bluuebunny/crossref_metadata_2025 huggingface dataset:
A random forest algorithm for the prediction of cloud liquid water content from combined CloudSat–CALIPSO observations
Authors: Schulte Richard M. , Lebsock Matthew D. , Haynes John M. , Hu Yongxiang
Published: June 2024

Abstract. A significant fraction of liquid clouds are not captured in existing CloudSat radar-based products because the clouds are masked by surface clutter or have insufficient reflectivities. To account for these missing clouds, we train a random forest regression model to predict cloud optical depth and cloud top effective radius from other CloudSat and CALIPSO observables that do not include the radar reflectivity profile. By assuming a subadiabatic cloud model, we are then able to retrieve a vertical profile of cloud microphysical properties for all liquid-phase oceanic clouds that are detected by CALIPSO's lidar but missed by CloudSat's radar. Daytime estimates of cloud optical depth, cloud top effective radius, and cloud liquid water path are robustly correlated with coincident estimates from the MODIS instrument on board the Aqua satellite. This new algorithm offers a promising path forward for estimating the water contents of thin liquid clouds observed by CloudSat and CALIPSO at night, when MODIS observations that rely upon reflected sunlight are not available.
Design and evaluation of BOOGIE: a collector for the analysis of cloud composition and processes: Biological, Organics, Oxidants, soluble Gases, inorganic Ions and metal Elements
Authors: Vaitilingom Mickael , Bernard Christophe , Ribeiro Mickael , Berthod Christophe , Bianco Angelica , Deguillaume Laurent
Published: June 2024

Abstract. Cloud/fog droplets comprise a myriad of chemical compounds and are living environments in which microorganisms are present and active. These chemical and biological elements can evolve in various ways within the cloud system, and the aqueous transformation of chemicals contributes to atmospheric chemistry. In situ cloud studies are fundamental in this sense, because they enable us to study the variability in cloud chemical composition as a function of environmental conditions and assess their potential for transforming chemical compounds. To achieve this objective, cloud water collectors have been developed in recent decades to recover water from clouds and fogs using different designs and collection methods. In this study, a new active ground-based cloud collector was developed and tested for sampling cloud water to assess the cloud microbiology and chemistry. This new instrument, BOOGIE, is an easy mobile sampler for cloud water collection with the objective of being cleanable and sterilisable, respecting chemical and microbial cloud integrity, and presenting an efficient collection rate of cloud water. Computational fluid dynamics simulations were performed to theoretically assess the capture of cloud droplets by this new sampler. Few turbulences have been observed inside the collector and a 50 % collection efficiency cutoff of 10 µm has been estimated. The collector was deployed at Puy de Dôme station under cloudy conditions for evaluation. The water collection rates were measured at 156 ± 52 mL h-1 for a collection of 17 cloud events; considering the measured liquid water content, the sampling efficiency of this new collector has been estimated at 87.2 ± 8.6 % over the same set of cloud events. BOOGIE was compared with other active cloud collectors commonly used by the scientific community (Cloud Water Sampler and Caltech Active Strand Cloud Collector version 2). Four cloud events were collected; the three samplers presented similar collection efficiencies (between 79 % and 88 % on average). The measured ionic composition was comparable even if differences were highlighted between collectors, the consequence of different designs, and the intrinsic homogeneity in the chemical composition within the cloud system.
Distribution-based pooling for combination and multi-model bias correction of climate simulations
Authors: Vrac Mathieu , Allard Denis , Mariéthoz Grégoire , Thao Soulivanh , Schmutz Lucas
Published: June 2024

Abstract. For investigating, assessing, and anticipating climate change, tens of global climate models (GCMs) have been designed, each modelling the Earth system slightly differently. To extract a robust signal from the diverse simulations and outputs, models are typically gathered into multi-model ensembles (MMEs). Those are then summarized in various ways, including (possibly weighted) multi-model means, medians, or quantiles. In this work, we introduce a new probability aggregation method termed “alpha pooling” which builds an aggregated cumulative distribution function (CDF) designed to be closer to a reference CDF over the calibration (historical) period. The aggregated CDFs can then be used to perform bias adjustment of the raw climate simulations, hence performing a “multi-model bias correction”. In practice, each CDF is first transformed according to a non-linear transformation that depends on a parameter α. Then, a weight is assigned to each transformed CDF. This weight is an increasing function of the CDF closeness to the reference transformed CDF. Key to the α pooling is a parameter α that describes the type of transformation and hence the type of aggregation, generalizing both linear and log-linear pooling methods. We first establish that α pooling is a proper aggregation method by verifying some optimal properties. Then, focusing on climate model simulations of temperature and precipitation over western Europe, several experiments are run in order to assess the performance of α pooling against methods currently available, including multi-model means and weighted variants. A reanalysis-based evaluation as well as a perfect model experiment and a sensitivity analysis to the set of climate models are run. Our findings demonstrate the superiority of the proposed pooling method, indicating that α pooling presents a potent way to combine GCM CDFs. The results of this study also show that our unique concept of CDF pooling strategy for multi-model bias correction is a credible alternative to usual GCM-by-GCM bias correction methods by allowing handling and considering several climate models at once.
The impacts of elevated CO2 on forest growth, mortality, and recovery in the Amazon rainforest
Authors: Yao Yitong , Ciais Philippe , Joetzjer Emilie , Li Wei , Zhu Lei , Wang Yujie , Frankenberg Christian , Viovy Nicolas
Published: June 2024

Abstract. The Amazon rainforest plays a crucial role in global carbon storage, but a minor destabilization of these forests could result in considerable carbon loss. Among the external factors affecting vegetation, elevated CO2 (eCO2) levels have long been anticipated to have positive impacts on vegetation, including the direct enhancement of both photosynthesis and productivity and increasing water use efficiency. However, the overall impact of eCO2 on the net carbon balance, especially concerning tree-mortality-induced carbon loss and recovery following extreme drought events, has remained elusive. Here, we use a process-based model that couples physiological CO2 effects with demography and both drought mortality and resistance processes. The model was previously calibrated to reproduce observed drought responses of Amazon forest sites. The model results, based on factorial simulations with and without eCO2, reveal that eCO2 enhances forest growth and promotes competition between trees, leading to more natural self-thinning of forest stands. This occurs following a growth–mortality trade-off response, although the growth outweighs the tree loss. Additionally, eCO2 provides water-saving benefits, reducing the risk of tree mortality during drought episodes. However, extra carbon losses could still occur due to an eCO2-induced increase in background biomass density, leading to “more carbon available to lose” when severe droughts happen. Furthermore, we found that eCO2 accelerates drought recovery and enhances drought resistance and resilience. By delving into the less-explored aspect of tree mortality response to eCO2, the model improvements advance our understanding of how carbon balance responds to eCO2, particularly regarding mechanisms of continuous competition-induced carbon loss vs. pulses of drought-induced carbon loss. These findings provide valuable insights into the intricate ways in which rising CO2 influences forest carbon dynamics and vulnerability, offering a critical understanding of the Amazon rainforest's evolution amidst more frequent and intense extreme climate events.
Analisis pengaruh keselamatan kesehatan kerja (K3) terhadap produktivitas kerja karyawan dengan metode uji regresi linear berganda di PT Hitachi Power System Indonesia
Authors: Vendhi Prasmoro Alloysius , Isdaryanto Iskandar  , Abdul Bashit  , Apriyani  , Ucu Agustini Srimulyani
Published: June 2024

Keselamatan dan kesehatan kerja (K3) karyawan merupakan faktor penentu keberhasilan perusahaan, baik yang bergerak dalam bidang produksi barang maupun jasa. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh penerapan keselamatan dan kesehatan kerja terhadap produktivitas kerja karyawan. Penelitian ini merupakan penelitian kuantitatif denganpendekatan survei. Jumlah sampel sebanyak 80 orang, sedangkan teknik pengambilan sampel menggunakan sampel acak sederhana. Pengujian instrumen menggunakan uji validitas dan ujireliabilitas. Hasil penelitian menunjukkan bahwa variabel keselamatan kerja (X1) dan kesehatan kerja (X2) secara simultan berpengaruh signifikan terhadap produktifitas kerja karyawan PT Hitachi Power System Indonesia dimana didapatkan nilai produktivitas Y adalah 0,772, untuk nilai koefisien kesehatan kerja (X1) sebesar 0,848 dan keselamatan kerja (X2) sebesar 0,823. Sehingga variabel independen tersebut mempunyai pengaruh positifterhadap produktivitas karyawan di PT Hitachi Power System Indonesia (Y), dimana setiap adanya kenaikan variabel independen, variabel dependen produktivitas karyawan (Y) akansemakin meningkat pula.
Studi kinerja jaringan irigasi pada daerah irigasi renggung kabupaten Lombok Tengah
Authors: Evayanti Restusari
Published: June 2024

Dampak kemunduran kinerja irigasi bersifat langsung dan tidak langsung. Dampak langsung adalah turunnya produktivitas, turunnya intensitas tanam dan meningkatnya risiko usahatani. Dampak tidak langsung adalah melemahnya komitmen petani untuk mempertahankan ekosistem sawah karena buruknya kinerja irigasi mengakibatkan lahan tersebut kurang kondusif untuk usaha tani terutama tanaman padi. Dalam rangka memperoleh gambaran tentang kondisi daerah irigasi yang dikelola, maka perlu adalanya kajian terhadap daerah irigasi, untuk mengetahui kondisi kinerja irigasi dan menentukan prioritas penanganan rehabilitasi jaringan irigasi serta pengambilan kebijakan. Nilai hasil evaluasi penilaian kinerja DI. Renggung adalah 75,8 % dimana kondisi kinerja Irigasi Daerah Irigasi Renggung adalah Kinerja Baik.
Penggunaan metode analitycal hierarchy process (AHP) untuk mengevaluasi kinerja waktu penyelesaian project pembangunan PLTU Jeranjang
Authors: Noviyanthi Sri Maulin
Published: June 2024

PLTU adalah pembangkit listrik yang mengubah energi kinetik uap menjadi energi listrik. Pembangunan PLTU sangat dibutuhkan utuk menunjang optimalisasi daerah pariwisata. Salah satu daerah pariwasata yang sedang berkembang dalam pariwisata di Indonesia yakni Lombok. Namun optimalisasi Lombok sebagai daerah wisata masih terhalang beberapa kendala yakni salah satunya adalah kondisi infrastruktur kelistrikannya yang belum memadai karena masih mengalami defisit. Untuk itu PT. PLN (Persero) membangun PLTU yang terletak di Dusun Jeranjang. Akan tetapi PLTU Jeranjang belum dapat beroperasi dengan optimal dikarenakan masih terdapat beberapa kendala selama pembangunan. Karena itu perlu dilakukan evaluasi pelaksanaan pembangunan PLTU Jeranjang untuk mengetahui faktor utama penyebab keterlambatan penyelesaian PLTU Jeranjang. Metode yang digunakan dalam penelitian ini adalah Analitycal Hierarchy Process (AHP). Metode AHP digunakan untuk mendapatkan faktor utama penyebab keterlambatan pembangunan. Dari hasil AHP, diperoleh hasil yaitu perubahan desain dengan bobot 43,8 % menjadi faktor utama dalam penyelesaian proyek. Faktor – faktor lainnya yang berpengaruh yaitu biaya dengan bobot 26,3 %, tenaga kerja dengan bobot 15,7% serta alat dan bahan dengan bobot 14,1 %. Perubahan desain menyebabkan pembengkakan biaya pembangunan, sehingga kontraktor perlu melakukan penambahan tenaga kerja untuk menyesuaikan kebutuhan pembangunan, dan berdampak kepada penambahan kebutuhan alat dan bahan. Untuk itu hal – hal yang dapat dilakukan untuk mencegah keterlambatan adalah stakeholder tidak melakukan perubahan desain dalam kapasitas besar saat proyek berlangsung, melakukan penambahan tenaga kerja dan penambahan jam kerja.
Analisis Tingkat Kebisingan Lalu Lintas Berdasarkan Variasi Guna Lahan (Studi Kasus : Jalan AH Nasution Kota Metro)
Authors: Dewi Putri Ma'rifah Dewi , Leo Bambang Budi Prasetyo  , Henry Armijaya
Published: June 2024

Pada ruas Jalan AH Nasution adalah kawasan yang diperuntukkan sebagai kawasan perdagangan, perkantoran, ruang terbuka hijau, pemerintahan, perkantoran, dan sekolah. Dengan adanya jalur lalulintas yang cukup padat ini perlu dilakukan pemantauan kebisingan. Penelitian ini bertujuan untuk mengetahui hasil analisa tingkat kebisingan berdasarkan karakteristik tata guna lahan untuk Kawasan perkantoran, perdagangan, ruang terbuka hijau, pemerintah dan sekolah berdasarkan Keputusan Menteri Lingkungan Hidup No. 48 Tahun 1996. Hasil penelitian menunjukan bahwa nilai tingkat kebisingan kawasan ruang terbuka hijau Leqday = 61,32 dB, kawasn perkantoran Leqday = 67,34 dB, kawasan pemerintahan Leqday = 66,52 dB, kawasan perdagangan Leqday = 67,20 dB dan lingkungan sekolah Leqday = 62,31 dB. Dimana pada kawasan ruang terbuka hijau, perkantoran dan lingkungan sekolah telah melebihi baku mutu kebisingan dan pada kawasan perdagangan serta kawasan pemerintahan belum melebihi baku mutu kebisingan berdasarkan KepMen LH No. 48 Tahun 1996. Hasil prediksi tingkat kebisingan menggunakan metode CoRTN pada setiap kawasan berkisar 0,19 – 7,2 dimana hal ini berarti nilai prediksi kebisingan menggunakan model CoRTN hasilnya valid. Korelasi volume kendaraan dan kecepatan kendaraan pada kawasan ruang terbuka hijau berpengaruh cukup signifikan terhadap tingkat kebisingan yang dihasilkan. Persamaan regresinya adalah y = 0,0158 + 0,4906 + 36,7983 dan nilai R2 = 0,4678 (korelasi sedang).
Analisis Perbandingan Daya Dukung dan Penurunan Pondasi Tiang Bor Dengan Perhitungan Manual dan Software ALLPILE
Authors: Pribadi Gali , Yonas Prima Arga Rumbyarso
Published: June 2024

Salah satu bagian penting dalam sebuah perencanaan gedung adalah perencanaan pondasi. Pondasi inilah yang akan menopang dan menahan suatu beban yang bekerja di atasnya. Perencanaan pondasi dikatakan benar apabila beban yang diteruskan pondasi ke tanah tidak melampaui kekuatan tanah yang bersangkutan. Pemilihan pondasi bored pile dikarenakan kondisi lingkungan sekitar proyek yang dikelilingi rumah-rumah warga. Penelitian ini bertujuan untuk menganalisis nilai daya dukung bored pile dan dapat menganalisis penurunan bored pile. Data umum diperoleh dari hasil peninjauan dan pengamatan langsung di lokasi rencana pembangunan. Data sekunder didapatkan dari kontraktor atau konsultan perencana serta literatur-literatur yang berlaku. Metode analisis yang digunakan dalam penelitian ini adalah dengan menggunakan program komputer ALLPILE dan metode perhitungan manual untuk menghitung daya dukung, dan penurunan pondasi yang ditunjang dengan berbagai literatur dan data geoteknik yang didapat. Daya dukung tiang bored pile 12098.31 KN, penurunan tiang tunggal loading test 1,88 cm, metode Allpile 2,00 cm.
Explorando la transdisciplinariedad en el Banquete_nodos y redes: un estudio cualitativo del proyecto de Karin Ohlenschläger para la formación en magisterio
Authors: Murillo-Ligorred Víctor , Ramos-Vallecillo Nora , Enfedaque-Sancho María
Published: June 2024

El presente artículo aborda una investigación cualitativa sobre las obras presentadas en el proyecto Banquete_nodos y redes, dirigido por Karin Ohlenschläger, con el objetivo de explorar la superación de fronteras en el contexto de la transdisciplinariedad. Se establece un marco teórico que examina este concepto y traza una genealogía de los centros más relevantes en transdisciplinariedad y medialabs, con un enfoque especial en tres centros españoles con los que Ohlenschläger estuvo estrechamente relacionada. Se proporciona una descripción detallada de Banquete_nodos y redes, incluyendo sus obras y artistas participantes. A continuación, se presenta una tabla que categoriza todos los datos recopilados utilizando el sistema de categorización elegido en la metodología empleada. Los resultados obtenidos se discuten en torno a cuatro temas específicos: Educación, Arte, Política y Nuevas Tecnologías. Finalmente, se extraen conclusiones que resaltan el valor interdisciplinario como impulsor de la transformación social, subrayando la importancia de aprovechar las nuevas tecnologías en un enfoque no lineal del conocimiento y su globalización, en contraposición a una concepción clásica que lo fragmenta.
La percepción sobre la reciprocidad en la cooperación internacional al desarrollo: claves y aportes desde la cooperación vasca
Authors: Aranburuzabala Cabieces Miguel
Published: June 2024

La Ley 1/2023, de 20 de febrero, señala que el “proceso (de globalización) desdibuja la tradicional divisoria entre Norte-Sur y donante-receptor”. Este texto legal mantiene, en cambio, las categorías que estructuran las políticas de cooperación en las últimas décadas, como “país en desarrollo” o “países destinatarios”. Repensando estas categorías, este artículo analiza la idea de reciprocidad y recoge distintas percepciones de los agentes de la cooperación vasca sobre este tema, en la búsqueda de respuestas a la pregunta: ¿por qué la reciprocidad no es un elemento característico de la cooperación internacional al desarrollo?
Hacia un enfoque de ciudades inteligentes inclusivas: la accesibilidad web de los principales ayuntamientos de España
Authors: Martín-Herrero José Manuel , Padilla Castillo Graciela
Published: June 2024

Las personas con discapacidad, pese a la evolución de las Tecnologías de la Información y la Comunicación, continúan encontrando barreras para acceder al contenido digital. Esta investigación parte de la hipótesis de que los ayuntamientos españoles no han implementado completamente la accesibilidad web, pese a ser un mandato legal. Además de profundizar en las principales aportaciones sobre discapacidad, accesibilidad web y los principios de las smart cities, se examinan las webs de los 52 ayuntamientos más importantes España. Aunque la mayoría cumple con lo establecido, solo tres cuentan con certificaciones externas de terceros: Valladolid, Madrid y Bilbao.
ՄՈՐԵՆՈՒ ՎՆԱՍԱՏՈՒՆԵՐԻ ՏԵՍԱԿԱՅԻՆ ԿԱԶՄԻ ՈՒՍՈՒՄՆԱՍԻՐՈՒԹՅՈՒՆԸ ԻՋԵՎԱՆ ՀԱՄԱՅՆՔԻ ՊԱՅՄԱՆՆԵՐՈՒՄ
Authors: Ter-Grigoryan A.J. , Manvelyan A.A. , Ghazaryan M.H. , Amiryan K.R.
Published: June 2024

There are many berries grown in Armenia, but raspberries are among the most popular. Several pests, the species composition of which has not yet been determined, hinder the achievement of a high-quality harvest. Raspberry (Rubus idaeus) pest species composition was monitored in Tavush marz (Ijevan community) in 2022-2023. Our research has identified and registered seventeen types of pests, of which two belong to the Acarina order of the Arachnoidae class and fourteen to the following orders of the Insecta class: Thysanoptera, Homoptera, Orthoptera, Coleoptera, Diptera, Lepidoptera, Heteroptera, one in the Gastropoda order of Mollusca class. The detected pests were: Tetranychus urticae (Koch, 1836), Eriophyes gracilis (Nalepa, 1891), Thrips tabaci (Lindeman, 1899), Aphis grossulariae (Kaltenbach, 1843), Myzus persicae (Sulzer), Stictocephala bubalus (Kopp and Yonke, 1977), Gryllotalpa gryllotalpa (Linnaeus,
1758), Tettigonia viridissima (Linnaeus, 1758), Byturus tomentosus (De Geer, 1774), Anthonomus rubi (Herbst, 1795), Melolontha hippocastani (Fabricius, 1801), Polyphylla olivieri (Castelnau, 1840), Resselie llatheobaldi (Barnes), Lasioptera rubi (Schrank, 1803), Pennisetia hylaeiformis (Laspeyres, 1801), Dolycoris baccarum (Linnaeus, 1758), and Deroceras agreste (Linnaeus, 1758). Nevertheless, the most spread species were Resselie llatheobaldi (Barnes), Lasioptera rubi (Schrank, 1803), Anthonomus rubi (Herbst, 1795), and Byturus tomentosus (De Geer, 1774).
Effectiveness of a psychoeducational group intervention to reduce public institution call center employee burnout: A pilot study
Authors: Uysal Burcu , Özkul Seyhan , Bayraktar Ayşenur
Published: June 2024

This quasi-experimental study examines the effectiveness of a psychoeducational group intervention program consisting of psychoeducation sessions and group exercises based on psychodrama warm-up activities resulting from the needs of public sector call center agents in the workplace. Forty municipality call center employees from two municipalities (intervention and control groups) completed pre- and post-test measures before and after the intervention program. A follow-up session for the intervention group took place one month after the completion of the intervention sessions. The intervention group showed significant pre-to-post-test short-term effects such as reduced depersonalization, increased mental well-being, psychological resilience, personal accomplishment, group atmosphere, and group cohesion. On the other hand, no significant difference was noted in the control group from pre- to post-test, except for the decrease in the group atmosphere scores. Group atmosphere and group cohesion scores remained significantly increased after one-month follow-up measures compared to the pre-test in the intervention group.
PENDAMPINGAN PENGEMBANGAN BAHAN AJAR MATEMATIKA UNTUK SEKOLAH DASAR SE-DABIN II KORWIL BIDIK KECAMATAN BLORA KABUPATEN BLORA
Authors: Mariyani Anna , Setiaji Soma , Uktiat Saskila Sabiatus , Yani
Published: June 2024

Permasalahan guru sekolah dasar pada daerah binaan II koordinator wilayah Kecamatan Blora Kabupaten Blora adalah minimnya bahan ajar yang dikembangkan oleh guru untuk siswa dalam membelajarkan matematika di kelas. Adanya program pendampingan ini bertujuan untuk memberikan pengetahuan guru tentang pengembangan bahan ajar matematika dan memberikan contoh tentang kreativitas guru tentang pengembangan bahan ajar matematika. Daerah binaan II ini membawahi 12 sekolah yaitu SD Islam Baitunnur, SDN 1 Kunden, SDN 2 Kunden, SDN 1 Jetis, SDN 2 Jetis, SDN Tambahrejo, SDN Kedungjenar, SDN 1 Beran, SDN 2 Beran, SDN 1 Kamolan, SDN 2 Kamolan, SDN 3 Kamolan. Dabin II ini terletak di Kecamatan Blora Kabupaten Blora. Pada program ini terdapat 60 peserta yang terdiri dari 30 guru kelas rendah dan 30 guru kelas tinggi. Kegiatan ini dilaksanakan di SDN 1 Kunden yang terletak di Kecamatan Blora Kabupaten Blora. Metode pada program pengabdian ini adalah ceramah yang dilakukan secara luring dua arah. Hasil pada program pengabdian ini adalah pendampinngan pelatihan bahan ajar ini sangat efektif untuk memberikan pengetahuan guru di Daerah binaan II Korwil Bidik Kecamatan Blora tentang pengembangan bahan ajar matematika dan memberikan contoh dan pengetahuan tentang kreativitas guru di Daerah binaan II Korwil Bidik Kecamatan Blora tentang pengembangan bahan ajar matematika.
Determining the Effect of the Social Relations of People with Substance Use Disorder on the Treatment Process
Authors: Oral Tuğçe , Ensari Özay Müge
Published: June 2024

The aim of this study is to examine the effect and relationship of people with substance use disorder to struggle with addiction and to be together with their family or social environment during treatment. In the research, common parameters related to family or social environment were determined and statistical data were created by using the qualitative data in the Narcologist report published in Türkiye in 2018-2022. The research findings were created with the participation of people with substance use disorders who applied to the police departments for any reason in Türkiye. According to the results of the research, those who want to get rid of substance addiction were evaluated with different groups. For example: those who want to get rid of substance addiction-those who accept that their social relations have deteriorated, those who want to get rid of substance addiction-who are married, those who work in any job-who accept that their social relations etc. According to the analysis, it has been determined that there is a linear proportion between these groups. In addition, the findings of the study were supported by the literature, emphasizing that health representatives, family members and social environment should be in a holistic approach in the fight against addiction. The contribution of this study is to identify the common points of people with substance addiction and express their opinions, and provide guidance on the current situation and expectations in the fight against addiction. The secondary contribution includes suggestions that will contribute to future research in this field and the development of complementary treatment methods by examining the findings with a theoretical framework.
Development of a Probabilistic Framework for Enhanced Vision Safety in Driver Assistance Systems
Authors: Rajesh D. Thakare
Published: June 2024

Potholes on roads endanger public safety and infrastructure upkeep. This paper discusses the design and implementation of a real-time pothole detection system that employs a GPS module to locate potholes, a Raspberry Pi, an ESP32 microcontroller, a camera for image processing, and a 16x2 LCD to display pothole detection and GPS locations in real-time. To support successful maintenance, the technology tries to identify potholes in real time, precisely measure their dimensions, and document their locations. The proposed system enhances road safety while also lowering maintenance costs by taking a proactive approach to pothole reduction. The proposed system effectively achieves its aims by integrating a variety of hardware components. The GPS module is used to provide exact geolocation, allowing for detailed mapping of pothole sites and focused maintenance activities. A Raspberry Pi serves as the central processing unit, coordinating data collecting, analysis, and communication operations. An ESP32 microcontroller improves system performance by managing low-level hardware interfaces and real-time processes, allowing for a quick response to pothole detection. A camera built inside the device takes photographs of road surfaces, which are then examined using sophisticated image processing algorithms to properly identify and characterize potholes.
Optimal Strategy Formulation for Tic-Tac-Toe Using Minimax Algorithm for Interactive Gaming
Authors: Megha Chakole
Published: June 2024

Introduction: This research presents a Python implementation of the classic game Tic Tac Toe utilizing the Tkinter library for the graphical user interface (GUI). The code offers a comprehensive framework for creating an interactive gaming experience, featuring both single-player and multiplayer modes. Key functionalities include mode selection, game board initialization, player moves, win and draw condition checks, and game restart options.
The graphical interface provides a visually appealing environment for players to engage with the game, facilitating intuitive interaction through buttons and labels. Notably, the single-player mode incorporates a basic AI component powered by the minimax algorithm, offering players the opportunity to challenge themselves against a computer opponent.
Objectives: The main objectives include developing a comprehensive framework for Tic-Tac-Toe, encompassing essential functionalities such as mode selection, initializing the game board, managing player moves, conducting win/draw condition checks, and offering game restart options.
Methods: The implementation employs Tkinter to create a user-friendly GUI featuring interactive buttons and visual elements. Game logic is meticulously implemented to regulate player turns, validate moves, and assess win/draw conditions. Additionally, the single-player mode integrates a basic AI component driven by the minimax algorithm for a challenging gaming experience.
Results: The resulting implementation boasts a visually appealing interface, complete with dedicated mode selection buttons, interactive game board buttons, thorough win/draw condition checks across rows, columns, and diagonals, and a convenient restart button. The single-player mode successfully emulates human-like gameplay through the AI component.
Conclusions: This implementation's simplicity and clarity render it an invaluable resource for beginners delving into GUI development and game programming with Python. Furthermore, the integration of AI functionality caters to advanced users keen on exploring algorithmic game strategies. Ultimately, this paper offers a valuable foundation for learning and comprehending the fundamentals of game development using Python and Tkinter.
An Analysis of Crop Insurance as an Adaptation Tool of Climate Vulnerability in Cauvery Delta Zone
Authors: D Hebsiba Beula
Published: June 2024

Using the Climate Vulnerability Index (CVI), this study investigates the efficacy of crop insurance as an adaptation strategy for reducing climate vulnerability in the Cauvery Delta Zone. The effects of climate change, such as increased temperatures, changed precipitation patterns, and extreme weather events, are particularly vulnerable to the region's agriculture. In order to create a composite Climate Vulnerability Index (CVI) score, indicators such as Rainfall, Paddy Production, Cultivated Land, and Insured Land are normalised. Our assessment of crop insurance concentrated on how it can improve adaptive capacity by offering monetary protection against crop failures are induced by climate change. The findings demonstrate crop insurance's important role in boosting resilience by showing a considerable reduction in the CVI. In order to reduce climate risks and promote sustainable agriculture in the Cauvery Delta Zone (CDZ), this study emphasises the significance of incorporating crop insurance into more comprehensive adaption measures. A five-year data collection covering the fiscal years 2018–2019 through 2022–2023 was considered for this study from the Government of India's Directorate of Economics & Statistics.
A Realtime Intelligent Energy Management Strategy for Hybrid Electric Vehicle
Authors: M. Sangeetha
Published: June 2024

In response to the growing demand for sustainable transportation, this research proposes a real-time intelligent energy management strategy for hybrid electric vehicles (HEVs) employing reinforcement learning. HEVs inherently possess complex energy distribution systems, necessitating dynamic and adaptive approaches to optimize their performance. The proposed strategy harnesses the capabilities of reinforcement learning algorithms to continuously learn and refine decision-making processes in real-time. By considering diverse factors such as current driving conditions, external influences like traffic patterns and terrain, and overarching energy efficiency objectives, the system adeptly adjusts the power distribution between the internal combustion engine and electric motor. This adaptability ensures optimal fuel efficiency and emissions reduction, contributing to a more sustainable and environmentally friendly driving experience.The significance of this research lies in its contribution to advancing intelligent energy management solutions in the realm of modern transportation. The real-time nature of the proposed strategy represents a substantial leap forward, offering a dynamic and responsive approach to the intricate challenges associated with HEV energy optimization. By leveraging reinforcement learning, the system learns from its interactions with the environment, enabling continual improvement and adaptation to evolving driving conditions. Ultimately, this research not only enhances the overall performance of hybrid electric vehicles but also underscores the potential for intelligent, self-learning systems to play a pivotal role in shaping the future of eco-conscious mobility.
DOI: https://doi.org/10.52783/dxjb.v36.140
Cuando la ley se queda corta: constitucionalismo y “derechos fluviales”
Authors: Macpherson Elizabeth , Borchgrevink Axel , Ranjan Rahul , Vallejo Piedrahíta Catalina
Published: June 2024

Laws that recognise rivers and their ecosystems as legal persons or subjects with their own rights, duties and obligations have been associated with theories of environmental constitutionalism. However, the extent to, and manner in which, constitutional law (with its elevated status) has been instrumental in the conferral of these ‘riverine rights’ is still not well-understood. In this article, we consider the constitutional relevance of the recognition of rivers as legal persons or subjects in Aotearoa New Zealand, Colombia and India. We argue that in these three countries riverine rights are constitutional experiments: as small-scale, ad hoc and ultimately incomplete attempts to transcend seemingly ineffective regulatory frameworks for rivers. However, they are also incremental, and influential, steps in a broader project of more fundamental social and environmental reform.
Are we meeting student needs? Developing a measure for college food pantry satisfaction
Authors: Gardiner Kelsey , Harvey Susan
Published: June 2024

Food insecurity is a growing concern in higher education. As universities adapt to meet the growing need of college students to access adequate amounts of healthy food, food pantries are among the most widely implemented food security supports. However, little has been done to measure whether this resource is meeting the needs of students. This study aims to fill gaps in the existing literature by using a cross-sectional design to develop a novel satisfaction survey and measure overall satisfaction, use of resources, and additional support needs of students utilizing an on-campus food pantry. A convenience sample of 100 student on-campus pantry users participated. The survey consisted of a ten-item, investigator-designed satisfaction scale, which demonstrated a high measure of reliability (Cronbach’s Alpha = .849). Based on a five-point Likert scale (1 = strongly disagree to 5 = strongly agree), overall student satisfaction was high [ = 3.8]. Students reported the highest level of satisfaction with friendliness of staff volunteers [x̅ = 4.55], location of the pantry [x̅ = 4.26], and availability of shelf stable food items [x̅ = 4.11]. Students reported lowest satis­faction with the selection of fresh fruits [x̅ = 3.18] and fresh vegetables [x̅ = 3.21], and the selection of dairy products [x̅ = 3.59]. Most indicated a need for additional support from the pantry site, including school supplies (n = 48), hygiene and toiletry supplies (n = 47), cooking utensils (n = 47), information on other emergency resources (n = 28), financial resources (n = 25), and recipes (n = 25). More research is needed to better under­stand pantry-site satisfaction, identify potential additional desired supports, and the impacts of on-campus food pantries. This study is the first of a multiphase project that will continue to explore on-campus food pantries as an intervention strategy, the student experience of utilizing food pantries, and their potential impact on students.
運用專題導向教學實踐建設開發課程之建築教育探討
Authors: 黃志弘 黃志弘 , 王敬勛 王敬勛
Published: June 2024

從多年建築教學經驗發現建築系學生在大學階段的課程中多聚焦於建築設計、營建技術、環境工學、歷史理論等專業，使畢業前就具有基礎理論的認知與能力。但對實務中的不動產市場、都市更新、產品價值、土地開發財務等，市場經濟議題的專業技術操作應用較為生疏，本課程目的即在強化此一核心職能。
為此目的，本課程教學實踐研究方法，運用專題導向學習(Project Based Learning, PBL)、討論教學法(Discussion Teaching Method, DTM)與協作學習（Collaborative Learning, CL），一學期分為三階段，分別為「購屋理財規劃實務專題」、「土地開發財務計畫實務專題」、「都市更新及危老條例實務分析專題」，研究中導入產業實務案例，加強學生互相討論、交流、辯論及實務現場決策的教學環境，最後再回饋分析。
學習效果評量採用問卷調查法，於Google線上表單製作「畢業學生學習成效回饋調查」匿名問卷，請109至111學年度選修課程之同學填寫問卷，並選擇卡方獨立性檢定(The Chi-Squared Test)進行分析，研究結果顯示教學模式有助於增加學習興趣、專業技能學習效果以及實務操作的應用。Architectural students are relatively unfamiliar with the application of professional skills and practical technical operational abilities on market economic issues, which are the main purpose of this study. Thus, this course employs Project Based Learning (PBL) and Discussion Teaching Method (DTM) and Collaborative Learning (CL), spanning 18 weeks with three hours of instruction per week and structured into three phases. These phases include Project One, ''Practical Case Studies in Home Purchase Financial Planning''; Project Two, ''Practical Case Studies in Land Development Financial Planning''; and Project Three, ''Practical Case Studies in Urban Renewal and Aging Regulations.'' The approach aims to enhance interaction between instructors and students, creating an instructional environment and applying empirical projects, and collaboratively address problems during class. A questionnaire survey was conducted using an anonymous online form created on Google Forms, titled ''Graduate Student Learning Effectiveness Feedback Survey.'' Students who enrolled in the course during the academic years 109 to 111 were invited to participate. The data were analyzed using Chi-Square Test of Independence, revealing that the instructional model contributes to increased interest in learning, improved effectiveness in acquiring professional skills, and enhanced application of practical skills.
Profile of Drug Adherance in Elderly Patients with Oral Antidiabetes And Antihipertensive Therapy Using Pill Count Method
Authors: Mas Ulfa Ninik
Published: June 2024

Medication adherance is a problem by the elderly. This study was conducted to evaluate adherence to taking oral antidiabetic drugs and oral antihypertensive drugs in elderly patients using the pill count method at one of the health centers in South Surabaya. The pill count method in this study was chosen because it can provide an overview of the profile of medication adherence for elderly patients who receive oral antidiabetic and oral antihypertensive drugs by calculating the remaining medication based on the dosage and the rules for taking the drug when the patient returns to control. This study was observational with prospective observations and data were analyzed descriptively. The number of samples in this study were 30 elderly patients. The results obtained were that the most oral antidiabates drugs were given the Sulfonylurea combination Biguanida drug class, namely Glibenclamide 5 mg combination Metformin 500 mg (66.7%), while for oral antidiabates therapy the single administration was the calcium channel blocker is Amlodipine 5 mg (76 %). In the results of medication adherence, it was found that 63.3% of patients adherance to taking oral antidiabetic drugs and not adherance is 36,7%. While 70.0% of patients were adherence to taking oral antihypertension drugs and not adherance is 30%. Patients who consumed 2 drug combinations were 53.3% more adherent than those who consumed 3 to 5 drug combinations of 46.7%.
Utilization of Coffee Dregs (Coffea sp) as Body Scrub Preparations in Tempur Village, Jepara
Authors: Fitriani Puspitasari Dewi , W.S. FX. Sulistiyanto , Indriyanti Erwin , Eka Pratiwi Arik Dian , Ramonah Dewi , Wulandari  , Purwaningsih Yuliana , Barry Anggoro Aloysius , Salsa Dinurrosifa Rahmawati , Elisa Novi
Published: June 2024

Dalam menghadapi era modern yang berkembang pesat saat ini khususnya dalam pemanfaatan kopisebagai komoditas unggulan di desa Tempur Kabupaten Jepara, maka diperlukan suatu inovasi baru yangbertujuan meningkatkan nilai ekonomis dari produk kopi di desa tersebut. Selama ini, pemanfaatan kopi hanyasebagai produk minuman sehingga harus memiliki inovasi untuk mampu bersaing dengan produk dari tempat lain.Salah satu usaha untuk meningkatkkan nilai tambah produk kopi adalah memanfaatkan ampas kopi hasil seduhanuntuk dijadikan produk body scrub. Kopi banyak mengandung antioksidan sehingga baik untuk kesehatan kulit,begitu juga dengan sediaan body scrub yang mampu membantu menghaluskan serta mengangkat sel kulit matipada tubuh. Metode yang digunakan pada pelaksanaan kegiatan pengabdian masyarakat adalah metode surveilapangan, pelatihan, praktek, diskusi serta tanya jawab dengan sasaran warga desa khususnya ibu rumah tangga,para pemuda dan perangkat Desa Tempur yang ingin memaksimalkan potensi yang ada dengan cara membuatinovasi body scrub dari ampas kopi. Dengan diadakannya kegiatan pengabdian masyrakat melalui pelatihandalam membuat sediaan body scrub ampas kopi maka dapat menambah wawasan dan keterampilan warga desadalam mengolah produk kopi dalam bidang kosmetik sehingga diharapkan dapat memberikan nilai tambah yangberdaya saing tinggi, penghasilan bagi masyarakat dan meningkatkan ekonomi warga.
Review of the scientific literature to analyse the cariogenic potential of the diet of military personnel on active duty
Authors: Vovc Maria Mihaela , Zagnat Dan , Vasiliu Valeria , Baciu Dragoș , Bordeniuc Gheorghe , Fala Valeriu
Published: June 2024

Introduction. In 2021 the World Health Organization adopted a resolution on oral health in response to the high prevalence of oral diseases globally. It is estimated that 3.5 billion people suffering from oral diseases, the most common being dental caries and periodontal diseases. It requires UN member states to take action to mitigate the risk factors for oral diseases. While in the general population the concern of the scientific community is reflected in an increased availability of oral health data, in the military the number of scientific studies is limited. Oral health is considered to be an important component of general health, with an impact on the ability of personnel to perform their duties properly. Dietary patterns that increase the risk of dental caries include consistent and long-term consumption of foods containing sugars, sticky foods, and sugary drinks. The literature review revealed that there is no data available regarding oral health status of active military personnel in the Republic of Moldova. Objective of the study. Analysis of available scientific literature to determine the influence of diet with cariogenic potential on oral health of military personnel. Materials and methods. Data was collected using search terms (MESH) about the cariogenic potential of diet in military personnel – Pubmed, MEDLINE. Results. A review of the scientific literature found an increased prevalence of dental caries in military personnel who consistently consumed high carbohydrate products. According to the study proposed by Tudoronion et al on 2020 high carbohydrate diet resulted in a higher percentage of subjects diagnosed with dental caries 70.9%, compared to those who did not show clinical signs of dental caries 29.1% . Conclusion and mitigation strategies. Different studies showed that an increase in the percentage of carbohydrate consumption relative to the total daily energy increases the prevalence of dental caries, which is consistent with the results of many previous studies. The WHO has recommended < 10% consumption of sugars to prevent dental caries. In contrast to many other studies indicating the anti-caries properties of fruits, increasing fruit consumption during the day increased susceptibility to caries.
Cosmology In Ramayana
Authors: kashyap Kishor Kunal , Prasad Prof(Dr.) Saloni
Published: June 2024

This analysis delves into the profound cosmological elements embedded within the revered Hindu marvel, the Ramayana, from the vantage point of Hindu studies. In it, the astronomical bodies mentioned in the Ramayana—Surya, the Sun, Chandra, the Moon, Mangala, Mars, and Brihaspati, Jupiter—are examined in great detail, and their symbolic significance within the story's expansive framework is explained. The Hindu universe views these celestial bodies as more than simply physical entities; they are representations of the highest ideals, answering universal prayers and enacting eternal dharma. Insights into ancient Indian understanding of the universe's structure and elements are provided by this study's comprehensive analysis of the Ramayana's cosmological themes, which provide light on the complex interplay between the microcosm and macrocosm. Ramayana serves as a repository of profound learning that transcends the bounds of existence with its mesmerising portrayal of celestial quirks and sublime events. Beyond that, this analysis is in favour of a multidisciplinary strategy that combines Hindu philosophy with rational inquiry. A deeper appreciation for the intricate weaving of Hindu cosmology can be fostered by integrating traditional knowledge with modern logical inquiry in an effort to bridge the gap between folklore and experimental data. Our comprehension of the Ramayana is enhanced by this endeavour, and a more thorough discussion on the intersection of religion, science, and the supernatural is energised. The study concludes that the Ramayana continues to be relevant today as a source of great wisdom and moral guidance. Its ostensible purpose is to lead readers on a journey of discovery as they delve into the sacred texts' venerated eternal truths.
In-silico evaluation of bioactive compounds from natural sources targeting NIK and NF-κB pathways for chronic prostatitis therapy and ADMET profile analysis
Authors: Bhushan Vinayak , Sindhu Rakesh K
Published: June 2024

Inflammation, cancer and a variety of human disorders are connected with NF-ΚB and NF-κB -­­­­­inducing kinase light-chain-enhancer of activated b cells increased expression in the biological framework. The NF-κB and NIK cascades vital components may control the relocation as well as stimulation of the NF-κB transcription factor along with NIK. The current work focuses on active site ­­­­­­­­analysis as well as molecular docking investigations of NF-κB and NIK pathway key components. The natural chemicals employed as ligands in this docking investigation are Guggulsterone Z and Withaferin A. The present study focused on comparative docking studies on drug target proteins using separate ligands. The current study shed information on the binding capacities and interactions of components found in the oleoresin of Ashwagandha and Guggul plants with the active sites of NFkB and NIK. The molecular docking studies predicted an improved interaction between NFkB NIK, and the bioactive content of Ashwagandha (Withaferin A) and Guggul (Guggulsterone Z (GZ)) with binding energies of -7.5, -8.8, -7.1, and -8.2 kcal/mol, confirming the coexistence of both ligands at different binding sites of the metabolising enzymes. Furthermore, the ADMET and drug-likeness ratings were shown to be beneath the normal range for water solubility, Caco-2 permeation, human intestinal absorption (HIA), and blood-brain barrier (Absorption) and exhibited negative cancer-causing consequences.