bluuebunny/crossref_metadata_2025 huggingface dataset:
One-Step Preparation of Luteolin Nanoemulsion and Evaluation of its
Anti-inflammatory Effect in Animal Models
Authors: Karami-Mohajeri Somayyeh , Hashemi Narges , Ranjbar Mehdi , Mohajeri Mohammad , Sharififar Fariba
Published: March 2023

Background:

Nanoemulsions are promising drug delivery systems for topical application
owing to the high transdermal penetration.

Objective:

Due to the side effects of existing anti-inflammatory drugs, much attention has been paid to
natural products such as flavonoids. The aim of this work was to formulate luteolin nanoemulsion
(LNE) and to evaluate its anti-inflammatory effect.

Methods:

LNE was prepared using the low-energy spontaneous emulsion method and characterized
by transmission electron microscopy (TEM), Fourier transform infrared (FTIR) spectroscopy and dynamic
light scattering (DLS). The anti-inflammatory effect of LNE was assessed in formalin and acetic
acid-induced inflammation methods (Whittle test). Treatment with LNE (i.p, 4 consecutive days,
40 mg/kg) was compared with diclofenac 25 mg/kg and normal saline. In the formalin test, data were
recorded at 1, 2 and 4 hours after formalin injection and in the Wittle test, the extent of Evans blue
leakage in the peritoneal cavity was considered as vascular permeability.

Results:

Formalin-induced edema decreased in the LNE group, but this reduction was not significant
(p > 0.05), however, in Whittle test, both LNE and diclofenac significantly reduced Evans blue leakage
compared with the group treated with acetic acid alone (p < 0.05).

Conclusion:

Our results confirm the anti-inflammatory effect of LNE and give up a new platform for
the design and development of bio-based carriers for more successful drug delivery.
Role of Autophagy and Mitophagy in Neurodegenerative Disorders
Authors: Kapil Lakshay , Kumar Vishal , Kaur Simranjit , Sharma Deepali , Singh Charan , Singh Arti
Published: March 2023

Autophagy is a self-destructive cellular process that removes essential metabolites and
waste from inside the cell to maintain cellular health. Mitophagy is the process by which autophagy
causes disruption inside mitochondria and the total removal of damaged or stressed mitochondria,
hence enhancing cellular health. The mitochondria are the powerhouses of the cell, performing essential
functions such as ATP (adenosine triphosphate) generation, metabolism, Ca2+ buffering, and signal
transduction. Many different mechanisms, including endosomal and autophagosomal transport, bring
these substrates to lysosomes for processing. Autophagy and endocytic processes each have distinct
compartments, and they interact dynamically with one another to complete digestion. Since mitophagy
is essential for maintaining cellular health and using genetics, cell biology, and proteomics techniques,
it is necessary to understand its beginning, particularly in ubiquitin and receptor-dependent signalling
in injured mitochondria. Despite their similar symptoms and emerging genetic foundations, Alzheimer's
disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral
sclerosis (ALS) have all been linked to abnormalities in autophagy and endolysosomal pathways associated
with neuronal dysfunction. Mitophagy is responsible for normal mitochondrial turnover and,
under certain physiological or pathological situations, may drive the elimination of faulty mitochondria.
Due to their high energy requirements and post-mitotic origin, neurons are especially susceptible
to autophagic and mitochondrial malfunction. This article focused on the importance of autophagy and
mitophagy in neurodegenerative illnesses and how they might be used to create novel therapeutic approaches
for treating a wide range of neurological disorders.
Power Monitoring and Passenger Classification on Logistics Elevator
Authors: Hafidz Isa , Putra Aldhitiansyah , Montolalu Billy , Adiputra Dimas , Putranto Rifky Dwi , Daffaldi Rafly , Ulfa Dinda Karisma
Published: March 2023

The elevator has an important role in assisting transportation and logistics activities in a building. However, if the elevator is not used wisely, then the power consumption will be inefficient. A policy of elevator usage is necessary to ensure the effectiveness of elevator power consumption. Therefore, in this study, elevator power consumption monitoring is proposed. The power consumption behavior can be learned so a suitable policy can be made accordingly. Two elevators in Telkom Campus Surabaya are monitored to understand the daily electrical energy usage. Internet of Things (IoT) based real-time power monitoring system is used to monitor the electrical energy usage of the elevator. A raspberry pi is used to collect the data of electrical usage via a current and power sensor. The data is sent to the cloud, which later is displayed through a dashboard website. The result shows that the elevator usage on weekdays and weekends is different. The peak power on weekdays is obtained from 15.00 to 16.00, meanwhile, on weekends, the peak occurs from 9:00 to 10:00. On weekdays, the total power consumed by the elevator is 51.74kW, while on weekends, it is 11.94kW. Restrictions on the use of lifts are applied to periods when the lift has few passengers and has a short distance. From the results obtained, the total power consumed can decrease by an average of 37%. It is expected that the suggested policies can reduce elevator power consumption and the monthly cost of electrical energy.
Crowd Detection System Using Blimp Drones as an Effort to Mitigate the Spread of Covid-19 Based on Internet of Things
Authors: Mashoedah Mashoedah , Dhewa Oktaf Agni , Roviyan Zulhakim Seftiyana , Leo Dheni , Masyitoh Silvia Larasatul
Published: March 2023

The application of health protocols is a regulation that is applied to prevent the spread of Covid-19. Public awareness of the implementation of health protocols is still lacking. This study aims to determine the performance of the detection system using the Blimp Drone as an effort to mitigate the spread of Covid-19 based on the Internet of Things. The method used in system development consists of literature review, needs analysis, design, manufacture, and testing. This system uses the Blimp Drone as a vehicle to carry out flight missions. Raspberry pi camera as a component for distance detection in crowds and mask detection, and Flir Lepton 2.5 as a component for temperature detection. In addition, thealso used raspberry pi 4 is as a component for image processing of the distance detection system for crowd, mask, and temperature detection. The results of the tests carried out are: (1) the results of the analysis of the lifting power of the Blimp Drone  using pure helium and a diameter of 0.91m capable of lifting a load of 0.45kg (2) the system can detect the distance of each person in the crowd (3) the system can detect everyone who using a mask and not wearing a mask (4) the system can detect the temperature of each person using image processing (5) an audio warning sounds when a person who is not wearing a mask is detected and the distance between 2 people in a crowd of less than 1 meter is detected (6) the advantages of this tool ie can work autonomous  in flight missions to detect the distance the crowd, masks, and temperature, as well as integrated with system the Internet of Things so that data the results capturing can be accessed in real time for further action by the authorities.
The Automatic Monitoring System for WPP, SPP, and PLN based on The Internet of Things (IoT) using Sonoff Pow R2
Authors: Apriani Yosi , Bagaskara Muhammad Rama , Sofian Ian Mochamad , Oktaviani Wiwin A , Hurairoh Muhammad
Published: March 2023

The usefulness of monitoring systems in the electric power system supports the importance of people's work today. One of which is the monitoring system at the generator. The monitoring system for Wind Power Plant (WPP), Solar Power Plant (SPP), and electricity from State Electricity Company (PLN) use IoT (Internet of Things) in the form of Sonoff Pow R2. With the monitoring system on this tool, the parameter values for WPP, SPP, and PLN can be seen and monitored online via a smartphone. The purpose of this research is to design a monitoring system for WPP, SPP, and PLN based on the Internet of Things (IoT) to determine the value of the output power. In addition, this system can distinguish load parameter values when WPP, SPP, and PLN are supplied directly (real time) and monitored online using the Sonoff Pow R2 app and the Ewelink App. This study uses the methodology that started the process of designing and manufacturing systems and designing the wiring that has been formed from the process of making tools and testing results. The results obtained from the experiment show that the current values in WPP, SPP, and PLN that appear on the monitoring screen are stable.  The stable condition values are measured and tested when power is used when loading through sonoff.  For the power value, the power value in PLN is stable, whereas in WPP and SPP has increased. For the voltage, the voltage value from PLN does not reach 220 V, whereas the voltage value from WPP and SPP reaches a value of 220 V.
Interactive Procedural Knowledge Learning Resources Development in The Context of Competency-Based Training Instructional Approach and Interactive Media Design Subjects for Information Technology Vocational High School
Authors: Herlambang Admaja Dwi , Budiman Baiti , Wardhono Wibisono Sukmo
Published: March 2023

Many research has proven the good impact of digital learning resources on the knowledge acquisition by students. However, this research only focuses on factual and conceptual knowledge types. In contrast, the learning process in vocational high schools is dominated by procedural knowledge and practical activities. This research aims to produce a digital handbook appropriate in content, media, and utilization in the learning process of procedural knowledge at an information technology vocational high school. Digital handbook components were arranged based on the context of the Competency-Based Training (CBT) instructional approach and Interactive Media Design subjects. The digital handbook was developed under the Four-D model dan Cognitive Theory of Multimedia Learning. The content, media, and practicality appraisal were carried out to prove that the digital handbook is appropriate as a digital learning resource. The material, media, and practicality appraisal involves subject matter experts, multimedia learning experts, and potential users. The content validity average score is 97.80%, the media validity score is 95.50%, and the practicality score is 90.00%. Based on these, the digital handbook is declared practical and worth using as an interactive digital learning resource for procedural knowledge, potentially attracting students to hands-on or practical activities and guiding students to learn independently.
Congenital Phenotypes and DMPK CTG Repeat Number in Mothers/Children with Myotonic Dystrophy Type 1
Authors: Shigematsu Kosuke , Mikami Yukiko , Shinsaka Mamiko , Kinoshita Masanobu , Takai Yasushi
Published: March 2023

Myotonic dystrophy type 1 (DM1) is an autosomal dominant genetic disease often resulting in more severe symptoms in affected children. The number of CTG repeats is reportedly related to congenital myotonic dystrophy 1 (CDM) severity. In this study, we aimed to clarify whether the number of CTG repeats can predict the severity of symptoms in children with CDM. This retrospective study examined 14 women with DM1 and their 14 children diagnosed with CDM. There were 11 CDM and 3 non-CDM patients. The correlation between the mother and child’s CDM onset and CTG repeat numbers was analyzed. The mean CTG repeat numbers in women who bore a child with CDM (detected polyhydramnios during pregnancy; hypotonia, respiratory insufficiency, or suckling failure at birth; bilateral facial weakness; delayed motor and mental development; talipes; and other contractures) were significantly lower compared to those who bore a non-CDM child (620 ± 450 vs. 933 ± 57, respectively). However, there was no significant difference in the mean CTG repeat numbers between the children with and without CDM (1,617 ± 323 vs. 1,789 ± 428, respectively). Our results suggest that CDM cannot be predicted based on the CTG repeat number of the mother or child.
Boletín Agroclimático Regional: mesa técnica agroclimática de Sucre septiembre 2022
Authors:   Ministerio de Agricultura y Desarrollo Rural, Bogotá (Colombia),   Organización de las Naciones Unidas para la Alimentación y la Agricultura, Bogotá (Colombia),   Instituto de Hidrología, Meteorología y Estudios Ambientales, Bogotá (Colombia)
Published: March 2023

La Mesa Técnica Agroclimática (MTA) de Sucre es un espacio de diálogo y análisis entre actores locales, nacionales y regionales, que busca comprender el posible comportamiento del clima a partir de información científica y conocimiento empírico, y generar recomendaciones para disminuir los riesgos asociados a la variabilidad climática en el sector agropecuario. En la última reunión celebrada el 02 de septiembre (modalidad virtual), se presentó la perspectiva climática para el trimestre sep-oct-nov 2022 para Sucre. Con base en esta información, se discutieron impactos y recomendaciones para el sector agrícola. La información generada, se ha recopilado en el presente Boletín Agroclimático.
Boletín Agroclimático Regional: mesa técnica agroclimática de Cauca octubre 2022
Authors:   Ministerio de Agricultura y Desarrollo Rural, Bogotá (Colombia),   Organización de las Naciones Unidas para la Alimentación y la Agricultura, Bogotá (Colombia),   Instituto de Hidrología, Meteorología y Estudios Ambientales, Bogotá (Colombia)
Published: March 2023

La Mesa Técnica Agroclimática MTA de Cauca es un espacio de diálogo y análisis entre actores locales, nacionales y regionales, que busca comprender el posible comportamiento del clima a partir de información científica y conocimiento empírico, y generar recomendaciones para disminuir los riesgos asociados a la variabilidad climática en el sector agropecuario.
Boletín Agroclimático Regional: mesa técnica agroclimática de Risaralda agosto 2022
Authors:   Ministerio de Agricultura y Desarrollo Rural, Bogotá (Colombia),   Organización de las Naciones Unidas para la Alimentación y la Agricultura, Bogotá (Colombia),   Instituto de Hidrología, Meteorología y Estudios Ambientales, Bogotá (Colombia)
Published: March 2023

La Mesa Técnica Agroclimática (MTA) de Risaralda, es un espacio de diálogo y análisis entre actores locales, nacionales y regionales, que busca comprender el posible comportamiento del clima a partir de información científica y conocimiento empírico, y generar recomendaciones para disminuir los riesgos asociados a la variabilidad climática en el sector agropecuario.
Boletín Agroclimático Nacional No.89
Authors:   Ministerio de Agricultura y Desarrollo Rural, Bogotá (Colombia),   Organización de las Naciones Unidas para la Alimentación y la Agricultura, Bogotá (Colombia),   Instituto de Hidrología, Meteorología y Estudios Ambientales, Bogotá (Colombia)
Published: March 2023

El Boletín Agroclimático Nacional es elaborado por la Mesa Técnica Agroclimática Nacional, liderada por el Ministerio de Agricultura y Desarrollo Rural-MADR, en alianza con el Instituto de Hidrología, Meteorología y Estudios Ambientales-Ideam y el apoyo de gremios del sector agropecuario, la academia, Secretarías de Agricultura, entre otros actores del orden nacional y local. Este documento contiene el análisis del comportamiento del clima en diferentes regiones del país y brinda recomendaciones para una mejor proyección de las actividades agrícolas y pecuarias.
Heart Rate Variability and Pregnancy Complications: Systematic Review
Authors: Sharifi-Heris Zahra , Rahmani Amir M , Axelin Anna , Rasouli Mahkameh , Bender Miriam
Published: March 2023

Background

The autonomic nervous system (ANS) is known as a critical regulatory system for pregnancy-induced adaptations. If it fails to function, life-threatening pregnancy complications could occur. Hence, understanding and monitoring the underlying mechanism of action for these complications are necessary.

Objective

We aimed to systematically review the literature concerned with the associations between heart rate variability (HRV), as an ANS biomarker, and pregnancy complications.

Methods

We performed a comprehensive search in the PubMed, Medline Completion, CINAHL Completion, Web of Science Core Collection Classic, Cochrane Library, and SCOPUS databases in February 2022 with no time span limitation. We included studies concerned with the association between any pregnancy complications and HRV, with or without a control group. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline was used for the review of the studies, and Covidence software was used for the study selection process. For data synthesis, we used the guideline by Popay et al.

Results

Finally, 12 studies with 6656 participants were included. Despite the methodological divergency that hindered a comprehensive comparison, our findings suggest that ANS is linked with some common pregnancy complications including fetal growth. However, existing studies do not support an association between ANS and gestational diabetes mellitus. Studies that linked pulmonary and central nervous system disorders with ANS function did not provide enough evidence to draw conclusions.

Conclusions

This review highlights the importance of understanding and monitoring the underlying mechanism of ANS in pregnancy-induced adaptations and the need for further research with robust methodology in this area.
An Evidence-Based Serious Game App for Public Education on Antibiotic Use and Antimicrobial Resistance: Protocol of a Randomized Controlled Trial (Preprint)
Authors: Huang Zhilian , Tang Wern Ee , Guo Huiling , Natarajan Karthiga , Lee Tau Hong , Yeo Tsin Wen , Chow Angela
Published: March 2023

BACKGROUND

The misuse and overuse of antibiotics contribute to the acceleration of antimicrobial resistance (AMR), but public knowledge on appropriate antibiotic use and AMR remained low despite ongoing health promotion efforts. App gamification has gained traction in recent years for health promotion and to affect change in health behaviors. Hence, we developed an evidence-based serious game app “SteWARdS Antibiotic Defence” to educate the public on appropriate antibiotic use and AMR and address knowledge gaps.

OBJECTIVE

We aim to evaluate the effectiveness of the “SteWARdS Antibiotic Defence” app in improving the knowledge of, attitude toward, and perception (KAP) of appropriate antibiotic use and AMR among the public. The primary objective is to assess the changes in KAP of antibiotic use and AMR in our participants, while the secondary objectives are to assess the extent of user engagement with the app and the level of user satisfaction in using the app.

METHODS

Our study is a parallel 2-armed randomized controlled trial with a 1:1 allocation. We plan to recruit 400 participants (patients or their caregivers) aged 18-65 years from government-funded primary care clinics in Singapore. Participants are randomized in blocks of 4 and into the intervention or control group. Participants in the intervention group are required to download the “SteWARdS Antibiotic Defence” app on their smartphones and complete a game quest within 2 weeks. Users will learn about appropriate antibiotic use and effective methods to recover from uncomplicated upper respiratory tract infections by interacting with the nonplayer characters and playing 3 minigames in the app. The control group will not receive any intervention.

RESULTS

The primary study outcome is the change in participants’ KAP toward antibiotic use and AMR 6-10 weeks post intervention or 6-10 weeks from baseline for the control group (web-based survey). We will also assess the knowledge level of participants immediately after the participant completes the game quest (in the app). The secondary study outcomes are the user engagement level (tracked by the app) and satisfaction level of playing the game (via the immediate postgame survey). The satisfaction survey will also collect participants’ feedback on the game app.

CONCLUSIONS

Our proposed study provides a unique opportunity to assess the effectiveness of a serious game app in public health education. We anticipate possible ceiling effects and selection bias in our study and have planned to perform subgroup analyses to adjust for confounding factors. The app intervention will benefit a larger population if it is proven to be effective and acceptable to users.

CLINICALTRIAL

ClinicalTrials.gov NCT05445414; https://clinicaltrials.gov/ct2/show/NCT05445414

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/45833
Can real-time personalized feedback in mHealth improve app engagement, user experience, and well-being? (Preprint)
Authors: Dietvorst Evelien , Hillegers M. H. J. , Legerstee J. S. , Vreeker Annabel , Keijsers Loes
Published: March 2023

BACKGROUND

Mobile Health (mHealth) may improve early identification, prevention, and treatment of mental health problems. The multiplayer smartphone app Grow It!, lets 12-25 years old adolescents monitor their emotions and provides them with daily challenges based on Cognitive Behavioral Therapy (CBT).

OBJECTIVE

This preregistered study evaluates whether real-time personalized feedback on an individual’s well-being could enhance app engagement (i.e., compliance in self-monitoring, number of challenges), user experience (e.g., rating), and effectiveness (i.e., changes in well-being).

METHODS

Two independent samples of adolescents played Grow It! for 3 weeks. Sample A (N = 733, age= 18.48 SD=3.47, 81% girls, 97% Dutch) did not receive feedback. Sample B (N = 320, age= 15.88 SD=3.18, 69% girls, 89% Dutch) did receive personalized real-time feedback. 9 semi-structured interviews were conducted among clinicians.

RESULTS

Adolescents who received personal feedback had higher compliance; they completed more challenges; and rated the design of the app more favorably. Over the course of 3 weeks, adolescents’ affective and cognitive well-being increased significantly but these improvements were unrelated to their engagement and user experience. Semi-structured interviews underscored that healthcare professionals would be motivated to use Grow It! in clinical practice.

CONCLUSIONS

Adolescents’ affective and cognitive well-being may be enhanced by playing a gamified CBT with self-monitoring of emotions. Providing adolescents real-time insights into their emotional well-being may improve user engagement and user experience of mHealth.

CLINICALTRIAL

https://osf.io/cm2jb/?view_only=b79cfa0f8af043809da8750bf33e99c1
Systemic sclerosis is a risk factor of incident psoriasis: results from a nationwide cohort study (Preprint)
Authors: Kwon Oh Chan , Han Kyungdo , Park Min-Chan
Published: March 2023

BACKGROUND

Co-existing psoriasis (PsO) in patients with systemic sclerosis (SSc) has been reported. However, it is unclear whether SSc contributes as a risk factor for development of PsO.

OBJECTIVE

We aimed to assess whether SSc is associated with the risk of incident PsO.

METHODS

From the Korean National Health Insurance Service database, 4,933 patients with SSc and 24,665 age- and sex-matched controls were selected. Hazard ratios (HRs) and 95% confidence intervals (CIs) for incident PsO were estimated using multivariable Cox proportional hazard models adjusted for known risk factors of PsO. Further, we selected individuals whose health check-up data were available (2,355 patients with SSc and 11,775 age- and sex-matched controls). In this population, we further adjusted for additional risk factors of PsO using the health check-up data.

RESULTS

In the analysis of 4,933 patients with SSc and 24,665 age- and sex-matched controls, incidence rates of PsO in patients with SSc and controls were 10.26 and 3.20 per 1,000 person-years, respectively. After adjusting for risk factors of PsO, patients with SSc had a significantly higher risk of incident PsO (adjusted HR: 3.055 [95% CI: 2.597, 3.594]). Moreover, in the analysis of individuals who had health check-up data, additional risk factors of PsO were further adjusted; the result also showed that patients with SSc have a significantly higher risk of incident PsO (adjusted HR: 2.820 [95% CI: 2.207, 3.603]).

CONCLUSIONS

In this large cohort study, SSc was associated with a 3-fold higher risk of incident PsO than controls, independent of known risk factors of PsO. This observation advances our knowledge by showing that a risk relationship exists between SSc and PsO, beyond a simple co-existence between the two conditions.
Joint Modeling of Clinical and Biomarker Data in Acute Kidney Injury Defines Unique Subphenotypes with Differing Outcomes
Authors: Vasquez-Rios George , Oh Wonsuk , Lee Samuel , Bhatraju Pavan , Mansour Sherry G. , Moledina Dennis G. , Gulamali Faris F. , Siew Edward D. , Garg Amit X. , Sarder Pinaki , Chinchilli Vernon M. , Kaufman James S. , Hsu Chi-yuan , Liu Kathleen D. , Kimmel Paul L. , Go Alan S. , Wurfel Mark M. , Himmelfarb Jonathan , Parikh Chirag R. , Coca Steven G. , Nadkarni Girish N.
Published: March 2023

Background

AKI is a heterogeneous syndrome. Current subphenotyping approaches have only used limited laboratory data to understand a much more complex condition.

Methods

We focused on patients with AKI from the Assessment, Serial Evaluation, and Subsequent Sequelae in AKI (ASSESS-AKI). We used hierarchical clustering with Ward linkage on biomarkers of inflammation, injury, and repair/health. We then evaluated clinical differences between subphenotypes and examined their associations with cardiorenal events and death using Cox proportional hazard models.

Results

We included 748 patients with AKI: 543 (73%) of them had AKI stage 1, 112 (15%) had AKI stage 2, and 93 (12%) had AKI stage 3. The mean age (±SD) was 64 (13) years; 508 (68%) were men; and the median follow-up was 4.7 (Q1: 2.9, Q3: 5.7) years. Patients with AKI subphenotype 1 (N=181) had the highest kidney injury molecule (KIM-1) and troponin T levels. Subphenotype 2 (N=250) had the highest levels of uromodulin. AKI subphenotype 3 (N=159) comprised patients with markedly high pro–brain natriuretic peptide and plasma tumor necrosis factor receptor-1 and -2 and low concentrations of KIM-1 and neutrophil gelatinase–associated lipocalin. Finally, patients with subphenotype 4 (N=158) predominantly had sepsis-AKI and the highest levels of vascular/kidney inflammation (YKL-40, MCP-1) and injury (neutrophil gelatinase–associated lipocalin, KIM-1). AKI subphenotypes 3 and 4 were independently associated with a higher risk of death compared with subphenotype 2 and had adjusted hazard ratios of 2.9 (95% confidence interval, 1.8 to 4.6) and 1.6 (95% confidence interval, 1.01 to 2.6, P = 0.04), respectively. Subphenotype 3 was also independently associated with a three-fold risk of CKD and cardiovascular events.

Conclusions

We discovered four AKI subphenotypes with differing clinical features and biomarker profiles that are associated with longitudinal clinical outcomes.
Abstractive method-based Text Summarization using Bidirectional Long Short-Term Memory and Pointer Generator Mode
Authors: Tripathy Saroj Anand , Ashok Sharmila
Published: March 2023

With the rise of the Internet, we now have a lot of information at our disposal. We 're swamped from many sources — news, social media, to name a few, office emails. This paper addresses the problem of reading through such extensive information by summarizing it using text summarizer based on Abstractive Summarization using deep learning models, i.e. using bidirectional Long Short-Term Memory (LSTM) networks and Pointer Generator mode. The LSTM model (which is a modification of the Recurrent Neural Network) is trained and tested on the Amazon Fine Food Review dataset using the Bahadau Attention Model Decoder with the use of Conceptnet Numberbatch embeddings that are very similar and better to GloVe. Pointer Generator mode is trained and tested by the CNN / Daily Mail dataset and the model uses both Decoder and Attention inputs. But due 2 major problems in LSTM model like the inability of the network to copy facts and repetition of words the second method is, i.e., Pointer Generator mode is used. This paper in turn aims to provide an analysis on both the models to provide a better understanding of the working of the models to enable to create a strong text summarizer. The main purpose is to provide reliable summaries of datasets or uploaded files, depending on the choice of the user. Unnecessary sentences will be rejected in order to obtain the most important sentences.
A New direct power control method of the DFIG-DRWT system using neural PI controllers and four-level neural modified SVM technique
Authors: Benbouhenni Habib
Published: March 2023

Recently, direct power control (DPC) based proportional-integral (PI) controllers have become dominant for doubly fed induction generators (DFIGs) due to its simplicity and good dynamic response. But this strategy gives a high total harmonic distortion (THD) of the voltage and a large power ripple. In this paper, a new DPC method (called as NDPC-4L-NSVPWM) is proposed based on a four-level neural space vector pulse width modulation (4L-NSVPWM) and neural PI controllers for direct active and reactive powers command (DRAPC) of a DFIG integrated in a dual-rotor wind turbine (DRWT). This control scheme is based on direct reactive and active powers estimation. Theoretical principles of this strategy are presented along with simulation results. The advantages and robustness of NDPC-4L-NSVPWM control over other DPC with PI controllers (DPC-PI) are presented. The main advantages of NDPC-4L-NSVPWM strategy are relative to its good dynamic response, simplicity of the algorithm and operation at a constant switching frequency. Analysis of NDPC-4L-NSVPWM strategy based DFIG-DRWT has been done in MATLAB/Simulink software. Simulation results validate the performance of the NDPC-4L-NSVPWM strategy by evaluating the THD of current and the reduction of the ripples for the active/reactive power of DFIG-DRWTs.
Optimization of Wing Rib Configurations for Improved Aerodynamic Performance: A Computational Study
Authors: Dhakal Subash , Dhakal Sudip , Prakash Santosh
Published: March 2023

Abstract: This research paper presents a computational study on the optimization of wing ribs configurations for improved aerodynamic performance. The wing ribs play a crucial role in supporting the wing's shape and contour, and their design is critical for achieving optimal flight performance. An aircraft's wing is a complex structure because of the complicated way it responds to different loads and manoeuvres. The main objective of this study is to develop a more efficient and optimized rib structure that can improve the aerodynamic performance of the wing, specifically by reducing drag and increasing lift. The study uses computational fluid dynamics (CFD) simulations to analyze the aerodynamic performance of different wing rib configurations. The simulations are performed on a representative wing model, and different rib designs are evaluated to determine their impact on the overall aerodynamic performance. The results of the study demonstrate that the optimized rib structure can significantly improve the aerodynamic performance of the wing, with a reduction in drag and an increase in lift. The study also highlights the potential benefits of using computational techniques for designing and optimizing aircraft components, such as reducing design time and cost, improving accuracy, and enabling rapid prototyping. The findings of this study are expected to contribute to the development of more efficient and effective aircraft design processes, benefiting both the aviation sector and the public.
Problematika Komunikasi Politik Pendanaan Pembangunan Ibu Kota Negara Nusantara
Authors: Ma'mun Abdul Rahman
Published: March 2023

Tulisan ini membahas permasalahan kebijakan pemindahan Ibu Kota Negara (IKN) yang memunculkan kontroversi, gugatan dan penolakan dari sebagian masyarakat, meskipun telah didukung dengan Undang-undang IKN Nomor 3 Tahun 2022. Tujuan penulisan artikel ini adalah untuk menjawab pertanyaan bagaimana komunikasi politik kebijakan pemindahan IKN dan mengapa muncul problematika komunikasi politik mengenai pendanaan pembangunan IKN Nusantara? Teori komunikasi politik dari Pureklolon (2016) dan Harold D. Laswell (2016) digunakaan untuk menganalisis komunikasi politik dari para aktor, Pemerintah, kepada media maupun publik dengan ‘pesan’ mengenai pendanaan IKN. Sedangkan teori ekonomi politik dengan pendekatan klasik dari Caporaso (2008) digunakan untuk menganalisis pilihan kebijakan pendanaan IKN yang mendalkan swasta dan investor asing daripada APBN. Penelitian ini menggunakan metode kualitatif dengan analisis data secara induktif dan deskriptif analitis, yakni membangun pola-pola, kategori-kategori, dan tema-tema  dari bawah ke atas (induktif), dari observasi empirik fenomena sosial politik. Hasil pembahasan penelitian ini menunjukkan problematika komunikasi politik pendanaan IKN muncul karena 3 faktor, (1) Tidak ada rencana strategi komunikasi politik pemindahan IKN dalam Rencana Strategis Kementerian Komunikasi dan Informatika (Kemkominfo) 2020-2024 meski IKN merupakan program strategis nasional. Tidak jelas siapa ‘komunikator’ Pemerintah dan tidak ada ‘narasi tunggal’ sebagai ‘pesan’ utama komunikasi politik (2) Transparansi sumber pendanaan IKN dan bila pendanaan dari investor tidak sesuai harapan juga tidak jelas (3) Mitigasi komunikasi krisis tidak disiapkan untuk mengatasi komunikasi politik dengan calon invetstor ataupun publik. Ketiga faktor penyebab problematika komunikasi politik pendanaan IKN tersebut bila dibiarkan akan membuat publik cenderung meragukan bahwa isu pendanaan IKN akan mampu dikelola dengan baik oleh Pemerintah.
Desafíos de la Transformación Digital en las PYMES
Authors: Del Do Abel Marcelo , Villagra Andrea , Pandolfi Daniel
Published: March 2023

La transformación digital es un proceso de innovación disruptivo en las PYMES (Pequeñas Y Medianas Empresas) y amenaza la existencia misma de estas. El modelo comercial tradicional de las PYMES se ve desafiado por la presión de la digitalización impuesta por los competidores por un lado y por los cambios en los hábitos de compra de sus clientes por el otro. La mayoría de las iniciativas de transformación digital fracasan debido a que las organizaciones no cambiaron su mentalidad y procesos, o no construyeron culturas que fomentaran el cambio. Es por esta razón que, a pesar de todas las oportunidades habilitadas digitalmente para recuperar el poder competitivo, las PYMES todavía dudan en adoptar las tecnologías emergentes como herramientas y aplicaciones digitales.

El objetivo de este estudio es examinar los impulsores y las barreras de la transformación digital de las PYMES para identificar los posibles desafíos desencadenantes que puedan promover su transformación digital. Por lo tanto, realizamos una revisión sistemática de la literatura sobre las investigaciones que hay hasta el momento en la literatura académica, con el fin de identificar los habilitadores e inhibidores que encuentran las PYMES para llevar a cabo la transformación digital, y los desafíos que estas enfrentan en este proceso.

Los resultados indican una alta incertidumbre en las PYMES sobre qué hacer y dónde comenzar el camino hacia la transformación digital. La actitud positiva de las PYMES hacia la digitalización es el único motor. Además, las PYMES enfrentan múltiples barreras, incluida la falta de recursos disponibles, la baja percepción de presiones externas, las bajas intenciones de uso y el bajo empleo actual de la digitalización. El estudio revela que la adopción de una estrategia digital que facilite la incorporación de tecnologías emergentes y el desarrollo de capacidades de liderazgo digital podría funcionar como un disparador adecuado para promover la transformación digital en las PYMES y son puntos de partida prometedores.
3D printing methods used in engineering
Authors: Kopec Jan , Pekarcikova Miriam , Kliment Marek
Published: March 2023

3D printing as a functional Rapid Prototyping tool has been used for years, and along with the advancement of engineering technology, 3D printing technology is also developing and improving. This technology has not found representation only in the engineering industry, but across industries such as healthcare, construction, etc. In the end, I also present specific cases of the use of 3D in practice. From the most basic 3D printing with simple technology, several kinds of printing methods have evolved. From the point of view of simplicity for the novice user, the technology is FDM (Fused Deposition Modeling). With this 3D printing technology, the process of applying a thin layer of molten filament to the printing surface is used until a complete model is finally created. FDM is also characterized by the use of a wide range of materials, such as ABS, PLA, HIPS, PET-G but also wood or copper. Other methods I will describe are SLA, SLS, DOD-PolyJet. These are less available for use and acquisition by the average user, but are increasingly sought after, due to the expanded printing options. In the end, there is also an example that we processed for a company in the field of assembly.
Design of an automated plastic bag packaging machine
Authors: Vu Minh Tran , Cong Thiet Vu , Thanh Tung Tran
Published: March 2023

Thin plastic bags are common in Vietnam's sweets and food stores. Currently, due to the need to preserve dried goods, the majority of these items will be stored in fully sealed plastic bags. In order to improve package efficiency, design, and eliminate packaging errors, a completely automatic packaging machine is required to assure safety and cleanliness, enhance performance, and enhance the aesthetics of packaging designs. The study provided an approach for designing a prototype of plastic bag product packaging. Use the SolidWorks to design, analyse, and select materials based on machine concept. Then, an electrical and pneumatic system was constructed, followed by the fabrication and testing of a prototype to demonstrate the validity of the model.
Beyond transcoherent states: Field states for effecting optimal coherent rotations on single or multiple qubits
Authors: Goldberg Aaron Z. , Steinberg Aephraim M. , Heshami Khabat
Published: March 2023

Semiclassically, laser pulses can be used to implement arbitrary transformations on atomic systems; quantum mechanically, residual atom-field entanglement spoils this promise. Transcoherent states are field states that fix this problem in the fully quantized regime by generating perfect coherence in an atom initially in its ground or excited state. We extend this fully quantized paradigm in four directions: First, we introduce field states that transform an atom from its ground or excited state to any point on the Bloch sphere without residual atom-field entanglement. The best strong pulses for carrying out rotations by angle θ are are squeezed in photon-number variance by a factor of sincθ. Next, we investigate implementing rotation gates, showing that the optimal Gaussian field state for enacting a θ pulse on an atom in an arbitrary, unknown initial state is number squeezed by less: sincθ2. Third, we extend these investigations to fields interacting with multiple atoms simultaneously, discovering once again that number squeezing by π2 is optimal for enacting π2 pulses on all of the atoms simultaneously, with small corrections on the order of the ratio of the number of atoms to the average number of photons. Finally, we find field states that best perform arbitrary rotations by θ through nonlinear interactions involving m-photon absorption, where the same optimal squeezing factor is found to be sincθ. Backaction in a wide variety of atom-field interactions can thus be mitigated by squeezing the control fields by optimal amounts.
Advancing categories with functors of functors
Authors: Pierros Ntelis
Published: March 2023

In this document, we review the basics of category theory and functors
calculus, and we implement some novel concepts. In particular, we review
the concepts of category, functors, and natural transformations.
Furthermore we introduce the novel concept of func- tors of functors. We
illustrate these concepts with diagrams to ameliorate the expression of
these ideas. We conclude that these concepts open new avenues and are
advancing category.
The planning of green infrastructure using a three-level approach
Authors: Skujane Daiga , Spage Aiga
Published: March 2023

In recent years, global research in spatial planning has focused on the sustainable development of green infrastructure (GI) in order to reduce the consequences of urbanization processes on the ecological, socio-economic and visual quality of the environment. Problems with stormwater management, floods, storms and global warming in general are just some of the reasons why GI planning has gained popularity. According to other current strategies (EU Biodiversity Strategy, EU GI strategy, Green Deal initiatives, etc.), GI plans, which include social, economic and ecological aspects, are being developed for territories of different scales. Until recently, green infrastructure was just an added value to real estate, but today it plays a completely different, much more important role. In Europe, the GI planning process has already begun, with several European countries developing GI plans in urban environment, different scales across country and even at national level.
Depending on the scale chosen, the principles of GI planning differ. In European examples, GI is considered in large-scale regional landscapes, where the green network and connections are formed from natural areas, but at the urban scale, the creation of GI goes hand in hand with the creation of a green network in the city, connecting the largest green areas with each other (squares, parks, urban forests, etc.). However, in the scientific literature, the basic principles and the correlation of GI planning at different scales have not been widely studied and analyzed. Therefore, the purpose of the article is to define the main principles in the planning of GI in Latvia using a three-level approach. Each level corresponds to a specific scale of the territory, starting with the regional scale, moving to rural and urbanized areas and concluding with the site scale. Each lower level is subordinated to the highest, thus forming a single GI planning system. At each level, GI key planning principles and prerequisites to be considered are defined.
The town of Aizpute, its neighboring villages and rural areas in Latvia were chosen as a case study territory for the article. Article discusses the planning of GI in the context of three levels and also the different approaches of GI planning in the rural and urban landscape.
Inverse nodal problem for conformable Sturm-Liouville operator with jump conditions
Authors: Goktas Sertac
Published: March 2023

We consider a conformable fractional Sturm-Liouville problem with the
discontinuous(or jump) condition inside the interval. The asymptotic
formulas for the eigenvalues, nodal parameters (nodal points and nodal
lengths) of this problem are calculated by the modified Pr?fer
substitutions. Also, using these asymptotic formulas, an explicit formula
for the potential functions is given. After all, we discuss Lipschitz
stability for the considered problem.
p(x)-Laplacian-like Neumann problems in variable-exponent Sobolev spaces via topological degree methods
Authors: El Ouaarabi , Allalou Chakir , Melliani Said
Published: March 2023

In this paper, we investigate the existence of a ?weak solutions? for a
Neumann problems of p(x)-Laplacian-like operators, originated from a
capillary phenomena, of the following form {?div(
|?u|p(x)?2?u + |?u|2p(x)?2?u /?1 + |?u|2p(x))= ?f (x, u,?u) in ?,(|?u|p(x)?2?u + |?u|2p(x)?2 ?u/ ?|?u|2p(x)) ?u/?? = 0 on ??, in the
setting of the variable-exponent Sobolev spaces W1,p(x)(?), where ? is a
smooth bounded domain in RN, p(x) ? C+(??) and ? is a real parameter. Based
on the topological degree for a class of demicontinuous operators of
generalized (S+) type and the theory of variable-exponent Sobolev spaces, we
obtain a result on the existence of weak solutions to the considered
problem.
IUCN SSC guidelines on human-wildlife conflict and coexistence
Authors:   IUCN SSC Human-Wildlife Conflict and Coexistence Specialist Group
Published: March 2023

As human-wildlife conflicts become more frequent, serious and widespread worldwide, they are notoriously challenging to resolve, and many efforts to address these conflicts struggle to make progress. These Guidelines provide an essential guide to understanding and resolving human-wildlife conflict. The Guidelines aim to provide foundations and principles for good practice, with clear, practical guidance on how best to tackle conflicts and enable coexistence with wildlife. They have been developed for use by conservation practitioners, community leaders, decision makers, researchers, government officers and others. Focusing on approaches and tools for analysis and decision making, they are not limited to any particular species or region of the world.
Academic Stress Among Male and Female Students After the Covid-19 Pandemic
Authors: Ifdil Ifdil , Lela Lela , Syahputra Yuda , Fitria Linda , Zola Nilma , Pratiwi Fadli Rima , Barseli Mufadhal , Eka Putri Yola , Amalianita Berru
Published: March 2023

This study aims to describe the condition of students' academic stress and examine differences in academic stress in male and female students after the Covid-19 pandemic. This research is a comparative research obtained through random sampling. The sample of this study was 118 students consisting of several high schools in Padang City. Data was collected with an academic stress scale with 57 items. The analysis technique uses the item response theory (IRT) approach with the Rasch Model analysis. This study examines descriptive and differences with Welch with the help of WINSTEPS Version 4.7.0. The results show that there is a significant difference between male and female academic stress. Other findings found that women's academic stress tended to be higher than that of men, and what was interesting from this data was that there was a woman who was at the highest logit or an outlier, meaning that this woman needed to be given intervention to reduce her stress by providing individual counseling services. Based on the results of this study it is hoped that school counselors will focus more on women for academic stress prevention programs.
Peer Counseling as A Coping Strategy for Academic Stress and Burnout in Final-Year Students
Authors: Kushendar Kushendar , Maba Aprezo Pardodi
Published: March 2023

Academic stress is the pressure on students caused by competition and academic demands. This study examines and analyzes peer guidance and counseling (Peer Counseling) to reduce academic stress and academic burnout experienced by final-year students. The research method used was experimental research involving an experimental group and a control group (Pretest-Posttest Control Group Design), with each group member consisting of 20 participants, selecting participants based on a purposive sampling technique. Each participant was assigned a random assignment. The MANOVA test results showed that peer counseling reduced academic stress (F (2.24) = 101.769; ?p2 = 0.85; p <0.01) and burnout (F (2.24) = 21.769; ?p2 = 0.55; p <0.01). Furthermore, the Wilcoxon test results showed that in the experimental group, there was an enhancement in academic stress (Z = -2.82; p <0.05) and burnout (Z = -2.82: p <0.05). The control group showed an enhancement in burnout (Z = -2.17; p < 0.05), but academic stress showed there was no enhancement (Z = -0.34: p > 0.05). Peer counseling (peer counseling) based (on stress management) as a strategy to overcome academic stress and burnout in final-year students in Metro City.