bluuebunny/crossref_metadata_2025 huggingface dataset:
Transplante dental autógeno: Uma alternativa viável na atualidade
Authors: Guimarães Ana Luiza Fernandes , Menezes Matheus Costa , Yamashita Ricardo Kiyoshi
Published: November 2024

O transplante dental autógeno é um procedimento cirúrgico que envolve a transferência de um dente, ou parte de um dente, de uma posição para outra no mesmo indivíduo. Este tipo de transplante tem uma longa história, remontando aos tempos antigos, quando os médicos da época realizavam tentativas primitivas de substituição de dentes. Nos dias de hoje, o transplante dental autógeno tem um papel importante na reposição dentária, especialmente em casos de trauma dental ou agenesia de dentes permanentes. O objetivo deste estudo caracteriza-se, por meio de uma revisão narrativa, analisar informações pertinentes a respeito do transplante dental autógeno enfatizando as indicações, as técnicas bem como apresentar as vantagens desse transplante frente a perdas dentárias precoces. Portanto realizou-se análises de artigos científicos nas plataformas Scientific Eletronic Library (Scielo) e PubMed considerado importantes para o tema escolhido. O transplante dental autógeno é justificado pela necessidade de reposição de dentes em casos de perda traumática ou ausência congênita. A importância desta técnica reside no fato de oferecer uma opção de tratamento altamente previsível e duradoura para pacientes que necessitam de reabilitação oral. Além disso, o transplante dental autógeno permite a preservação do tecido ósseo e a manutenção da estética e função mastigatória, contribuindo significativamente para a qualidade de vida dos indivíduos submetidos ao procedimento. Conclui-se que o transplante dental autógeno é uma técnica viável e eficaz para a reposição dentária em vários casos, com potencial para oferecer resultados duradouros e satisfatórios.
Análise salivar de alfa-amilase e cortisol como marcadores de dor, em pacientes que utilizam aparelhos ortodônticos convencionais fixos e alinhadores estéticos: Revisão de literatura
Authors: Treuko Sulamita Karine Medeiros , Steinle Erika Caroline , Paes-Souza Sylvia de Araujo , Madeiro Mirele Edlânia dos Santos , Carvalho Elaine Judite de Amorim
Published: November 2024

Maloclusões e desarmonias dentofaciais são fatores potenciais de impacto negativo na qualidade de vida dos indivíduos. Nesse sentido, a busca por um sorriso harmônico está em evidência há milhares de anos, sendo o tratamento ortodôntico uma alternativa terapêutica que proporciona função, estabilidade e, consequentemente, estética dentofacial. As queixas estéticas durante o tratamento impulsionaram a indústria a desenvolver os alinhadores ortodônticos, uma alternativa terapêutica que modifica a biomecânica do movimento dentário, com o intuito principal de reduzir a visibilidade dos componentes do aparelho fixo convencional. Assim como a estética, a dor ortodôntica é um dos principais efeitos colaterais decorrentes do tratamento, comumente relatada por pacientes, independentemente da modalidade de tratamento escolhida. A mensuração da dor ortodôntica pode ser feita por metodologias subjetivas, por meio de escalas verbais e/ou visuais, assim como por metodologias objetivas, com a análise de biomarcadores salivares, como a alfa-amilase e o cortisol. Esta revisão de literatura tem como objetivo comparar a experiência de dor ortodôntica relatada por indivíduos submetidos ao tratamento ortodôntico com aparelhos fixos convencionais e alinhadores ortodônticos, por meio da análise dos biomarcadores salivares cortisol e alfa-amilase. Para isso, foram selecionados artigos científicos nas bases de dados PUBMED, LILACS, SCIELO e BVS, nos idiomas português, espanhol e inglês. Concluiu-se neste estudo que pacientes submetidos a tratamento ortodôntico, tanto com aparelhos fixos convencionais quanto com alinhadores ortodônticos, não apresentaram diferenças nas dosagens de cortisol e alfa-amilase como biomarcadores salivares de dor de origem ortodôntica.
Saúde mental na gestação e no pós-parto com atuação do enfermeiro: Revisão integrativa
Authors: Silva Josiane dos Santos , Oliveira Ângela Maria Teixeira de , Nascimento Luan Souza do
Published: November 2024

A maternidade é caracterizada por luzes e sombras que, com o tempo, quase sempre encontram seu equilíbrio, permitindo um bom nível de satisfação e bem-estar. Todavia, o caminho para atingir um nível pleno de bem-estar pode ser longo e cheio de obstáculos. A depressão pós-parto possui alta prevalência e afeta mães, bebês e a família como um todo, podendo resultar em inúmeros efeitos negativos a longo prazo, visto que boa parte dos casos costuma se estender por períodos prolongados. O objetivo deste trabalho é discutir os fatores que influenciam a saúde mental das gestantes e mães no pós-parto, com ênfase na importância do diagnóstico e tratamento da depressão pós-parto e a atuação do enfermeiro neste contexto. O estudo foi realizado por meio de uma revisão integrativa da literatura de caractere qualitativo. A figura do enfermeiro colabora com outras figuras profissionais específicas que, pela sua formação e campo de intervenção, representam referências para a paciente obstétrica. Ajudar mulheres que sofrem de depressão é difícil porque é preciso saber acolhê-las e acompanhá-las durante todo o processo. As escolhas de cuidados não devem ser aleatórias, e as atitudes comportamentais e profissionais devem ser direcionadas, pois, para planejar os cuidados de enfermagem mais adequados, é necessário possuir competências e conhecimentos técnicos específicos. Reconhecer os sintomas e poder falar sobre eles livremente com profissionais especializados, como os enfermeiros, é geralmente o primeiro passo para resolver o problema. Por tais motivos, trata-se de um assunto extremamente relevante para os profissionais da área da saúde.
Inferring Upper Palaeolithic Human Mobility Strategies in the Pyrenees
Authors: Sánchez de la Torre Marta
Published: November 2024

The use of geochemistry to characterize chert tools recovered at hunter-gatherer sites is particularly interesting for inferring the territorial behavior of past societies and their mobility routes.
THE EFFECT OF CONSUMER KNOWLEDGE AND ATTITUDE ABOUT LIFE INSURANCE ON THE PURCHASE INTENTION OF ACCOUNTANTS WITHIN PAMPANGA
Authors:   College of Business Studies Don Honorio Ventura State University, Pampanga, Philippines, D. Akiate, DBA Yuri Walter , M. Dizon Adrian Keith ,   Bachelor of Science in Accountancy Don Honorio Ventura State University, Pampanga, Philippines, R. Clemente Jean Ashley ,   Bachelor of Science in Accountancy Don Honorio Ventura State University, Pampanga, Philippines, M. Francisco Ronnel ,   Bachelor of Science in Accountancy Don Honorio Ventura State University, Pampanga, Philippines, T. Gaza Francesca ,   Bachelor of Science in Accountancy Don Honorio Ventura State University, Pampanga, Philippines, M. Lintag Michelle ,   Bachelor of Science in Accountancy Don Honorio Ventura State University, Pampanga, Philippines, V. Malicdem Nicole ,   Bachelor of Science in Accountancy Don Honorio Ventura State University, Pampanga, Philippines
Published: November 2024

This study describes the respondents' knowledge on the information about life insurance, their attitude in terms of cognitive and behavioral attributes, and the respondents' intention to purchase it. It aimed to determine the effect of knowledge and attitude on purchase intention towards life insurance. The approach used in this study was Quantitative. The findings revealed that the respondents possessed high knowledge and positive attitudes towards life insurance, with strong purchase intentions. Furthermore, the study identified both knowledge and attitude as significant predictors of purchase intention, with attitude having a stronger effect which implies that a person’s intention to purchase life insurance would be higher if they had a good attitude towards it. These findings suggest that positive attitudes play a crucial role in influencing purchase decisions for life insurance
A STUDY OF MORPHOLOGICAL AND ANATOMICAL FEATURES OF ALMANIA NODIFLORA. L (FAMILY: AMARANTHACEAE)
Authors:   Lecturer, Department of Botany, V.S.M College (A) Adikavi Nannaya University, Ramachandra puram Andhra Pradesh, India., Likhitha D. , Devi B. ,   Teacher, Department of Botany Sri Bharati UP School, Rangampeta Andhra Pradesh, India.
Published: November 2024

A study of anatomical features of mature leaves, stem and root of Almania nodliflora (Family: Amaranthaceae) was examined with the microscope. It shows new characters. The internal structures were evaluated to clarify their effectiveness in solving taxonomic complexity and identification difficulty in this genus. In this genus to determine the special types of cells i.e., vascular bundles in root cells and also cortical cells in stem. Observation of transverse section showed that the epidermis is single layered with narrow tangential cells. Ground tissue consists of parenchyma and collenchyma. The vascular bundles are ovate shape and arranged in concentric rings. Also they maybe United, conjoint, collateral vascular bundles occurs. All the leaves are petiolate. Most of the mesophyll cells - the so called "kranz mesophyll cells" - are in direct contact with the bundle sheath but some are "non kranz mesophyll cells"- lack such contact. These plants are C4 plants they can photosynthesize with carbon fixation. Many species in the family have vitamins and pigments also. It is a medicinal plant A. nodiflora helps to cure some medicines like heart, eye problems, therapeutic, dietary formulation, cancer treatments. It is a good source of anti-oxidants
TEXTURE BASED ANALYSIS OF BIOMETRICS DATA USING MACHINE LEARNING ALGORITHMS
Authors:   Department of E&CE Guru Nanak Dev Engineering College, Bidar, India, Patil Shweta , Huggi Pooja ,   Department of E&CE Guru Nanak Dev Engineering College, Bidar, India
Published: November 2024

In the ever-changing world of computer security and user authentication, the username/password method is becoming increasingly antiquated. Using the same username and password for multiple accounts and websites puts a user at risk, but in the digital age, remembering multiple usernames and passwords seems unnecessary. Future authentication solutions must be dependable and fast while also allowing for secure access. Traditional username password standards should be complemented with facial biometrics, according to the literature, to improve user authentication. However, a thorough review is required to evaluate how reliable and effective this technique will be in diverse settings. In prior research, we looked explored using the vascular pattern of the sclera, episclera, and conjunctiva as a biometric indicator. These blood vessels, which can be seen on the white portion of the human eye in visible light, have rich and seemingly distinct properties that may be caught simply with commercially accessible digital cameras. In this paper, we use wavelet-derived features and neural network classifiers to provide a new method for expressing and matching the textural intricacies of this vascular system. Our findings, based on 50 subjects' data, reveal that the proposed method may quantify the distinctness of ocular surface vascular patterns, confirming our hypothesis that these patterns are indeed unique among people
ENHANCEMENT OF HYDROXYAPATITEZIRCONIA (10 WT %) COMPOSITE MICROWAVE CLADDING ON SS-316L
Authors:   Mechanical Engineering Department, Sri Sai College of Engineering and technol, Basotra Himanshu , Singh Shivdev ,   Mechanical Engineering Department, Sri Sai College of Engineering and technology, Badhani Pathankot 145001, India, Singh Shivinder ,   Mechanical Engineering Department, Chandigarh Engineering College, CGC-Jhanjeri, Mohali-140307, India, Sharma Sahil ,   Mechanical Engineering Department, Chandigarh Engineering College, CGC-Jhanjeri, Mohali-140307, India
Published: November 2024

Microwave processing of materials is fundamentally different from traditional techniques. In microwave processing, energy is directly transferred to the material through interaction of electromagnetic waves with molecules leading to volumetric heating. This leads to higher heating efficiency with faster processing. In case of microwave heating, it is the absorption of the microwave energy followed by volumetric heating involving a conversion of electromagnetic energy into thermal energy. The present work is based upon the fabrication of HA+10wt% ZrO2 cladding on the SS-316L substrate by using Microwave Hybrid Heating (MHH) technique. The 10% weight proportions of the hard particle are considered as optimum proportions of the reinforcement in the HA powder. It can be founded that average micro hardness value of SS-316L substrate was improved by 9.75%, 13.17%, 27.80% and 56.09% respectively at as-deposited, heat treated temperatures. The in-vitro test conducted in the simulated body fluid (SBF) condition reveals the formation of apatite layer on the clad specimens at all conditions
MACHINE LEARNING-BASED FORECASTING OF AIR QUALITY INDEX
Authors:   Dept. of Master of Computer Application Vivekananda College of Engineering and Technology Puttur, India, Rashmitha  , N Shetty Shamitha ,   Dept. of Master of Computer Application Vivekananda College of Engineering and Technology Puttur, India, H Neema ,   Dept. of Master of Computer Application Vivekananda College of Engineering and Technology Puttur, India
Published: November 2024

Air pollution increases the risk of various illnesses that harm people. Therefore, it is important to establish fore casting methods for authorities. This research developed a solid ML models for predicting the Air Quality Index (AQI) using a Random Forest Regressor. By leveraging a comprehensive dataset from the Central Pollution Control Board (CPCB), this comprises information from major Indian cities like Bangalore, Mangalore, Delhi, Ahmedabad, Mumbai, and Chennai, the model successfully identified key pollutants, PM10 and PM2.5, as significant predictors of AQI. The findings highlight the model’s reliability and potential applications in environmental monitoring and public health, providing valuable insights for timely interventions and policy-making aimed at improving air quality.
PRECISION FARMING THROUGH IOT: MONITORING HEAVY METALS IN WATER
Authors:   Assistant Professor, Department of Master of Computer Applications Vivekananda College of Engineering and Technology Puttur, India, Kumar K Mr. Anil , Mahabhaleshwara B Ganesh ,   II MCA, Department of Master of Computer Applications Vivekananda College of Engineering and Technology Puttur, India
Published: November 2024

IoT to monitor heavy metal concentrations in irrigation water, crucial for precision agriculture. Lowcost sensors detect heavy metals concentration, connecting to an IoT network for real-time data collection and transmission to the Blynk application. The system provides immediate insights into heavy metal levels, serving as an early warning to prevent crop and soil damage. The proposed model, developed using the NodeMcu8266 and screen-printed electrode strip, includes an LCD display, buzzer for alerts, and Blynk application for sending alert messages and displaying current, voltage, slope, and concentration data on the dashboard.
A COMPREHENSIVE STUDY OF ONLINE AND DIGITAL EDUCATION IN THE CONTEXT OF NATIONAL EDUCATION POLICY 2020
Authors:   Department of Information Technology K. K. Wagh Polytechnic, Nashik, Maharashtra, India, S. Gite Mrs. Nilima
Published: November 2024

It is widely accepted that any nation needs to have a clear, innovative, and modern education policy because education is an essential component of advancement in both society and the economy. Different nations have adopted different educational systems in consideration of their unique culture and traditions. The New Education Policy 2020 (NEP 2020), recently unveiled by the Indian government, aims to provide everyone with access to high-quality education while transforming our country sustainably into a just and dynamic knowledge society. Because of the recent rise in pandemics, we must be ready to provide other excellent educational options whenever traditional and in-person educational options are unavailable. In this context, the National Education Policy 2020 recognizes the significance of maximizing the benefits of technology while also noting its possible hazards and perils. Pilot studies should be properly designed and scaled to maximize the benefits of online/digital education while eliminating any drawbacks. This research paper looks at how NEP 2020 is affecting digital learning and education in India. The paper talks about how teaching needs to change for online learning to work well. It also talks about the important elements of NEP 2020 related to digital education, as well as its advantages and disadvantages. Furthermore, it looks at how educational technology can be used with the policy and gives suggestions on how to combine them effectively. The study says that rules should focus on important things like fixing problems with the internet and electricity, stopping bad behavior, and making sure the internet is safe. Using ICT in remote areas can pose hallenges due to limited internet access, insufficient technology infrastructure, and a lack of essential devices such as computers and phones. India is the best in the world at IT and also does well in other modern fields like using technology in education. The Digital India Campaign is using technology to change education all over the country. Digital learning will be a major part of making the education system better and achieving good results.
REVOLUTIONIZING TRADING: UNLOCKING THE POTENTIAL OF ARTIFICIAL INTELLIGENCE IN FINANCIAL MARKETS"
Authors:   Department of Computer Science & Engineering Maharishi University of Information Technology, Lucknow, Shukla Dr. Gouri
Published: November 2024

Artificial intelligence (AI) has transformed numerous industries, and financial trading is no exception. This paper explores the latest advancements in AI applications for trading, highlighting their benefits, challenges, and future directions. We discuss the emergence of new trading tops in AI, including machine learning algorithms, natural language processing, and deep learning techniques. Our research reveals that AIdriven trading systems can enhance predictive accuracy, improve risk management, and optimize portfolio performance. However, concerns surrounding data quality, market volatility, and ethical considerations must be addressed to ensure responsible AI adoption in trading.
INTEGRATIVE APPROACHES IN THE DETECTION OF LEAF DISEASES USING IMAGE PROCESSING AND MACHINE LEARNING TECHNIQUES
Authors:   Assistant Professor Department of Master of Computer Applications Vivekananda College of Engineering and Technology Puttur, India, K Ramesha , Ariga Samhitha ,   II MCA, Department of Master of Computer Applications Vivekananda College of Engineering and Technology Puttur, India, Poojalakshmi  ,   II MCA, Department of Master of Computer Applications Vivekananda College of Engineering and Technology Puttur, India
Published: November 2024

Leaf illnesses are a major global threat to food security and agricultural output. Visual inspection is a common component of traditional illness detection techinques, but it might be labor-intensive and subjective. In response, this work investigates integrative methods for computerized leaf diseases identification with processing of image and computer learning methods. Our approach performs well in differentiating between leaf illness such as fungal infections, viral diseases, and physiological problems by utilizing models for machine learning that were taught on a huge dataset of photos of both well and sick people leaves. Preprocessing methods like picture augmentation and normalization improve the models’ accuracy and generaliz ability, and complex algorithms for ML make feature retriving and disease categorization easier. Furthermore to improving agricultural health management, this research highlights how ML- driven approaches have the power to completely transform agricultural decision making and leaf illness surveillance.
STUDY ON ANTIBIOGRAM OF PSEUDOMONAS AERUGINOSA AND ACINETOBACTER BAUMANNII IN THE ICU SAMPLES FROM TERTIARY CARE HOSPITAL ON VITEK 2 COMPACT SYSTEM
Authors:   Post Graduate Student, Dept. of Microbiology Santosh Medical college and Hospital Ghaziabad UP (INDIA), Kumari Sangeeta , Rawat Dr. Ashutosh ,   Professor & HOD Dept. of Microbiology Santosh Medical college and Hospital Ghaziabad UP (INDIA), Jain DR. Ritu ,   Associate Professor Dept. of Microbiology Santosh Medical college and Hospital Ghaziabad UP (INDIA)
Published: November 2024

Introduction: Acinetobacter and Pseudomonas aeruginosaonce considered as an opportunistic pathogen has recently emerged as an important nosocomial pathogen world over, mostly involving patients with impaired host defences. Critically ill patients acquire an infection during their stay in Intensive Care Unit (ICU) and the frequency of these infections varies considerably in different populations and clinical setting. The purpose of this study was to know Antimicrobial sensitivity pattern of A.baumannii, P.aeruginosafrom various clinical samples collected from patients admitted in ICU at SANTOSH HOSPITAL GHAZIABAD over a period of one year from June 2022 to June 2023. Material and methods: A total of (17) A.baumannii, (3 )P. aeruginosa were obtained from 90 GNB samples (22.22%). Antimicrobial susceptibility testing of all A.baumannii, P.aeruginosaisolates was done using VITEK 2 COMPACT SYSTEM AUTOMATED as per recommendations of Clinical Laboratory Standards Institute (CLSI). Results: Maximum number of GNB were isolated from Blood (50%), Pus (24.44%), Endotracheal secretions and sputum (15.55%), Urine (4.44%). samples-tracheal aspirate (4.44%), followed by BAL (1.11%), All A.baumannii isolates were resistant to ceftazidime and cefepime. Higher level of resistance was also recorded for piperacillin/tazobactam (100%) gentamicin and amikacin (94.12%), ciprofloxacin (88.24%), ampicillin (100%). Resistance towards imipenem was recorded as (100%) and meropenem as (94.12%). Minimum resistance was shown towards Minocycline (47.06%) and Tigecycline (64.71%) P. aeruginosa Minimum resistance was shown toward Cefoperazone/Sulbactam (33.33) amikacin (66.67%) and ceftazidime (66.67%), also Piperacilline /Tazobactam (66.67%) all other drugs was most of resistance. Conclusion: A.baumannii, P. aeruginosa is emerging as a predominant healthcare associated multidrug resistant pathogen, especially in the ICU’s. The findings of this study will help our clinicians to apply prescribe suitable antibiotics for treatment of patients admitted in ICU.
MACHINE LEARNING ALGORITHMS FOR FORECASTING MORAL BEHAVIOUR IN COVID-19 CARDIOVASCULAR PROBLEM
Authors:   Asst.professor and Head of BCA G.Venkataswamy Naidu College, Kovilpatti, Tamilnadu, India, Gandhimathi Mrs.M.
Published: November 2024

Patients with COVID-19 who are hospitalized are always at danger of passing away. There may be a chance to forecast the mortality of COVID-19 hospitalized patients by using machine learning (ML) methods. Therefore, the objective of our study was to evaluate a number of machine learning (ML) algorithms for predicting COVID-19 mortality based on the patient's initial admission data and Choose the most effective one to use as a decision-making predictor. Following feature selection based on validated predictions, approximately 10,000 patient sample data were retrieved from the registry of various Tamilnadu hospitals for this study. The Data Mining(DM) strategy utilized in this examination is the Random Forest (RF) and support Vector Machine (SVM) calculation with Disarray Framework and k-fold Cross Approval testing. The results showed that the machine learning model could accurately predict the COVID-19 patient's treatment status with up to 91% accuracy using the SVM algorithm and up to 90% accuracy using the RF algorithm. After that, a number of machine learning algorithms were taught to predict COVID-19 mortality.
Modeling of Hypobaric and Hemic Hypoxia
Authors: Shinelev M. V.
Published: November 2024

The mechanisms of hypoxia development at various levels – from molecular and cellular to organ and systemic – continue to attract research attention. At present, the pathogenetic demonstration of a new principle of pharmacological correction of metabolism and dysfunction in hypoxia seems relevant. In this work, hypobaric and hemic hypoxia is modeled, and the main markers for assessing the condition of animals are identified. Animals from the model group showed statistically significantly lower results in behavioral tests, which confirmed the success of modeling. The tested model and the markers for assessing the condition can be used to determine the antihypoxic effect of active medicinal substances.
Interaction of β-amyloid Peptide with Insulin Detemir Studied by Biolayer Interferometry and Molecular Modelling
Authors: Shevelyova M. P. , Deryusheva E. I. , Nemashkalova E. L. , Vologzhannikova A. A. , Nazipova A. A. , Litus E. A.
Published: November 2024

The study of β-amyloid peptide (Aβ) interactions with protein and peptide ligands is a relevant research task. Aβ complexes with drugs that are considered as promising candidates for the therapy of Alzheimer’s disease are of particular interest. This category includes a group of hypoglycemic drugs, such as insulin detemir, a long-acting insulin analogue. In this work, the method of biolayer interferometry is used to obtain the kinetic and equilibrium parameters of interaction of insulin detemir and monomeric Aβ forms with a chain length of 40 and 42 amino acids. A model of “insulin detemir–Aβ40/42” complexes is proposed. The data obtained can be used to study the mechanisms of the effect of insulin detemir on cognitive functions of patients with Alzheimer’s disease.
Strategi Mengajar Guru untuk Mencegah Perilaku Riya' di Media Sosial pada Siswa di MAN 8 Jombang
Authors: Sabrienda Najwa A  , Suwandi  , Lukman Hakim
Published: November 2024

Kemajuan teknologi dan pesatnya perkembangan media sosial memberikan dampak signifikan terhadap berbagai aspek kehidupan, termasuk pendidikan dan perilaku siswa. Salah satu fenomena yang muncul adalah perilaku riya', yaitu tindakan memamerkan amal kebaikan untuk mendapatkan pengakuan atau pujian, yang semakin sering terjadi melalui media sosial. Penelitian ini bertujuan untuk menggali strategi yang diterapkan oleh guru Aqidah Akhlak di MAN 8 Jombang dalam mencegah perilaku riya' di kalangan siswa kelas X. Penelitian menggunakan pendekatan kualitatif dengan metode wawancara semi-terstruktur kepada guru. Hasil penelitian menunjukkan bahwa strategi yang digunakan meliputi diskusi kelompok, pembuatan kesimpulan materi, dan penerapan konsep tahadduts bin ni’mah untuk mengajarkan pentingnya bersyukur tanpa memamerkan nikmat. Strategi ini membantu meningkatkan pemahaman siswa terhadap nilai keikhlasan dan mengarahkan mereka untuk menggunakan media sosial secara bijak. Dengan demikian, langkah-langkah tersebut tidak hanya efektif dalam mencegah perilaku riya' tetapi juga dalam membentuk karakter siswa yang sesuai dengan nilai-nilai agama.
Pembangunan Infrastruktur Jaringan Internet Sebagai Pendukung Wisata Pemandian Desa Wringinsongo
Authors: Arief Sofyan Noor , Arief Prasetyo  , M. Hasyim Ratsanjani  , Luqman Affandi  , Habibie Ed Dien  , Very Sugiarto
Published: November 2024

Peraturan Menteri Desa, Pembangunan Daerah Tertinggal, dan Transmigrasi Republik Indonesia Nomor 4 tahun 2015 menyebutkan bahwa BUMDes merupakan salah satu bentuk penguatan perekonomian Desa untuk mengurangi berbagai kesenjangan antara desa dan kota. Desa sumberringin merupakan salah satu desa dimana memiliki aset yang luar biasa yaitu pemandian desa. Pemandian desa sumberringin yang dinamakan pemandian wringinsongo merupakan suatu pemandian alami yang terletah pada sebuah lembah yang ada di desa sumberringin. Pemandian tersebut mendapatkan airnya dari sumber air secara langsung. Suasana yang cukup sejuk ditambah dengan kesegaran air yang disuguhkan melalui kolam-kolam yang ada dilokasi pemandian membuat pengunjung merasa nyaman untuk datang berkunjung menikmati kesegarannya. Namun pengunjung seringkali mendapatkan kesulitan untuk mendapatkan akses internet. Akses internet diperlukan pengunjung untuk melakukan pengunggahan status ke media sosial tentang keberadaannya di lokasi pemandian dan berbagi pengalaman yang mereka rasakan disana. Lokasi pemandian yang berada dilembah menyulitkan signal untuk menjangkaunya. Oleh karena itu, tim penulis membantu untuk membangun infrastruktur jaringan sebagai pendukung wisata tersebut. Sebuah sumber koneksi internet yang berasal dari modem jaringan seluler diletakkan ditempat paling tinggi dilokasi untuk mendapatkan signal yang maksimal. Setelah itu koneksi tersebut dipancarkan kembali menggunakan perangkat tambahan ke area pemandian. Hasilnya, pengunjung pun dapat menikmati koneksi internet dengan lebih baik.
Pelatihan Pembuatan Media Komunikasi Visual sebagai Media Promosi di Tempat Wisata Sumberingin Kecamatan Tumpang Kabupaten Malang
Authors: Joni Dwi Pribadi  , Fullchis Nurtjahjani  , Heru Utomo  , Mahmudatul Himma  , Ane Fany Novitasari  , Abd Muqit
Published: November 2024

Tempat Wisata Alam Pemandian Sumberingin Kecamatan Tumpang, Kabupaten Malang terletak 2 km dari jalan utamamenuju tempat wisata. Pada saat  wisatawan berkunjung ke tempat wisata mengalami kesulitan sampai ke tempat tujuan dan waktu yang dibutuhkan oleh wisatawan untuk berkunjung ke Tempat Wisata Alam Pemandian Sumberingin tidak efektif dan tidak efisien. Untuk mengatasi permasalahan, yaitu 1.) Membuat media komunikasi visual berupa papan nama dan penunjuk arah menuju Tempat Wisata Alam Pemandian Sumberingin, 2.) Memilih lokasi yang tepat untuk pemasangan papan nama dan penunjuk arah menuju Tempat Wisata Alam Pemandian Sumberingin. Kegiatan Pengabdian Pada Masyarakat meliputi pemilihan tempat untuk pemasangan papan nama dan penunjuk arah serta mendesain modelnya yang menarik dan mudah dipahami oleh wisatawan. Desain papan nama dan penunjuk arah dibuat dengan persetujuan bersama dengan pihak mitra. Kemudian, dilakukan pemasangan papan nama dan penunjuk arah ditempat yang telah dipilih oleh mitra. Dengan memberikan pelatihan pembuatan media komunikasi visual berupa papan nama dan petunjuk arah diharapkan dapat memperjelas Wisatawan berkunjung ke tempat wisata dengan cepat dan tepat sampai ke Tempat Wisata Alam Pemandian Sumberingin. Selanjutnya pembuatan papan nama dan penunjuk arah yang baik dan jelas merupakan salah satu media promosi penjualan
 
Kata kunci: Media Komunikasi Visual, Promosi, Wisata Alam
Prevalence and risk factors of mortality among heart failure patients in low resource setting hospitals: a multicenter prospective observational study
Authors: Bekele Firomsa , Sheleme Tadesse , Tsegaye Tesfaye , Parameswari S. Angala , Syed Manjoor Ahamad , Tafese Lalise , Gezimu Wubishet
Published: November 2024

Background

Heart failure is a significant worldwide health problem that leads to mortality. Therefore, this study aimed to evaluate treatment outcomes and associated factors of heart failure patients who were admitted to hospitals in the southwest of Ethiopia.

Methods and participants

A multicenter prospective observational study was conducted from 1 February to 1 August 2021. Drug therapy problems were assessed as per the Cipolle, Strands, and Morley drug therapy problems classification method. The drug therapy was registered by using the drug-related problem registration format. The results of logistic regression analysis was interpreted as crude odds ratio and adjusted odds ratio (AOR) at 95% confidence interval (CI) to determine the association between dependent and independent variables.

Results

In our study settings, a total of 205 (85.1%) heart failure patients showed improvement and 36 (14.9%) died at hospital discharge. Being ≥65 years (AOR = 7.14, 95% CI: 2.04–.25.01, P = 0.002), a previous hospitalization (AOR = 6.20, 95% CI: 1.81–21.21, P = 0.004), and the presence of medication-related problems (AOR = 3.65, 95% CI: 1.13–11.73, P = 0.03) were the predictors of mortality.

Conclusion

The prevalence of in-hospital mortality among heart failure patients was found to be high. Previous hospitalization, older age, and the presence of drug therapy problems were the predictors of mortality among heart failure patients. Therefore, proper attention should be given to the management of elderly and re-admitted heart failure patients in addition to their regular care. In addition, hospitals should implement clinical pharmacy services to address any drug-related problems.
Safety and efficacy of intracardiac echocardiography-guided zero-fluoroscopy ablation in atrial fibrillation patients: a comparative study of high-power short-duration and low-power long-duration strategies
Authors: Liu Guang-an , Shao Bo , Wu Wanglong , Zhou Linxiao , Cui Jing , Chen Wenxue , Zhang Ruoxi , Liu Feng
Published: November 2024

Introduction

In atrial fibrillation (AF) ablation, fluoroscopy has been a standard tool for catheter guidance. However, the combination of electroanatomic mapping systems (EAMs) and intracardiac echocardiography (ICE) now allows for minimal or zero-fluoroscopy procedures. Concurrently, high-power short-duration (HPSD) ablation has emerged as a promising technique, offering enhanced resistive heating while reducing conductive heating. This approach potentially improves both safety and efficacy. Despite these advancements, there is a lack of comprehensive clinical data on the safety and effectiveness of HPSD ablation when used in conjunction with ICE-guided zero-fluoroscopy procedures.

Objective

To compare two different ablation strategies—high-power short-duration (HPSD) and low-power long-duration (LPLD)—both utilizing intracardiac echocardiography (ICE)-guided zero-fluoroscopy in the context of atrial fibrillation (AF) ablation.

Methods

This retrospective study included 173 consecutive patients with AF who underwent ICE-guided zero-fluoroscopy ablation. Patients were divided into two groups: HPSD and LPLD. All procedures were conducted using an EAM system with ICE guidance. Both groups underwent routine pulmonary vein isolation (PVI), with additional linear ablations performed for persistent AF when necessary. We compared treatment outcomes and the incidence of complications between the two groups.

Results

All procedures were successfully completed under ICE-guided zero-fluoroscopy, establishing a feasible and reliable workflow. The procedure and ablation times were significantly shorter in the HPSD group compared to the LPLD group. At one-year follow-up, sinus rhythm was maintained in 77 patients in the HPSD group and 74 patients in the LPLD group, with no significant difference between the two group. Postoperative complications occurred in 5 patients in the HPSD group and 3 patients in the LPLD group. Importantly, there were no major adverse cardiac and cerebrovascular events (MACCE) in either group.

Conclusion

A zero-fluoroscopy workflow utilizing an EAM system combined with ICE appears to be both feasible and safe for ablation in AF patients. In patients undergoing ICE-guided zero-fluoroscopy ablation, the HPSD strategy is comparable to LPLD ablation in effectiveness while offering the benefit of shorter procedure and ablation times.
Optimal statistical method selection for landslide susceptibility assessment and its scale effect
Authors: Yang Yuqian , Wei Xiaoyan , Wang Xiaoxiao , Huang Bangmei , Peng Shuangyun , Lin Zhiqiang , Zhu Jiaying , Lu Xiangmei , Gong Luping , Chen Mingxiao
Published: November 2024

Accurate landslide susceptibility assessment is vital for disaster prevention, but current mapping lacks systematic analysis of the underlying mechanisms between multi-scale factors and model performance. Taking Zhenxiong County as an example, this paper combines the IV, WOE, LR models, and PCA to reveal the impact of methodological differences and scale selection on mapping results, and quantitatively evaluates them using ROC curves and landslide density statistics. Results show that: 1) The scale effect of influencing factors is significant. Natural factors such as topography, geological conditions, and rainfall play dominant roles at the regional scale, while the impacts of human activities, geological features, and soil erosion intensity are more pronounced at local and moderate scales. 2) The landslide susceptibility mapping results of the three models at different spatial scales show similar spatial distribution trends. As the spatial scale increases, high/very high susceptibility areas and low/very low susceptibility areas spread outward, while the spatial distribution of medium susceptibility areas shows a fragmented expansion outward first and then agglomeration and contraction inward. 3) Scale selection significantly affects the accuracy of landslide susceptibility mapping, and expanding the spatial scale appropriately improves mapping precision. The IV and WOE models show the highest AUC at the 600-m buffer, while the LR model peaks at 400 m. In terms of landslide identification accuracy, the IV model performs best at 400-m buffer, WOE at 600-m buffer, and LR at 100 -meter buffer. 4) Different methods have different mapping performances. Overall, the IV model performs best, followed by the WOE model, with the LR model lagging behind. In terms of high-risk area recognition, the LR model excels, followed by the IV model, while the WOE model performs relatively poorly. 5) Scale and method selection significantly impact landslide susceptibility mapping outcomes. The IV model excelled in global prediction at the 600-m buffer, whereas the LR model was effective in pinpointing high-risk areas at the 100-m buffer. This paper proposes a landslide susceptibility evaluation method that integrates model performance and scale effects, enhancing disaster assessment and prevention capabilities.
Identification of oxidative stress-related biomarkers in uterine leiomyoma: a transcriptome-combined Mendelian randomization analysis
Authors: Li Yingxiao , Chen Haoyue , Zhang Hao , Lin Zhaochen , Song Liang , Zhao Chuanliang
Published: November 2024

Background

Oxidative stress has been implicated in the pathogenesis of uterine leiomyoma (ULM) with an increasing incidence. This study aimed to identify potential oxidative stress-related biomarkers in ULM using transcriptome data integrated with Mendelian randomization (MR) analysis.

Methods

Data from GSE64763 and GSE31699 in the Gene Expression Omnibus (GEO) were included in the analysis. Oxidative stress-related genes (OSRGs) were identified, and the intersection of differentially expressed genes (DEGs), Weighted Gene Co-expression Network Analysis (WGCNA) genes, and OSRGs was used to derive differentially expressed oxidative stress-related genes (DE-OSRGs). Biomarkers were subsequently identified via MR analysis, followed by Gene Set Enrichment Analysis (GSEA) and immune infiltration analysis. Nomograms, regulatory networks, and gene-drug interaction networks were constructed based on the identified biomarkers.

Results

A total of 883 DEGs were identified between ULM and control samples, from which 42 DE-OSRGs were screened. MR analysis revealed four biomarkers: ANXA1, CD36, MICB, and PRDX6. Predictive nomograms were generated based on these biomarkers. ANXA1, CD36, and MICB were significantly enriched in chemokine signaling and other pathways. Notably, ANXA1 showed strong associations with follicular helper T cells, resting mast cells, and M0 macrophages. CD36 was positively correlated with resting mast cells, while MICB was negatively correlated with macrophages. Additionally, ANXA1 displayed strong binding energy with amcinonide, and MICB with ribavirin.

Conclusion

This study identified oxidative stress-related biomarkers (ANXA1, CD36, MICB, and PRDX6) in ULM through transcriptomic and MR analysis, providing valuable insights for ULM therapeutic research.
Moderating effects of body composition biomarkers on the relationship between thyroid hormones and cognitive performance in euthyroid older adults: insights from NHANES data
Authors: Li Xiaosong , Duan Hongliang , Liu Shuang , Li Hanyang , Zhang Hong
Published: November 2024

Background

Thyroid hormones are essential for cognitive function and can impact cognitive performance even in euthyroid individuals. This study investigates how thyroid hormones influence cognitive performance in the elderly and whether body composition biomarkers moderate this relationship. The aim is to determine if lifestyle interventions should prioritize weight loss, overall body fat reduction, or abdominal fat loss.

Methods

We analyzed data from the NHANES 2011-2012 dataset, focusing on thyroid hormone levels, cognitive performance, and body composition metrics in euthyroid individuals aged 60 to 80 years. A total of 573 participants were included in the analysis. Pearson correlation analyses were conducted to evaluate the associations between thyroid hormone indicators and cognitive performance metrics. Ordinal logistic regression and linear regression analyses were used to determine the predictive capacity of thyroid hormones on cognitive functions, adjusting for potential confounders such as age, gender, and education level. Statistical analyses were performed using R Studio and Stata, utilizing Pearson correlation, ordinal logistic regression, and linear regression methods.

Results

Significant correlations were observed between short-term memory and TT3 (r = 0.111, p = 0.018), TSHI (r = -0.121, p = 0.010), and TFQI (r = -0.107, p = 0.023); delayed memory and FT3 (r = 0.143, p = 0.003), TT3 (r = 0.146, p = 0.002), and TSHI (r = -0.125, p = 0.009); and executive function with FT4 (r = -0.141, p = 0.003) and the FT3/FT4 ratio (r = 0.137, p = 0.004). Although thyroid indicators did not independently predict short-term memory (OR = 0.006, p = 0.116), they were statistically significant for delayed memory with FT3 (OR = 0.642, p = 0.017) and TT3 (OR = 0.010, p = 0.015). Linear regression analysis indicated that FT4 (t = -2.99, p = 0.003) and the FT3/FT4 ratio (t = 2.91, p = 0.004) were significant predictors of executive function. Hierarchical regression analyses revealed that BMI and waist circumference (WWI) significantly moderated the relationship between thyroid function and short-term memory (BMI: z = 2.44, p = 0.015; WWI: z = -2.19, p = 0.029). BMI also moderated the models for delayed memory (z = 2.11, p = 0.035), while RFM and C-index did not exhibit significant moderating effects. No moderators were identified in the relationship between executive function and thyroid hormones.

Conclusion

This study underscores the significant influence of higher BMI and waist circumference on the relationship between thyroid function and memory performance. In contrast, body composition indicators such as RFM and C-index do not appear to significantly affect cognitive function related to thyroid levels, highlighting the importance of fat distribution in cognitive health assessments.
Design, techno-economic evaluation, and experimental testing of grid connected rooftop solar photovoltaic systems for commercial buildings
Authors: Habib Salman , Tamoor Muhammad , Gulzar Muhammad Majid , Chauhdary Sohaib Tahir , Ahmad Hasnain , Alqahtani Mohammed , Khalid Muhammad
Published: November 2024

This study aims to investigate the potential of rooftop solar photovoltaic systems for commercial buildings. Helio-Scope software is utilized to perform simulations to determine the ideal rooftop area for photovoltaic panels. The efficiency of photovoltaic systems is impacted by the shading effects of photovoltaic modules installed in parallel rows. To enhance energy output, the optimal distance between rows is determined, and it is found that 5-feet inter-row spacing provides the best results. The simulation results indicate that with 5-feet inter-row spacing, photovoltaic system has an energy generation of 371.6 MWh, specific yield of 1508.0 kWh/kWp, performance ratio of 82.1%, solar access rate of 98.9%, total solar resource fraction of 96.3% and a total irradiance of 1655.9 kWh/m2. The annual nameplate energy is 425.1 MWh, output energy at irradiance levels is 423.1 MWh, optimal DC output is 378.5 MWh, inverter output is 373.5 MWh, and total energy delivered to the national power grid is 371.6 MWh. The average daily DC inverter input power is 158881.5110 W and the average daily AC inverter output power is 152231.6311 W, showing an inverter efficiency of approximately 95.93%. Moreover, detailed testing of the installed PV system is performed on-site to make sure that equipment’s performance guarantees are achieved, the system is properly installed and its configuration is suitable for commercial operations. The maximum daily output energy generation of an installed photovoltaic (PV) system is 1.33 MWh, and its average energy generation is 1.09 MWh. The voltage of all strings is within the rated range of the inverter, with a maximum voltage of 835 V and a minimum of 698 V, as tested by PV string open-circuit voltage. The inverter efficiency test is also performed, with a maximum efficiency of 98.83% and fill factors ranging from 81.37% to 82.34%. The payback period of a photovoltaic system is 4.22 years and LCOE is 0.0229$/kWh. PV system saved 215569.818 metric tons of CO2 in the first year and a total of approximately 5068976.99 metric tons in 25 years.
USA-Mexico border wall impedes wildlife movement
Authors: Harrity Eamon J. , Traphagen Myles , Bethel Meagan , Facka Aaron N. , Dax Michael , Burns Emily
Published: November 2024

Geopolitical boundaries can present challenges to wildlife conservation because of varying environmental regulations, and increasingly, the existence of border barriers. As of 2024, approximately 1,023 km of border walls (i.e., steel bollard walls 5.5-9.1 m tall with interstitial spaces ≤10 cm) and 169 km of vehicle barriers (i.e., variable steel structures designed to stop vehicles but not pedestrians) exist along the USA-Mexico border. Some small wildlife passages (21.5 x 27.8 cm) were installed in border walls but few other accommodations for wildlife connectivity exist. As such, ecological consequences of border barriers may be severe and documenting the ability of wildlife to traverse these barriers will be essential to conservation efforts. We placed 36 wildlife cameras across 163.5 km of the USA-Mexico border in Arizona, USA and Sonora, MX to evaluate crossing rates through border barriers for 20 terrestrial species. We observed 9,240 wildlife events, including 1,920 successful crossing events. All focal species crossed through vehicle barriers, whereas white-tailed deer, mule deer, American black bear, American badger, wild turkey, and mountain lion appeared unable to cross through interstitial spaces in border walls. Small wildlife passages improved crossing rates for several species, including American badger, collared peccary, coyote, and mountain lion. Yet, small wildlife passages were scarce with only 13 along >130 km of continuous border wall and failed to allow American black bear, deer, and wild turkey to cross. Additional research on the impacts of border barriers and potential mitigation strategies will be critical for effective transboundary conservation.