bluuebunny/crossref_metadata_2025 huggingface dataset:
Linguistic analysis in diagnosing dementia and depression (Preprint)
Authors: Ziółko Mariusz , Ziółko Mariusz , Waszkiewicz Napoleon , Datka Wojciech , Kozłowska Karolina , Kucharski Michał , Ziółko Bartosz , Rzepka Rafał , Kamiński Karol
Published: May 2023

BACKGROUND

Neurodegenerative and mental disorders significantly affect the manner of speaking, syntax, semantics and specific habits of word choice. Linguistic analysis can detect these disorders.

OBJECTIVE

The aim of this study was to examine whether speech analysis can be useful for screening test in neurology and psychiatry, due to the limited number of techniques supporting medical diagnostics in these fields. There is a need for a fast, low-cost method for analysing speech samples provided over the phone or as transcripts over the Internet.

METHODS

Comparing lemma frequencies in the control group recordings with lemma frequencies in speech of people diagnosed with dementia or depression allowed us to select lemmas that appear too rarely or too frequently in the speech of people affected by disorders. Moreover, the ratio of the number of lemmas to the number of words is a very good indicator of dementia.

RESULTS

For neurodegenerative and mental disorders, linguistic analysis frequently results in a more effective diagnosis than analysis of acoustic features. Linguistic changes are easily detectable in dementia, and less noticeable in depressions. By comparing features of speech samples, it was possible to create a classifier which distinguishes one group from the other. We used linguistic analysis to build a system for providing screening tests. Two methods were used to diagnose dementia. The first method is based on the observation that statements made by people with dementia have lower vocabulary variations. The percentage of lemmas (in relation to the number of words) makes it possible to detect dementia states. The second diagnostic method is based on lemma probabilities. This method was also used in depression screening tests.

CONCLUSIONS

By knowing features of speech samples recorded by the subjects and the control group, it is possible to create a classifier which distinguishes one group of recordings from the other. Linguistic changes are easily detectable in dementia, and less noticeable in depression.

CLINICALTRIAL

Trial Registration CT03197363; https://clinicaltrials.gov
The Potential of Real-time RT-PCR Cycle Threshold Values as a Predictor of COVID-19 Spread (Preprint)
Authors: Hwang Seung-sik , Park Jungeun , Cho Sung-Il , Kang Sang-Gu , Kim Jee-Woun , Jung Sunkyung , Lee Sun Hwa , Han Kyou-Sup
Published: May 2023

BACKGROUND

Coronavirus disease 2019 (COVID-19) testing is essential, as it enables early detection and halting the spread of infection throughout the community. Real-time reverse-transcriptase polymerase chain reaction (real-time RT-PCR) testing is the predominant method for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in samples, and the cycle threshold value (Ct value) is used to determine COVID-19 positivity.

OBJECTIVE

The aim of the present study was to examine time series distribution during the COVID-19 pandemic, using Ct values at the national level in Korea, and analyze the association between Ct values and the time-varying reproduction number (Rt) to discuss the utilization of laboratory-based COVID-19 test results.

METHODS

We used real-time RT-PCR results collected by the Seegene Medical Foundation from the index case in Korea between February 2020 and January 2022. The distribution of daily Ct values (RdRp/S target) was examined and compared with the daily count of newly diagnosed cases and Rt to determine the usability of Ct values. Moreover, time lag was applied to the daily count of newly diagnosed cases to analyze the association between Ct values and Rt.

RESULTS

During the COVID-19 pandemic, Ct values declined in general, while viral load increased progressively. After Ct values dropped markedly, the number of newly diagnosed cases rose substantially, and the association analysis confirmed that the daily count of newly diagnosed cases declined with increasing Ct values. The time series trend of the Ct values was also similar to that of Rt, a classic marker that was used as a predictor of pandemic trends; when compared to the actual count of newly diagnosed cases, we found that Ct values could be used to predict new diagnoses earlier than Rt. The fact that the Ct values were more sensitive to a substantial rise of new COVID-19 cases than Rt in the early days of the pandemic also supports this finding.

CONCLUSIONS

We examined the potential of Ct values as a predictor of new COVID-19 cases in real-time using nationally collected Ct value data. Further, we proposed the use of Ct values as an index reflecting the degree of viral load. The findings of this study can be used to establish indicators with higher predictive power than conventional outbreak predictions.
Evaluasi Mekanisme Pelaksanaan dan Pertanggungjawaban Belanja Dana Bantuan Operasional Sekolah Daerah (BOSDA) pada Dinas Pendidikan Kabupaten Sleman
Authors: Abrida Basuni Nur Azizah , Halim Abdul
Published: May 2023

Isu manajemen strategis pendidikan telah menjadi isu umum di Indonesia, terutama tentang rendahnya kualitas pendidikan di Indonesia di mata dunia. Hal ini menjadi hal yang krusial yang harus diperhatikan oleh bangsa Indonesia. Pembukaan UUD 1945 menyebutkan salah satu cita-cita negara Indonesia adalah mencerdaskan kehidupan bangsa. Oleh karenanya, pemerintah membuat program wajib belajar 9 tahun yang dilengkapi dengan adanya dana BOS. Untuk pengelolaan dana pendidikan yang efektif dan efisien, melengkapi kekurangan dana BOS, serta melaksanakan desentralisasi pendidikan maka dibuatlah program dana BOSDA.LHP atas LK Pemda Kabupaten Sleman ditemukan adanya pengendalian pengelolaan keuangan atas dana BOSDA oleh Dinas Pendidikan belum memadai. Adanya permasalahan tersebut menimbulkan isu baru pada Dinas Pendidikan (Disdik) Sleman tentang pemenuhan akuntabilitasnya terkait program dana BOSDA. BPK merekomendasikan untuk menyusun mekanisme BOSDA dengan mempertimbangkan ketersediaan SDM. Adanya kebutuhan untuk pembuatan mekanisme baru dan mengurangi adanya kesalahan saat mekanisme berjalan dibutuhkan evaluasi secara menyeluruh atas mekanisme dana BOSDA di Disdik Sleman.Penelitian ini melakukan evaluasi menyeluruh dengan metode evaluasi CIPP pada mekanisme BOSDA, baik dari sisi pengguna yaitu instansi pendidikan dan sisi pengelola yaitu Disdik Sleman. Ditemukan bahwa akuntabilitas telah terpenuhi dan keterbatasan SDM bukan menjadi masalah utama namun masih terdapat masalah lain yang mempengaruhi. Hal ini dibuktikan dengan masih adanya permasalahan yang terjadi setelah rekomendasi dilaksanakan. Permasalahan tersebut meliputi desain program, kapabilitas program, pengendalian dan strategi program dan belum adanya bagan alur dan indikator keberhasilan program menjadi hal yang harus dibenahi oleh Disdik Sleman.
Analisis Faktor-Faktor Penyebab Temuan Berulang (Studi Pada Pemerintah Kabupaten Manggarai Provinsi NTT)
Authors: Lambo Yohana Veliska , Ritonga Irwan Taufiq
Published: May 2023

Pelaksanaan tindak lanjut rekomendasi audit pada pemerintah daerah belum dilaksanakan secara memadai. Hal ini terlihat dari masih adanya rekomendasi audit yang terlambat ditindaklanjuti serta penyelesaian tindak lanjut yang belum sesuai dengan rekomendasi yang diberikan. Tidak adanya tindakan korektif yang memadai terhadap rekomendasi yang diberikan oleh auditor menyebabkan temuan tersebut kembali berulang pada audit tahun berikutnya. Tujuan penelitian ini adalah untuk mengidentifikasi faktor-faktor yang menjadi tantangan dan hambatan dalam pelaksanaan tindak lanjut rekomendasi audit. Perspektif logika institusional digunakan untuk menginvestigasi masalah apa yang dihadapi dalam penyelesaian tindak lanjut serta respon dan tindakan apa yang dilakukan oleh pemerintah. Wawancara dilakukan kepada para aktor yang berperan dalam proses penyelesaian tindak lanjut. Selain itu dilakukan analisis dokumen yang terkait dengan penyelesaian tindak lanjut. Hasil penelitian mengidentifikasi hambatan dalam penyelesaian tindak lanjut yaitu faktor eksternal/lingkungan dan faktor internal/organisasi. Strategi yang diambil oleh para aktor belum dapat menyelesaikan tindak lanjut secara memadai. Adanya persepsi bahwa tindak lanjut bukan merupakan kegiatan yang penting untuk dilakukan memengaruhi respon dan logika dari para aktor ketika menyelesaikan tindak lanjut. Logika ini mendorong adanya pengabaian terhadap rekomendasi tindak lanjut dan menjadi motif gagalnya penerapan strategi yang efektif. Pengabaian terhadap rekomendasi tindak lanjut juga terlihat dari implementasi pelaksanaan tindak lanjut yang tidak memadai mulai dari proses perencanaan, pelaksanaan, pemantauan dan evaluasi.
URBAN LEFT-OVER SPACE: CHARACTERISTIC IDENTIFICATION OF THE IN-BETWEEN SPACES IN RIVERSIDE SETTLEMENT (CASE STUDY: MARTAPURA RIVERSIDE SETTLEMENT AT SASIRANGAN VILLAGE)
Authors: Anilaputri Juleta Nadea , Marcillia Syam Rachma
Published: May 2023

The identity of "Thousand Rivers' City" makes the river have the meaning of identity and life orientation. River-oriented life inflicted an adaptive behavior called budaya sungai. However, the globalization process has caused a shift from river-oriented to land-oriented and creates heterogeneity in riverside settlements. Creating variations of typology such as atas sungai, bantaran sungai, and tepian sungai. The emergence of these typologies indirectly creates urban leftover space as a transition called the in-between space. This research aims to identify the characteristic of the in-between spaces in riverside settlements so that the space does not become negative and can be utilized to meet the living needs of people who live in riverside settlements. The research used explanatory sequential design methods, based on the quantitative phase, a figure-ground analysis identified curvilinear as the typological patterns and homogenous as textural patterns of the riverside settlement. The map shows a high-density level of solids with no central open system void. Based on the qualitative phase, all in-between spaces have linear patterns and are mostly made of wood materials. 76.47% of enclosures are open but in contrast to land use which is mostly private. 2 out of 17 in-between spaces could not be characterized.
THE NEXUS OF PLANNING AND FOOD SECURITY IN INDONESIA: A REVIEW OF THE LITERATURE
Authors: Pandangwati Sri Tuntung , Widiyanto Dodi
Published: May 2023

This review paper draws on a multidisciplinary body of literature to consider how planning can foster food security in Indonesia. In the last decades, the international planning discourse has been increasingly attentive to a range of food security issues such as food deserts, urban agriculture, rural agricultural land conservation and resilient food systems. The existing studies mainly explore how planning can be more sensitive to food issues. However, to what extent Indonesian studies are attentive to the intersection of food and planning has not been clarified yet. This paper addresses this gap by reviewing 38 published studies in Indonesia to investigate how the existing studies in Indonesia link food security with planning. Food, as one of three primary needs, should be the concern of planners, especially in this era of uncertainties and global environmental change. Establishing food security should involve multidisciplinary research, including planning which can potentially contribute to managing the spatial dimensions of food production, distribution and utilisation.
Pengaruh Pelatihan Go/NoGo Task terhadap Resiliensi Ditinjau dari Inhibitory Control pada Taruna Akademi Militer Indonesia
Authors: Afandi Ardian Rahman , Lufityanto Galang
Published: May 2023

Resiliensi merupakan kemampuan seseorang untuk bangkit dari keterpurukan dalam kondisi yang sulit. Tujuan penelitian ini adalah untuk mengetahui pengaruh dari pelatihan Go/NoGo Task terhadap Resiliensi dimoderatori oleh inhibitory control. Penelitian terdahulu terhadap Taruna Akademi Militer menunjukkan terdapat peningkatan jumlah Taruna yang mendapatkan sanksi dengan alasan permasalahan indisipliner, yang merupakan akibat dari resiliensi yang rendah. Penelitian ini menggunakan digital game-based intervention experiment kepada 19 partisipan di kelompok high resilience experiment dan medium resilience experiment. Tidak ada perlakuan yang diberikan kepada 19 partisipan lainnya di kelompok high resilience control dan medium resilience control. Hasil menunjukkan tidak adanya perbedaan antara kelompok eksperimen dan kontrol pada inhibitory control. Hasil ini dapat disebabkan oleh proses partisipan dalam melakukan inhibisi terhadap pelatihan adalah bottom-up process, bukan seperti yang diharapkan yaitu top-down process. Meski terdapat korelasi positif antara inhibitory control dengan resiliensi Taruna Akademi Militer, pelatihan Go/NoGo Task juga tidak memberikan pengaruh yang signifikan terhadap resiliensi. Beberapa hasil lain juga ditemukan dalam penelitian ini.
An Analysis of the Feasibility of Artificial Intelligence to Replace Lawyers
Authors: Wang Weiyuan
Published: May 2023

The application of artificial intelligence in justice is an irreversible trend, and it is going through a process of development from shallow to deep and from narrow to wide. It is in this context that the discussion on whether artificial intelligence can replace lawyers in the future and whether there is a need for the existence of lawyers begins. The impact and challenge of artificial intelligence to replace the lawyer system is still in the ethical, effectiveness and fairness of the three aspects of the controversy, lawyers also have the unique advantages of artificial intelligence can not replace. Therefore, this paper advocates that artificial intelligence in a narrow sense cannot replace lawyers, and has reservations about whether strong artificial intelligence can replace lawyers. Should adhere to the legal role of lawyers, to achieve the limited intervention of artificial intelligence, the use of a degree, to assist powerful.
Una casa para dos mujeres vivienda post-familiar y womenomics en Jardín y Casa
Authors: Ganzabal Cuena Borja
Published: May 2023

Este artículo trata de desgranar el particular contexto de Jardín y Casa (Ryue Nishizawa, 2006-2011) en relación a su encargo post-familiar y a la consolidación política de la economía femenina de womenomics en Japón. Para ello, ilustra el modo en el que las condiciones urbanas permiten que la vivienda pueda eliminar su fachada, y analiza el patrón habitacional de la vivienda. Expone su alternativa expresa al modelo organizativo de familiar nuclear y conyugal, y revisa el impacto de esa elección post-familiar sobre la vivienda. Derivada de esa cuestión, el artículo expone los roles femeninos en relación al modelo de familia japonesa tradicional, sus particulares modos de emancipación, y recoge el énfasis de la vivienda sobre los procesos de individualización y sobre su condición femenina. Finalmente, analiza la tendencia económica y política que, en los ámbitos de élite, fomenta el empoderamiento femenino. El artículo teoriza sobre la casa sin fachada de Jardín y Casa como una materialización exitosa de la economía femenina neoliberal.
Trasvases epistemológicos entre la arquitectura y la filosofía
Authors: San Martín Iván , Cuéllar Sánchez Raúl Sergio
Published: May 2023

En estas breves líneas expondremos algunos ámbitos reflexivos acerca de los vínculos existentes entre la arquitectura y la filosofía que consideramos insoslayables para la formación interdisciplinaria del estudiantado de arquitectura, así como para quienes se encuentran en el ejercicio profesional y se interesan en estos tópicos interdisciplinares, un vínculo en el que ya se reflexionaba desde la antigüedad clásica.
El diseño industrial, un lenguaje de posibilidades
Authors: Hernández Romero Yissel
Published: May 2023

En este texto se comparten algunas experiencias vinculadas al proceso de reflexión y escritura sobre, y para, el diseño industrial. La problematización de lo cotidiano, la discusión cuantitativa entre la producción en masa y la exclusividad de las ediciones limitadas; la pertinencia del éxito comercial, de lo estrictamente funcional o lo emocionalmente vinculante, son algunos de los escenarios en los que el diseño industrial ha sido objeto de críticas y cumplidos, ha sido parte de la historia y de su proyección futurista. En este recorrido se abordan diferentes momentos de formación académica y su influencia en la relación que la autora ha tenido con el desarrollo de objetos y las nuevas expresiones del diseño.
Felipe Leal
Authors: Leal Felipe
Published: May 2023

El pasado 19 de agosto se llevó a cabo la ceremonia por los 15 años de la declaratoria de CU como Patrimonio Mundial en Unesco, festejando a su vez los 70 años de su dedicatoria. Para continuar con el espacio otorgado,—a esta doble celebración—, en el número anterior de Bitácora arquitectura, rescatamos dos discursos pronunciados durante el evento mencionado. El primero de ellos es del doctor Juan Ramón de la Fuente, quien fue rector de la UNAM en el periodo de 1999 a 2007. El segundo discurso es de Felipe Leal, exdirector de la Facultad de Arquitectura de 1997 a 2005 y una persona clave para la gestión de la declaratoria ante la Unesco. De esta manera, con la publicación de las palabras de dos protagonistas en las acciones para la puesta en valor de tan icónico sitio, invitamos a nuestros lectores a continuar reconociendo y apreciando la Ciudad Universitaria.
The Influence of Social Norms on Debt Behavior, With Intervention in Debt as an Intervening Variable
Authors: Santoso Aprih , Sulistyawati Ardiani Ika
Published: May 2023

The main problem of this research is whether interest can play a role in mediating social norms in one's behavior. The research objective was to examine the influence of social norms on indebtedness behavior in the Semarangan batik UMKM community, with interest in debt as a mediating variable. The theory used in this research is the TPB theory. The research method is: the population of all Semarangan batik UKM community entrepreneurs who owe Wibawa credit in the city of Semarang is 197 people and is also used as a research sample (census method). Data analysis method with the AMOS-25 program. The results showed that social norms had a positive and significant effect on interest, and social norms, interest in debt also had a positive and significant effect on debt behavior in the Semarangan batik UMKM community. The conclusion is that interest in debt is able to mediate the influence of social norms on debt behavior in the Semarangan batik UMKM community. The novelty of this research is the use of TPB theory in this social research, because so far TPB theory has been widely used in psychological research.
Pikobar and Jabar Saber Hoaks: Dynamics of E-Government Implementation in Preventing Bureaucratic Pathology in West Java
Authors: Alghifari Gilang Arya , Sundawa Dadang
Published: May 2023

The pandemic has implications for all aspects of human life, including the bureaucratic aspect. In this case, the reality experienced in the bureaucratic process in West Java reflects a lack of transparency, corruption and tortuous procedures, and extortion. This research aims to find a solution to bureaucratic pathology in West Java by using a digital government innovation. The research method used is Qualitative with a Case Study Approach, which aims to discover the West Java government's innovations in prevention to create an efficient bureaucratic system amidst the momentum of the pandemic. The results of the study show that the West Java Government has succeeded in innovating in preventing Bureaucratic Pathology by optimizing Government Digitalization or E-Government, namely creating the Jabar Saber hoaks and PIKOBAR Programs, which aim for various uses for the people of West Java during the Covid-19 period as well as developing an application for reporting the number of recoveries and died and spread validity news related to the issue of Covid-19 and other social problems in the Pandemic era.
Poverty Reduction In Bojonegoro Regency Based On Regional Autonomy Implementation
Authors: Febrianti Elika
Published: May 2023

Poverty Becomes a must problem quick completed , where problem poverty in the District Bojonegoro still many occur especially in regions with difficult access for reached. There is autonomy area (OTODA) is expected could strengthen power competitive with consider potential and diversity Indonesian region , as well democracy , equity , and justice , as well privileges and specialties. So that study this aim for review effectiveness application autonomy area to level poverty in the District Bojonegoro . Method research used is a mix of methods that is qualitative descriptive and quantitative equality regression . Research results this explain that Policy used in countermeasures poverty that exists in society is at level or level certain in accordance with criteria poverty experienced by the community . Government Regency Bojonegoro in To do countermeasures poverty To do cooperation with TNP2K (National Team for Management and Management poverty ). Decline poverty this no regardless with role government in take policy or use authority for welfare . As perpetrator in activity economy , society related tightly with achievements or deep targets growth economy . In accordance with results equality regression state that in the simultaneous test poverty influential significant on growth economy.. Based on conditions Regency Bojonegoro moment this accompanied with take into account strengths , opportunities , challenges , and more problems big that will faced in the future . Realization sustainable development is the main spirit that underlies it development area districts Bojonegoro in a manner evenly.
Organizational Capability of Jasinga District, Bogor Regency in Development of Village Administration
Authors: Santoso Santoso , Tukiran Martinus , Rusliandy Rusliandy , Juanda Enda , Wardani Peni Arianita
Published: May 2023

ABSTRACT The study aimed to analyze the organizational capabilities of the Jasinga District, Bogor Regency, in fostering the administration of village government with a broader scope of tasks and extensive budget management. The method is a descriptive qualitative approach with data collection techniques using interviews, observation, and literature studies. The analytical knife used is the concept of organizational capability put forward by Neo and Chan. The study's results stated that there were obstacles in the aspects of able people and agile processes, including limited staff, barriers to competency development, team member recruitment that could have used the merit system, substandard educational qualifications, and limited resources. This condition results in flawed thinking ahead, thinking again, and thinking across, which must be developed within the organization. The recommendations proposed are improving able people and agile processes by increasing educational qualifications, competency development programs, and merit system-based recruitment. Districts must also apply thinking ahead, thinking again, and thinking across in building dynamic organizational capabilities. Meanwhile, in the context of optimizing the development of village government administration, it is necessary to develop competence in the field of village administration for sub-district officials.
Symbolic Violence Through Negative Stereotypes Against Private School Students in Bantaeng Regency
Authors: Suardi Suardi
Published: May 2023

The research problem is the existence of symbolic violence against private school students through stereotypes. The purpose of the study was to analyze negative stereotypes against private school students as a means of symbolic violence. This research was conducted using the mixed method concurrent embedded method in 10 private schools and 6 public schools. Qualitative research informants as many as 43 people were determined using purposive sampling while 301 quantitative research respondents were determined using random sampling. Data was collected using a Likert and Gutman scale questionnaire, direct observation sheets, structured interview sheets and documents. The qualitative data that has been collected is analyzed through the stages of data reduction, displaying the data and then drawing conclusions, while the quantitative data is analyzed through the stages of verification, tabulation and data percentage. The results show that symbolic violence occurs because of negative stereotypes against private school students and stereotypes against actors or private schools carried out by public school actors who have accumulated capital, power in the world of education.
Practical Analysis of How to Use Web Resources in the English Language Classroom
Authors: Farkhodovna Mukhammadieva Shakhzoda
Published: May 2023

Abstract: The digital environment is an important component of English language teaching in higher education. The relevance of using digital technology in the teaching of English lies in the fact that modern information and communication technologies allow the teacher to all types of communicative activity: speaking, listening, reading, and writing. The article describes the techniques and methods of using of Internet resources for development and perfection of English language skills of legal studies students. The aim of the article is to generalize practical experience of using digital technologies in English classes. The paper presents a detailed algorithm for each web resource, which is presented as an example. Different types of information and communication technologies are discussed for use in the classroom by the teacher and for students' independent work outside of class time. The conclusion is made that modern information and communication technologies are a necessary and comprehensive tool for use in teaching and independent learning of English.
Implementation of a Logging System for an Optical Networking Device
Authors: Ihtesham Mohammed
Published: May 2023

Abstract: In this study, a logging system that captures, compiles, and examines log messages from a hardware component used in optical networking communications is designed, put into practise, and evaluated. The logging system's goal is to offer thorough and effective logging capabilities so that network administrators can efficiently monitor and troubleshoot the physical device. The system design, log message formats, data storage, analytic methods, and performance assessment are all covered in this study. The outcomes indicate the efficiency and value of the logging system in raising the dependability and upkeep of communication infrastructures for optical networking.
Biometric based Fingerprint Identification for Bank Locker Security System
Authors: Singh Suryansh Pratap , Aditya Utkarsh , Tiwari Ritesh , Mishra Alok Kumar , Singh Satyam , Singh Dr. Balwant
Published: May 2023

tract: This paper presents the human detection and recognition field is very significant and has undergone rapid changes with time. An important and very reliable human identification method is fingerprint identification. Fingerprint of every person is unique. So, this helps in identifying a person or improving security of a system. Finger print of a person is read by a special type of sensor. Finger print sensor can be interfaced with a microcontroller. Through fingerprint we can add new user and delete the existing user. In this project we use a fingerprint sensor to read one’s identity to automatically operate the door of the locker. For this, we use a microcontroller to enable the door opening or closing if the matching between scanned data and the already existing data is correct. Comparison is done inside the fingerprint module itself and its output is given to microcontroller. Result is displayed in an LCD display whether the user is authorized or not. The aim of our project is to design finger print based bank locker security system, which uses candidate’s fingerprint to decide the authenticity of candidate.
A Blockchain-based Approach for Drug Traceability in Healthcare Supply Chain
Authors: Bhagwat Kiran
Published: May 2023

Abstract: The blockchain typically described as a decentralized system in which transactional or ancient statistics are recorded, stored, and maintained throughout a peer-to-peer community of personal computers referred to as nodes. Counterfeit drugs are one consequence of such limitations within existing supply chains, which not only has serious adverse impact on human health but also causes severe economic loss to the healthcare industry. Blockchain technology has gained tremendous attention, with an escalating hobby in a plethora of several applications like safe and relaxed healthcare records management. Similarly, blockchain is reforming the traditional healthcare practices to an extra reliable means, in phrases of powerful prognosis and treatment through safe and cosy facts sharing using SHA Hash Generation Algorithm. Within the future, blockchain will be an era that can probably assist in personalized, authentic, and at ease healthcare by means of merging the entire actual-time scientific information of a patient’s fitness and offering it in an up to date cosy healthcare setup. In this paper, we evaluation each the present and modern day trends inside the subject of healthcare with the aid of imposing blockchain as a model. We also talk the packages of blockchain, at the side of the demanding situations confronted and destiny views. The proposed system executed blockchain implementation in distributed computing surroundings and it gives the automated restoration of invalid chain by using Consensus and Mining Algorithm. In this system, we present a Custom blockchain-based approach leveraging smart contracts and decentralized off-chain storage for efficient product traceability in the healthcare supply chain. The smart contract guarantees data provenance, eliminates the need for intermediaries and provides a secure, immutable history of transactions to all stakeholders. We present the system architecture and detailed algorithms that govern the working principles of our proposed solution. We perform testing and validation, and present cost and security analysis of the system to evaluate its effectiveness to enhance traceability within pharmaceutical supply chains.
Tweet Sentiment & Emotion Analysis
Authors: PK Jeevan Nair
Published: May 2023

Abstract: Tweet Sentiment & Emotion Analysis using Bi-LSTM in RNN. Twitter has developed into a useful medium for sharing ideas, attitudes, and feelings. Applications like opinion mining, market research, and social trend analysis all depend on the sentiment and emotion of tweets. The Bi-LSTM architecture in RNN (Recurrent Neural Networks) is used in this study to present an advanced method for sentiment and emotion analysis on Twitter. By utilising machine learning techniques, the objective is to increase the precision and efficacy of mood and emotion analysis. The study emphasises both conventional text analysis and real-time data analysis. Organisations and governmental bodies may continuously monitor sentiment and emotional patterns on Twitter thanks to real-time analysis, which enables them to react quickly to emerging problems or crises. In a typical text analysis, historical tweet data is examined to learn more about user viewpoints, emotional patterns, and sentiment distributions. The Bi-LSTM architecture is used because it can effectively capture the context and sequential dependencies found in tweets. To ensure consistent analysis, the system gathers real-time tweets and conducts the preprocessing stages. Monitoring sentiment changes, emotional responses, and new trends on Twitter are all made possible by this study. The goal of the research is to improve the precision and efficacy of sentiment and emotion analysis on Twitter by utilising machine learning techniques, real-time data analysis, and standard text analysis. The findings and conclusions will aid in understanding public mood and feelings in the digital age.
CliniNet: An Online Platform for all Healthcare Services
Authors: Fatima Shafaq , Husain Wajeeha , Rizvi Tuba , Rizvi Syed Mohd. Abbas , Dixit Shivam
Published: May 2023

Abstract: The COVID-19 pandemic has accelerated the adoption of digital healthcare solutions, prompting a shift from traditional manual procedures to digitally-enabled medical assistance. In response to the challenges faced during the pandemic, such as inadequate medical facilities, shortages of surgical instruments and medications, and unreliable lab results, this research presents "CliniNet: An online portal for all healthcare services," an innovative Android application. CliniNet serves as a comprehensive online platform for various healthcare services, offering features such as appointment scheduling, purchasing medicines and medical insurance, setting medication reminders, checking symptoms, and seeking diet-related advice. This paper explores the existing literature on healthcare applications, outlines CliniNet's architecture and features, discusses the implementation process, presents experimental data on performance and user satisfaction, and concludes with potential directions for future development. The CliniNet application addresses the necessity for improved access to healthcare services, catering to the evolving digital landscape
Machine Learning-Based Research on Network Security\'s Primary Technologies
Authors: Santhosh Mr. J.
Published: May 2023

Abstract: A large number of network devices, applications, and the explosive growth of network data have made the network environment extremely complex with significant potential hazards to network security. This is due to the ongoing development of information technology. Cyber attackers are now attacking network settings with connected histories rather than just common users; examples of these environments include businesses, governments, and nations. Massive amounts of Internet data have been produced by the diversification of network services, and traditional network security systems have had trouble keeping up with the demands of network security in terms of performance and self-adaptability. The growth of concepts in the field of network security has been greatly aided by research on machine learning-based network security that has produced numerous findings, demonstrating strong skills in processing large data, automatic learning, detection, and identification. In this paper, we integrate machine learning-related technologies to enhance the performance of intrusion detection and alarm correlation automation, and we investigate key technologies such as machine learning-based network security situational awareness methods and dynamic data stream classification methods based on judgment feedback, to enhance the detection performance, adaptive and generalization capabilities of machine learning-based network security
Real Estate Price Prediction Using Machine Learning
Authors: . Nishant
Published: May 2023

Abstract: The abstract of the real estate price prediction project for properties in Bengaluru involves using machine learning algorithms to develop a predictive model that can estimate the prices of properties in the city based on various features such as location, size, amenities, and so on. The dataset used for this project contains information on thousands of properties in different parts of Bengaluru, including their sale prices, size, location, number of bedrooms, bathrooms, and other key features. To build the predictive model, several machine learning algorithms such as linear regression, decision tree, random forest, and XGBoost are used to train the model on the given dataset. The performance of each model is evaluated using metrics such as mean absolute error, mean squared error, and R squared score, and the best performing model is selected as the final predictive model. Once the model is trained and tested, it can be used to predict the prices of new properties in Bengaluru based on their features. The model can also be used to identify the most important features that affect the price of properties in the city, which can be useful for real estate agents, property developers, and investors looking to buy or sell properties in Bengaluru.
A Comparative Study: Machine Learning Algorithms for Parkinson’s Disease Analysis
Authors: G Mr. Aniket
Published: May 2023

Abstract: Parkinson's disease (PD) is a complex neurodegenerative disorder that affects millions of people worldwide. Accurate diagnosis and monitoring of PD are essential for effective treatment and management of the disease. In recent years, machine learning algorithms have shown great promise in assisting with the analysis of PD data and aiding in diagnosis and prognosis. This study presents a comparative analysis of various machine learning algorithms for PD analysis, with the objective of identifying the most effective approach for detecting and predicting PD progression. Multiple machine learning algorithms, including decision trees, support vector machines, random forests, neural networks, and ensemble methods, are evaluated using a comprehensive dataset of PD patients and healthy individuals. The study in corporates feature selection and dimensionality reduction techniques to enhance the algorithms' performance and reduce computational complexity. The results of the comparative analysis reveal the strengths and weaknesses of each algorithm in PD analysis. In conclusion, this comparative study showcases the effectiveness of machine learning algorithms in the field of PD research. It emphasizes the importance of selecting appropriate algorithms and features for accurate diagnosis and prediction of PD, ultimately leading to improved patient outcomes and better management of the disease
Phishing Attack Detection on Text Messages Using Machine Learning Algorithms
Authors: Bamanikar Prof. Ashvini
Published: May 2023

Abstract: A revolutionary method that enables users to write in the air using hand gestures and precisely recognizes finger movement is the air writing and recognition system using the MediaPipe module. A new method that enables users to write in the air using hand movements while AWS Textract accurately translates and converts the written language is to use AWS Textract for air writing detection and recognition. It uses machine learning techniques to examine how the hand landmarks move over time and recognize various gestures. The system is an effective and user-friendly solution for jobs requiring text input and air writing due to its real-time tracking and precise recognition capabilities.
Butterfly Richness of Rammohan College, Kolkata, India: An Approach towards Environmental Audit
Authors: Mitra Srijanee
Published: May 2023

Abstract: The importance of biological diversity in influencing the sustainability of development efforts as well as local and global environmental changes is now more widely recognized. However, only a small number of West Bengal's major cities have investigated invertebrates in-depth, particularly butterflies. It can be used as a tool for management and conservation choices involving butterflies. As a result, it is imperative to compile a database or checklist of the variety of butterflies found throughout our country, especially in our state of West Bengal. Institutional campuses with undisturbed natural flora and seasonal flowering plantations provide suitable habitat for butterfly populations since they are frequently free of any development operations and pollutants. In Rammohan College campus 21 species of butterflies belonging to four families, 8 subfamilies were found more or less throughout the year.
Trend Analysis of E Commerce
Authors: Nayyar Japneet Singh , Khosla Tejna , Saini Vinay Kumar
Published: May 2023

Abstract: This concise research paper provides an analysis of the latest trends in the e-commerce industry based on recent trend analysis studies. The rapid growth of e-commerce has triggered noFig. shifts in consumer behavior, technology adoption, and market dynamics. By examining recent research findings, this paper identifies and explores key trends that are currently shaping the e-commerce landscape. The analysis highlights the escalating significance of mobile commerce, with a substantial portion of online transactions now taking place via mobile devices. It delves into the implications for e-commerce platforms, emphasizing the necessity of mobile optimization and the delivery of seamless user experiences. Furthermore, the paper investigates the growing influence of social media on e-commerce, encompassing the surge in influencer marketing, user-generated content, and the integration of social commerce. It examines their impact on consumer purchasing decisions and brand engagement. Moreover, the analysis addresses the rise of omnichannel retailing, the emergence of new business models and marketplaces, and the integration of advanced technologies within e-commerce operations. It also touches upon challenges such as cybersecurity threats, logistics optimization, and sustainability concerns. By conducting an in-depth analysis of the latest trend analysis research, this paper offers valuable insights for e-commerce practitioners, policymakers, and researchers. It underscores the need to remain well-informed and adapt strategies to effectively capitalize on emerging opportunities within the dynamic e-commerce market.
Role of IoT in Crowd Management using Bidirectional Attendance Counter
Authors: Thawait Shiwangi , Tiwari Akshat , Sharma Namita , Bhandari Babita , Patel Rakesh
Published: May 2023

Abstract: Crowd management is one of the most challenging tasks in public spaces like airports, train stations, and stadiums. The advent of the Internet of Things (IoT) has made it possible to automate the crowd management process. Bidirectional attendance counters are IoT devices that can help monitor the number of people entering and leaving a specific location. This paper discusses the role of IoT in crowd management using bidirectional attendance counters. The paper explains the design and working of the bidirectional attendance counter and how it can be used to manage crowds in public spaces.
To Improve the Strength of Concrete by Using Carbon Nanotubes (CNTs)
Authors: Ghogare Prof. Ram B.
Published: May 2023

Abstract: The use of carbon nanotubes (CNTs) in concrete has been gaining attention due to their unique properties, such as high strength, flexibility, and electrical conductivity. This study focuses on investigating the effect of adding CNTs to concrete mixtures on the strength of the resulting material. The concrete specimens were prepared with different percentages of CNTs, and their mechanical properties were measured and compared to those of control specimens without CNTs. The results showed that the addition of CNTs significantly improved the compressive and flexural strength of the concrete. The findings suggest that the incorporation of CNTs in concrete mixtures could be an effective way to enhance the mechanical properties of concrete and improve its performance in construction applications. Compared to the plain cement sample at 28 days. The highest increase in strength at 28 days for the 0.0045 wt.% MWCNTs and the 0.0030 wt.% MWCNTs was 43.4% and 37.79% respectively. It is concluded that nano composites with low concentration of long MWCNTs give comparable mechanical performance to the nano composites with higher concentration of short MWCNTs. Many of the MWCNIs were stretching across the micro-cracks showing CNT's breakage and pull-out. In addition to the compression test we had calculated the split tensile strength by adding the multi-walled carbon nano tubes by increasing the proportion as per the percentage. For 0.0015% MWCNT's, 0.0030% and 0.0045% the percentage of strength increased by 25.6%, 44.63% and 51.21% respectively.
Golpe de Estado en las ciudades de Chillán y San Carlos, 1973
Authors: Venegas Caro Diego Esteban , González Garcés José Miguel
Published: May 2023

Este artículo tiene por objetivo estudiar el impacto del golpe de Estado efectuado en Chile el año 1973, en escala local, enfocando el estudio en la ciudad de Chillán. Para ello se buscará comprender las dinámicas locales previas al golpe de Estado en la capital de la región de Ñuble que permitan explicar el despliegue cívico-militar represivo en la zona, analizando cómo se llevó a cabo el gobierno de la Unidad Popular, cuál fue la correlación de fuerzas y los principales actores políticos.
Para ello se estudiará este proceso desde la perspectiva de la nueva historia política chilena, tomando como fuentes entrevistas realizadas por el autor a militantes que sobrevivieron a la dictadura, problematizando la perspectiva de la memoria histórica, situándola como objeto y sujeto de estudio de la historia contemporánea chilena.
Feminicidio en Ciudad Juárez
Authors: Inostroza Flores Paulina
Published: May 2023

El estudio realiza una revisión de la construcción histórica del relato patriarcal en México, justificándose para ello en los abomina­bles asesinatos que vienen ocurriendo en Ciudad Juárez. Se utiliza un enfoque hermenéutico de análisis documental y bibliográfico, considerando tres aristas diferenciadas.

La primera de estas aristas ubica la participación de la mujer en el espacio público y analiza cómo la política se convierte, con el tiempo, en un lugar vedado para las mujeres, producto de prácticas y discursos constructores de realidad.

La segunda arista revisa la negación de la partici­pación de la mujer en las actividades económicas y como éstas recién en el siglo XX, con el creci­miento de las ciudades y el acceso a la educación, se abren a posibilidades de trabajo remunerado.

La tercera es la que entrega un fundamento epis­temológico a las dos anteriores, calificando en forma negativa a la mujer y determinando, a través de un relato con más de mil años de antigüedad, un orden moral que establece la primacía del hombre sobre la mujer.
Uma análise jurídica da sobreposição de territórios quilombolas por unidades de conservação no Jalapão
Authors: Matheus Barnabé Batista Leonardo
Published: May 2023

Este livro é o resultado da pesquisa realizada junto ao programa de Pós-graduação em Direito Agrário da Universidade Federal de Goiás (UFG) entre os anos de 2017 até o início de 2019. Os conflitos tematizados, abordados e analisados no decorrer do texto dissertativo, derivam de indagações críticas para efetivação da proteção constitucional ao meio ambiente sem a exclusão da cultura, pois uma vez que indissociáveis, devem ser garantidos sob uma leitura holística das normas constitucionais vigentes. Neste seguimento, a sobreposição de territórios quilombolas imposta pela institucionalidade subscrita na criação de unidades de conservação, sem critérios prévios de confluência entre a preservação da cultura e da natureza (necessários para harmonizar o que já está conservado historicamente com o que se impõe por forma ou fórmula Estatal para proteger o ambiente), ocasiona a superposição de direito territoriais para garantir preservação ou conservação de determinadas áreas, que sobre o manejo das populações quilombolas, já estariam hígida e ambientalmente conservadas. A lógica dicotômica que separa o natural do cultural introduz teoricamente o problema que modernamente é categorizado como necessário para o “avanço” da humanidade. Trata-se de simplificar relações complexas para solucionar um problema que também já estaria reduzido à reserva material daquilo que poderá ser fonte de recursos, lendo-se a natureza de forma economicista. Sob o olhar teórico, a crítica abordada neste estudo, ocorre em especial à citada dicotomia inflexível e segregacionista presente na lógica eminentemente econômica da preservação da natureza. A superposição do território sob um olhar dualista é também uma superposição de direitos territoriais, da cultura e do modo de ser e viver; incompatível com a leitura da norma constitucional vigente, impondo-se sua superação.