bluuebunny/crossref_metadata_2025 huggingface dataset:
Cardiovascular Manifestations in Inflammatory Bowel Disease
Authors: Reddy Meda Anish Kumar , Fredrick Fremita Chelsea , Rathod Urvashi , Shah Priyanshi , Jain Rohit
Published: November 2023

Inflammatory bowel disease is a group of long-term systemic inflammatory disorders
affecting the gastrointestinal tract, including Crohn's disease and ulcerative colitis, which may be
associated with an increased risk of developing extraintestinal manifestations, including cardiovascular
disease, thereby decreasing the quality of life. Pathophysiological changes associated
with inflammatory bowel disease include alterations of the microbiome, endotoxemia, and
changes to glucose and lipid metabolism. Inflammatory bowel disease patients have higher carotid
intima-media thickness, lower flow-mediated dilatation, and increased carotid-femoral pulse
wave velocity, which are markers of elevated cardiovascular risk. In addition, inflammatory
bowel disease patients are at an increased risk for developing venous and arterial thrombotic
events due to a hypercoagulable state caused by thrombocytosis and coagulation system activation.
To reduce the risk of developing cardiovascular disease, lifestyle modifications, such as
smoking cessation, dietary changes, and increased physical activity alongside management with
appropriate medication, should be considered. This research paper examines how inflammatory
bowel disease can influence the risk of cardiovascular complications and the involvement of
drug therapy.

Methods:

PubMed was searched using keywords, such as inflammatory bowel disease, Crohn's
disease, ulcerative colitis, cardiovascular disease, pericarditis, thromboembolism, and many
more. Relevant literature up to March 2023 has been examined and summarized, which consisted
of data from various clinical trials, meta-analyses, retrospective/prospective cohort studies, and
current guidelines.
The Effect of Preparation Design on Stress Distribution in Lithium Disilicate Laminate Veneer using 3D Finite Element Analysis.
Authors: Abid Shahad Emad , Mohammed Kasim Gholam
Published: November 2023

Background:

A layer of ceramic bonded to the facial surfaces of prepared teeth to create a ceramic esthetic veneer, also known as a laminate veneer.

Objective:

This study aimed to examine the effect of preparation design on the stress distribution in lithium disilicate veneer at different angulations of masticatory loading.

Methods:

The finite element approach assessed the structure stress distribution. So, Exocad dental CAD was used to obtain the models, which consist of an upper central incisor in three dimensions (3D), and prepare them with the same software for an indirect veneer. The models were imported into software (SolidWorks; Dassault Systems) to construct solid models. The external load used in this study was 100 N at 60 degrees (intercuspal) and 125 degrees (protrusive) in the palatal surface, two mm below the incisal edge. The models were restored using e-max laminate veneers with different tooth preparation designs (palatal chamfer and window preparation designs). Analysis and calculations were performed on the stress distributions and maximum stress values of the tooth structures, cement layer, and laminate veneer.

Results:

With a window preparation design, the maximum stress values in the tooth and laminate veneer were higher. In the palatal chamfer design, stresses were dispersed more consistently through the cement layer and laminate veneer. Higher stress was generated by protrusive movement than by intercuspal movement.

Conclusion:

Compared to window preparation, the palatal chamfer design for lithium disilicate laminate veneer showed a more favourable stress distribution. Regardless of the preparation design, maximum stress values were observed in the cervical and incisor areas of the tooth structure.
Latest Evidence on Orthognathic Surgery Techniques and Potential Changes in Oral Microbiota related to Intermaxillary Fixation in Orthodontic Patients: A Systematic Review
Authors: Pellegrini Matteo , Nardi Maria Gloria , Pulicari Federica , Scribante Andrea , Garagiola Umberto , Spadari Francesco
Published: November 2023

Background:

Orthognathic surgery is often applied for the correction of facial dysmorphia, and different findings were highlighted regarding the techniques applied. After surgical treatment, intermaxillary fixation is placed, which compromises oral hygiene and, consequently, can lead to increased plaque accumulation and microbiological changes, promoting the proliferation of periodontopathogenic bacteria. Therefore, the aims of the present review are to describe the main evidence from the last 20 years of clinical studies concerning surgical techniques applied to orthognathic surgery and, finally, to analyze potential changes in the oral microbiota.

Materials and Methods:

An electronic search was conducted in the PubMed (MEDLINE) and Scopus databases; the MeSH (Medical Subject Heading) terms are bacteria, dental plaque, evidence-based practice, maxillomandibular fixation, microbiota, operative procedures, and orthognathic surgery.

Results:

At the end of the search process, 31 relevant articles were finally included and analyzed in this systematic review, which has a low risk of bias. Clinical studies on humans have been considered in this review. Based on the studies included it would be preferable to use piezoelectric technology in osteotomies because of its many advantages, “surgery-first” technique allows for results comparable to the standard technique in Class III malocclusions while improving quality of life more rapidly, the “mandible-first” technique seems to have more advantages than the “maxilla-first” technique, Computer-Aided Design and Manufacturing (CAD/CAM) could provide more accurate and precise results, and finally, Laser can be applied with different advantages. Regarding intermaxillary fixation, no long-term increase in the concentration of periodontal bacteria was recorded.

Conclusion:

Several findings still need to be confirmed with reference to the best suturing technique to reconstitute the nasal wing base, the real effectiveness of “surgery-first,” “maxilla-first,” and “mandible-first” approaches in patients with Class III malocclusion, the use of CAD/CAM and Laser, more studies should be conducted to evaluate quantitative and qualitative changes in other microorganisms following intermaxillary fixation.
Effect of Aging and Different Surface Treatments on Repair Bond Strength of Hybrid Resin Composites
Authors: Saleh Somaya Ali , Hashem Danya , Salem Reham Mohammed
Published: November 2023

Background:

With the trend for minimally invasive dentistry and the rapid evolution of composite resin materials, repair of defective composite resin restorations is a popular choice rather than replacement of the restoration. The durability of the bond between the old and repaired composite restoration is important for a successful outcome.

Objective:

To evaluate the immediate and delayed shear bond strength of two types of repaired hybrid resin composites using different chemical and mechanical surface treatments.

Methods:

Two types of hybrid resin composites, micro-hybrid resin composite and nanohybrid resin composite, were used to prepare 288 pre-polymerized resin composite specimens. After polymerization, repair was done after 24 hours and 6 months. Each hybrid resin composite group was divided into 3 groups according to surface treatment used to repair the substrate: group 1: no surface treatment, group 2: treated by medium abrasive stone, and group 3: treated by fine abrasive stone. Each group was further subdivided into 3 subgroups according to different agents used for repair: group 1: Silane, group 2: Universal adhesive, and group 3: Silane + adhesive. Shear bond strengths of the repaired specimens were measured using a Universal testing machine. Failure modes were evaluated under a stereomicroscope.

Results:

Different chemical and mechanical surface treatments had a significant effect on the shear bond strength values of all groups (p ≤ 0.05). The highest mean shear bond strength values were found in nano-hybrid composites immediately repaired by silane after treatment by a medium abrasive stone while the lowest mean shear bond strength values were found in micro-hybrid composites with delayed repair and no surface treatment.

Conclusion:

Diamond burs using silane with adhesive improved the repair bond strength of the tested hybrid composites. In composite repair, using abrasive mechanical pretreatment followed by adhesive conditioning is crucial for the success of the repair restoration.
Photogrammetric and Cephalometric Analyses of Ricketts' Esthetic Line in Malaysian Malay Adults: A Cross-sectional Study
Authors: Lepi Juliza Md , Mahmud Melati , Wah Lim Tong , Norman Noraina Hafizan
Published: November 2023

Objective:

To compare and correlate the Ricketts Esthetic Line measurement between photographs and lateral cephalogram. The norm for evaluating Ricketts' E-Line in the Malaysian Malay population is to be established.

Materials and Methods:

This was a cross-sectional study involving 126 pre-existing photographs and lateral cephalometric radiographs of skeletal Class I Malaysian Malay aged 19 to 40 recruited from the Orthodontic Clinic of Universiti Teknologi MARA (UiTM). Photogrammetric and cephalometric analyses of the upper and lower lips to Ricketts' E-line were performed. A paired t-test was performed to determine any statistically significant difference between the photographic and cephalometric variables. In addition, Pearson correlation was conducted to estimate the correlations between the photographic and cephalometric variables.

Results:

There was no significant difference between photographs and lateral cephalogram methods in the upper and lower lip to E-line measurement (p>0.05). For the photogrammetric analysis, the distance from the upper lip to the E-line was -0.30mm ±2.46, whereas the cephalometric analysis was -0.43mm ±2.63. The lower lip distance to the E-line for the photogrammetric analysis was 1.44mm ±2.8, whereas the cephalometric analysis was 1.24mm ±3.08. The Pearson correlation coefficient (r) for photographs and lateral cephalometric variables was close to 1 (0.914 and 0.898, respectively), indicating a robust positive correlation between the two variables.

Conclusions:

Photographic and cephalometric analysis can be used synonymously in measuring the Ricketts E line. Malaysian Malay has a more protrusive upper and lower lip to the E-line, compared to Caucasians, and the norm for the investigated population was established.
Anticancer Potential of Hemidesmus indicus-enriched Pt/Au Bimetallic
Nanoparticles against Human Breast and Skin Cancer Cell Lines
Authors: Bagal Vinay A. , Naresh Vijay , Disouza John I. , Mali Uma G. , Bhinge Somnath
Published: November 2023

Background:

Worldwide, cancer has become the most disastrous disease, causing an
enormous number of deaths in the population. According to GLOBOCON, in the year 2020, there
were 1.93 crore cases of cancer reported and 10 million deaths caused by cancer.

Methods:

Metallic nanoparticles, such as gold, silver, and platinum, which possess properties of bioenvironmental stability, safety, and lower toxicity, have become preferred materials for drug delivery. Bimetallic nanoparticles, in particular, have shown enhanced optical, magnetic, electrical, catalytic, and medicinal properties compared to monometallic nanoparticles. We have developed goldplatinum PtAuBNPs containing H. indicus methanolic extract using a green synthesis approach. The
PtAuBNPs were characterized by UV-visible spectroscopy, particle size analysis, zeta potential
measurement, and surface characteristics using TEM, XRD, Raman spectroscopy, and DSC. The
anticancer activity of PtAuBNPs was investigated using two distinctive cell lines, MCF-7 and
B16F10.

Results:

The change in the colour of the prepared systems after incubation indicated the development
of nanoparticles, as analysed by UV spectroscopy. The PtAuBNPs showed a particle size of 243.3
nm and a zeta potential of -14.4 mV. TEM analysis showed the hexagonal and cubic nature of the
nanoparticles. XRD analysis indicated the crystalline nature of the nanoparticles. The bimetallic
nanoparticles showed greater anticancer activity against the breast cancer cell line (MCF-7) and the
skin cancer cell line (B16F10), with IC50 values of 35.52µg mL-1and 30.22 µg mL-1, respectively,
which have been found to be lower than the standard 5-FU.

Conclusion:

The development of PtAuBNPs may pave the way for a new era of enhancing the anticancer activity of herbal extracts through the synergistic effects of gold and platinum metals. The
developed PtAuBNPs have been shown to exhibit excellent anticancer activity against skin and
breast cancer.
Short-Term Load Forecasting Based on CNN-Bilstm Considering Load
Time-Varying Trend Mapping
Authors: Ji Yuqi , Yan Yabang , Liu Xiaomei , He Ping , Li Congshan , Tao Yukun , Fan Jiale
Published: November 2023

Background::

Accurate short-term load forecasting is an important guarantee for the
safety, stability, economic and efficient operation of power systems.

Objective::

In order to effectively improve the forecasting accuracy, this paper proposes a hybrid
forecasting model of convolutional neural network (CNN) and bi-directional long short-term
memory (BiLSTM) neural network considering load time-varying trend mapping model (M).

Methods::

Firstly, the time-varying features of the load curve are analyzed, and a mapping model
is established to characterize the load time-varying trend. The features of the load time-varying
trend are extracted, and they are quantified into a mathematical model. Secondly, the feature set
is reconstructed through data migration. Then, the reconstructed feature set is input into the
CNN-BiLSTM hybrid model. In the hybrid model, CNN is used to extract the features from data
again to form a new feature vector, and then the feature vector is input into BiLSTM for forecasting.

Result::

The power load data set from the New England in United States is used to simulate and
verify the correctness and validity of the proposed method.

Conclusion::

With the comparison of the forecasting results between different load forecasting
models, the results show that the forecasting accuracy of the proposed method is higher and it is
verified that the load time-varying trend mapping method proposed can improve the forecasting
accuracy of different models in varying degrees.
Is It Safe to Take 650 mg of Paracetamol on a Regular Basis?
Authors: Kadiri Sunil Kumar , Uchil Deepika , Guruprakash Dhani Movuram , Sathavalli Dhritija , Singh Durgesh
Published: November 2023

:

The commonest medication to treat moderate to severe pain and fever in adults and children is paracetamol and it has been observed that there has been a rapid increase in the intake of
paracetamol-650 since the COVID-19 pandemic and it has continued to date. This analgesic and
antipyretic medication showed an increase of 150% in its consumption during the pandemic, simultaneously escalating its self-medication. Concerns have been expressed about the indirect advertising
of prescription medications, their illogical use, and improper self-medication, which has resulted in
overdose and certain serious side effects. Chronic pain and pyrexia are the most common symptoms
witnessed during the COVID-19 pandemic. The intake of paracetamol-650 has also been increased
as a prophylactic measure due to the widespread fear generated during COVID-19. The usage of
paracetamol has been shifted from 500 mg to 650 mg for mild and moderate pain and fever during
and after the end of the pandemic. This raises concerns about the misuse of paracetamol-650mg
which may cause damage to the liver, stomach, and kidney chronically. So, this review article aims
to generate awareness among the public and physicians about the rationale of paracetamol as an analgesic and antipyretic.
Evaluation of the Effect of Two Surface Treatment Methods on Shear Bond Strength between Porcelain Veneer and Two Different Zirconia Blocks
Authors: Barzegar Ali , Ghaffari Tahereh , Negahdari Ramin , Dizaj Solmaz Maleki , Saghari Reyhaneh
Published: November 2023

Introduction:

The aim of the study was to test the effect of two surface treatment methods on shear bond strength between a porcelain veneer and two different zirconia blocks.

Materials and Methods:

Sixty disk-shaped zirconia samples (30 samples of Novi brand and 30 samples of Rainbow brand) were used (diameter of 10 mm and thickness of 4 mm). Based on surface treatment, the samples were randomly divided into 3 groups: control, air-particle abrasion, and Zircos-E Etching Solution. Using the metal mold, the porcelain was veneered on the zirconia surface and then fired. Then, all samples were subjected to shear bond strength testing using a universal testing machine at a speed of 1 mm/min until breaking.

Results:

There was a statistically significant difference between the mean variable shear bond strength of the control group and two other groups, so the shear bond strength in the control group was less than in both groups. And there was no statistically significant difference between the mean variable of shear bond strength in the two groups of “airborne particle abrasion” and “Etching”. There was a statistically significant difference between the mean shear bond strength of the two types of zirconia samples and this amount was lower in Novi than in Rainbow. There was also no interaction between the type of surface preparation and the type of zirconia.

Conclusion:

It can be concluded that surface preparation with air particle abrasion and etching increases the shear bond strength of zirconia to porcelain veneer and the shear bond strength of zirconia and porcelain veneer is affected by the type of zirconia.
A Monte Carlo Assisted Simulation of Stochastic Molecular Dynamics for Folding of the Protein Crambin in a Viscous Environment
Authors: Taneri Sencer
Published: November 2023

In Chapter 3, we investigate the folding dynamics of the plant-seed protein Crambin
in a liquid environment, that usually happens to be water with some certain viscosity. To take
into account the viscosity, necessitates a stochastic approach. This can be summarized by a 2D-Langevin equation, even though the simulation is still carried out in 3D. Solution of the
Langevin equation will be the basic task in order to proceed with a Molecular Dynamics
simulation, which will accompany a delicate Monte Carlo technique. The potential wells, used
to engineer the energy space assuming the interaction of monomers constituting the protein-chain, are simply modeled by a combination of two parabola. This combination will
approximate the real physical interactions, that are given by the well known Lennard-Jones
potential. Contributions to the total potential from torsion, bending and distance dependent
potentials are good to the fourth nearest neighbor. The final image is in very good geometric
agreement with the real shape of the protein chain, which can be obtained from the protein data
bank. The quantitative measure of this agreement is the similarity parameter with the native
structure, which is found to be 0.91 < 1 for the best sample. The folding time can be
determined from Debye-relaxation process. We apply two regimes and calculate the folding
time, corresponding to the elastic domain mode, which yields 5.2ps for the same sample.
Vizualizing Branding: Metamorphosis of Advertising, Visual Strategies and Their Cultural Significance
Authors: Chatterjee Sushantika , Parihar Tasha Singh
Published: November 2023

The complicated interrelationship between advertising and visual culture is the subject of this research paper. It demonstrates the significant influence of visual culture on advertising and vice versa by investigating the historical history, theoretical foundations, and modern advertising practices. This research study offers important insights into the comprehensive nature of advertising and its role in influencing current visual culture through an exhaustive analysis of case studies and academic literature. The paper navigates through the evolutionary trajectory of advertising, spanning historical roots to contemporary paradigms, elucidating its symbiotic association with visual culture. The exploration encompasses an array of visual tools wielded by advertisers — ranging from imagery, symbols, aesthetics, and semiotics — highlighting their strategic deployment to engage audiences and manipulate cultural perceptions. Examining the moral issues raised by the persuasiveness of visual communication in advertising is at the heart of this study. This research examines visual persuasion's ethical ramifications and societal effects, critically evaluating its influence on forming collective awareness. Resorting to an extensive array of scholarly works and case studies, this study sheds light on the ever-changing advertising landscape. It examines cases in which advertising campaigns have left a lasting impression on visual culture with great care, demonstrating these media's significant impact on modern society. Essentially, this work unravels the complex relationship between advertising and visual culture, operating as a complete storehouse of information. It provides a deeper knowledge of how advertising shapes and is shaped by the visual world of our times, laying the groundwork for understanding the complex dynamics.
Learnings From Implementation of Technology-Enabled Mental Health Interventions in India: Implementation Report
Authors: Kallakuri Sudha , Gara Sridevi , Godi Mahesh , Yatirajula Sandhya Kanaka , Paslawar Srilatha , Daniel Mercian , Peiris David , Maulik Pallab Kumar
Published: November 2023

Background

Recent years have witnessed an increase in the use of technology-enabled interventions for delivering mental health care in different settings. Technological solutions have been advocated to increase access to care, especially in primary health care settings in low- and middle-income countries, to facilitate task-sharing given the lack of trained mental health professionals.

Objective

This report describes the experiences and challenges faced during the development and implementation of technology-enabled interventions for mental health among adults and adolescents in rural and urban settings of India.

Methods

A detailed overview of the technological frameworks used in various studies, including the Systematic Medical Appraisal and Referral Treatment (SMART) Mental Health pilot study, SMART Mental Health cluster randomized controlled trial, and Adolescents’ Resilience and Treatment Needs for Mental Health in Indian Slums (ARTEMIS) study, is provided. This includes the mobile apps that were used to collect data and the use of the database to store the data that were collected. Based on the experiences faced, the technological enhancements and adaptations made at the mobile app and database levels are described in detail.

Implementation (Results)

Development of descriptive analytics at the database level; enabling offline and online data storage modalities; customizing the Open Medical Record System platform to suit the study requirements; modifying the encryption settings, thereby making the system more secure; and merging different apps for simultaneous data collection were some of the enhancements made across different projects.

Conclusions

Technology-enabled interventions prove to be a useful solution to cater to large populations in low-resource settings. The development of mobile apps is subject to the context and the area where they would be implemented. This paper outlines the need for careful testing using an iterative process that may support future research using similar technology.

Trial Registration

SMART Mental Health trial: Clinical Trial Registry India CTRI/2018/08/015355; https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=MjMyNTQ=&Enc=&userName=CTRI/2018/08/015355. ARTEMIS trial: Clinical Trial Registry India CTRI/2022/02/040307; https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=NDcxMTE=&Enc=&userName=CTRI/2022/02/040307
Remote Delivery of the Cuidándome Telehealth Intervention for Self-Management of Depression and Anxiety Among Latina Immigrant Women: Randomized Controlled Trial
Authors: Alvarez Carmen , Aryal Subhash , Vrany Elizabeth , Sanchez R Maria Jose , Quiles Rosalphie , Escobar-Acosta Lia , Hill-Briggs Felicia
Published: November 2023

Background

Growing evidence suggests that Latina immigrant survivors of adverse childhood experiences (ACEs) are at increased risk for developing and remaining with either depression or anxiety or both symptoms. This study examined the feasibility and acceptability of a telehealth intervention—Cuidándome (quee-DAN-doh-meh, “taking care of myself”). Cuidándome is a 10-week, patient-centered, trauma-informed intervention delivered by a trained facilitator that promotes self-management of depression and anxiety symptoms through improved problem-solving skills and strategies.

Objective

The aim of this study was to examine the feasibility and acceptability of Cuidándome delivered remotely (via Zoom) with Latina immigrant ACE survivors with either depression or anxiety or both symptoms. We also estimated the effect sizes associated with the intervention on decreasing depression and anxiety symptoms and improving social problem–solving styles.

Methods

We evaluated Cuidándome using a randomized controlled trial design. Latina immigrants (N=47) who had experienced at least 1 ACE and had at least mild depression or anxiety symptoms were randomized to Cuidándome or a comparison group delivered by trained facilitators. We assessed for changes in depression and anxiety symptoms as well as social problem–solving styles at baseline, post intervention, and 3- and 6-month follow-up.

Results

Analyses indicated significant decreases over time within both Cuidándome and comparison groups for depression and anxiety symptoms and maladaptive problem-solving. The intervention effect was largest for anxiety; at 6-month follow-up, Cuidándome participants had significantly lower anxiety scores than the comparison group. In addition, we observed a greater average point reduction in depression symptoms at 6 months among Cuidándome participants (5.7 points) than in the comparison group (3.7 points).

Conclusions

A mental health program delivered via Zoom by a trained facilitator was feasible and acceptable to Latina immigrant women and can be beneficial for reducing anxiety and depression symptoms. More research is needed to assess the effectiveness of Cuidándome among a powered sample size of Latina immigrants.

Trial Registration

ISRCTN Registry ISRCTN16668518; https://www.isrctn.com/ISRCTN16668518
Методика оценки преимуществ применения светодиодной фитоленты в промышленных тепличных комплексах
Authors: Дегтерева М.М. , Левин Е. , Дегтерев А.Э. , Богданов А.А. , Лапкин И.А. , Тарасов С.А. , Сергеев П.А.
Published: November 2023

Выполнена оценка эффективности светодиодной фитоленты в области фотосинтетически активной радиации и проведено ее сравнение с альтернативными фитооблучателями, применяемыми в промышленных тепличных комплексах. Эффективность фитоленты в области фотосинтетически активной радиации составила 42%, что в 4,7 раза выше эффективности фитолампы полного спектра и в 4,4 раза выше эффективности люминесцентной лампы. Определены спектрально-­энергетические характеристики светодиодной фитоленты. Среднее значение плотности фотосинтетического фотонного потока, применимое для выращивания растений (≈ 300 мкмоль / м2 / с), достигается при снятии излучения с одного метра фитоленты на расстоянии ≈20 см от облучаемой области при пропускании через нее тока. Благодаря высокой эффективности, фитолента позволит улучшить рост различных классов сельскохозяйственных культур в автономных агропромышленных предприятиях, а также позволит снизить затраты на электроэнергию.
Tratamiento y reúso de agua residual municipal: Metodología para estimar el potencial de reúso en una región y evaluar el desempeño de plantas de tratamiento
Authors: Morgan Sagastume Juan Manuel , Morgan Martínez Carolina , Ramírez Higareda Benly Liliana , Noyola Robles Adalberto
Published: November 2023

Esta obra se enfocó en proponer una metodología para estimar el potencial de reúso de agua tratada en una región. Para ello, como punto de partida, se consideró necesario describir las técnicas, condiciones y factores que deben tomarse en cuenta para evaluar el estado operativo de las plantas de tratamiento de aguas residuales pertenecientes a la región seleccionada para el estudio. La propuesta metodológica estima la demanda de agua tratada en la agricultura, riego de áreas verdes, en la industria, en el lavado de automóviles y en las escuelas, entre otras actividades económicas sustentado ello con información de acceso público, lo que llega a facilitar enormemente la obtención de información. Un aspecto valioso de la metodología propuesta es que prescinde de la necesidad de recopilar información en campo en cuanto al consumo de agua en las industrias; información que muy a menudo las empresas no están dispuestas a proporcionar. En los capítulos 1 y 2 se hace una descripción de la situación general que impera en México en cuanto al reúso de agua tratada, así como las condiciones generales a tomar en cuenta para potenciar el uso de agua tratada. En seguida, en los capítulos 3 y 4 se detalla el procedimiento propuesto para estimar el potencial de reúso de agua tratada en una región alrededor de plantas de tratamiento de aguas residuales. En estos capítulos se hace referencia a los anexos del documento donde se podrán encontrar los formatos, tablas y procedimientos explicados para llevar a cabo el levantamiento técnico detallado de las plantas de tratamiento de aguas residuales, su evaluación y estimación de impactos ambientales y sociales mediante matrices de evaluación, entre otras cosas. Por último, ya en los capítulos finales, se desarrolla un ejemplo de aplicación de la metodología propuesta que abarca la Zona Metropolitana de Monterrey, Nuevo León, México en donde se seleccionaron 11 plantas para su evaluación con base en la información pública disponible.
Knowledge, Attitude and Practices Regarding Tuberculosis Infection Control Practices among Health Care Workers at Tertiary Care Centre, Rajnandgaon
Authors: Jethani Pawan , Kaur Surender , Khunte Prakash
Published: November 2023

Tuberculosis infectious disease owns highest burden of respiratory infection. India being the largest contributor to global Tuberculosis cases. Mycobacterium tuberculosis mode of transmission by respiratory route require airborne precautions to be strictly followed in healthcare settings to minimize the transmission. Research was plan to assess fundamentals of Tuberculosis infection control among healthcare workers. Questionnaire based cross-sectional study which included sociodemographic characteristics, with twenty-five questions on knowledge of Tuberculosis, attitude and practices for Tuberculosis infection control was conducted in Bharat Ratna Late Shri Atal Bihari Vajpayee Memorial Medical College, Rajnandgaon Chhattisgarh from April 2023 to May 2023. 156 HCWs with mean age group 36 ± 9.7 (18-59) years participated in the study. Healthcare workers included were nurses (55.1%) and technicians (44.8%). Knowledge and attitude score observed in our study is 90.3% and 92.3% levelled as good to moderate but at the same time good to moderate practice observed is 59.6%. Certain deficiencies regarding some areas of preventive measures of tuberculosis was observed among participants which require improvement by conducting training sessions.
Comparison between Quantitative Hepatitis B DNA and HBeAg Positivity to Detect Active Viral Replication among Patients with Hepatitis B infection in a Tertiary Care Hospital
Authors: Preethi V. , Jaya Lakshmi S.S. , Leela K.V.
Published: November 2023

To study the correlation between quantitative Hepatitis B DNA and HBeAg positivity among HBsAg positive patients in a tertiary care hospital. To detect HBsAg, HBeAg levels by CMIA (Chemiluminescent microparticle immunoassay). To perform quantitative Hepatitis B virus DNA assay using Real Time Polymerase Chain Reaction. The study took place between July and December 2022 for 6 months. Sixty four patients were included in the study for whom HBsAg was positive by CMIA and for whom HBeAg (detected by CMIA) and Hepatitis B Virus DNA by quantitative Real Time PCR was performed. Of the 64 HBsAg reactive patients, the ‘e’ antigen of Hepatitis B virus was positive in six patients. In all the six HBeAg positive patients, HBV DNA was detected with a range of 78-10,288 IU/ml with 66% having levels more than 2000 IU/ml and requiring treatment. Among the 58 patients who were negative for the ‘e’ antigen of Hepatitis B virus, the Hepatitis B Viral DNA was detected in 27 patients with a range of 10-1,76,000 IU/ml, with 21% of patients having levels more than 2000 IU/ml. HBeAg is a good serological test to detect viral replication. However, it alone might not be sufficient as quantitative HBV DNA levels are more accurate and it does identify more patients who may require treatment.
Research on Liver Tumor Detection Using Image Processing Techniques
Authors: Sah Aditya
Published: November 2023

Abstract: Hepatocellular tumour, a transcendent type of liver tumour, is a fundamental reason for mortality worldwide. The beginning of early symptomatic measures is urgent in improving the visualization of beset patients. The coming of strategies has been a unique advantage, essentially improving the accuracy and practicality of hepatic neoplasm ID. This paper surveys the present status of ML-based liver cancer identification research, featuring the vital difficulties and arising patterns. One of the principal challenges in liver cancer identification is the fluctuation in liver life systems and appearance, as well as the presence of covering structures, like the heart and kidneys. ML ideal models can be coached to acclimatize these qualities and examples, enabling them to pinpoint hepatic neoplasms with wonderful exactness across a range of imaging strategies, like figured tomography (CT), Magnetic Resonance Imaging (MRI), and sonography. Ongoing advances in ML have prompted the improvement of new and more modern calculations for liver growth recognition. For instance, deep learning calculations have been displayed to accomplish cutting edge brings about an assortment of clinical imaging undertakings, including liver growth recognition. Regardless of ongoing advances, ML-based hepatic neoplasm recognition calculations face a few obstacles for clinical reception. One obstacle is the prerequisite of voluminous and excellent datasets to prepare and survey ML calculations. One more obstacle is the power of calculations to clamor and heterogeneity in imaging quality
Review on Heart Disease Prediction Using Machine Learning Algorithms
Authors: Chikhale Sahil R.
Published: November 2023

Abstract: Heart disease remains a pressing global health challenge, accounting for a significant portion of morbidity and mortality worldwide. Timely identification of individuals at risk and the early prediction of heart disease plays a pivotal role in reducing its impact. Machine learning, with its capacity to discern intricate patterns within vast datasets, offers a promising avenue for enhancing the accuracy of risk assessment. This project focuses on the application of machine learning algorithms to predict heart disease. By leveraging features such as patient demographics, medical history, and clinical measurements, we aim to develop a predictive model that can assist healthcare professionals in identifying individuals susceptible to heart disease well before symptoms manifest. The utilization of machine learning algorithms, including logistic regression, Random Forest, and K Nearest Mean, allows us to extract meaningful insights from heterogeneous healthcare data. These algorithms can analyze and weigh the significance of various risk factors, thus enabling accurate risk assessment. This endeavor holds profound implications for public health, as early detection can pave the way for timely interventions and lifestyle modifications. The potential to reduce the burden of heart disease on healthcare systems and improve patient outcomes underscores the significance of this research. The ability to predict heart disease with high precision is of paramount importance, as it can aid healthcare professionals in identifying individuals at risk and tailoring preventative measures accordingly. Early diagnosis and intervention can significantly reduce the burden of heart disease on individuals and healthcare systems alike.In this project, we harness the potential of machine learning algorithms to analyze a comprehensive dataset comprising various patient attributes, including demographic information, medical history, and clinical measurements such as blood pressure, cholesterol levels, and electrocardiogram (ECG) data. By training and validating our model on this diverse dataset, we aim to create a predictive tool capable of discerning patterns and relationships that may elude traditional diagnostic methods
Cafeteria Management System - Enhancing its Efficiency
Authors: Singh Sidharth Shivam
Published: November 2023

Abstract: Cafeterias, food joints and other eateries established within the premises of a university serve as major hubs for socialinteractions, nourishment and academic life, between both faculty as well as students. This review paper synthesizes and evaluates current literature on cafeteria management within university settings. The paper begins by outlining the importance of efficient cafeteria operations in promoting student well-being, academic success and implementation of sustainable practices. It explores various aspects of cafeteria management including menu planning, dietary preferences, sustainability initiatives, technological advancements, operational efficiency, and customer satisfaction. The assessment also looks at the difficulties university cafeterias confront, including how to minimize food waste, balance student expectations with nutritional requirements, and several others. Throughout the paper, an emphasis is placed on innovative approaches and best practices that can be employed by universities globally to enhance cafeteria services. These encompass the integration of emerging technologies such as IoT, Augmented Reality, Artificial Intelligence, etc., to facilitate ordering and payment systems, collaboration with local vendors for fresh and sustainable produce, community engagement initiatives and many more
Age and Gender Prediction using Face Recognition
Authors: Deswal Rajat
Published: November 2023

Abstract: This project focuses on the development and implementation of a robust system for age and gender prediction through facial recognition technology. The increasing demand for intelligent systems capable of analyzing demographic information from facial images has motivated the exploration of advanced machine learning techniques. The methodology involves collecting a diverse dataset of facial images, annotating them with accurate age and gender labels, and employing state-of-the-art deep learning models for feature extraction and prediction. The deep neural network architecture utilized is trained on a large dataset to learn complex patterns and relationships within facial features.
Planificación estratégica de la inter-transdisciplina en universidades chilenas
Authors:   Universidad Austral de Chile, Dupuis Harold , Browne Rodrigo ,   Universidad Austral de Chile, Yañez Constanza , Oliva Ivan G. ,   Universidad Austral de Chile
Published: November 2023

Se presentan los resultados de un estudio orientado a analizar e interpretar las formas semánticas relativas a la comunicación sobre inter-transdisciplina expuestas en los Planes Estratégicos de las universidades chilenas, problematizando las condiciones organizacionales que posibilitan, limitan y hacen operativa la inter-transdisciplina. En esta línea, se observa la planificación estratégica como un proceso complejo que da cuenta de diversas configuraciones sistémicas, siendo la inter-transdisciplina una construcción emergente y múltiple que la universidad genera a través de sus propias operaciones y en acoplamiento con su entorno societal, relevándose como una noción gravitante para la prospectiva de las universidades chilenas.
The Application of Purple Yam Flour for Stick Crackers
Authors: Armando Yunta Gombang , Ulyarti Ulyarti , Rulaini Melati , Mursyid Mursyid , Tafzi Fitry , Surhaini Surhaini , Nazarudin Nazarudin
Published: November 2023

This study was conducted to determine the effect of substitution of wheat flour with purple yam flour on the physicochemical and organoleptic characteristics of sticks cracker and to obtain the appropriate concentration of purple yam flour for the best physicochemical and organoleptic characteristics of stick crackers. This study used a completely randomized design (CRD) with 6 levels of purple yam flour (0, 12.5%, 25%, 37.5%, 50%, and 62.5%) and 4 replications. The purple yam flour substitution gave a significant effect on physical parameters, namely hardness and color (L*, a*, b* and hue), anthocyanin content of stick crackers, and on the color and texture of sticks cracker, but gave no significant effect on its taste and aroma. The purple yam flour substitution increased the water, ash, fat, and crude fiber content, but decreased the value of carbohydrate and protein content when compared to the control.  It is suggested that stick crackers be made with substitution of 50% purple yam flour. This level of substitution produced stick crackers with hardness value 1.55 gF, L* 14.58, a* 4.60, b* 0.19, 54.87% carbohydrate, 4.35% water, 28.87% fat, 9.34% protein, 2.57% ash, 0.67% crude fiber and anthocyanin 62.48 mg cyanidin3-glucoside equivalent/g.
Analysis of Shelf Life and Antibacterial Actvity of Sumbawa Wild Horse Milk against Escherecia Coli and Staphylococcus Aureus Bacteria
Authors: Lubis Novriyanti , Setyaningsih Baiq Inges , Nuari Doni Anshar
Published: November 2023

Sumbawa wild horse mik is pure milk produced by a mare which is bred in sumbawa and is a healthy drink that has antibacterial activity and longer shelf life duration without using preservatives. This study aims to analyze the shelf life and antibacterial activity of Sumbawa wild horse milk (SWHM) against Escherecia coli and Staphylococcus aureus  bacteria, with test parameters including water content, fat content, protein content, pH, and testing was carried out on the 15th day and 30th day after milking and storage at room temperature. The results showed that SWHM did not decay or changes in levels that were far different during the storage period of 15-30 days at room temperature, with the results of fat content of 86.182% and 1.6650%, protein content of 2.1624% and 2.2961%, 86.1821% water content and pH 5.21 and 4.00. Antibacterial activity plays more role in inhibiting Escherichia coli bacteria compared to Staphylococcus aureus with a concentration of 50%, 75%, and 100% with a maximum inhibition of 12.77 mm.
Editorial: Enhancing value through disclosure of environmental sustainability and adherence to corporate governance
Authors: Gerged Ali Meftah
Published: November 2023

In this issue of the Corporate Governance and Sustainability Review, we delve deeply into the ever-evolving field of the consequences of environmental sustainability disclosure and corporate governance compliance. Our focus is on the intricate relationship between corporate practices and their broader impact on both markets and the environment. We are proud to present five seminal papers, each contributing uniquely to our understanding of this critical field.
Titel: Reported physician symptoms during screening echocardiography is not associated with the presence of suspected hypertrophic cardiomyopathy.
Authors: Movahed Mohammad Reza , Bahrami Ashkan , Bates Sharon
Published: November 2023

Background: The prevalence of hypertrophic cardiomyopathy (HCM)
can be silent and can present with sudden death as the first
manifestation of this disease. The goal of this study was to evaluate
any association between reported physical symptoms with the presence of
suspected HCM. Method: The Anthony Bates Foundation has been
performing screening echocardiography across the United States for the
prevention of sudden death since 2001. A total of 4,120 subjects between
the ages of 6 and 79 underwent echocardiographic screening. We evaluated
any association between any symptoms and suspected HCM defined as any
left ventricular wall thickness ≥ 15 mm. Results: The total
prevalence of suspected HCM in the entire study population was 1.1%.
The presence of physical symptoms were not associated with HCM (chest
pain in 4.3% of participant with HCM vs. 9.9% of the control, p=0.19,
palpitation in 4.3% of participant with HCM vs. 7.3% of the control.,
p=0.41, shortness of breath in 6.4% of participant with HCM vs. 11.7%
of the control., p=0.26, lightheadedness in 4.3% of participant with
HCM vs. 13.1% of the control., p=0.07, ankle swelling in 2.1% of
participant with HCM vs. 4.0% of the control., p=0.52, dizziness in
8.5% of participant with HCM vs. 12.2% of the control., p=0.44).
Conclusion: Echocardiographic presence of suspected HCM is not
associated with a higher prevalence of physical symptoms in the
participants undergoing screening echocardiography. This finding
confirmed that HCM can be asymptomatic in many patients and a
questionnaire cannot distinguish the HCM population from a control
group.
Helsetjenestene – og det permanente endringsbehovet
Authors: Hagen Terje P. , Iversen Tor
Published: November 2023

I 1980- og 90-årene var den norske helsetjenesten preget av lange ventetider til (planlagte) behandlinger. Problemet var størst i sykehusene, der ventetiden kunne være på over ett år, men også markant i primærhelsetjenesten, der en kunne vente i både to og tre uker på en konsultasjon hos legen. Det politiske presset for å få ventetidene ned var stort, og det ble innført reformer som innsatsstyrt finansiering, fritt sykehusvalg og behandlingsrettigheter med individuelle ventetidsgarantier. Ventetidene gikk ned. Også innføringen av fastlegeordningen i 2001 kan ses i dette perspektivet.
De siste årene har vi sett tendenser til økte ventetider, særlig i sykehusene. Økningen ble særlig utløst av covid-19-pandemien. En måtte utsette operasjoner og konsultasjoner for å redusere smittefaren og for å flytte ressurser over til de alvorlig syke covid-pasientene. Det er trolig flere forklaringer på at ventetidene ikke er tilbake der de var før pandemien – viktig blant disse er både forbedret tilbud som følge av teknologiske endringer og økt etterspørsel etter tjenester som følge av en aldrende befolkning. Det er også betydelige utfordringer med tilgjengelighet til fastlegenes lister, tilgjengelighet og kvalitet i de kommunale helse- og omsorgstjenestene, manglende samhandling mellom nivåene i helsesektoren, hvilke kriterier som skal legges til grunn for prioritering av helsesektoren opp mot andre sektorer, og hvilke pasientgrupper som skal prioriteres i helsetjenesten.
Dette spesialnummeret av Magma om helseledelse og helseøkonomi handler om utfordringer og foreslåtte tiltak. De ti artiklene er delt inn i tre grupper: 1) utfordringer helsetjenestene står overfor, 2) gjennomførte og foreslåtte endringer i finansiering og organisasjonsformer, og 3) implementering og endringsprosesser.