bluuebunny/crossref_metadata_2025 huggingface dataset:
Logical-Linguistic Modeling of Security Threats Information in Information Systems
Authors:   FAU «GNIII PTZI FSTEC of Russia», Yazov Yury , Soloviev Sergey ,   FAU «GNIII PTZI FSTEC of Russia», Tarelkin Mikhail ,   FAU «GNIII PTZI FSTEC of Russia»
Published: August 2022

Purpose: assessment of the possibility, definition of conditions and a brief description of the relational languages of logical-linguistic modeling for a formalized description and presentation of the processes of implementing information security threats in information systems. Method: application of the logical-linguistic modeling apparatus, which makes it possible to formally describe information security threats and a set of actions performed in the course of their implementation, taking into account the capabilities of relational description languages, such as Codd’s language, context-free plex-language, RX-code language, syntagmatic chains and semantic networks. Result: a brief description and comparative analysis of relational description languages and features that affect the possibility of their use for describing threats to information security and logical-linguistic modeling of their implementation processes are given. The expediency of such modeling is shown when creating promising expert systems designed for automated and automatic analysis of threats, when maintaining a data bank of threats based on the results of monitoring publications about them on the Internet. Examples of constructing formal logical-linguistic descriptions of well-known threats of computer attacks on information systems using RX-code languages and semantic networks are given, proposals are made for expanding the language of semantic networks to describe threats, taking into account new data on threats and methods for their implementation. It is noted that the proposed approach to modeling the processes of implementation of information security threats, as a rule, is applicable in the absence of the need to take into account the time factor when assessing the possibilities of their implementation.
Analysis of The Long-Term Links Between the Money Supply and The Consumer Price Index of The Republic of Azerbaijan
Authors: Karimova U. Y. , Rustamova L. A. , Afandiyeva H. A.
Published: August 2022

Purpose of the study.Monetary policy is one of the most effective tools of the state under the control of the central bank. It allows you to influence macroeconomic components, such as the amount of money supply, activity in the credit market and the exchange rate of the national currency. Such actions lead to an increase in the money supply and the speed of its turnover, ensuring the availability of loans. Economic growth is being stimulated, but there are also adverse consequences - inflation is accelerating. The central bank uses monetary policy more frequently to bring about the desired level of change in real economic activity. These changes significantly affect the stock market. Economic theory uses the relationship between the money supply and the consumer price index. An analysis of the impact of the money supply on the consumer price index is necessary to select the most reliable type of monetary policy in the economy, to ensure macroeconomic stability or to stimulate economic growth. The money supply not only denotes and shows the level of money in various types and forms, but is also an important indicator on which price increases, inflation, credit policy, etc. depend. The dynamics of the money supply determines the dynamics of prices. The accumulation of excess money supply in the country’s economy leads to the depreciation of the national currency. The purpose of the study is to analyze the long-term relationship between the money supply and the consumer price index of the Republic of Azerbaijan.

Materials and methods.In the article to analyze the long-term links between monetary aggregates M1, M2 and the consumer price index of the Republic of Azerbaijan based on quarterly data for 2005-2018, a long-term equilibrium state model and a short-term error correction model were designed. With the help of cointegration analysis and a vector model, the long-term and short-term aspects of the links between the growth of the money supply and the increase in the price level are investigated. For the regression analysis of these models, the EViews 8 application package was used.

Results. Using the various methods showed that the dynamics of M1 and M2 monetary aggregates determine the growth of the consumer price index in Azerbaijan both in the long-term and in the short-term periods.

Conclusion.The analysis allows us correctly approaching the problem of modelling the inflation level and to obtain a statistically acceptable and stable model with good predictive characteristics. The fact that there is a connection in the opposite direction has been confirmed. The use of various complementary methods showed that the dynamics of monetary aggregates M1 and M2 determines the growth of the consumer price index in Azerbaijan both in the long and short term.
TRANSMISIBILIDAD DE LA ACCIÓN POR DAÑO MORAL EN MATERIA DE ACCIDENTES DE TRABAJO
Authors:   Universidad Católica del Norte, Antofagasta, Chile., Torres Moraga Marcela
Published: August 2022

El presente artículo analiza el problema de la transmisibilidad del daño moral en materia de accidentes de trabajo. El problema se presenta desde que la Ley 21.018 modificó la competencia de los juzgados del trabajo, con el objeto de permitir las demandas de las víctimas en calidad de herederos. No obstante, subsisten problemas a la hora de comparar el régimen procesal con las discusiones sobre la naturaleza y el concepto del daño moral en materia de responsabilidad civil.
Low Back Pain Among Students of Medical University of Tunis
Authors: Boussaid Soumaya , Daldoul Cyrine , Rekik Sonia , Jammali Samia , Cheour Elhem , Sahli Hela , Elleuch Mohamed
Published: August 2022

Objective:

Low Back Pain (LBP) is the most common musculoskeletal disorder among working adults. It is one of the most prevalent complaints among students. Medical students are among those who are most exposed to this condition; due to stress, numerous hours of studying, and the sedentary lifestyle. Our study aimed to determine the prevalence and associated factors of LBP among the students of Tunis Faculty of Medicine and to assess its impact on student life.

Methods:

This cross-sectional study was carried out on the Tunis Faculty of Medicine students. Data were collected through an online self-administered questionnaire. Sociodemographic, person-al, and lifestyle characteristics were collected. LBP was assessed using the Nordic Musculoskeletal Health Questionnaire and Its impact using the Oswestry Disability Index (ODI).

Results:

One hundred and forty-eight students were included. The mean age was 22.9 ± 2.3 years (19.64-38.21). The sex ratio was 0.29. According to the Nordic questionnaire, the point, annual and lifetime prevalence of LBP were 37.8%, 80.4%, and 90.5%, respectively. The mean ODI score was 10.32 ± 8.48 % (0-32). The ODI score was minimal in 87.3% and moderated in 12.7% of cases. The associated factors with LBP were: young age (p = 0.015), spending more than 4 hours in a sitting position (p = 0.059), second cycle of medical studies (p = 0.006), low screen projection in the am-phitheater (p = 0.029) and poor layout of the amphitheatres (p = 0.000). The feeling of depression was significantly higher among LBP students (p = 0.018). In the multivariate analysis, the factors that remained statistically significant were the second cycle of medical studies (OR= 3.41), feeling of depression (OR = 3.7), and the belief in the responsibility for the poor layout of the amphithea-ters in the genesis or maintenance of LBP (OR = 7.66).

Conclusion:

LBP in medical students is multifactorial across both personal and college-life domains.
Gut-Brain Axis and Neurological Disorders-How Microbiomes Affect our
Mental Health
Authors: Bhatia Nirav Yogesh , Jalgaonkar Manjiri Prabhakar , Hargude Anuja Balu , Sherje Atul P. , Oza Manisha Jignesh , Doshi Gaurav Mahesh
Published: August 2022

The gut microbiota is an essential part of the gastrointestinal tract and recent research, including
clinical and preclinical studies, shed light on the interaction between the gut and the brain. A
rising amount of evidence strongly proves the involvement of gut microbes in brain function and their
contribution in altering behavior, mood, and ultimately in the pathogenesis of certain neurological
conditions. The gut microbiota produces and modulates neurotransmitters such as GABA, serotonin,
dopamine, glutamate, etc. Furthermore, there is a presence of a biological link between the microbiota,
immune signaling, and CNS suggesting that microbial metabolites could regulate both neurological
and immunological activities in the brain. Thus, this review focuses on the bidirectional communication
between the gut and brain, its impact and role in the modulation of various neurological disorders,
such as schizophrenia, depression, anxiety, etc., and attempts to explore the underlying mechanism for
the same. The article also discusses studies involving germ-free mice, studies on the effects of faeces
transfer of microbiota, and research involving gut microbiota composition in animal models. The effects
of probiotics and prebiotics on neurological disorders are also discussed, along with the clinical
studies for each of them. In a nutshell, extensive studies are required to explore this bidirectional
communication between the gut and brain, which might help researchers develop new therapeutic targets
in treating neurological disorders and increase our understanding of the gut-brain axis.
Transbuccal vs. Intraoral Approach using an Angulated Screwdriver in Fixation of a Mandibular Angle Fracture
Authors: Elsayed Shadia Abdel-Hameed , Reda Hanan Mohamed , Awadd Maiada Mohammed , Mourad Samah Ibrahim , Shokeir Hanan MR , Elsayed Emad Hussein , Al-Moraissi Essam A
Published: August 2022

Objectives:

This study aimed to evaluate surgical stability and cosmetic outcomes in patients with mandibular angle fractures (MAFs) using an angled screwdriver (ASD) versus transbuccal trocar (TBT) for single locking plate fixation.

Methods:

A prospective cohort clinical study was done on 44 male patients (88%) and 6 (12% females patients with MAFs, categorized into 2 groups. Group A patients were treated with strictly intraoral vestibular incision using an angulated screwdriver; group B was treated with TBT. Both groups placed a single locking 2.0 mm mini-plates at the inferior border. The main outcome variables were the perioperative complication rate.

Results:

There were no statistical differences between both groups regarding postoperative wound dehiscence, screw or/and plate looseness, infection rate, and inferior dental nerve injury. The study (ASD) approach took 28.10±3.3minutes, while the TBT approach took 37.40±1.75minutes, indicating a highly significant difference in operating time (P=0.001). Post-operative edema had decreased significantly in the ASD group.

Conclusion:

According to the present results, a strictly intraoral approach for ASD enabled stable fixation of MAFs using a single mini-locking plate. This can significantly reduce operation time and postoperative edema and prevent extraoral scarring.
Knowledge, Awareness and Perception of Dental Stem Cell and Their Applications in Regenerative Medicine Among Professional Groups
Authors: Rahman Fazliny Abd. , Lin Chua Sy , Qing Choo Yun , Ying Chin Chuan , Vien Chuah Yee , Wei Chung Teck
Published: August 2022

Introduction:

Dental stem cell research has become an important field in regenerative medicine. Nevertheless, the depth of knowledge and awareness of dental stem cells remain vague among the professional groups in Malaysia. The objective of this study is to assess the level of knowledge and awareness of professional groups in Malaysia on dental stem cells and their applications in regenerative medicine.

Methods:

A descriptive cross-sectional survey was implemented using online and hard-copy questionnaires that was distributed among medical doctors, scientists, and dentists to assess the level of knowledge and awareness (n=157). The questionnaire consists of 3 sections consisting of demographics, knowledge assessment and perception among the professional groups. The data were analysed using SPSS analysis.

Results:

Results showed that professional groups in Malaysia were knowledgeable and aware of dental stem cells and their application. Majority of the respondents were dentists (41.91%), followed by medical doctors (35.29%) and scientists (22.79%). 50.74% of respondents were unsure about the similar characteristics between dental stem cells (DSCs) and bone marrow mesenchymal stem cells (BMMSCs). Most respondents were aware of the derivation of DSCs from pulp and periodontal ligament (PDL) tissues (77.21%) and that DSCs are considered an adult stem cell source (51.11%). Most respondents were familiar with the characteristics of DSCs. They were aware that DSCs have the unique ability to self-renew and differentiate into trilineage differentiation (69.12%). They agreed that DSCs are an excellent cell resource for therapeutic approaches to neural repair and regeneration (63.24%). 63.24% of the respondents demonstrated a positive outcome for dental stem cell research. 59.56% of them would be willing to donate their extracted teeth for research. About 56.62% of respondents would conserve their teeth in stem cell banks and 52.94% are interested in investing in the stem cell industry.

Conclusion:

A high level of perception and awareness about dental stem cells and its application was noted among professional groups in Malaysia. They are supportive and willing to invest for dental stem cell research.
Early Postoperative Effect of Ripasudil Hydrochloride After Trabeculectomy on Secondary Glaucoma: A Randomized Controlled Trial
Authors: Mimura Tatsuya , Noma Hidetaka , Inoue Yuji , Kawashima Makoto , Kitsu Kazuma , Mizota Atsushi
Published: August 2022

Purpose:

To evaluate the effect of Rho-associated kinase inhibitor (ripasudil hydrochloride hydrate; ripasudil) eye drops on postoperative intraocular pressure (IOP) after trabeculectomy in eyes with uveitic glaucoma.

Design:

This was a prospective, observational, controlled, and randomized study.

Methods:

Sixteen eyes of 16 patients with uveitic glaucoma who underwent trabeculectomy without mitomycin C were randomly treated without ripasudil (8 eyes) and with ripasudil (8 eyes). Postoperative IOP and surgical outcomes 3 months after surgery were compared between the two groups.

Results:

No patient discontinued treatment due to the lack of efficacy or adverse effects of ripasudil during the 3-month study period in the ripasudil group. The mean IOP (mmHg) in the control and ripasudil groups were 42.5 ± 9.8 mmHg /43.9 ± 11.7 mmHg (p = 0.82) at baseline, 14.3 ± 4.9 mmHg /9.0 ± 3.7 mmHg (p = 0.04) at 1 week, 16.3 ± 4.2 mmHg /10.6 ± 3.0 mmHg (p = 0.01) at 1 month, and 16.0 ± 3.4 mmHg /12.5 ± 2.3 mmHg (p = 0.04) at 3 months. The number of laser suture lysis procedures (2.0 ± 0.5 vs 0.4 ± 0.7), the rate of bleb revision by needling (50.0% vs 0.0%), and the mean number of antiglaucoma medications (1.6 ± 1.5 vs. 0.1 ± 0.3) after trabeculectomy were higher in the control group than in the ripasudil group (all p < 0.05). A multivariate analysis showed that the IOP reduction rate at 3 months after surgery was associated with the use of ripasudil and baseline IOP (all p < 0.05).

Conclusion:

This study demonstrated the therapeutic efficacy, safety, and tolerability of ripasudil for 3 months postoperatively. Ripasudil may effectively reduce postoperative IOP and increase the success rate of trabeculectomy in patients with uveitic glaucoma.
Trends in DNN Model Based Classification and Segmentation of Brain Tumor Detection
Authors: Kataria Pooja , Dogra Ayush , Sharma Tripti , Goyal Bhawna
Published: August 2022

Background:

Due to the complexities of scrutinizing and diagnosing brain tumors from MR images, brain tumor analysis has become one of the most indispensable concerns. Characterization of a brain tumor before any treatment, such as radiotherapy, requires decisive treatment planning and accurate implementation. As a result, early detection of brain tumors is imperative for better clinical outcomes and subsequent patient survival.

Introduction:

Brain tumor segmentation is a crucial task in medical image analysis. Because of tumor heterogeneity and varied intensity patterns, manual segmentation takes a long time, limiting the use of accurate quantitative interventions in clinical practice. Automated computer-based brain tumor image processing has become more valuable with technological advancement. With various imaging and statistical analysis tools, deep learning algorithms offer a viable option to enable health care practitioners to rule out the disease and estimate the growth.

Methods:

This article presents a comprehensive evaluation of conventional machine learning models as well as evolving deep learning techniques for brain tumor segmentation and classification.

Conclusion:

In this manuscript, a hierarchical review has been presented for brain tumor segmentation and detection. It is found that the segmentation methods hold a wide margin of improvement in the context of the implementation of adaptive thresholding and segmentation methods, the feature training and mapping requires redundancy correction, the input data training needs to be more exhaustive and the detection algorithms are required to be robust in terms of handling online input data analysis/tumor detection.
The Assessment of Community Knowledge and Prevention Practices of Malaria in a Rural Community in South Africa
Authors: Tshivhase Shonisani , Mashau Ntsieni S. , Munyai Livhuwani
Published: August 2022

Background:

Malaria is a serious public health problem in sub-Saharan Africa and affects the health and wealth of nations and of individuals. Malaria became a public health issue killing more than 627 000 people in sub-Saharan Africa. In South Africa, Malaria is endemic in 3 provinces namely: Limpopo, Mpumalanga, and Kwazulu Natal. Limpopo contributes more cases than the other provinces in the country.

Objective:

The study assessed the knowledge and preventive practices regarding malaria in a rural community in South Africa.

Methodology:

A quantitative cross-sectional study was conducted using systematic probability sampling to select 151 household members. All the households in each village were visited and the head of each household was interviewed. Data was collected through close-ended questionnaires and analysed through the Statistical Package for Social Science version 24. The analysed data is presented in tables, graphs, and percentages.

Results:

The findings revealed that most participants 103(67.8%) have secondary education, and all (100%) had heard about malaria. The main source of malaria information was nurses 48%. Most participants knew that malaria is transmitted through mosquito bites (86%) by an infected mosquito (77%.%). About 63% of the participants knew the basic signs of malaria such as headache, shivering, and high fever. About 59 (39%) said they used mosquito coils and wore long-sleeved clothes in their household to avoid mosquito bites.

Conclusion:

Malaria poses a threat to the lives of people living in malaria-endemic areas. Community members of Masisi Village know how malaria is transmitted, what causes it, and its signs and symptoms. However, malaria prevention practice is still cited as a public health challenge. Therefore, health education should emphasize methods of malaria prevention and control.
An In-silico Approach: Design, Homology Modeling, Molecular Docking,
MM/GBSA Simulations, and ADMET Screening of Novel 1,3,4-oxadiazoles
as PLK1inhibitors
Authors: Revanasiddappa BC  , Malkaje Sindhya , Srinivasa Mahendra Gowdru , Deshpande N Shridhar , Navada Suharsha
Published: August 2022

Background:

Breast cancer is the most commonly diagnosed and major cause of
cancer-related deaths in women worldwide. Disruption of the normal regulation of cell cycle
progression and proliferation are the major events leading to cancer. Human Polo-like Kinase 1
(PLK1) plays an important role in the regulation of cellular division. High PLK1 expression is
observed in various types of cancer including breast cancer. 1,3,4-oxadiazoles are the fivemembered
heterocycles, that serve as versatile lead molecules for designing novel anticancer agents
and they mainly act by inhibiting various enzymes and kinases.

Objective:

A novel series of 1,3,4-oxadiazole derivatives (A1-A26) were designed and subjected to
an in-silico analysis against PLK1 enzyme (PDB ID:1q4k), targeting breast cancer.

Methods:

The chemical structure of each compound (A1-26) was drawn using ChemDraw
software. The 3D structure model of protein target (PDB ID:1q4k) was built using the SWISSMODEL
server. Molecular docking simulation was performed to determine the designed
compound’s probable binding mode and affinity towards the protein target (PDB ID:1q4k). The
designed compounds were subjected to ADME screening, as well as Prime MM/GBSA
simulations using Schrodinger suite 2020-4. Furthermore, the safety profile of compounds was
examined through the OSIRIS property explorer program and the results were compared with the
standard drugs, 5-fluorouracil and cyclophosphamide.

Results:

Based on the binding affinity scores, the compounds were found selective to target protein
1q4k through hydrogen bonding and hydrophobic interactions. The compounds A11, A12, and
A13 were found to have higher G scores and binding free energy values. The ADME screening
results were also found to be within the acceptable range. Moreover, the in-silico toxicity
prediction assessments suggest that all designed compounds have a low risk of toxicity, and
have higher efficiency for the target receptor.

Conclusion:

The study showed that the substitution of electron-donating groups at the various
position of the aromatic ring, which is bonded at the second position of the substituted 1,3,4-
oxadiazole nucleus resulted in compounds with good binding energy and G score compared to the
standard drugs, and hence, they can be further developed as potent PLK1 enzyme inhibitors.
The First Asynchronous Online Evidence-Based Medicine Course for Syrian Health Workforce: Effectiveness and Feasibility Pilot Study
Authors: Kenjrawi Yazan , Dashash Mayssoon
Published: August 2022

Background

Evidence-based medicine (EBM) is critical for providing the best scientifically proven patient health care, and it is implemented worldwide in order to improve the quality of the delivered health care. However, not all Syrian health professionals are knowledgeable about the importance, methodology, and implementation of EBM. Providing web-based learning courses on EBM might be effective in improving the EBM knowledge of health care professionals.

Objective

This study was performed to test the effectiveness and the feasibility of an asynchronous web-based course on EBM in improving the competencies of Syrian health care professionals in terms of EBM.

Methods

A web-based course on EBM was developed in Arabic and uploaded onto the Syrian Virtual University platform. An electronic registration form was designed and distributed to medical groups on social media for registration to this web-based course. Both the pretest and posttest had the same 3 sections to measure the impact of this web-based EBM program on the knowledge, skills, and attitudes of the Syrian health care professionals. The posttest had an additional section for measuring the efficacy and ease of use of this program. Student paired 1-tailed t test was used to analyze the differences in the different assessment sections among the participants.

Results

Nineteen participants filled the electronic registration form, but 8 participants did not meet the inclusion criteria. Therefore, the pretest was sent to the remaining 11 participants (7 men and 4 women) who graduated from Syrian universities. Ten of them completed the pretest, while 7 of them completed the posttest. The web-based course was found to be effective in improving the participants’ EBM knowledge, skills, and attitudes at P>.05. Further, the web-based EBM course was feasible and easy-to-use.

Conclusions

In order for EBM to be implemented in Syria, continuous medical education training programs should be designed for clinical practitioners. Our study shows that asynchronous web-based medical education is an effective and a feasible means for introducing the concept of EBM, improving practitioners’ skills, and promoting the positive attitudes of Syrian clinical practitioners toward EBM.
Examining Homophily, Language Coordination, and Analytical Thinking in Web-Based Conversations About Vaccines on Reddit: Study Using Deep Neural Network Language Models and Computer-Assisted Conversational Analyses (Preprint)
Authors: Li Yue , Gee William , Jin Kun , Bond Robert
Published: August 2022

BACKGROUND

Vaccine hesitancy has been deemed one of the top 10 threats to global health. Antivaccine information on social media is a major barrier to addressing vaccine hesitancy. Understanding how vaccine proponents and opponents interact with each other on social media may help address vaccine hesitancy.

OBJECTIVE

We aimed to examine conversations between vaccine proponents and opponents on Reddit to understand whether homophily in web-based conversations impedes opinion exchange, whether people are able to accommodate their languages to each other in web-based conversations, and whether engaging with opposing viewpoints stimulates higher levels of analytical thinking.

METHODS

We analyzed large-scale conversational text data about human vaccines on Reddit from 2016 to 2018. Using deep neural network language models and computer-assisted conversational analyses, we obtained each Redditor’s stance on vaccines, each post’s stance on vaccines, each Redditor’s language coordination score, and each post or comment’s analytical thinking score. We then performed chi-square tests, 2-tailed t tests, and multilevel modeling to test 3 questions of interest.

RESULTS

The results show that both provaccine and antivaccine Redditors are more likely to selectively respond to Redditors who indicate similar views on vaccines (P<.001). When Redditors interact with others who hold opposing views on vaccines, both provaccine and antivaccine Redditors accommodate their language to out-group members (provaccine Redditors: P=.044; antivaccine Redditors: P=.047) and show no difference in analytical thinking compared with interacting with congruent views (P=.63), suggesting that Redditors do not engage in motivated reasoning. Antivaccine Redditors, on average, showed higher analytical thinking in their posts and comments than provaccine Redditors (P<.001).

CONCLUSIONS

This study shows that although vaccine proponents and opponents selectively communicate with their in-group members on Reddit, they accommodate their language and do not engage in motivated reasoning when communicating with out-group members. These findings may have implications for the design of provaccine campaigns on social media.
Coach-Supported Versus Self-guided Digital Training Course for a Problem-solving Psychological Intervention for Nonspecialists: Protocol for a Pre-Post Nested Randomized Controlled Trial (Preprint)
Authors: Mathur Sonal , Weiss Helen A , Neuman Melissa , Field Andy P , Leurent Baptiste , Shetty Tejaswi , J James E , Nair Pooja , Mathews Rhea , Malik Kanika , Michelson Daniel , Patel Vikram
Published: August 2022

BACKGROUND

Psychosocial interventions delivered by nonspecialists can be effective at reducing common adolescent mental health problems in low-resource settings. However, there is a lack of evidence on resource-efficient methods for building capacity to deliver these interventions.

OBJECTIVE

The objective of this study is to evaluate the effects of a digital training (DT) course, delivered in a self-guided format or with coaching, on nonspecialists’ competency to deliver a problem-solving intervention intended for adolescents with common mental health problems in India.

METHODS

We will conduct a pre-post study with a nested parallel, 2-arm, individually randomized controlled trial. The study aims to recruit 262 participants, randomized 1:1 to receive either a self-guided DT course or a DT course with weekly individualized coaching provided remotely by telephone. In both arms, the DT will be accessed over 4 to 6 weeks. Participants will be nonspecialists (ie, without prior practice-based training in psychological therapies) recruited from among university students and affiliates of nongovernmental organizations in Delhi and Mumbai, India.

RESULTS

Outcomes will be assessed at baseline and 6 weeks post randomization using a knowledge-based competency measure that incorporates a multiple-choice quiz format. The primary hypothesis is that self-guided DT will lead to increased competency scores among novices with no prior experience of delivering psychotherapies. The secondary hypothesis is that digital training with coaching will have an incremental effect on competency scores compared with DT alone. The first participant was enrolled on April 4, 2022.

CONCLUSIONS

The study will address an evidence gap on the effectiveness of training methods for nonspecialist providers of adolescent mental health interventions in low-resource settings. The findings from this study will be used to support wider efforts to scale up evidence-based mental health interventions for young people.

CLINICALTRIAL

ClinicalTrials.gov NCT05290142; https://clinicaltrials.gov/ct2/show/NCT05290142

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/41981
Correction: The Facilitation of Clinical and Therapeutic Discoveries in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Related Diseases: Protocol for the You + ME Registry Research Platform (Preprint)
Authors: Ramiller Allison , Mudie Kathleen , Seibert Elle , Whittaker Sadie
Published: August 2022

UNSTRUCTURED

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic, complex, heterogeneous disease that affects millions and lacks both diagnostics and treatments. Big data, or the collection of vast quantities of data that can be mined for information, have transformed the understanding of many complex illnesses, such as cancer and multiple sclerosis, by dissecting heterogeneity, identifying subtypes, and enabling the development of personalized treatments. It is possible that big data can reveal the same for ME/CFS. This study aims to describe the protocol for the You + ME Registry, present preliminary results related to participant enrollment and satisfaction, and discuss the limitations of the registry as well as next steps. We developed and launched the You + ME Registry to collect longitudinal health data from people with ME/CFS, people with long COVID (LC), and control volunteers using rigorous protocols designed to harmonize with other groups collecting data from similar groups of people. As of September 30, 2021, the You + ME Registry had over 4200 geographically diverse participants (3033/4339, 69.9%, people with ME/CFS; 833/4339, 19.2%, post–COVID-19 people; and 473/4339, 10.9%, control volunteers), with an average of 72 new people registered every week. It has qualified as “great” using a net promotor score, indicating registrants are likely to recommend the registry to a friend. Analyses of collected data are currently underway, and preliminary findings are expected in the near future. The You + ME Registry is an invaluable resource because it integrates with a symptom-tracking app, as well as a biorepository, to provide a robust and rich data set that is available to qualified researchers. Accordingly, it facilitates collaboration that may ultimately uncover causes and help accelerate the development of therapies. Clinical Trials: ClinicalTrials.gov NCT04806620; https://clinicaltrials.gov/ct2/show/NCT04806620

DERR1-10.2196/36798
Effect of salt concentration on the properties of electrolyzed reducing water (ERW) and electrolyzed oxidizing water (EOW): an empirical correlation study
Authors: Prasakti Laras , Yogihaz Billy Dion , Subekti Lukman , Sujarwo Anton , Prasetya Agus
Published: August 2022

This research aimed to examine the effect of NaCl concentration on the pH and Oxidation Reduction Potential (ORP) values of both EOW and ERW products. The experiment was conducted using distilled water. The electrolysis apparatus consisted of anode and cathode chambers. The chambers were connected by a tube filled with a cotton (or a fabric). Both electrodes (anode and cathode) were made of titanium and formed as a spiral. Electrolysis was performed for 780 minutes, and the pH and ORP values of both EOW and ERW were measured every time. Sodium chloride concentration was varied for 0, 100, and 200 ppm. Experimental results revealed that the higher the NaCl concentration, the higher ERW’s pH rise and the lower the EOW’s pH. Similar results were found for ORP. ERW’s ORP was lowered while EOW’s ORP rose with the increase in NaCl concentration. This study could also generate a mathematical model that correlates pH and time during the electrolysis process. The model was developed by connecting with a simple polynomial. A similar approach was used to develop the model that correlates pH and ORP value.
Analytical Study of Cylindrical Imploding Strong Shock in a Uniform Real Dusty Gas
Authors:   Department of Physics, Bareilly College, Bareilly-243001 U.P. (India), GANGWAR P. K. , SINGH Y. ,   Department of Physics, K.G.K. P.G. College, Moradabad, U.P. (India), KUMAR D. ,   Department of Physics, S.L. Education Institute, Moradabad, U.P. (India)
Published: August 2022

In the present study, we have investigated the motion of cylindrical imploding shock in a real dusty gas having uniform initial density distribution by using (CCW) Chester2 -Chisnell3 -Whitham (1958) method. It is considered that the real dusty gas is the mixture of real gas and a large number of small spherical solid particles of uniform size. Initial volume fraction of the solid particles is also assumed constant in this particular study. The particles do not interact with each other therefore their thermal motion is negligible. Initial density of the medium is taken to be constant and medium ahead of the shock front is at rest with small counter pressure. Here the particles behave like a pseudo-fluid. Maintaining the equilibrium flow condition in the flow field, the analytical expressions for the shock velocity, shock strength, pressure, and flow velocity have been derived. The variation of flow variables with propagation distance (r), mass concentration of solid particles in the mixture (kp) and the ratio of the density of solid particles to the initial density of gas (G) are obtained and discussed through figures. The results accomplished are compared with those for dusty ideal gas Yadavet, al. 28
Analysis of Intelligent Campus Construction in 2.0 Era of Educational Informatization
Authors: Liu Jinzhao
Published: August 2022

The construction of university informatization in China has already entered the 2.0 era. It requires universities to explore a new way of thinking when strengthening campus construction. At present, colleges and universities have found a new construction direction of “smart campus construction”. On the basis of drawing lessons from the construction experience of “smart campus” pilot schools, they are gradually improving the construction method of smart campus. The achievements of some colleges and universities are not ideal. This affects the actual quality of smart campus construction. Therefore, colleges and universities should take educational informationization 2.0 as the basic guidance when embarking on the innovative development path of intelligent education. The bright future of the smart campus construction will be revealed by exploring the smart campus construction methods that meet the requirements of The Times. This provides sufficient practical reference for the innovation and development of intelligent education in colleges and universities.
EFFECT OF DIFFERENTIATED INSTRUCTION ON ACHIEVEMENT OF LOW MATHEMATICS ACHIEVERS IN PRIMARY SCHOOLS IN ABUJA, NIGERIA
Authors: NGOZI IGBO JANET , SOLOMON OJONUGWA DOMINIC
Published: August 2022

This article examined the effect of two teaching strategies and mathematics achievement on low achievers in Nigeria. Three purposes and three null hypotheses were used. A quasi-experimental research design was used for the study. The sample size for the study consists of 146 (66 males and 80 females) identified low mathematics achievers drawn from six intact classes. The researchers used multi-stage sampling technique. In collecting data, validated Mathematics Achievement Test (MAT) was applied. Internal consistency of the instrument was confirmed.  Reliability was determined using Kuder-Rechardson formula 20 (K-R 20) with the estimate of 0.89. The pre-test and post-test data were analyzed and hypotheses tested.  Findings of the study revealed that the use of differentiated instruction (DI) in teaching low mathematics achievers in primary school improved the achievement in mathematics more than the control or dictated strategy (F=19.321, P<0.05); the impact of male and on low mathematics achievers was not significant (F= 2.176, P>0.05). The reciprocal action of the teaching methods in relation to male and female low mathematics achievers was not significant (F=1.584, P>0.05). Based on these Findings, differentiated instruction is an effective teaching method for improving the achievement of low mathematics achievers.
THE ROLE OF PARENTS AND TEACHERS IN ADOLESCENT DEVELOPMENT: A CASE STUDY OF CONSTRAINTS TO EFFECTIVE DISCIPLINE AMONG HIGH SCHOOL STUDENTS IN AWKA, NIGERIA
Authors: NNOROM STANLEY U. , UGOCHUKWU AGOGBUA VICTOR , HIMEZIE MBONU VICTORIA , ABUCHI EZENWAGU STEPHEN
Published: August 2022

The study was designed to investigate the constraints to the effective discipline of secondary school students in Awka South Local Government Area of Anambra state. The survey design was adopted for the study. Five research questions guided the study. The population of the study comprised 1320 teachers. A simple random sampling technique was used to select 150 respondents for the study. The instrument for data collection was a structured questionnaire titled “Constraints to Effective Discipline of Secondary School Student Questionnaire (CEDSSSQ).” The instrument was face validated by three specialists, two from Educational Management and Policy and one from Educational Measurement and Evaluation, all in the Faculty of Education, Nnamdi Azikiwe University, Awka. The questionnaire was trail-tested using Pearson Product Moment Correlation and was used to determine the reliability coefficient of the instrument and this yielded a reliability coefficient (0.74). Data were analyzed using frequency means to answer the research questions. Based on the findings, it was revealed that discipline problems encountered in secondary schools include: Truancy, stealing, assault on school prefects, absenteeism, fighting, and examination malpractice, among others. It was recommended, among others, that in order to stem indiscipline, specific disciplinary actions should be meted out against undisciplined students to discourage others from being unruly.
Clinical manifestations and healthcare utilization before diagnosis of transthyretin amyloidosis
Authors: Nativi-Nicolau Jose , Fine Nowell M , Ortiz-Pérez José Thomás , Brown Duncan , Vera-Llonch Montserrat , Reddy Sheila R , Chang Eunice , Tarbox Marian H
Published: August 2022

Introduction:
Initial clinical manifestations of transthyretin amyloidosis (ATTR) are not well understood, making timely diagnosis challenging.
Methods:
Patients aged ≥68 years newly diagnosed with ATTR were identified using Medicare Research Identifiable Files. Symptom manifestation and healthcare utilization were measured during 3 years pre-diagnosis; demographics and comorbidity index during 1-year pre-diagnosis. Controls (ATTR-free) were matched 1:1 to patients with ATTR based on age, sex and region; same index date and enrollment as match.
Results:
We identified 552 matched ATTR-control pairs: mean age 78.3 (standard deviation 6.3) and 64.5% male. Among patients with ATTR (vs controls), cardiovascular conditions (92.9 vs 75.9%) and hospitalization (54.0 vs 35.5%) were frequent during 3 years pre-diagnosis.
Conclusion:
Patients with ATTR have multiple symptoms and hospitalizations pre-diagnosis, recognition of which may facilitate earlier diagnosis and treatment.
Cultura salinera en la Puna atacameña
Authors: Morales Héctor , Andrade Felipe
Published: August 2022

The purpose of this work is to present the uses and beliefs of the salt environment of the population that inhabits the trinational Puna de Atacama and in particular in the Salar de Atacama. The ethnographic journey on practices and emotions are recorded and analyzed as a set of culturally relevant social relationships that unfold for different storms around salt with the pastoral, agricultural and mining way of life as a backdrop during the past century and the present.
Brain Tumor Classification Using Machine Learning Mixed Approach
Authors: Mhaske Supriya A. , Dhore M. L.
Published: August 2022

Abstract: In this paper, we propose an effective method using Machine learning for the classification of brain tumor tissues. For successful treatment correct and early detection of brain tumors is essential. Here proposed system is using Convolutional Neural Network for feature extraction and classification. In feature extraction, we reduce the number of features in the dataset by creating new features from the existing ones. Here we recognize the types of tissues using CNN. The pooling layer is used to reduce the spatial resolution of the feature maps. This layer brings down the number of parameters needed for image processing. This paper is focused on helping the radiologist and physician to have a second opinion on the diagnosis. These systems help specialists to perform tumor detection very easily. This study aims to diagnose brain tumors using MRI images.
Patient Monitoring Using Emotion Recognition
Authors: Suraj Ashish , Kaushik Amarnath S , Bai Kannika
Published: August 2022

Abstract: Due to technology improvements, recognising the patient's emotions using deep learning algorithms has gotten a lot of interest recently. Automatically detecting emotions can aid in the development of smart healthcare centers that can detect pain and tiredness in patients so that medication can be started sooner. One of the most fascinating themes is the use of advanced technology to discern emotions, as it defines the human-machine interaction. Various strategies were used to teach machines how to predict emotions. Recent research in the field of employing neural networks to recognise emotions will be used in our system. Our system focuses on recognising emotions from facial expressions and demonstrating several approaches for implementing these algorithms in the real world. Techniques for recognising emotions can be utilized as a surveillance system in healthcare canters to monitor patients.
Getting orthotropic deck plates involved in the structural performance of the bearing structures of bridges made of aluminum alloys
Authors: Korgin Andrey V. , Ermakov Valentin A. , Zeyd Kilani Leys Z.
Published: August 2022

Introduction. The article deals with getting an orthotropic deck plate, made of aluminum alloy EN-AW-6082 T6, involved in the structural performance of bearing structures of bridges; this type of plates is made by extruding composite plate elements, or hollow rods having closed rigid profiles of the pre-set shape, friction welding and mixing. These technologies are applied to make an orthotropic plate, a strong rigid metal structure that can be effectively integrated into the structural performance of bearing structures of a bridge superstructure to reduce the consumption of materials.

Materials and methods. The object of the study is a conventional single-span road bridge, which is 8.06 m long. The bridge has two bearing I-beams, five transverse I-beams and a deck made of four orthotropic plates placed perpendicular to the bridge axis. The numerical simulation of this structure was conducted to determine the numerical parameters of a change in the consumption of materials for various applications of orthotropic plates in bridge deck structures. The ANSYS software package was employed to simulate the following three models: a model in which orthotropic plates were not involved in the structural performance; a model that had orthotropic plates involved in the structural performance, and a model that had optimized geometric dimensions of sections of principal bearing beams and plates involved in the structural performance.

Results. The calculation results are provided in the form of diagrams of stresses and deflections along the bearing beams, the diagram of stresses in the cross-sections of bearing beams in the middle of the bridge span. Compared results of various calculation patterns are also provided. The amount of metal saved goes down with an 8–24 m increase in the span length, and it reaches 25–7 %, respectively.

Conclusions. The authors present their research findings, evaluate the effectiveness of this approach applied to the design of bridge structures, and make a conclusion about the spans of structures that make this approach most effective.
A study on the wave reflection coefficient near berthing facilities
Authors: Shunko Natalia V. , Zuev Nikolai D.
Published: August 2022

Introduction. The article deals with the experimental studies on values of the wave reflection coefficient near the structures of berthing facilities with a front vertical wall. The authors present the findings of experimental studies conducted in the form of physical modeling. Materials and methods. The method of physical modeling was employed to conduct the experimental studies. These studies are an integral part of the research project that benefits all modern large marine cargo facilities being designed. The method of physical modeling, applied to port facilities, allows obtaining a model wave, identical to that of a full-scale object, and studying interaction between waves and designed hydraulic engineering structures within a pre-set time range. Experiments were conducted in a wave flume of the Hydraulic Engineering Centre for Research and Experiments at NRU MGSU. The most advanced measuring equipment, produced by Wallingford (UK), was used in the experiment. Results. As a result of the experiment, the authors obtained values of the coefficient of reflection of waves near a berthing facility with a vertical front wall (the bulwark type of the berthing structure), subjected to the impact of a standard storm. The main Russian regulatory document, SP (Construction regulations) 38.13330.2018 doesn’t have information about the definition of the wave reflection coefficient for all types of hydraulic structures, and the information available there is not exhaustive. The availability of information about the exact values of the wave reflection coefficient for various types of hydraulic structures, such as berthing facilities, can reasonably reduce their elevation, that will ultimately lead to a substantial reduction in construction costs and time. Conclusions. The results of these scientific studies will ensure the successful implementation of the most recent designs of seaports, terminals and cargo complexes in unfavourable natural environments, including the harsh climate of Arctic latitudes, regions where raw hydrocarbons and liquefied natural gas are intensively extracted. This will help to solve the priority task of our time: construction of new transshipment facilities along the Northern Sea Route.