to the residents of Al-Bsaber and the treatment plant is designed for 36 years. The treatment units of water treatment plant (WTP) were designed with step-by-step calculations and according to the quality of the water the future population of Al-Bsaber city from 2022 to 2058 was projected as 37736 and the average discharge for the population of 36years was estimated as 4339.6 m3 /d. The detailed calculations and drawings were displayed, the results of each unit of WTP were tabulated. It is concluded that it is possible to use this work as a source for other WTP units to build. The removal performance of the WTP units was significantly affected by a variety of factors, such as the age of WTP, repair, economic and political circumstances, technical problems, and water demand. Keywords: Water treatment plant; design calculation; treatment units; water demand; water supply.
Thermal Stress Analysis and Optimization of FSW Process on UHMWPE by Using Triangular Tool Profile
Authors: Srinivasan Dr. V. P. , Varthanan Dr. P. Ashoka
Published: March 2022

Abstract: The use of polymeric materials has grown widely in various sectors such as packaging, building, electronic, automotive, and aerospace industries. Particularly, Ultra-High Molecular Weight Polyethylene has wide engineering applications and is used in large quantities in automotive oil pans, gears, slides, cams, bearings, fluid reservoirs, and the sports industry. Friction Stir Welding (FSW) is a solid-state process in joining thermoplastic materials. In this investigation, FSW process must be applied to join a UHMWPE plate of 10 mm thickness with specially designed triangular tool pin profile. The aim of this study is to examine the effect of main friction stir welding (FSW) parameters on the quality of UHMWPE plate welds. FSW machine, using a tool with a stationary shoulder and no external heating system. The welding parameters studied were the tool rotational speed which varied between 1300 and 1500 (rpm); the traverse speed which varied between 15 and 25 (mm/min), and the axial force ranging from 8 to 10 (KN). Good quality welds are achieved without using external heating, when the tool rotational speed and axial force are above a certain threshold. For high rotational speed and axial force welds have poor material mixing at the retreating side and mild voids at the nugget, tensile strength also obtained very poor. The hardness angle distortion and bead geometry also evaluated. Taguchi design optimum parameters and ANNOVA were found. Keywords: FSW, Tool Profile, Taguchi, HRM, Polyethylene
A Survey on Windows Post Exploitation [MSF] Keylogger for Security
Authors: Bauri Chandra Kant , Indulkar Chetan , Jadhav Shantanu , Khandagale Prof. Anjali S.
Published: March 2022

Abstract: Keyloggers or keystroke loggers are software programs or hardware devices that track the activities (keys pressed) of a keyboard. Keyloggers are a form of spyware where users are unaware their actions are being tracked. Keyloggers can be used for a variety of purposes; hackers may use them to maliciously gain access to your private information, while employers might use them to monitor employee activities. Some keyloggers can also capture your screen at random intervals; these are known as screen recorders. Keylogger software typically stores your keystrokes in a small file, which is either accessed later or automatically emailed to the person monitoring your actions. You’ll find use of keyloggers in everything from Microsoft products to your own employer’s computers and servers. In some cases, your spouse may have put a keylogger on your phone or laptop to confirm their suspicions of infidelity. Worse cases have shown criminals to implant legitimate websites, apps, and even USB drives with keylogger malware. Whether for malicious intent or for legitimate uses, you should be aware how keyloggers are affecting you. First, we’ll further define keystroke logging before diving into how keyloggers work. Then you’ll be able to better understand how to secure yourself from unwanted eyes. You might find legal keyloggers are in your daily life more than you realized. Fortunately, the power to control your data is often in your hands if the monitoring party has asked for access. Outside of employment, you can simply decline permission to the keyloggers if you so choose. Keywords: Keylogger, Reverse Shell, Post-Exploitation, Metasploit, Netcat, Intranet, privilege escalation.
Far Reaching Repercussions of Diabetes Mellitus on Cardiovascular Health of Middle-Aged People
Authors: Tiwari Abhilasha , Dubey Divya
Published: March 2022

Abstract: Over the years the word Diabetes has been the bane of many a patients across the world. Millions of people fall a victim to diabetes every year and suffer the harmful consequences for their lifetime. Though it is no longer a life threatening ailment as it once used to be but it could be fatal if the patient sidelines necessary precautions. The study conducted in the city of Kota aims to highlight the scourge of Diabetes and its lethal effects on the cardiovascular health of middle aged people who are the most potent victims. Though it’s well known that uncontrolled blood sugar levels lead to Diabetes among the middle aged but over a span it gradually impacts their heart which starts malfunctioning and may even collapse if the condition keeps worsening. The study was randomly conducted on a sample set of 50 middle aged individuals between 35 to 65 in age residing in the city of Kota and undergoing treatment for Type 2 Diabetes. The sample was sourced from a hospital in the city which allowed us to interact with the patients. The results were surprising and somehow validated the beliefs. Though, there wasn’t exactly a strict correlation between the two but the data and its analysis later indicated that unduly high blood sugar level does have a long term impact on the heart of individuals. Contacting the patients and seeking their responses was a tough job but a meticulous approach made it possible to collate the results and reach an informed conclusion. Since all the individuals in the sample set were diabetics, getting responses from them regarding the health of their heart and connecting it with their pre-existing conditions held the key to the whole study. Although they were all on strict medication for Diabetes, their related heart ailments were forcing them to ingest pills to keep their hearts in check and in some respondents the ailment was grave enough and worthy of a serious consideration. Although majority of them just started off as diabetics but on the way picked heart related disorders and were forced to undergo special treatment for that. Keywords: Scourge, ailment, correlation, collate
Fuzzy Logic Controller Design for First Order Time Delay Systems
Authors: Reddy Chandan N , Mishra Aman , N Charan Kumar , Naidu I Madesh
Published: March 2022

Abstract: In this paper, a Fuzzy Logic Controller for reducing the time delay (Dead time) is designed. The main purpose of this work is to build a unique FLC which controls the time delay occurring in industries. In most of the industries for controlling time delay PI and PID controllers are used, but when they are compared to FLC the performance parameters such as response time, overshoot is less and accurate in fuzzy. Even it is showed that FLC reduces the Steady state error. Overall, it shows that effect of Fuzziness is more accurate than that of PI and PID controllers.
Lignocellulosic Wastes as A Potential Resource for the Production of Sustainable Plant Nursery Polybags
Authors: M Elwin , P Vincent , M Mithuna , T M Ganesh Gopal , E Sreenivasan
Published: March 2022

Abstract: In India, lignocellulosic wastes generated from wood-based industries on a large scale are still not utilized effectively. Beyond the conventional disposal strategies, there exists great scope for the utilization of these waste materials as a way to sustainability and economic well-being of the country. The developmental urge that occurred in the agricultural sector resulted in a series of environmental and plant growth impacts. The introduction and use of plastic plant polybag is such a faulty strategy that introduced to the agriculture sector. The environmental impacts from the use of plastic plant polybag have created a renewed interest in this field which mainly focused on sustainable agriculture ensuring environmental well-being and plant growth. This article reports the findings from our study on various easily available bio-wastes from a fibreboard unit of a large wood processing industry, which are used for developing biodegradable nursery polybags to deal with the environmental and other concerns regarding the employment of the plastic nursery polybags. Keywords: Lignocellulosic wastes, nursery polybags, eco-friendly substitutes, biodegradability
Credit Card Fraud Detection System
Authors: More Anushka , Musale Nidhi , Ranpariya Himani , Salunke Sarthak , Tilak Prof. Sujit
Published: March 2022

Abstract: Credit Cards are quite useful for day to day life. The main aim of this project is to detect fraud accurately. With the increase in fraud rates, researchers have started using different machine learning methods to detect and analyze frauds in online transactions. 'Fraud' in credit card transactions is unauthorized and unwanted usage of an account by someone other than the owner of that account. Fraud detection involves monitoring the activities of users in whole in order to estimate, perceive or avoid objectionable behavior, which consist of fraud, intrusion, and defaulting. The problem itself is more challenging with respect to data science since the number of valid transactions far outnumber fraudulent ones. Also, the transaction patterns often change their statistical properties over the course of time. However, the massive stream of payment requests is quickly scanned by automatic tools that determine which transactions to authorize. Also, Messages are generated to confirm with the owner about the transactions. Machine learning algorithms are employed to analyze all the authorized transactions and report the suspicious ones. These reports are investigated by professionals who contact the cardholders to confirm if the transaction was genuine or fraudulent. This project also designs and develops a novel fraud detection method for Streaming Transaction Data, with an objective, to analyze the past transaction details of the customers and extract the behavioral patterns. To name a few techniques which we are going to implement are Isolation Forest Algorithm, Random Forest Algorithm, Logistic Regression, Confusion Matrix and Sliding-Window method. Keywords: Credit card fraud, isolation forest, local outlier factor, random forest, confusion matrix
A Review Paper on Voice Isolation Using Artificial Neural Network
Authors: Kumar Vikash , Kumar Gupta Shivam , Sharma Harsh , Bhadauriya Uchit , Varma Chandra Prakash
Published: March 2022

Abstract: Verbal communication been the most versatile and easiest way of communication since ages and nowadays also, it is used by today's machines also but every entity has its complications. Since, the commencement of 4G, hackneyed the verbal communication via mobiles. Thus, experiencing distortion in the message travelling between sender and receiver. So, the concerned paper shows how a new classification method tackles this problem by using Artificial Neural Networks(ANN) with the help of machine learning algorithms. The scope of artificial neural network is very vast it can be used in various fields such as speech enhancement, speech identification and many more. By using artificial neural network with machine learning algorithms, isolation will be done from the noise which got superimposed while travelling through the channel. Keywords: Artificial Neural Network, Voice Isolation, Independent Component Analysis, Neurons
Penegakan Hukum Pidana terhadap Pelaku Vandalisme pada Rambu Lalu Lintas
Authors: Kadek Putra Dwi Payana  , Anak Agung Sagung Laksmi Dewi  , I Made Minggu Widyantara
Published: March 2022

Vandalism has quite a negative impact on human life such as disrupting the function of public facilities, for example, vandalism in the form of graffiti on traffic signs which in addition to damaging the function of traffic signs can also endanger road users.  Therefore, it is necessary to enforce the law on the crime of vandalism in order to provide a deterrent effect by giving sanctions to the perpetrators of vandalism.  The purpose of this study is to determine the legal arrangements against vandalism perpetrators on traffic signs and to discuss criminal sanctions that can be imposed on perpetrators of vandalism on traffic signs. The research method that the author uses is normative legal research. The sources of legal material in this study consist of secondary, primary and tertiary legal sources used in this study. These materials are collected by means of recording techniques, file systems, and document studies which will be analyzed systematically. in Article 275 paragraph (2) of Law Number 22 of 2009 concerning Road Traffic and Transportation. The author suggests to the government to immediately make a specific law, and the public to immediately report it to the authorities if there are acts of vandalism
Perlindungan Hukum terhadap Konsumen Tabung Oksigen Hasil Modifikasi di Masa Pandemi Covid- 19 Berdasarkan Undang- Undang Nomor 8 Tahun 1999 Tentang Perlindungan Konsumen
Authors: Ni Wayan Eny Yulianti  , I Nyoman Putu Budhiarta  , Luh Putu Suryani
Published: March 2022

The circulation of modified oxygen cylinders causes the community to need legal protection for the community. So, this research aims to examine the form of legal protection for consumers who are harmed by the use of modified oxygen cylinders by business actors during the Covid-19 pandemic based on Law Number 8 of 1999 concerning Consumer Protection, and to discuss the responsibilities of business actors who harm consumers. for the circulation of modified oxygen cylinders during the Covid-19 pandemic. The normative research method uses a statutory approach, a conceptual approach, and a case approach. The legal materials of this research use primary, secondary and tertiary legal materials. Primary legal material comes from legislation relevant to the research case. Secondary legal materials consist of legal journals, law books, and the internet. And tertiary legal materials, namely supporting legal materials such as legal dictionaries, encyclopaedias and others. The technique of collecting legal materials used in this research is the technique of inventorying legislation according to the hierarchy so that it uses the library method by using the technique of recording legal materials. The results of this study can be concluded that preventive legal protection for consumers of modified oxygen cylinders with the regulation of consumer rights Article 4 UUPK and repressive protection consumers who are harmed can ask for compensation through litigation and non-litigation. Liability to consumers of modified oxygen cylinders who are harmed in the form of product responsibility based on compensation in the form of refunds or health care
Penyalahgunaan Perbincangan Interaktif dalam Aplikasi Sugar Live sebagai Media Komunikasi yang Bermuatan Tindak Pidana Pornografi (Studi Kasus Putusan Pn Semarapura No.48/Pid.B/2021/Pn Srp)
Authors: Komang Arya Ananta Setyawan  , Sugiartha I Nyoman Gede , Widyantara I Made Minggu
Published: March 2022

The Sugar Live app was found to contain many substances that ignore justice, combining cyberporn and porn via the web. The Indonesian government sets an umbrella that is explicitly related to pornography via the web. Thus, how is the regulation of the Information and Electronic Transactions Law (ITE) against the abuse of the Sugar Live application, especially how the sanctions are applied to the defendant in the misuse of the Sugar Live application media based on the Semarapura District Court Decision No.48/Pid.B/2021/ Pn Srp. This research aims to determine the legal umbrella that is explicitly related to pornography via the web and to determine the authority given to the plaintiff in the misuse of the Sugar Live application media. This study uses an empirical type of research using a juridical approach with the method of legislation in elaborating the problem with sources of legal materials such as legal umbrellas, textbooks and dictionaries then carried out with a hierarchical inventory technique. In view of the results of the examination that the misuse of the Sugar Live application has abused the legal umbrella that is explicitly related to pornography via the web and the litigants are sentenced to 1 (one) year in prison.
Resi Gudang sebagai Objek Jaminan Kredit Bank (Warehouse Receipts As Bank Credit Guarantee Objects)
Authors: Dewa Ayu Agung Laksmi Dewi  , Budhiartha I Nyoman Putu , Mahendrawati Ni Luh Made
Published: March 2022

Warehouse receipts are one of the very central parts of the financing system in the trade sector. Warehouse receipts can provide convenience for credit for the trade sector where the guarantee is in the form of inventory or commodities stored in warehouses. The purpose of this study is to discuss bank credit arrangements with warehouse receipt guarantees and to examine legal protection for warehouse receipt guarantee rights holders. The research used in this study is a normative research type, using a statutory approach and a conceptual approach. The sources of legal materials for this research consist of primary and secondary sources of legal materials. This research data collection technique uses recording techniques, file systems, and document studies which will be analyzed systematically. The results of the study show that the enactment of Law Number 9 of 2006 is to provide and provide legal certainty and provide protection to the community and also to expand public access to use financing facilities. This law has provided strong legal protection to the owners of warehouse receipt security rights, this is so because it has included supporting institutions for implementing warehouse receipts which are used as objects of credit guarantees.