bluuebunny/crossref_metadata_2025 huggingface dataset:
THE IMPACT OF COVID-19 PANDEMIC ON VULNERABLE GROUPS IN POST-DISASTER AREA
Authors: Ferianto Fiki , Hapsa Hapsa , Ramadhan Muzaik
Published: March 2024

The COVID-19 pandemic has caused economic crises in many parts of the world, including post-disaster areas in Indonesia. Various studies have found that COVID-19 has caused most people to lose their livelihoods, leading to more severe poverty. However, not much is known about the impact of COVID-19 on Vulnerable Groups in post-disaster areas. The approach used in this research is descriptive qualitative where data is collected through interviews, observation, and utilizing secondary data. This study found that the pandemic caused worse conditions for vulnerable groups in post-disaster areas. The impact can be seen from both social and economic aspects. Socially, the pandemic has changed the livelihood patterns of vulnerable groups, ranging from changes in the type and number of business products to changing professions from farmers to construction workers. In addition, female family heads and the elderly are often stigmatized during the pandemic. Violence against children has also increased significantly. Economically, the pandemic has led to an increase in the unemployment in the disaster area. Female heads of household have experienced shrinking incomes and have contributed to the poverty rate. Businesses in the affected areas have difficulty accessing capital due to lack of business legality from the government.
DEVELOPMENT OF THE MINAPOLITAN VILLAGE CSR PROGRAM MODEL PT. PERTAMINA RU II DUMAI
Authors: Wedayanti Made Devi , Yogia Moris Adidi , Prihatin Panca Setyo , Pulungan Boby Indra , Desriadi Desriadi
Published: March 2024

In an effort to improve the welfare of the fishermen community, PT. Pertamina RU II Dumai created the Minapolitan Village CSR program. However, in the implementation of the program there are still problems, First, the Minapolitan village development program has not made the right contribution to the results desired by the TUNA fishermen group. The second problem is that the form of assistance provided for the Minapolitan Village Program often fails and does not generate any profit for the Tuna Fishermen's Group. The aim of the research is to analyze the Development of the Minapolitan Village CSR Program Model PT. Pertamina RU II Dumai to the Tuna Fishermen Group. The research method uses qualitative methods. The findings on the Leadership indicator are implemented, the Proportion of Assistance indicator is quite implemented, the Transparency and Accountability indicator is Enough Implemented, the Area Coverage indicator is implemented, the Planning indicator is implemented, the Stakeholder Engagement indicator is Enough Implemented, the Sustainability indicator is not implemented enough, and the Real Results indicator is quite feasible. The conclusion of this study is the development of the Minapolitan Village CSR Program model by PT. Pertamina RU II Dumai for the Tuna Fishermen Group is more maximized on indicators that are quite implemented and not implemented.
VILLAGE GOVERNMENT MANAGEMENT ON THE EFFECTIVENESS OF ACHIEVING THE VILLAGE AUTONOMY PROGRAM THROUGH THE PERFORMANCE OF VILLAGE APPARATUSES IN GARUT REGENCY
Authors: Muchtar Muchtar , Hadita Akmala , Hermana Dody , Wufron Wufron
Published: March 2024

The village apparatus in the Garut Regency still needs to be fixed. It is suspected that the village autonomy program will be less successful because the management of village governance has yet to be implemented. This study intends to examine the influence of village government management on the effectiveness of regional apparatus in implementing the village autonomy program. Utilizing a survey approach, quantitative and descriptive analysis is the research methodology used. The research target group was 421 villages included in the village administration in Garut Regency, with 81 villages being the sample of 81 respondents. Statistical analysis method using path analysis is the applied data analysis technique. Based on the discussion results, the village government's management needs to disseminate development to the community optimally. The performance of the village apparatus could have been better for the independence of the apparatus in carrying out its duties and responsibilities and the effectiveness of the achievement of the village autonomy program. The findings of the research results are suggested to the government of Garut Regency to increase the effectiveness of achieving the village autonomy program to make clear and detailed village strategic policy formulations.
THE IMPACT OF TRIPLE F-CRISES (FUEL, FOOD, AND FINANCE) ON HOUSEHOLD CONSUMPTION IN INDONESIA
Authors: Sriyanto Sriyanto , Tambunan Maria R.U.D. , Arifin Bondi
Published: March 2024

Post-pandemic challenges are more formidable than during the pandemic. Global supply chain disruptions, geopolitical tensions, the war in Ukraine, and global warming all contribute to the emerging triple crises of fuel, food, and finance. These crises most affect vulnerable households. This study aims to examine the effects of the triple crises on household consumption using consumption theory based on the Keynesian economic model. This research performs a multiple regression model with time-variant and spatial fixed effects and clustering methods on four lower-decile of households across four years, 2019 – 2022, using Susenas data. The findings of the analysis are that the triple crises negatively impact household consumption, with the fuel and food crises showing a significant effect, while the financial crisis does not directly affect consumption. The study proposes a policy recommendation for the government to compensate households for the negative impact of the crisis by providing the amount and the type of policy. In addition, it is best to consider the timing and collaboration opportunity in the implementation phase and set policy success indicators for macro and micro evaluation.
ANALYSIS OF SUDAN'S POST-REFORMATION CONFLICT 2019: SUDAN ARMED FORCES (SAF) VS RAPID SUPPORT FORCES (RSF)
Authors: Nujuliyani Shelvy , Tirto Djayeng , Azhari Yulian , Widodo Pujo , Patmi Sri
Published: March 2024

This paper discusses the analysis of the post-reform 2019 Sudanese conflict between the Sudanese military or Sudan Armed Forces (SAF) against Sudanese paramilitaries or Rapid Support Forces (RSF). This research uses qualitative research methods through a juridical study approach to international humanitarian law. This law is a set of rules governing the law of armed conflict, armed conflict is divided into two: international armed conflict and non-international armed conflict. The conflict between the SAF and RSF is included in non-international armed conflicts. Based on ACLED data, this armed conflict has a major impact on aspects of life such as: civilians are fatalities; health facilities are not functioning; children who are unable to access education; until logistical access is disrupted. Thus, this conflict requires conflict resolution efforts using the multi-track diplomacy (MTD) method using the second track using non-state actors as mediators to build the game. Through the United Nations which encouraged the United States and Saudi Arabia as mediators who produced the Jeddah declaration.
TALENT MANAGEMENT IN SUPPORTING THE RATIONALIZATION OF CIVIL SERVICE (ASN) CAREER DEVELOPMENT MANAGEMENT AT THE MINISTRY OF MARINE AFFAIRS AND FISHERIES REPUBLIC INDONESIA
Authors: Yuliana Muammar , Sutrisno Edy , Asropi Asropi
Published: March 2024

This paper is conducted to analyze the rationalization of career development management through talent management policies. This paper uses qualitative methods and a descriptive approach. This research was conducted at the Ministry of Marine Affairs and Fisheries of the Republic of Indonesia (MMAF RI) which consistently applies talent management in supporting career development. The results showed that managing career development through talent management schemes is very important for personnel apparatus and HR management in achieving organizational and individual career goals. Civil services consider that talent management schemes can help them obtain better and structured career development. Meanwhile, the HR management apparatus views the talent management scheme as a tool to improve organizational performance and develop the competence of civil services. The study also shows that MMAF RI must implement several strategies to ensure the success of talent management schemes. These strategies include involving civil services in the career development process, providing relevant and consistent training and development, and providing constructive and ongoing feedback to civil servants. Career development through talent management schemes is very important for personnel apparatus and HR management in achieving organizational and individual career goals. This paper recommends MMAF RI adopt an integrated apparatus HR management strategy to ensure the success of the talent management scheme and improve overall organizational performance.
HOW IS THE DISTRICT HEALTH CENTER IMPROVING THE QUALITY OF HEALTH SERVICES IN THE KAMPAR KIRI TENGAH SUBDISTRICT?
Authors: Utama Putri , Hastuti Weni Puji
Published: March 2024

This research was conducted at the Kampar Kiri Tengah District Health Center, Kampar Regency. This research aims to determine the community health center's strategy for improving the quality of health services in the Kampar Kiri Tengah sub-district. Data was processed using qualitative descriptive methods. Data was obtained through direct observation, documentation, and interviews, where the respondents' answers were described and then analyzed by the author. In this research, the community health center's strategy for improving the quality of health services in the Kampar Kiri Tengah sub-district is seen based on the 2020 Strategic Plan (BLUD) of the UPTD Kampar Kiri Tengah Community Health Center, Kampar District Health Service regarding Program Strategy, Funding, Indicators, and Targets. From the results of program measurements for each indicator, the strategy for improving the quality of health services in the Kampar Kiri Tengah sub-district can be good. Efforts made by community health centers include establishing family health service programs, nutrition improvement programs, infectious disease eradication programs, environmental health programs, and health promotion efforts where the program aims to improve public health and provide good services
Evaluación de parámetros de calidad de naranja (Citrus × sinensis) en tres estados de madurez
Authors: Villares Joselyn , Cobos Mariela , Vásquez Lesly , Sarmiento Rocio , Maita Fanny , Freire Cindy , Alexis Lascano , Alvarado Jermis
Published: March 2024

En la Amazonía ecuatoriana los frutales son parte de la biodiversidad de la chakra y los cítricos es uno de los
grupos relevantes dado que tienen un sin número de usos y cuyos excedentes son usados para la comercialización en las ferias locales, por lo que está investigación busca evaluar naranjas en tres estados de madurez
mediante análisis físicos para la determinación del tiempo de cosecha. Se evaluaron los parámetros de calidad
de la naranja (Citrus × síntesis), en tres estados de madurez (inicial-medio-completo), se determinó: peso,
morfometría, color, firmeza y sólidos solubles. Las frutas se obtuvieron en el cantón Joya de los Sachas, se
recolectaron frutas libres de defectos considerables. Como resultado se obtuvo que la naranja pierde peso a
medida que transcurren los días. El diámetro se reduce desde el día 1 al 10 y a partir del día 7 la pérdida de
longitud es igual en los tres estados de madurez. La luminosidad es el valor del color que sufre mayores
cambios a lo largo del almacenamiento de la fruta. La firmeza disminuye más a partir del día 7. A medida que
el estado de madurez avanza mayor será la cantidad de sólidos solubles. El estado de madurez perfecto es el
medio, ya que ofrece un equilibrio entre alto contenido de azúcar y un peso y tamaño adecuados, beneficiando
tanto al agricultor como al cliente debido a su dulzura.
Palabras clave: cítricos, Amazonía, Ecuador, calidad, frutas, postcosecha
Heart failure prognostic algorithm using Spectral Analysis and MATLAB software.
Authors: Segundo Fabián Siza Moposita , Miguel Ángel Sáez Paguay , Yesenia Maricela Fiallos Godoy , Siza Gualpa Ricardo Fabián
Published: March 2024

Fourier analysis for biological signals is based on the use of the infinite sum of sines and cosines that allows
modeling: the periodic functioning of the heart, its amplitude, frequency, and phase period, transforming
these signals into images called ECG, based on studies and programs that model the ideal functioning of the
heart. In this work, a mathematical algorithm has been designed to predict the cardiac pathology called bradycardia, which relates the prolongation of the monthly QT interval in the order of 10-4 seconds/month in a
time of 10 years with the ventricular alteration. MATLAB software and spectral analysis are used to contrast
the spectrum without pathology, which contains harmonics of greater amplitude, with a spectrum already
with pathology that reaches heart failure, where the most significant number of harmonics are grouped in
the first values, and then the model with an exponential function the delay of the QT interval in the ECG,
concluding that up to 40 months after the onset of the pathology, the patient can counteract the disease. In
comparison, by 80 months, difficulties arise, even the disease becomes irreversible in the last months, and
the blood-propelling organ ceases to function.
Keywords: Heart Failure Prognostic, Bradycardia, Fourier Series, Spectral Analysis.
Predictive Model in Production through Progressive Web Applications to Forecast Moniliasis in Cacao.
Authors: Miranda Aracely , Bonifaz Byron , Chango Wilson , Aguilar Pedro
Published: March 2024

Cocoa is considered a significant crop in Ecuador, as it represents a favorable source of income for the country's economy, thanks to the remarkable quality of the product. However, it faces a significant issue in its
crops: moniliasis, a fungal disease that attacks cocoa cultivation, is present in most Latin American countries.
Consequently, this leads to decreased cocoa production and a lower final product quality. The study focuses
on designing a predictive production model through a progressive web application to forecast moniliasis in
cocoa. The objective is to create an application that anticipates the presence of this disease, thereby contributing to the improvement of the local economy for all farmers. Various methodologies were employed, including bibliographic methods, design science research methodology, and machine learning models. The results obtained from this research indicate that the Gradient Boosting Classifier is the algorithm that best fits
the provided dataset. Once this algorithm was identified, a progressive web application was developed and
made available for public use by farmers. Furthermore, the efficiency of the predictive model was verified
using the statistical method of central tendency, demonstrating that the predictive model is beneficial, primarily by saving farmers a significant amount of time. Anticipating the disease enables timely preventive and
corrective measures, which could reduce losses in cocoa production and enhance the quality of the final product.
Keywords: cacao, moniliasis, predictive model, progressive web apps, supervised learning
Análisis multitemporal de deforestación y cambio de la cobertura del suelo, en el cantón La Joya de
los Sachas, período 1990-2018.
Authors: Paredes-Arcos Fernando , Tinoco-Jaramillo Leider , Congo-Yépez Carlos , Vargas-Tierras Yadira
Published: March 2024

La Joya de los Sachas, es uno de los principales cantones productores de petróleo y productos agrícolas; sin
embargo, el incremento de la frontera agrícola ha ocasionado cambios importantes en la cobertura y uso del
suelo. Ante esta situación, el estudio tuvo la finalidad de conocer las causas y efectos que ha ocasionado el
cambio de cobertura para obtener las tasas anuales e índices de cambio de cobertura. El análisis se realizó
mediante el geoprocesamiento de información geográfica disponible en el portal del Ministerio de Ambiente
Agua y Transición Ecológica (MAATE) y el Instituto Geográfico Militar (IGM), se utilizó el método de tablas
de tabulación cruzada y sobreposición de capas para determinar el contraste de las coberturas entre las fechas
establecidas. Los resultados muestran un incremento acumulado de 17.626,5 ha de tierra agrícola y 16.767,6
ha de pasto en los últimos 28 años; las actividades agropecuarias se han convertido en la principal causa de
deforestación. Durante el período 1990-2018 se perdieron 36.413 ha de bosques, con una tasa anual de deforestación de 1.300 ha*año-1. Este comportamiento permitió estimar si la tendencia persiste, en 30 años aproximadamente La Joya de los Sachas perderá completamente el bosque. Además, las políticas públicas, dolarización, apertura de caminos y cambios en la actividad agrícola causaron impactos en las coberturas y usos
de suelo durante los tres periodos evaluados (1990-2000, 2000-2008 y 2008-2018).
Palabras Clave: Suelo, Uso de suelo, cobertura, tierra agrícola, pastizal, bosque, mapas.
Determination of the effectiveness of the electrocoagulation process in the treatment of leachate
from the controlled landfill site in Francisco de Orellana canton
Authors: Cumbicus Cristian , Hurtado Mayra , Coello Julio , Peñafiel-Arcos Pedro , Orejuela-Romero Jennifer Alexandra , Barahona Marcos
Published: March 2024

The inadequate management of leachate produced in landfill sites, sanitary dumps, or its incomplete
treatment generates significant environmental and public health impacts. These conditions are expected in developing countries and are a major concern, especially in sensitive areas like the Amazon.
This study used a laboratory-scale reactor to investigate the efficiency of electrocoagulation for removing BOD5, COD, TSS, turbidity, and color. Samples of raw leachate from the controlled landfill
site in Francisco de Orellana canton, located in the Ecuadorian Amazon, were used. First, the initial
conditions of the leachate were determined through a physicochemical characterization, where a reduced presence of heavy metals and high biodegradability were identified, suggesting that it is old
leachate. In turn, a reactor with 5 electrodes was installed, where aluminum was used as a cathode and
iron as an anode. Finally, electrocoagulation was employed with various operational combinations,
where a run using 2.5 V and 20 minutes showed the highest removal efficiency on average, with reductions of 85.23% of BOD5, 98.20% of COD, 11.30% of TSS, 96.52% of turbidity, and 90.73% of
color.
Keywords: Electrocoagulation; Leachate; Leachate treatment.
Determination of water quality through using bioindicators, physical-chemical and
microbiological analysis of the lagoon Santo Domingo of the national park Cotopaxi, province
of Pichincha, period 2018
Authors: Ceballos Peñafiel Karen Nathali , Quishpe Guanoluisa Moisés Alejandro
Published: March 2024

The current research project carried out in the Santo Domingo Lagoon of the Cotopaxi National Park, a
Protected Area that is located in the canton of Mejia, province of Pichincha, and retains their transcendental
goal to determine the water quality from the application of bioindicators and physical-chemical and
microbiological laboratory analysis.
They obtained results about the quality of water using bioindicators according to the methodology used
(scientific induction, inductive, deductive, measurement, quantitative), where samples were taken at five
specific points of entry and exit of the lake body in April, May and June, making use of water quality
identification techniques for tolerance; Biological Monitoring Working Part (BMWP/Col.), Ephemeroptera,
Plecoptera, Tricoptera (EPT), Andean Biotic Index (ABI), and Biotic Index of Families (IBF). Meanwhile,
the environmental quality indices were used for the physical, chemical and microbiological analysis: DINUS
- Fundación Nacional de Saneamiento (NFS), defining that the water conditions are wrong or contaminated.
By contrast, from the application of the BMWP/Col. and ABI indices, the water quality pertains to waters of
questionable and critical condition.
However, with the application of the BMWP/Col. and ABI indices, it was defined that the water quality
corresponds to waters of doubtful and critical condition, which are, in conclusion, very contaminated waters.
On the other hand, one of the techniques for using bioindicators from the IBF index yielded a different result
in areas of apparent organic contamination, determining that the Santo Domingo Lagoon demonstrates an
"excellent" indicator.
Keywords: water, analysis, bioindicators, quality, indices, lagoon.
Analysis of the feelings in the reviews of patients versus the evaluation of the ease of use, effectiveness,
and satisfaction of prescribed medications
Authors: Agudelo-Santos Carlos , Isaac Zablah Jose
Published: March 2024

The sentimental polarity of patients' medical treatments is decisive for therapeutic adherence, especially in
managing chronic diseases. Patients value the effects of medications differently, while health personnel do it
from a practical perspective. For this, patient reviews have been taken in unstructured text to the diversity of
drugs available on the WebMD site. A numerical assessment accompanies these data on a Likert scale of the
variables for "EaseofUse", "Effectiveness," and "Satisfaction". Using an NLP model called RoBERTa; the
opinions have been analyzed, finding that neutral opinions are maintained against positive scales of "EaseofUse" and "Effectiveness," but negative opinions regarding "Satisfaction," where the evaluations are divided
into the extremes. The analysis has been done statistically using frequencies and diagrams of pairs between
feelings and variables of interest.
Keywords: Natural language processing; sentiment analysis; BERT; medication satisfaction
Proposal of a topical alternative for Cutaneous Leishmaniasis
Authors: Sosa Lilian , Rincón María
Published: March 2024

Leishmaniasis is a group of diseases caused by a flagellated protozoan belonging to different species of the
genus Leishmania, causing infections of the skin (cutaneous Leishmaniasis), mucous membranes
(mucocutaneous Leishmaniasis) and internal organs (visceral Leishmaniasis)1
. This disease is present in 88
countries worldwide, mainly in South and Central America, Africa, Asia and Southern Europe 2. In Honduras,
this infection is endemic3, and by 2022, 1,565 new cases of cutaneous Leishmaniasis were reported4
. The
treatment of choice for all forms of this disease has been meglumine antimoniate, known commercially as
Glucantime® (AMG), which is distributed for intravenous (IV) administration and produces adverse effects
such as fever, nausea, vomiting, abdominal pain and nephrotoxicity. In some cases, it may be necessary to
adjust the dosage of the drug or discontinue treatment if side effects are severe5
. Another therapeutic option
for the treatment of cutaneous Leishmaniasis is Amphotericin B deoxycholate (AMB), which, like AMG, is
administered by IV but produces immediate adverse effects such as fever, chills, nausea, vomiting, headache,
anaphylactic shock, arrhythmias and liver failure6
. Although lipid formulations of AMB have been developed
to reduce the toxic effects of the molecule and improve its effectiveness (liposomal, lipid complex, colloidal
suspension), these presentations are expensive and make it impossible for patients to purchase this treatment.
Likewise, there are less risky alternatives such as intralesional application with AMG and thermotherapy7
.
However, despite the efforts to research and develop new treatments, no topical treatment for cutaneous
Leishmaniasis has been marketed. Topical treatments offer several advantages, including localized action,
reduced systemic side effects, convenience of use and rapid absorption, making them a practical option for
treating various medical and dermatological conditions. In this regard, we propose the development of a
potential product that can be easily and rapidly prepared in a magistral formulation as a therapeutic alternative
to Cutaneous Leishmaniasis.
Phytochemical analysis underlying membrane stabilization and anti-oxidant promising potentials of Acacia nilotica seed extract
Authors: Abubakr El-Mahmoudy , Mokhimar Haitham , Farid Ayman
Published: March 2024

This study has aimed to evaluate the Acacia nilotica seed extract as a natural antioxidant and membrane stabilizer, as well as screening phytochemicals contained in the extract that may underline these activities. Antioxidant activity was evaluated using Phospho-molybdenum and DPPH antioxidant assays; membrane stabilization was evaluated using HRBC-MS assay, whereas phytochemicals were detected using qualitative analytical tests. Acacia nilotica hydro-methanolic extract exhibited potent, concentration (4-512 μg/mL)-dependent antioxidant activity indicated by Phospho-molybdenum and DPPH antioxidant assays, with IC50 values of 100.5 and 33.19 μg/mL, respectively. In addition, the extract exerted membrane stabilizing effects in a concentration (4-512 μg/mL)-dependent manner, with an IC50 value of 41.47 μg/mL. Phytochemical analysis of the plant extract clarified the active biological constituent(s) underlying these effects, including tannins, saponins, gums, flavonoids, anthraquinone glycosides, carbohydrates and proteins. These data may suggest Acacia nilotica extract, according to in vitro assays, as a highly potent antioxidant and membrane stabilizer derived from nature and could be applied as an adjunct therapy in disease conditions associated with inflammation and oxidative stress.

Keywords: Acacia nilotica; antioxidant; membrane stabilizer; anti-inflammatory.
Detection of arsenic and lead ions in water through validation of the electrothermal atomic absorption
method
Authors: Vargas-Tierras Tannia , Morales-León Vanessa , Andi-Barrera Sharon , Toapanta-Topón Rubén , Morales-León María , Segovia-Tello Lissette , Lara-Villegas Viviana
Published: March 2024

The validation of the electrothermal spectrometry method for Arsenic and lead determination in water samples
guarantees the quality of analytical data. The study was carried out at AQLAB. A theoretical and technical
investigation was applied to ensure the reliability and accuracy of the analytical method. Parameters such as
INEN standards, Eurachem international standards, AQLAB internal documents and environmental standards
were used to validate the process. Several readings were performed on different samples to make calibration
curves for As and Pb, evaluate the method's linearity, and obtain information on the slope, intercept and determination coefficient. Statistical calculations were used to determine the limit of detection and quantification,
repeatability, reproducibility, trueness and uncertainty. The results show that the hypotheses were fulfilled,
calibration curves with determination coefficient higher than 0.995, repeatability standard deviation lower
than 16%, calculated F < critical F (4.96), calculated t student < theoretical (2.23), trueness was between
100.29-110.18 and 99.64-107.92%, uncertainty was 20% range 0.005 to 0.10 mg/L and 15% range 0.01-
0.20mg/L, limit of detection was 0.001 and 0.005 mg/L and limit of quantification was 0.01 and 0.02mg/L,
respectively. Therefore, the validation method was robust and accurate.
Keywords: water samples, analytical data, reliable results, Arsenic, Lead, validation
Microorganisms associated with bacterial wilt disease in Dendrocalamus
asper (Giant Bamboo) from Ecuador
Authors: Morante-Carriel Jaime , Vera-Carranza Marlon , Belezaca-Pinargote Carlos , Carranza-Patiño Mercedes , Herrera-Feijoo Robinson J.
Published: March 2024

Dendrocalamus asper (Bamboo) is an essential component of forest
ecosystems, whose health and survival are intrinsically linked to complex
interactions with its microbiome. This study focuses on the pathogenic
dynamics between the fungi Arthrinium spp. and Erwinia spp. Bacteria and
their impact in the shoots wilting and culm rot in bamboo. Through humid
chamber induction methods and selective cultivation techniques, pathogenic
strains that significantly affect the regeneration and propagation of bamboo
were identified and isolated. The investigation revealed a pathogenic
synergy resulting in a high prevalence of diseases, 97% of the shoots
evaluated showed signs of deterioration. Morphological identification
challenged conventional techniques due to the variability of Arthrinium
spp—conidia, suggesting the need for more specific identification methods.
The findings suggest that regulating soil pH and using beneficial biofilms
could be promising strategies to mitigate bacterial infection. This study
highlights the importance of sustainable management and in-depth knowledge
of microbial ecology for integrated disease management in bamboo ecosystems.
Understanding these microbial interactions is crucial for developing
effective control strategies and long-term conservation of these vital
ecosystems. Keywords: Dendrocalamus asper, Arthrinium spp., Erwinia spp.,
bacterial wilt, disease management
Empathic Conversational Agent Platform Designs and Their Evaluation in the Context of Mental Health: Systematic Review (Preprint)
Authors: Sanjeewa Ruvini , Iyer Ravi , Apputhurai Pragalathan , Wickramasinghe Nilmini , Meyer Denny
Published: March 2024

BACKGROUND

The demand for mental health (MH) services in the community continues to exceed supply. At the same time, technological developments make the use of artificial intelligence–empowered conversational agents (CAs) a real possibility to help fill this gap.

OBJECTIVE

The objective of this review was to identify existing empathic CA design architectures within the MH care sector and to assess their technical performance in detecting and responding to user emotions in terms of classification accuracy. In addition, the approaches used to evaluate empathic CAs within the MH care sector in terms of their acceptability to users were considered. Finally, this review aimed to identify limitations and future directions for empathic CAs in MH care.

METHODS

A systematic literature search was conducted across 6 academic databases to identify journal articles and conference proceedings using search terms covering 3 topics: “conversational agents,” “mental health,” and “empathy.” Only studies discussing CA interventions for the MH care domain were eligible for this review, with both textual and vocal characteristics considered as possible data inputs. Quality was assessed using appropriate risk of bias and quality tools.

RESULTS

A total of 19 articles met all inclusion criteria. Most (12/19, 63%) of these empathic CA designs in MH care were machine learning (ML) based, with 26% (5/19) hybrid engines and 11% (2/19) rule-based systems. Among the ML-based CAs, 47% (9/19) used neural networks, with transformer-based architectures being well represented (7/19, 37%). The remaining 16% (3/19) of the ML models were unspecified. Technical assessments of these CAs focused on response accuracies and their ability to recognize, predict, and classify user emotions. While single-engine CAs demonstrated good accuracy, the hybrid engines achieved higher accuracy and provided more nuanced responses. Of the 19 studies, human evaluations were conducted in 16 (84%), with only 5 (26%) focusing directly on the CA’s empathic features. All these papers used self-reports for measuring empathy, including single or multiple (scale) ratings or qualitative feedback from in-depth interviews. Only 1 (5%) paper included evaluations by both CA users and experts, adding more value to the process.

CONCLUSIONS

The integration of CA design and its evaluation is crucial to produce empathic CAs. Future studies should focus on using a clear definition of empathy and standardized scales for empathy measurement, ideally including expert assessment. In addition, the diversity in measures used for technical assessment and evaluation poses a challenge for comparing CA performances, which future research should also address. However, CAs with good technical and empathic performance are already available to users of MH care services, showing promise for new applications, such as helpline services.
Age and Gender Classification Using Convolutional Neural Network
Authors: Saidulu Golla
Published: March 2024

Abstract: Now a days Age and gender are two crucial facial traits that influence social relationships. Human age and gender are determined by identifying facial images. This research focuses mostly on real-time applications like biometric verification and aging analysis. Age groups include child, young, adult, and old. Gender classification is the process of classifying males and females based on face images. CNN is used to classify people by their age and gender. CNN (Convolutional Neural Network) is used for analyzing visual data. CNN models are a superior type of image classification that, when compared to support vector machine performance on the dataset, where the UTK Face, Tuftes face dataset has 15171 photos, in order to increase the heterogeneity of the training and facial recognition on the dataset.
Digital Evidence Protection System Using Blockchain Technology
Authors: Reddy Reddyvari Venkateswara
Published: March 2024

Abstract: Evidence may be stored and accessed in a safe, unhackable manner with the help of a blockchain-based evidence protection system, guaranteeing the evidence's integrity and authenticity. It can stop illegal access and tampering while facilitating effective and trustworthy access to evidence. In order to handle numerous users and substantial amounts of evidence, the system can be both scalable and reasonably priced. It can also satisfy legal and regulatory standards for the preservation and protection of evidence, offering a safe and impenetrable record of evidence. When evidentiary integrity is critical, such a system can be helpful in court cases, criminal investigations, and insurance claims. All things considered, the mechanism for protecting evidence can guarantee that justice is done and that the integrity of the evidence is preserved.
Examining Cognitive Functioning and Academic Stress in High School Students Implications for Education and Well-Being
Authors: Malik Sarika
Published: March 2024

Abstract: Investigates the relationship between working memory, attention performance, academic stress, and mental health among high school students. Working memory and attention performance are fundamental cognitive abilities crucial for academic success. Through surveys and cognitive assessments, a sample of high school students underwent evaluation to gauge their working memory, attention performance, academic stress levels, and mental health status. The results suggest a significant association between working memory, attention performance, and academic stress levels. Students with lower working memory and attention performance tend to experience elevated levels of academic stress. Moreover, the study identifies a correlation between academic stress and mental health issues like anxiety and depression in high school students. This research underscores the importance of addressing cognitive functioning in educational interventions aimed at mitigating academic stress and promoting mental well-being among high school students. By enhancing working memory and attention performance through targeted interventions, educators and mental health professionals can potentially alleviate the adverse effects of academic stress on students' mental health, thereby cultivating a healthier learning environment conducive to academic success and overall wellbeing
Study of Metal Chalcogenide Material for Optical and Electrical Properties
Authors: Biswas Soham
Published: March 2024

Abstract: Metal chalcogenide materials offer a complex tapestry of optical and electrical properties that engage researchers from a variety of disciplines, making their study an important area of study in materials science. This abstract light up the dual nature of these materials and their possible uses by exploring the complex interactions that exist between structure, composition, and functioning. The search for new materials with customised optical responses has focused attention on the optical characteristics of metal chalcogenides recently. Optoelectronic device improvements are made possible by the versatile platform provided by the bandgap engineering in these compounds for altering light-matter interactions. A thorough understanding of metal chalcogenides' optical properties is provided by examining their absorption and emission spectra, quantum yield, and nonlinear optical behaviours. This knowledge is essential for the creation of sensors, photodetectors, and light-emitting gadgets of the future.
Creating a Multi-Purpose Floor Cleaning Robot
Authors: Khandait Dr. P. D.
Published: March 2024

Abstract: Traditional floor cleaners which rely on electricity; find widespread use in areas such as airports, railway platforms, hospitals, bus shelters, shopping malls, and various commercial spaces. These devices rely on electricity for operation, posing limitations on their usage. In regions like India, where power crises are prevalent, especially during summer, the effectiveness of floor cleaners is significantly hindered, particularly in bus stands. Therefore, there arises a need to develop an affordable and user-friendly battery-operated floor cleaner. This paper tries to create a multifunctional floor cleaning machine as an alternative to conventional electric models. The work includes modeling and analyzing the floor cleaner using relevant software.
Wild Animal Intrusion Detection System Using Raspberry PI
Authors: Mane Tanaya
Published: March 2024

Abstract: This project is used to protect the farmland from animals by using Raspberry pi. Wild animals are special challenge for the farmers throughout the world. Animals like wild boars, elephants, monkeys etc. cause serious damage to crops. In this project we are presenting a procedure to ward them off, by creating a system which detects the animal and creates the different sound that irritates the animal. After the detection the intimation is sent. Wild Animal Intrusion Detection System (WAIDS) is a technologically advanced solution designed to monitor and detect the presence of animals in specific areas, with applications ranging from wildlife conservation to agricultural protection. This system integrates data processing algorithms, and communication mechanisms to accurately identify and respond to animal intrusions
Arduino Robot Arm – Controlled by Human Gestures
Authors: Tikam Soham
Published: March 2024

Abstract: This paper presents the development and implementation of a Arduino Robot Arm controlled by human gestures. The project, named , explores the integration of hand gestures to control a six-axis robotic arm. The system utilizes flex sensors and accelerometers in a robotic glove to capture human gestures, enabling intuitive control of the robotic arm. The paper discusses the hardware components, assembly process, and the software implementation for gesture-based control. The presented solution offers a cost-effective alternative to commercial robotic arms, providing a platform for experimentation and customization.
Sensitive and Obscene Content Blocker (SOCB)
Authors: Shingre Manish
Published: March 2024

Abstract: In today’s digital age, the internet is a vast and diverse platform that offers a wealth of information and entertainment. However, this openness also exposes users to sensitive and obscene content, which can have a detrimental impact on individuals, particularly children and vulnerable populations. To mitigate the exposure to such content, a Sensitive and Obscene Content Blocker has been developed and tested. This paper explores the design, development, and evaluation of a comprehensive content filtering system that is aimed at identifying and blocking sensitive and obscene content across various online platforms. The system employs advanced algorithms, machine learning techniques, and real-time content analysis to ensure a reliable and robust filtering mechanism. The paper outlines the key components of the blocker, including content analysis methods, their detection and classification methods. The study presents the results of extensive testing, demonstrating the system’s efficiency in blocking inappropriate content while minimizing false positives. The Sensitive and Obscene Content Blocker serves as a powerful tool to protect individuals from harmful online content, promoting a safer and more secure digital environment. This paper provides valuable insights into the development and implementation of content blockers and their role in enhancing online safety and security.
Experimenting with the Utilization of Recron3S Fiber and Steel Slag in Fresh Concrete for Analysis
Authors: Vishwakarma Priyanka
Published: March 2024

Abstract: Concrete is well-known for being the most frequently utilized construction material due to its affordability, longevity, and adaptability. However, traditional concrete production requires a large amount of cement and aggregate, raising concerns about its environmental impact and depletion of natural resources. In order to address these issues and promote sustainability, we have been exploring alternative materials like Recron3s polyester fiber and steel slag. Recron3s fiber can enhance the flexibility of concrete, making it a valuable addition. On the other hand, the steel industry generates a byproduct known as steel slag, which presents environmental challenges and disposal issues. Nonetheless, when incorporated into concrete, steel slag can improve the mechanical and physical properties of the material, increasing its durability. Our research focuses on replacing OPC 53 grade cement and natural aggregate with Recron3s fiber and steel slag aggregate, respectively. Different percentages of steel slag aggregate (0%, 20%, 25%, 30%) and Recron3s fiber (0%, 1.25%) were used as substitutes for traditional materials in M30 grade concrete with a water-cement ratio of 0.44. We created concrete mixes by partially replacing OPC 53 with Recron3s fiber and substituting natural aggregate with steel slag aggregate to evaluate the performance of eco-friendly concrete. We then evaluated the performance of these mixes through workability tests such as slump cone, vee-bee consistometer, and compaction factor test. Overall, incorporating Recron3s fiber and steel slag aggregate into concrete has yielded positive results in enhancing mechanical properties and reducing environmental impact.
Review of Treatment Methods for Enhancing Recycled Concrete Aggregates Properties
Authors: Dharmadhikari Suyog
Published: March 2024

Abstract: The use of recycled concrete aggregates (RCA) as a potential substitute for natural aggregates in concrete production has been recommended by many research studies due to the environmental and cost benefits associated with it. However, due to RCA’s high-water absorption, its engineering properties are lower than natural aggregates (NA). Therefore, researchers have also suggested various pretreatment methods to enhance RCA's mechanical and durability properties, including thermal, mechanical, and chemical treatment. In this study, an attempt has been made to investigate the combined effect of heat, abrasion, and fly ash slurry pretreated RCA on the workability and compressive strength of recycled aggregate concrete (RAC) using superplasticizer for 0.4, 0.5, and 0.6 w/c ratio. The study results show that pretreatment of RCA along with the addition of superplasticizer can lead to higher workability and compressive strength of recycled aggregate concrete (RAC) compared to untreated RCA.
Cabin Visitors Priority Resolver Management System Using Bluetooth
Authors: Chougule Prajkta S.
Published: March 2024

Abstract: The purpose and goal of this project is to developed a cabin visitors priority resolver management system using Bluetooth. The system will be used to manage the flow of visitors to cabins in order to prioritize those who have the most urgent need to enter. The system will use Bluetooth Low Energy (BLE) beacons to detect the presence of visitors near cabins and then use a priority queue to determine who should be allowed to enter first. This project aims to develop a Visitor Priority Resolver Management System for an HOD (Head of Department) cabin using Bluetooth technology. The system leverages Bluetoothenabled devices to streamline visitor prioritization based on predefined criteria. It enhances efficiency by automating the checkin process, ensuring a seamless experience for both visitors and the HOD. The Cabin Visitors Priority Resolver Management System aims to streamline visitor prioritization in cabins using Bluetooth technology. By leveraging Bluetooth-enabled devices, the system will automatically detect and categorize visitors based on predefined priority levels. This enhances security and efficiency, allowing for seamless access control and prioritized handling of guests.
Plant Disease Detection and Classification by Deep Learning: A Review of Literature
Authors: Sharma Nishchal
Published: March 2024

Abstract: Deep Neural network has revolutionized pattern recognition using image data. Its application to life sciences has proven to be a great tool. Using various approaches to recognize patterns within images, it has been possible to create automatic system to analyse plant health and diseases at an exponential pace. This paper reviews the recent progress in this field.
Go digital MSMEs training to support women's empowerment program on Laiya Island, South Sulawesi
Authors: Seniwati S. , Atiyah Ummu , Rahmatia R. , Lumumba Patrice , Amri Khairul
Published: March 2024

This community service activity aims to provide knowledge about the benefits of the digitalization program and the importance of empowering women to achieve gender equality and to improve people's skills in using digital systems by utilizing marine products by making and processing fish balls and learning how to package them.  Community service activities were carried out on Laiya Island, Pangkep Regency, South Sulawesi Province, Indonesia from March to June 2023. This activity is divided into two stages. The first stage is digital marketing outreach and women's empowerment. At this stage, the proposing team provided material about the importance of empowering women, especially in processing marine products. We also explained the importance of empowering MSMEs by involving women on the island. In the second stage, we conducted training on the use of marine products, especially fish, as the main livelihood on this island. We teach participants how to process and package fish balls and market them online. One of the market attractions lies in digital packaging and marketing. Participants who take part in this activity generally understand how to make packaging in a simple way. At this level, participants are able to explain the importance of women's empowerment programs in supporting the improvement of community or family welfare. The results of the service increase participants' understanding and skills in online social media at the basic stage.