bluuebunny/crossref_metadata_2025 huggingface dataset:
Efektivitas Aplikasi Sidoarjo Tanggap ‘Sigap’ dalam Penanggulangan Bencana di Kabupaten Sidoarjo
Authors: Fadia Dwi Nurdianty  , Diana Hertati
Published: April 2024

Sidoarjo Regency is one of the areas in East Java Province which has the potential for natural and non-natural disasters. So this disaster needs to be overcome with the role of the Sidoarjo Regency BPBD in efforts to deal with the impact of the disaster. So the Sidoarjo Regency BPBD created the Sidoarjo Response Application 'Sigap' which functions for the community if a disaster occurs or is affected by a disaster in the community. This research uses a qualitative method with a descriptive approach using primary and secondary data obtained through observation, interviews and documentation. The focus of this author's research is the effectiveness of the Sidoarjo Response 'Sigap' application in disaster management in Sidoarjo Regency. The results of this research explain that the Sidoarjo Regency BPBD has carried out its role in efforts to increase the effectiveness of the Sigap Application according to its duties and functions, namely: 1). System Quality 2). Information quality 3). Service Quality. There are obstacles or obstacles to research, namely the activities of village communities, but these obstacles can be minimized through the decision of the District BPBD. Sidoarjo. Supporting Factors are the involvement of all elements of Sidoarjo Regency society in participating in activities provided by agencies related to the Effectiveness of the Sigap Application in Disaster Management in Sidoarjo Regency.
Pengaruh Green Product dan Brand Image terhadap Customer Loyalty Melalui Customer Satisfaction Sebagai Variabel Intervening: Studi pada Konsumen Produk Oriflame di Surabaya
Authors: Dhiya’ Ayu Adibah  , Budi Prabowo
Published: April 2024

This research aims to determine and analyze the influence of green products on customer satisfaction, the influence of brand image on customer satisfaction, the influence of green products on customer loyalty, the influence of brand image on customer loyalty, the influence of customer satisfaction on customer loyalty, the influence of green products on customer loyalty through customers. Satisfaction and the Influence of Brand Image on Customer Loyalty Through Customer Satisfaction among Oriflame Product Consumers in Surabaya. The population in this research is Oriflame Product Consumers in Surabaya. The sample used was 100 taken using purposive sampling technique. Data analysis in this research used SEM-PLS with SmartPLS software version 4.0. The research results show that Green Product (X1) has a significant effect on Customer Satisfaction (Z). Brand Image (X2) has a significant effect on Customer Satisfaction (Z). Green Product (X1) has no significant effect on Customer Loyalty (Y). Brand Image (X2) has a significant effect on Customer Loyalty (Y). Customer Satisfaction (Z) has a significant effect on Customer Loyalty (Y). Green Product (X1) has a significant effect on Customer Loyalty (Y) through Customer Satisfaction (Z). Brand Image (X2) has a significant effect on Customer Loyalty (Y) through Customer Satisfaction (Z).
Peran Pusat Pembelajaran Keluarga dalam Kontrol Parenting Era Digital di Kelurahan Bendul Merisi Kota Surabaya
Authors: Mohammad Rexy Prayitno  , Bayu Priambodo
Published: April 2024

The Family Learning Center plays a significant role in developing parenting control within a family to prevent negative impacts that could harm the moral values of the nation's successors. Through programs implemented by the central government, the Family Learning Center provides an understanding to the citizens about the importance of monitoring their families. This research focuses on the application of the Social Change and Communication Theory by Rogers & Kincaid. Data analysis is conducted using the interactive model by Miles and Huberman in a gradual and interactive manner on the predetermined data. The Family Learning Center plays a crucial role in improving the well-being of a family. By utilizing direct communication methods at the neighborhood community hall (RW), the program has been successfully completed according to the set targets.
Implementasi Program Kalimasada dalam Tertib Adminduk di Kelurahan Benowo Kecamatan Pakal Kota Surabaya
Authors: Arindra Saskia Maya Risty  , Ananta Prathama
Published: April 2024

Population Administration is a very important thing in the life of a country. If people are orderly in population administration then all matters in population administration will be very easy, otherwise if it is not orderly it will be the opposite. Orderly Administering also has a big influence on the country. If the community has orderly administration then all governance processes will always be easy. Unfortunately, in Indonesia, most people are not orderly in Adminduk. Therefore, the government issued the Kalimasada Program or Adminduk Aware Community Environmental Area. One of them, Benowo Village, with a fairly dense population, has been successful in implementing the Kalimasada Program, 85% of which has been completed. This research aims to find out how the implementation of the Kalimasada Program in Benowo Village is said to be successful. This research is a qualitative descriptive research, and the location of this research was carried out in Benowo Village, Pakal District, Surabaya City. Based on the research results, it can be seen that the Kalimasada Program has been considered successful in being implemented in Benowo Village. With house-to-house surveys and interviews, this program can be implemented more quickly among residents. Many residents have carried out renewal and registration of administrative documents such as renewing family cards, making birth certificates and death certificates, making KIA and new records. With the assistance of supporting actors, namely MSib intern students, Head/Mrs. RT, KSH, and sub-district officers. It is hoped that with the running of this program the public will become more aware of the importance of parent administration and always updating the data.
Penerapan Prinsip Paradigma Good Governance dalam Implementasi Program Puspaga Balai RW: Studi Kasus Kelurahan Banyu Urip, Kecamatan Sawahan Kota Surabaya
Authors: Muhammad Faza Zakiy Makarim  , Indira Arundinasari
Published: April 2024

Domestic violence or (KDRT), is a phenomenon of social problems within the family sphere that is rife in Indonesia, especially in big cities such as Surabaya as a result of economic problems, overcrowding and other problems. Responding to this problem, the Surabaya City Government initiated a Family Learning Center (Puspaga) program which was inaugurated in 2017. One of the areas that held the Puspaga program was RW 3 Banyu Urip Village, Sawahan District, Surabaya City. This study aims to reveal the principles  of good governance contained in the implementation of Puspaga program policies in RW 3. Policy implementation analysis uses Edward III's policy implementation model which consists of four aspects, namely communication, resources, disposition, and bureaucratic structure. The research uses qualitative approaches and descriptive methods in the elaboration of research data. Research data collection techniques were carried out on secondary data in the form of literature studies, and on primary data using in-depth observation methods and closed interviews. The data analysis technique uses the Miles and Huberman analysis model. The research suggests that the Puspaga policy implementation program has run well and meets six  principles in good governance, namely the principles of professionalism, accountability, transparency, excellent service, democracy and participation, efficiency and effectiveness, rule of law, while in the principle of transparency no data on budget resources was found due to limited researchers in finding informants.
Analisis Pengungkapan Informasi Penerapan Reklamasi Pascatambang dalam Laporan Keberlanjutan Berdasarkan Ketentuan Peraturan Menteri ESDM No. 07 Tahun 2014
Authors: Linardo Giandrew , Permatasari Paulina , Hartono Leni
Published: April 2024

Mining is an activity that utilizes and manages natural resources to meet human needs. In the mining sector, if the mining process is not managed well, mining activities can cause environmental damage such as the decline in soil and water conditions on mining land, disruption of biodiversity, and disruption of social, cultural and economic life in the surrounding community. In this case, mining companies need to carry out post-mining reclamation to reduce the impact of environmental damage. Post-mining reclamation activities need to be disclosed by the company in the sustainability report. This research aims to determine the analysis of disclosure of information on the implementation of post-mining reclamation in the 2021 sustainability report and analyze the suitability of the disclosure based on the provisions of Minister of Energy and Mineral Resources Regulation No. 07 of 2014 (articles 12&16). This research was conducted on coal mining companies that were listed on the Indonesia Stock Exchange (BEI) in 2021. The total sample taken was 34 company units selected using a non-probability sampling technique, namely Purposive Sampling. Based on the criteria created, 13 mining companies were selected and then content analysis and scoring techniques would be carried out based on the criteria in the regulations used. The results of the research analysis show that the disclosure of post-mining reclamation information is still less than optimal/maximum. Based on the established criteria, the average suitability of information disclosure is still quite low, in the range of 45-50%. Thus, mining companies must remain consistent in publishing sustainability reports and need to increase the suitability of disclosure of post-mining reclamation activities in accordance with applicable regulations. For further research, more variables, company sectors and regulatory references should be used to analyze the disclosure of a company's sustainability report.
RANCANG BANGUN JEMURAN PAKAIAN PINTAR BERBASIS IOT MENGGUNAKAN PLATFORM THINKSPEAK
Authors: Parlaungan S. Timbo Faritcan , Faelasivah Fiky , Anestasya S Sellyna
Published: April 2024

Ketergantungan manusia pada panas matahari untuk mengeringkan pakaian belum dapat ditinggalkan, karena belum adanya alat dan teknologi . Pemanasan global yang sekarang ini sedang terjadi menyebabkan musim di Indonesia menjadi kurang menentu, sehingga musim kemarau dan musim penghujan sudah tidak dapat diprediksikan lagi. Tujuan dari penelitian ini adalah merancang sistem tempat jemuran pakaian berbasis IOT dalam mengeringkan pakaian secara efisien dengan memilah berdaskan cuaca[1]. Perancangan masalah jemuran ini menggunakan Arduino Uno sebagai pengolah data, sensor LDR dan sensor Hujan sebagai parameter untuk mendeteksi cuaca. Hasil dari sensor tersebut dikirim melalui modul ESP8266 ke platform Thingspeak untuk ditampilkan pada sistem. Fungsi sistem perancangan ini yaitu servo akan secara otomatis membuka dan menutup sesuai dengan cuaca yang di input oleh sensor cahaya dan hujan.[2]
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN STATUS GIZI BALITA PADA DINAS KESEHATAN KABUPATEN ALOR MENGGUNAKAN ALGORITMA C4.5
Authors: Molina Jon Idrison , Malese Lasarus Pelipus
Published: April 2024

Assessment of nutritional status plays a very important role in monitoring children's nutrition. If the assessment of nutritional status is carried out correctly and accurately, signs or symptoms of impaired growth and development in children can be identified early so that mitigation and prevention can be carried out in an effort to improve the nutritional status of children under five. And the occurrence of nutritional problems can be minimized. For this reason, determining the nutritional status of toddlers must be done quickly and accurately. Puskesmas as the technical implementer of the Health Service, has the main task of collecting data and assessing the nutritional status of toddlers and submitting the results of the assessment to the Health Service. The determination of nutritional status that has been carried out is by looking at and calculating the standard anthropometric table for assessing the nutritional status of toddlers according to the Decree. Minister of Health Number: 1995/Menkes/SK/XII/2010. However, Puskesmas are often slow in treating large numbers of patients and also have limited resources, especially in areas where there is a shortage of medical personnel. So this also influences the results of the assessment of determining the nutritional status of toddlers. For this reason, the Health Service needs to provide an optimal method for determining the nutritional status of toddlers to be used by Community Health Centers to determine the nutritional status of toddlers quickly, precisely and accurately. So researchers have conducted research and produced a decision support system for determining nutritional status in toddlers using the C4.5 algorithm. Test results to measure algorithm performance using the Confusion Matrix, Accuracy, Precision and Recall testing method, it is known that the C4.5 algorithm has an accuracy value of 72.13 %, Precision value 71.43% and Recall value 22.73%
Keywords : Decision Support, Nutritional Status, Toddlers, C4.5 Algorithm
SISTEM INFORMASI TUNJANGAN PENDAPATAN KEPEGAWAI DI KANTOR KECAMATAN MENGGUNAKAN FRAMEWORK CODEIGNITER
Authors: Selviani Rima , Haq Haris Nizhomul , Sobari Dicky Iskandar
Published: April 2024

In the current era of technological advancements, the demand for information has significantly risen across various facets of life. The Employee Income Allowance Information System (TPP) implemented at the Subang Sub-District Office encompasses comprehensive data, including employee profiles, attendance records, TPP reports, and employee assessments. This system facilitates employees in efficiently accessing and reviewing attendance and TPP report data. The implementation is carried out using CodeIgniter, PHP, and MySQL technologies.
An Assessment of Metal-Organic Frameworks and Activated Carbon Solutions for Sustainable Hydrogen Gas Storage
Authors: Mathew Anoushka , Chakraborty Anutosh , Ng Mai Sheng
Published: April 2024

The pursuit of sustainable energy sources has elevated hydrogen gas as a potential carbon-neutral fuel with high energy content. However, efficient storage and transportation of hydrogen pose considerable challenges. To address these issues, the utilisation of metal-organic frameworks (MOFs) and activated carbon (AC) for hydrogen storage through adsorption has gained substantial attention. This research article offers a comprehensive assessment of hydrogen storage using these materials.

The adsorption mechanism, fundamental to hydrogen storage in MOFs, involves hydrogen molecules adhering to the MOF framework's surface and pores via intermolecular forces. MOFs, comprising metal nodes and organic linkers, present high surface area-to-volume ratios and customizable adsorption properties, making them appealing for gas storage. AC, an amorphous porous carbon form, also displays favourable traits for gas storage.
A State-of-the-Art Review on Image Synthesis with Generative Adversarial Networks
Authors: Sistla Sai Mani Krishna , Jangoan Suhas , Mohamed Ikram Ahamed
Published: April 2024

Purpose: The remarkable performance of Generative Adversarial Networks (GANs) in various applications has made them a popular subject in computer vision research, and they have also shown remarkable success in picture synthesis tasks.

Materials and Methods: Image processing, synthesis, generation, semantic editing, translation, super-resolution, inpainting, and cartoon creation are all areas covered in this article's presentation of the most recent GAN research. To demonstrate how they have improved the result, they analyze the methods used by these applications and describe them.

Findings: Insights into GAN research and a presentation of GAN-based applications in diverse contexts are the goals of this paper (Anon, 2022).

Implications to Theory, Practice and Policy: Following this, we will go over some of the difficulties encountered by GANs and provide solutions to these issues. We also discuss potential future areas of study for GANs, including video creation, 3D face reconstruction, and facial animation synthesis.
Role of Beta Trace Protein and Cystatin C as a Potential Biomarker for Early Detection of Type 2 Diabetic Nephropathy
Authors: Ali Kamal AL-Deen Hussein , Adem Savki , El-Yassin Hedef D.
Published: April 2024

Background: One of the most well-known diabetic microvascular consequences is diabetic nephropathy, which affects 40 percent of people with diabetes mellitus type 2. It develops into end stage renal disease, and diabetes biomarkers can be used as a predictor.
Objectives: This study aimed to determine the concentration levels of serum Beta Trace Protein and serum Cystatin C in all stages of diabetic nephropathy disease.
Subjects And Methods: A Case- control study included 120 Persons (30-persons appeared healthy as control and 90 patients proved with T2DM of both gender (64 males and 56 females), split into four groups by using urinary micro-albumin and albumin to creatinine ratio (UACR) as following: group-I: includes 30persons as a healthy control (UACR < 30 mg/g creatinine). Group-II: includes 30patients with type2 DM normoalbuminuria (UACR < 30 mg/g creatinine) as a positive control. Group-III: includes 30 patients with type 2 DM microalbuminuria (UACR 30 – 300 mg/g creatinine). Group-IV: includes 30 patientsا with type 2 DM macroalbuminuria (UACR˃ 300 mg/g creatinine), all groups with ages ranges between (40-69) years. in allا groups, Beta Trace Protein and Cystatin C quantitative enzyme immunoassay (double-antibody sandwich), calculated in serum and both biomarkers using the same methods.
Results: Patients with diabetes have statistically substantially increased blood levels of Beta trace protein and Cystatin C. with macro-albuminuria groups in comparison to micro-albuminuria, normo-albuminuria and healthy control in addition, the mean for the micro-albuminuria group was greater than for the healthy control and normo-albuminuria groups.
Conclusion: A rise in blood Beta trace protein and Cystatin C levels in the early nephropathy group microalbuminuria, which may be used as a predictor for early diagnosis of diabetic nephropathy.
Bleeding Per Rectum: A Retrospective Study of 120 Cases
Authors: AL-Ubaide Amer Fakhree , M. Al-Ani Raid
Published: April 2024

Background: Lower gastrointestinal bleeding is one of the common problems seen worldwide, could be serious and occur at any age. Several studies conducted all over the world verified that there were variations in frequencies of etiologies of bleeding per rectum in their population, however, in the Middle East and Asia, the etiology of rectal bleeding differs from the West.
Objectives: To assess the causes of bleeding per rectum and to find if there is an association between rectal bleeding and various variables.
Subjects and methods: This was a retrospective cross-sectional study of 120 patients with bleeding per rectum for one year were studied in Al Ramadi Teaching Hospital, Ramadi City, Iraq. The patients underwent a full history and thorough physical examination. In all cases, initial digital rectal examination and proctoscopy were performed. Patients presented with a noticeable diagnosis of massive bleeding from the rectum were not included in our study.
Results: There were 84 males (64%) with male to female ratio of 2.33: 1. The median age of patients was 38 years (age ranged from 15-81 years). The main age group was ≤ 50 years (n = 95, 79.2%).  The hemorrhoid was the most common cause of rectal bleeding (n = 95, 79.2%). The second cause was anal fissure which was found in 26 cases (21.65 %). Colorectal carcinoma was seen in 14 patients (11.67%), and most of them (n = 13) were above 50 years of age. There was no significant association between the rectal bleeding causes and the gender. However, there were highly significant differences between the causes and the age and bowel habits of the patients (P-value = 0.0001).
Conclusion: Hemorrhoids were the most prevalent cause of rectal bleeding. The patient's age and bowel habit might be determined the cause of bleeding per rectum.
Domination (totally) Dot-critical of Harary Graphs
Authors: Hasni, R. , Mojdeh, D. A , Bakar, S. A.
Published: April 2024

A graph G is referred to as domination vertex critical if the removal of any vertex results in
a reduction of the domination number. It is considered dot-critical (or totally dot-critical) if
contracting any edge (or identifying any two vertices) leads to a decrease in the domination number. In this concise paper, we delve into the investigation of these properties and proceed to characterize the dot-critical and totally dot-critical attributes of Harary graphs.
On Soft Bitopological Ordered Spaces
Authors: Shalil, S. H. , El-Sheikh, S. A , Kandil, S. A.
Published: April 2024

This paper introduces soft bitopological ordered spaces, combining soft topological spaces with partial order relations. The authors extensively investigate increasing, decreasing, and balancing pairwise open and closed soft sets, analyzing their properties. They prove that the collection of increasing (decreasing) open soft sets forms an increasing (decreasing) soft topology. The paper thoroughly examines increasing and decreasing pairwise soft closure and interior operators. Notably, it introduces bi−ordered soft separation axioms, denoted as PSTi(PST∙i,PST∗i,PST∗∗i)−
ordered spaces, i=0,1,2, showcasing their interrelationships through examples. It explores separation axiom distinctions in bitopological ordered spaces, referencing relevant literature such as the work of El-Shafei et al. [5]. The paper investigates new types of regularity and normality in soft bitopological ordered spaces and their connections to other properties. Importantly, it establishes the equivalence of three properties for a soft bitopological ordered space satisfying the conditions of being TP∗
-soft regularly ordered: PST2−ordered, PST1-ordered, and PST0-ordered. It introduces the concept of a bi−ordered subspace and explores its hereditary property. The authors define soft bitopological ordered properties using ordered embedding soft homeomorphism maps and verify their applicability for different types of PSTi−ordered spaces, i=0,1,2. Finally, the paper identifies the properties of being a TP∗;(PP∗)−
soft T3−ordered space and a TP-soft T4-ordered space as a soft bitopological ordered property.
Dynamical Analysis of Stochastic Predator-prey Model with Scavenger
Authors: Prasad, S. N. , Kumar, I.
Published: April 2024

In this paper, we studied the dynamic properties of predator-prey and scavenger three species system by using ergodic invariant measures. Pengyu Ma. find the five points of dynamical bifurcation of the stochastic model, which happened between extinction and survival of each species. Environmental noise was added and proved by the fact that driving force produced by environmental noise influence the system and it was find that system may extinct or partially extinct. Here, we have analysed the stochastic bifurcation phenomena of the prey-predator with scavenger system from the nature of dynamic bifurcation. The phase plots and time diagram plotted for the different values of parameters. We have verified all the results by numerical simulations.
COVID-19 Case Growth Prediction Using a Hybrid Fuzzy Time Series Forecasting Model and a Machine Learning Approach
Authors: Yudatama Uky , Solikhin S. , Harmadji Dwi Ekasari , Purwanto Agus
Published: April 2024

The COVID-19 pandemic has evolved into a global health crisis, with Indonesia particularly affected due to its high death rates compared to the rest of Asia. A significant number of unacknowledged, undocumented, or unaddressed cases further exacerbate the situation in Indonesia. Challenges arise from the growing patient population and a scarcity of resources, medical experts, and facilities. This study analyzes the daily development of COVID-19 cases in Indonesia, aiming to estimate the number of confirmed cases, recoveries, and fatalities. Introducing a novel hybrid forecasting model, we utilize the Holt-Winter triple exponential smoothing statistical method and the fuzzy time series rate of change algorithm. We apply the Triple Exponential Smoothing Holt Winter statistical model to predict future periods to the fuzzy time series. Based on the testing results, our proposed hybrid forecasting model demonstrates a very high level of predictive capacity. The acquired data are highly accurate, with a 0.15 percent confirmation rate, 0.15 percent recovery rate, and a 0.20 percent mortality rate, along with an average absolute error of less than 10% for each COVID-19 case. The findings indicate that early awareness by the COVID-19 Task Force of the status of cases is highly advantageous. This awareness can aid in formulating appropriate policies for future planning, organization, and accelerated treatment of COVID-19 in Indonesia. Consequently, successful efforts can be made to slow the emergence and spread of COVID-19 in the country.
Detection of Source Code Plagiarism Utilizing an Approach Based on Machine Learning
Authors: Mehsen Raddam Sami , Joshi Hiren D.
Published: April 2024

Academic institutions, which often publish papers and journals, are ideal testing grounds for the efficacy of counterfeit detection methods. Plagiarism occurs when someone uses the words of another writer without giving that writer proper credit. The proliferation of freeware text editors and the increasing availability of scientific materials online have made the detection of plagiarism a pressing concern; however, the detection of plagiarism in the source code presents a particularly difficult problem. Plagiarism detection algorithms for identification systems and software source code have been the subject of numerous academic investigations. The proposed method combines TF-IDF transformations with K-means clustering to achieve a 99.2% accuracy rate when detecting instances of plagiarism in the source code. This is because it groups similar lines of code together. On the other hand, in comparison to the outcomes produced by the random forest algorithm, the ones that it generates are significantly better. The performance of the MOSS system that was already in place was inferior to that of the system that was used for 90% and 80% of the training set. When contrasting the results, some parameters for evaluation that are considered include precision, recall, and F-measure. The proposed system is implemented in Jupyter Notebook 7 and Python. Also, graphic user interface is designed and implemented to give user friendly experience to the users.
Preventing Student’s Mental Health Problems with the Help of Data Mining
Authors: Hossain Md. Nazmul , Fahad Nafiz , Ahmed Rasel , Sen Anik , Al Huda Md. Sadi , Hossen Md. Ismail
Published: April 2024

The increasing incidence of mental health issues among university students has become a significant concern, often referred to as a "mental health crisis" in academic settings. This study addresses the challenge of predicting mental health issues in university students using data mining techniques. The research involved the creation of a new dataset via a survey method focused on university students, covering various factors like behavioral traits, health conditions, and lifestyle choices. Data mining algorithms such as Naive Bayes, Random Forest, SVM, KNN, and Decision Tree were employed to predict mental health status. The study included dataset collection, cleaning, integration, transformation, reduction, discretization, and the use of Weka and Orange for data analysis. Therefore, exploratory analysis revealed that 53.4% of students reported depression, with a higher incidence among male students and those less involved in extracurricular activities. Predictive analysis showed Naive Bayes as the most accurate algorithm (65.91%) for this prediction task, followed by Random Forest, SVM, KNN, and Decision Tree. The performance was evaluated using accuracy, F1-Score, precision, recall, AUC, and CA. The study highlights the correlation between various aspects of university students' lives and depression. Active participation in extracurricular activities was found to lower depression risks. The effectiveness of data mining in understanding and predicting mental health issues in university students was established, with Naive Bayes being the most effective algorithm for this purpose.
Ground Wave Propagation Measurement using DAQ Module and LabVIEW
Authors: Antosia Risky Martin
Published: April 2024

Utilizing a data acquisition (DAQ) module and LABVIEW programming requires to develop in earth science/ engineering and equivalent, especially for educational purposes. This study implemented a geophone and an accelerometer to measure ground wave propagation with a study case of soil surface. Its measurement method consists of two modes. Firstly, the geophone is close to a wave source. Then, its position is changed by the accelerometer. The DAQ converts the detected signals from both sensors and then the LABVIEW interface processes and displays the outputs on the computer. The system can sense and reconstruct waveforms with a steady sampling frequency from 5 to 50 kHz. Also, it can automatically calculate a wave velocity by identifying the rising or falling edges of the wave signal and counting its arrival time within the distance between two sensors. As a result, it produces a better result at an interval of 0.2-0.6 m with a computed wave velocity of 72.531 m/s on average, even though a correction variable should be appended to the outcomes, amplified by two.
DEGREE OF ACTIVATION OF NATURAL MECHANISMS OF HUMORAL AND CELLULAR DEFENSE BY BEE PRODUCTS IN BIRDS CANDIDAMYCOSIS
Authors: Маннапова Р.Т. , Свистунов Д.В. , Шайхулов Р.Р.
Published: April 2024

Заболеваемость кандидамикозами пищеварительного тракта птиц регистрируется нечасто. Они возникают неожиданно, но летальность у молодняка достигает 95–100 %. Целью работы явилось изучить степень формирования и становления под влиянием биологически активных продуктов пчеловодства, характер восстановления на фоне кандидамикозов пищеварительного тракта (КПТ) птиц механизмов естественной иммунной защиты. Объектом исследования служили перепела мясной японской породы с 10- до 90-суточного возраста. Применение экстрактов восковой моли, трутневого гомогената пчел и прополиса (ЭВМ, ЭТГ и ЭП) способствовало повышению генетически заложенных потенциальных возможностей естественного гуморального и клеточного звена иммунитета здоровых перепелов и на фоне развития КПТ. Установлено повышение лизоцимной активности сыворотки крови под влиянием ЭВМ, ЭТГ и ЭП максимально, в пределах физиологических величин, у здоровых перепелов в 1,65; 3,44 и 2,13 раза, у больных КПТ – в 3,44; 5,38 и 4,93 раза; активизация бактерицидной активности сыворотки крови у здоровых птиц – в 1,40; 1,98 и 1,92 раза, у больных КПТ – в 2,18; 2,84 и 2,28 раза; повышение фагоцитарной активности альвеолярных макрофагов у здоровых перепелов – в 1,23; 1,38 и 1,31 раза, у больных КПТ – в 1,85; 2,67 и 1,88 раза. Более выраженные иммуностимулирующие свойства проявляет экстракт трутневого гомогената, затем прополиса, и незначительно уступает им экстракт восковой моли.

The incidence of candidamycosis of the avian digestive tract (CDT) is infrequent. They occur unexpectedly, but the mortality rate in young animals reaches up to 95–100 %. The aim of the work was to study the degree of formation and development of natural immune defense mechanisms under the influence of biologically active bee products and the nature of restoration of the birds digestive tract during the candidamycosis. The object of the study was Japanese meat quails from 10 to 90 days of age. The application of extracts of wax moth, bee drone homogenate and propolis contributed to an increase in the activity of the genetic capabilities of the natural humoral and cellular of immunity in healthy quails and during CDT. An increase in the lysozyme activity of blood serum under the influence of extracts of wax moth, bee drone homogenate and propolis was found to be maximum, within the limits of physiological values, in healthy quails by 1.65; 3.44 and 2.13 times, in sick birds with CDT – 3.44; 5.38 and 4.93 times. The activation of bactericidal activity of blood serum increased in healthy birds – by 1.40; 1.98 and 1.92 times, in sick birds with CDT – 2.18; 2.84 and 2.28 times; phagocytic activity of alveolar macrophages increased in healthy quails by 1.23; 1.38 and 1.31 times, in sick birds with CDT – 1.85; 2.67 and 1.88 times. The extract of bee drone homogenate has more significant immune-stimulating properties, followed by propolis, and the extract of wax moth is not significantly inferior to them.
Assessing Student Leaders’ Leadership Styles and Conflict Management
Authors: Ulanday Ma Leah , Samiento Lemellu Nida L , Santiago Cereneo jr. S , Centerno Zarah Jane R
Published: April 2024

Student leadership gives students the training they need to engage themselves in school-related tasks or concepts, objectives, and aspirations beneficially and constructively. It teaches them how and when to plan an event, manage their schedule, improve their speaking abilities, and lead students. To achieve a target, leadership is a flexible process that calls for collaboration with others in both academic and professional lives. For individuals who are expanding their professional competencies, gaining leadership skills is essential. To enable students to learn their attributes and better prepare them for their careers, leadership qualities and skills should be measured. This study examined the profile in terms of age and sex, leadership styles, and conflict management of student leaders in a state university. A descriptive-correlation research design was employed in the study with undergraduate student leaders of their respective department organizations who enrolled in different courses. (N=70). Results show that majority of student leaders age is between 18- 21 and are dominated by male student leaders. It can also be gleaned that the majority of student leaders possess a democratic leadership style. Democratic leadership approaches have provided leaders the capability of making wise decisions, collaborating with others, and asking pertinent questions to people to handle certain issues. In terms of conflict management, the number one conflict management strategy used by the leaders is accommodating strategy Moreover, there is no significant relationship between the leadership style of student leaders and conflict management. Regardless of the leadership style of student leaders, it is up to them how they will handle conflict management effectively. Student leaders set the tone for conflict management through their leadership styles.
Diseño, Construcción y Pruebas de una Estación Terrena de Bajo Costo para CubeSat con Tecnología IoT-LoRa
Authors: Flores Cadena Gary Fernando , Lupera Morillo Pablo Aníbal , Mena Darwin Antonio , Benalcazar Rojas David , Llumiquinga Loya Henry Paul , Sandobalin Guaman Santiago , Lopez Izurieta Ericson Daniel
Published: April 2024

En esta investigación se presenta el diseño y construcción de una estación terrena de bajo costo, compuestas por una antena Yagi, Amplificador de bajo ruido (LNA) y un nodo receptor LoRa que permite  recepción de señales de CubeSats basadas en tecnología LoRa, para lo cual se emplearon conceptos de diseño general de antenas y amplificadores electrónicos y se comprobó el diseño mediante pruebas de laboratorio de características eléctricas, radiación de señal y respuesta en frecuencia con lo que se pudo recibir datos de telemetría de los satélites CubeSat LoRa.
Reconocimiento y clasificación de comentarios de productos de Amazon
Authors: Mamani Arosquipa Luisfelipe Rodrigo , Duarte Oruro Frank Jhoseph
Published: April 2024

El flujo de información surge día a día mediante internet de manera continua gracias a las constantes interacciones presentes entre los usuarios, estas interacciones se presentan en comentarios que pueden ser positivos o negativos. Esto puede ayudar mucho al servicio que ofrece Amazon en sus productos para poder comprender si esta´ en buen estado o no, para que sus usuarios de la plataforma se puedan convencer al momento de comprar un producto, y es que, si estos son un gran número, un análisis hecho por una sola persona no es suficiente. Para ello es necesario el uso de herramientas que operan con grandes cantidades de datos como (nombre del procesamiento de datos), que es un modelo que ayuda al análisis de clasificación de comentarios basados en lo que expresan los usuarios. En este trabajo se usará´ este modelo para la clasificación de comentarios de productos de Amazon, valorando estos comentarios según su descripción. Se harán además uso de métricas y de sugerencias futuras para la propuesta mencionada en este trabajo. El análisis de los comentarios ayudara´ a entender cómo es que las personas clasifican estas diferentes situaciones de su vida cotidiana. Los datos de las redes sociales se utilizan durante todo el proceso de análisis y clasificación, que consiste en datos de texto. Utilizando las redes sociales, se puede monitorizar o analizar los comentarios. En este trabajo de investigación clasificaremos los datos de los comentarios que se realizan en Amazon relativos a su calificación en cada comentario.
Sistema Web para mejorar la gestión comercial y de talento humano utilizando la metodología Scrum
Authors: Caciano Arroyo Maricielo Estefany , Vasquez Cabrera Antony Fernando , Santos Fernández Juan Pedro , Boy Chavil Luis Enrrique , Córdova Otero Juan Luis
Published: April 2024

Este estudio se enfocó en implementar un Sistema Web para desarrollar la administración de talento humano y comercial en un supermercado, empleando la metodología Scrum. Se integraron sistemas de ventas y recursos humanos para optimizar la percepción del cliente y los resultados económicos, destacándose la eficacia de Scrum en casos prácticos, como la implementación de un sistema de ventas en línea para MIPYMES ocasionado por la crisis de salud originada por la propagación del COVID-19. Los resultados económicos, respaldados por indicadores clave como VAN, B/C y TIR, fortalecieron la viabilidad del proyecto. El sistema se estructuró en tres Sprints, cada uno enfocado en etapas específicas, utilizando el framework Laravel y pruebas de rendimiento con JMeter, además la fase de desarrollo incluyó la codificación de todas las actividades planificadas. En conclusión, este sistema promete ser altamente beneficioso para mejorar la gestión de talento humano y de ventas. La eficacia de la implementación se respalda mediante pruebas de rendimiento, evidenciando su capacidad para gestionar un considerable volumen de solicitudes. La factibilidad financiera, respaldada por indicadores positivos, junto con un enfoque ágil, promete mejorar significativamente la operación y competitividad de un supermercado.
Aplicación de técnicas de Inteligencia Artificial para la diferenciación del nivel socioeconómico
Authors: Pacori Paucar Crhistian Ziegler , Mayta Condori Moises Enrique , Quispe Sanomamani Luis Fernando , Montana Neyra Diego Gustavo
Published: April 2024

En este proyecto se hace una diferenciación entre personas a travez de diferentes parametros como edad,sexo,nivel educativo entre otros,para tratar de calcular a cuanto podria asender su salario. Este problema es importante a resolver por que así una persona podría predecir su futuros ingresos a través de las decisiones que tomaría en el presente, como por ejemplo hasta qué grado de educación debe recibir y cuando ya comenzar a trabajar para obtener experiencia. Nuestro procedimiento para resolver este problema han sido dos análisis estadísticos ,el primero regresión lineal y un árbol de decisión para poder hacer una comparativa entre estos, las hemos probado usando herramientas como Colab (Python) y un dataset. Nuestra población de nuestro trabajo fue de 32000 registros (filas).Los resultados fueron que a través del árbol de decisión hubo una precisión de 0.879 y un accuracy de 0.817 .Y con respecto a la regresión logística obtuvimos una precisión de 0.80 cuando para el sueldo <=50K y 0.72 cuando el sueldo es >50K, el accuracy obtenido es de 0.7912. Dando por conclusión que entre estas dos herramientas nos quedamos con el Árbol de decisión.
Could scalp pain be a type of unclassified headache?
Authors: Silva-Néto Raimundo Pereira
Published: April 2024

The scalp is the structure that covers the skull. It is commonly affected by painful processes resulting from infestations, infectious or inflammatory diseases. This pain located in the scalp does not have well-defined clinical characteristics and is not yet included in the ICHD-3 diagnostic criteria. The authors suggest including this pain in the next classification of headaches as a headache attributed to a scalp disorder.
Addressing social determinants of health
Authors: Levenson Deborah
Published: April 2024

RNs recount progress, challenges in meeting patients’ overall needs.
Home As a Mobile and Flexible Domestic Space in Amitav Ghosh’s Alternative Ideas of Cosmopolitanism
Authors: Arnab Das  , Roy Madhumita
Published: April 2024

In this globalized cosmopolitan world, the concept of home has become one of the most crucial socio-cultural perceptions, playing a significant role in establishing community and transnational relationships both at the local and the global level. Amitav Ghosh’s alternative ideas of cosmopolitanism are committed to criticizing the neo-imperial characteristic of the contemporary capitalist cosmopolitan world. This paper argues that Amitav Ghosh through his selected fiction - The Shadow Lines (1988) and The Hungry Tide (2004) - has shown how breaking away from the conventional, constrictive ideas and established definitions of home, that often run the risk of becoming the birthplace of many of the communal, regional or national fanatic ideologies, contributes to forming alternative ideas of home and family that are more mobile and flexible in nature and how they are instrumental in shaping individuals as true cosmopolitans.
PARENTING BEDA GENERASI: POLA ASUH ANAK DALAM PEMBELAJARAN HOLISTIK PADA ZAMAN MILENIAL
Authors: Woen Victoria
Published: April 2024

Abstract: Child abuse has occurred across borders: brawls, theft, immorality, drugs, pornography, smoking, and the like. The purpose of this newsletter is to study parenting patterns from various generations, the characteristics and functions of their own circle of relatives, and techniques for holistic parenting to be recognized in the millennial era. This study uses a literature study with the results: (1) Generational differences in parenting because generations continue to move so that generational modifications have very large variations in parenting patterns within their own relatives. Now the Alpha era (Z era) born with this generation is growing rapidly. (2) The kinship circle itself is a collection unit in which there may be the presence of different parents, children, and relatives, and have emotional ties and interrelated experiences. (4) Child Parenting Patterns in Holistic Learning in Various Generations of Parenting: Families know parenting, Christ middleÂ noseÂ to parent, the person knows to parent, ability knows parenting, and cyber intelligent know to parent.
PENTINGNYA PENDIDIKAN KARAKTER DALAM MENINGKATKAN INTEGRITAS BERBANGSA BAGI GENERASI EMAS PADA ERA MILENIALISME
Authors: Karo Karo Desire
Published: April 2024

Tujuan pendidikan adalah untuk menumbuhkan fondasi kekuatan manusia agar berkarakter dan mampu menjalani kehidupan yang baik. Pendidikan karakter adalah penerapan nilai-nilai moral atau agama kepada peserta didik di lingkungan sekolah melalui ilmu pengetahuan, dan juga merupakan penerapan nilai-nilai positif kepada diri sendiri, kepada teman, kepada guru dan kepada lingkungan sekitar atau Tuhan Yang Maha Esa. Masa depan bangsa dan negara ini adalah milik generasi muda. Oleh karena itu, suatu bangsa akan maju ketika ada generasi dewasa untuk mempersiapkan generasi muda yang lebih cerdas dari sebelumnya. Generasi dengan kepribadian â€œGenerasi emasâ€ memiliki keterampilan, kepribadian, gaya hidup, dan tingkat percaya diri. Keterampilan penuh, kepribadian kuat, kecerdasan tinggi dan daya saing juga diharapkan dari generasi emas. Tujuan dari penelitian ini adalah untuk mengeksplorasi pentingnya pendidikan karakter dalam meningkatkan integritas negara-bangsa untuk generasi emas. Studi saat ini dilakukan secara kualitatif. Data dikumpulkan melalui wawancara dan data diperoleh.
External Debts as Panacea to Economic Growth Challenges in Selected Eastern African countries: An Application of the Autoregressive Distributed Lag Model
Authors: Tile Augustino , Utouh Harold M.L. , Sesabo Jennifer Kasanda
Published: April 2024

Foreign aid has significantly influenced medium- and long-term development initiatives in Eastern African countries. Project aid and non-project aid are the two main categories that describe foreign economic assistance (loans, credits, and grants). The primary aim of foreign aid has been to supplement the internal resources needed to quicken the economic development of the nations in Eastern Africa. This study investigated the influence of external debt on the economic growth of Eastern African countries (Kenya, Uganda, Rwanda, Burundi, and Tanzania) using the autoregressive distributive lag mode and panel data (1970–2020).  The findings revealed that external debt had a significant adverse effect on economic growth. In Burundi, an increase in external debt reduces GDP by 5% in the short run, while in the long run, it reduces GDP by 19%; in Tanzania, it decreases GDP by 22%; and in Kenya, it reduces the GDP by 13%. Conversely, the findings indicated that the increased level of external debt positively influenced Uganda's GDP (0.03%) but was not statistically significant. Therefore, it is recommended that Eastern African countries source their income, apart from more external concessional debt, through bilateral or multilateral arrangements to plug into their budget deficits. Also, it is recommended that East African governments develop their external debt initiatives that offer further profitable investment opportunities to repay their foreign debt gradually. Moreover, strategies in the East African countries must be geared towards strengthening revenue mobilization to provide avenues to balance their external debts. For instance, improving the informal sector in these countries is a viable base for increasing revenue through taxes.