bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adsorption-Assisted Photocatalytic Degradation of Anionic Direct Yellow-50 and Cationic Methylene Blue Dyes by Chemically Synthesized Poly(1,5-diaminoanthraquinone)
Authors: AKILLI ALEYNA , ÖZLER AYŞENUR , TAYMAZ BİRCAN HASPULAT , HANCI AHMET , ESKİZEYBEK VOLKAN , KAMIŞ HANDAN 
Published: December 2024

Abstract

The conductive polymer poly(1,5 diaminoanthraquinone) (PDAAQ) has been synthesized by chemical oxidative polymerization using ammonium peroxydisulfate (APS) as an oxidant and perchloric acid (HClO4) as an initiator in the presence of acetonitrile (ACN) polymerization medium. The characterization of PDAAQ was completed via X-Ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), UV-visible absorbance spectroscopy (UV-vis), scanning electron microscopy (SEM), energy dispersion spectroscopy (EDX), Brunauer–Emmett–Teller analysis (BET) and four-point probe electrical conductivity measurements. PDAAQ with a band gap of 1.28 eV and an electrical conductivity of 1.23 S/cm was successfully synthesized. The adsorption-assisted photocatalytic performance of PDAAQ has been investigated in cationic methylene blue (MB), and an anionic direct yellow (DY) dye under the visible irradiation. For both MB and DY dyes, the reactions were determined to be pseudo-first order equations for the adsorption-assisted photocatalytic process. The effect of polymerization medium, oxidant type, polymerization time and monomer oxidant ratio on adsorption assisted photocatalytic degradation of MB was investigated. The synthesized PDAAQ polymer has excellent photocatalytic performance as a photocatalyst for degradation of MB and DY. 10 µM MB and DY dyes were completely degraded in only 6 and 8 min under visible light illumination using PDAAQ polymer by adsorption-assisted photocatalysis mechanism. Also, the photocatalytic dye degradation performance of PDAAQ was investigated for degradation of synthetic wastewater (SWW) under visible light. PDAAQ polymer can be used as an effective photocatalyst in photocatalytic applications due to its superior and promising performance for the degradation of model dyes and synthetic wastewater.
Aloe Vera Extract-Assisted Hydrothermal Synthesis of CuO Nanoparticles for Photocatalytic Degradation of Methylene Blue Dye
Authors: AKILLI ALEYNA , ÖZLER AYŞENUR , Yaman Rıza Turgut , Taymaz Bircan Haspulat , KAMIŞ HANDAN 
Published: December 2024

Abstract

Different plant extract-assisted hydrothermal synthesis offers an eco-friendly alternative to traditional approaches for sustainable technological production. Our research explores this environmentally beneficial terrain by presenting copper oxide nanoparticles (CuO NPs) created from Aloe Vera extract. This study contributes to the economical and environmentally friendly green synthesis of CuO NPs by thoroughly investigating synthesis parameters and operating parameters. Using methylene blue (MB) as a model dye, the photocatalytic characteristics of the resulting nanoparticles were examined. The synthesis factors influencing photocatalytic activity efficiency were examined, and the best circumstances were established. When the CuO photocatalyst developed under optimal conditions was used, the degradation efficiency of MB dye was 18.39%, 98.53%, and 83.46% for dark, UV, and visible light, respectively for 90 min reaction time. The influence of catalyst quantity, dye concentration, and reusability on operational parameters was then investigated. This environmentally friendly synthesis process is affordable and simple to utilize for commercial production of CuO NP on a large scale for applications connected to health.
Case Report: Autoimmune Hemolytic Anemia
Authors: Kapshikar Rajvardhan 
Published: December 2024

Abstract

AIHA, or autoimmune hemolytic anemia, is rare and causes premature destruction of red blood cells associated with anti-erythrocyte antibodies (1). Muscle pain and exhaustion are typical signs of vitamin B12 insufficiency. While performing a complete blood count (CBC) on an automated machine is a standard procedure, smear analysis is more useful in determining the cause of medical disorders and should not be disregarded. According to the result of this study, neutrophils participate in AIHA together with other leucocytes, such as monocytes and eosinophils. If a person is currently receiving vitamin treatment for anemia, the automated CBC alone may be misleading, and blood smear analysis provides a better understanding of AIHA cases. The patient can benefit from multivitamin supplementation; folic acid, ascorbic acid, B12, zinc, and iron supplements should be continued as dietary supplements.
Research on electronic information transmission of agricultural irrigation based on Internet of Things
Authors: Gao Shuting , Li Wenya 
Published: December 2024

ABSTRACT
The goal of this project is to improve agricultural irrigation efficiency and sustainability through the development and deployment of an IoT-based system. The method allows for low-energy, long-range (LR) communication over vast agricultural fields by combining solar-powered ESP32 microcontrollers with LR data transmission technologies. Soil moisture, pH, temperature, and humidity sensors are essential, as is a photoreceptor (PIR) sensor for intrusion detection. We can remotely monitor and precisely regulate irrigation using our mobile applications since the technology transmits data in real-time to a cloud server. Farmers in outlying locations without reliable electricity or internet can greatly benefit from the system's shown capacity to optimise water consumption, decrease operating costs, and increase crop yields, according to field testing. Alternative irrigation systems have their limitations, but the combination of renewable energy and cutting-edge Internet of Things technology holds great promise for agrarian reform and resource preservation.
Effectiveness of home water treatment for the control of diarrhea in children under five years: an intervention study in a rural health zone of Tshopo in the Democratic Republic of Congo
Authors: Eugène Basandja Longembe , Jean Panda Lukongo Kitronza , Joris Losimba Likwela 
Published: December 2024

ABSTRACT
Villages that were once certified as ‘sanitized’ have lost their status and now have high rates of diarrheal diseases. The goal of this study was to evaluate the effectiveness of water treatment and safe management in reducing diarrheal diseases in children aged 0–59 months. An intervention study with non-randomized allocation of subjects was conducted from 1 September 2023 to 29 February 2024 in two villages in Tshopo province. The control village was the one selected in the similar context in terms of water supply, hygiene and sanitation. The incidence of diarrhea was calculated in each village per 100 person-weeks. Systematic water treatment combined with hygienic storage and reduction of storage time to 24 h reduced the prevalence of diarrhea from 49.6 to 9% in children aged 0–59 months. Village category (IRR = 1.89, 95% CI: 1.8–1.98), education level (IRR = 1.101, 95% CI: 1.05–1.5), marital status of household head (IRR = 1.13, 95% CI: 1.02–1.24) and household size (IRR = 1.08, 95% CI: 1.07–1.08) were associated with diarrhea. Water treatment and safe management are effective measures to reduce diarrheal morbidity and should be recommended in the context of poor household access to improved water sources.
GLOF in the South Lhonak Lake, India: photogrammetric analysis and estimation
Authors: Shashivardhan Reddy P. , Suresh Babu A. V. , Sai Bhagheerath Y. V. , Devaraj R. , Durga Rao K. H. V. , Sreenivas K. 
Published: December 2024

ABSTRACT
Understanding glaciers and glacial lake behaviors is crucial for assessing natural disasters; however, quantifying these changes remains challenging due to inaccessibility. Glacier melt and landslides can expand lakes, leading to catastrophic flooding. Accurate flood surge estimations and impact assessments depend on continuous monitoring and detailed analysis of terrain changes, typically using digital elevation models (DEMs) derived before and after glacial lake outburst flood (GLOF) events. Traditional empirical methods lack precision, especially in remote areas. During the recent GLOF at the South Lhonak Lake in India, triggered by landslide debris and water surge, significant downstream damage emphasized the need for precise analysis. This study developed an innovative photogrammetric methodology to create DEMs for pre- and post-GLOF events, offering a detailed understanding of terrain changes. Unlike conventional methods using stereo images from a same sensor, this approach utilized a novel single-image photogrammetry technique with stereo images from multiple satellite sensors. This method estimated that 11.50 million cubic meters (MCM) of debris entered the lake, reducing water volume by 43.21 MCM, with a total surge of 54.71 MCM. The study demonstrates the effectiveness of advanced photogrammetry in achieving accurate volumetric estimates, setting a new standard for assessing and mitigating GLOF impacts.
Inhibition of Circ0001679 Alleviates Ischemia/Reperfusion-induced Brain
Injury via miR-216/TLR4 Regulatory Axis
Authors: Zhang Chenrui , Li Liaoyu , Wang Feng , Du Hailong , Wang Xiaoliang , Gu Xiaoyu , Liu Xinlei , Han Haie , Wu Jianliang , Sun Jianping 
Published: December 2024

Background:
Stroke, primarily known as ischemic stroke, is a leading cause of mortality
and disability worldwide. Reperfusion after the ischemia stroke resolves is necessary for
maintaining the health of brain tissues; however, it also induces inflammation and oxidative
stress, resulting in brain injury. This study aimed to investigate the role of circ0001679 in the
pathology of I/R (Ischemia/Reperfusion)-induced brain injury and explore its therapeutic potential
for I/R injury.

Methods:
The Oxygen-Glucose Deprivation/Re-oxygenation (OGD/R) model was employed
in primary mouse astrocytes, and the Middle Cerebral Artery Occlusion (MCAO) model was
established in mice to mimic ischemia-reperfusion-induced injury. Si-circ0001679, anti-miR-
216, and TLR4 ORF-clone were transfected either in cells or mice to study the molecular mechanisms
during I/R-induced injury. Inflammation and oxidative stress were monitored after treatment.

Results:
Upregulated gene expression of circ0001679 was noticed in both OGD/R-treated primary
mouse astrocytes and MCAO-induced mouse brain tissue. Silencing circ0001679 reduced
cellular damage, inflammation, and oxidative stress induced by OGD/R treatment. Knocking
down of circ0001679 alone with either miR-216 inhibition or TLR4 overexpression increased
the inflammation response and oxidative stress compared to circ0001679 silencing only. Moreover,
inhibition of circ0001679 attenuated brain injury in MCAO-treated mice via reduced infarction,
neuronal damage, apoptosis, inflammation, and oxidative stress.

Conclusion:
This study unveiled a novel regulatory axis of circ0001679-miR-216-TLR4 in I/Rinduced
brain injury. Targeting circ0001679 may represent a promising therapeutic strategy for
I/R-induced brain injury.
Exploring the Therapeutic Potential of 8-Prenyldaidzein: A Comprehensive Study of its Multi-Target Efficacy in Alzheimer's Disease
Authors: Bhattacharya Kunal , Sungoh Dalakamon , Kharmujai Daphilari , Islam Ashraful , Das Dibyajyoti , Jha Saurav Kumar , Chanu Nongmaithem Randhoni , Kashyap Bhaswati , Bora Nilutpal Sharma , Sahariah Bhargab Jyoti , Deka Satyendra , Khanal Pukar 
Published: December 2024

Background:
Alzheimer's disease (AD) is marked by cognitive decline, amyloid
plaques, neurofibrillary tangles, and cholinergic loss. Due to the limited success of amyloid-targeted
therapies, attention has shifted to new non-amyloid targets like phosphodiesterases (PDE). This
study investigates the potential of Flemingia vestita (FV) phytomolecules and derivatives, particularly
8-Prenyldaidzein, in AD treatment.

Materials and Methods:
Phytocompounds and derivatives were screened for drug-likeness, toxicity,
BBB permeability, and ADME profiles. Molecular docking was conducted with PDE5A,
BACE-1, and AChE, followed by molecular dynamics (MD) simulations on the best binding complexes.

Results:
8-Prenyldaidzein, a derivative of daidzein, demonstrated favorable drug-likeness and
ADME properties. It exhibited strong binding to PDE5A, BACE-1, and AChE, with MD simulations
confirming stable protein-ligand interactions.

Discussion:
The multi-target potential of 8-Prenyldaidzein, particularly through non-amyloid pathways,
offers a promising approach to AD therapy. Its inhibition of PDE5A, BACE-1, and AChE
could address multiple aspects of AD pathology.

Conclusion:
8-Prenyldaidzein shows strong potential as a multi-target inhibitor for AD treatment.
While in-silico findings are promising, further experimental validation is needed to confirm its
clinical applicability.
Exploring the Applications of Explainability in Wearable Data Analytics: Systematic Literature Review
Authors: Abdelaal Yasmin , Aupetit Michaël , Baggag Abdelkader , Al-Thani Dena 
Published: December 2024

Background
Wearable technologies have become increasingly prominent in health care. However, intricate machine learning and deep learning algorithms often lead to the development of “black box” models, which lack transparency and comprehensibility for medical professionals and end users. In this context, the integration of explainable artificial intelligence (XAI) has emerged as a crucial solution. By providing insights into the inner workings of complex algorithms, XAI aims to foster trust and empower stakeholders to use wearable technologies responsibly.

Objective
This paper aims to review the recent literature and explore the application of explainability in wearables. By examining how XAI can enhance the interpretability of generated data and models, this review sought to shed light on the possibilities that arise at the intersection of wearable technologies and XAI.

Methods
We collected publications from ACM Digital Library, IEEE Xplore, PubMed, SpringerLink, JMIR, Nature, and Scopus. The eligible studies included technology-based research involving wearable devices, sensors, or mobile phones focused on explainability, machine learning, or deep learning and that used quantified self data in medical contexts. Only peer-reviewed articles, proceedings, or book chapters published in English between 2018 and 2022 were considered. We excluded duplicates, reviews, books, workshops, courses, tutorials, and talks. We analyzed 25 research papers to gain insights into the current state of explainability in wearables in the health care context.

Results
Our findings revealed that wrist-worn wearables such as Fitbit and Empatica E4 are prevalent in health care applications. However, more emphasis must be placed on making the data generated by these devices explainable. Among various explainability methods, post hoc approaches stand out, with Shapley Additive Explanations as a prominent choice due to its adaptability. The outputs of explainability methods are commonly presented visually, often in the form of graphs or user-friendly reports. Nevertheless, our review highlights a limitation in user evaluation and underscores the importance of involving users in the development process.

Conclusions
The integration of XAI into wearable health care technologies is crucial to address the issue of black box models. While wrist-worn wearables are widespread, there is a notable gap in making the data they generate explainable. Post hoc methods such as Shapley Additive Explanations have gained traction for their adaptability in explaining complex algorithms visually. However, user evaluation remains an area in which improvement is needed, and involving users in the development process can contribute to more transparent and reliable artificial intelligence models in health care applications. Further research in this area is essential to enhance the transparency and trustworthiness of artificial intelligence models used in wearable health care technology.
An Update on the Fall Armyworm: Severity of Maize Damage and Susceptibility to Emamectine Benzoate and Chlorantraniliprole
Authors: Trisyono Y. Andi , Hendrayanti Hadvina Nur , Yuantomoputro Arzaq P. , Setyaningrum Ary V. , Harjanto Sriyanto , Aryuwandari Valentina E. F. 
Published: December 2024

The damage area due to fall armyworm (FAW, Spodoptera frugiperda) in Indonesia decreased during the last three years (2021-2023) after the first outbreak in 2019. This insect continues to pose some risk for maize production with most reports documented the damage during the vegetative maize stage showing leave defoliation. This article provides an update on the high field population and the new type of damages caused by FAW by boring the stalks and feeding the cobs observed in the District of Grobogan, Central Java. The populations of egg masses, adults, and larvae were 0.4, 0.17, and 0.37 per plant of 27-day-old, respectively. The reproductive maize was heavily damaged by FAW with leave damage score of 9, 0.33 holes per stalk, and 75% of cobs damaged. The FAW larvae produced from the collected egg masses were still susceptible to emamectin benzoate and chlorantraniliprole. These findings prove that FAW can cause very serious damage leading to almost total yield loss. As maize becomes more important in Indonesia, proper management in compliance with the Integrated Pest Management (IPM) principles is mandatory to keep the population low and prevent large-scale outbreaks.
Sistem Timbangan Digital Menggunakan HMI Weintek Berbasis Outseal PLC
Authors: Risfendra Risfendra , Putra Reka Elsa , Pulungan Ali Basrah , Taali Taali , Setyawan Herlin 
Published: December 2024

Penelitian ini bertujuan untuk memudahkan dalam penimbangan sebuah objek dengan tampilan data digital menggunakan outseal PLC sebagai pusat kontrol. Penimbangan yang dilakukan dengan konvensional memerlukan pembacaan hasil yang berulang sehingga membutuhkan waktu lama dan hasil yang bervariasi disebabkan oleh faktor luar seperti pembacaan yang tidak tepat akibat sudut pandang yang berbeda. Dengan adanya timbang digital akan memudahkan pembacaan nilai dari hasil yang ditimbang. Metode yang digunakan dalam penelitian yaitu metode eksperimen dimana pada penelitian terdiri dari perancangan hardware, elektrikal, dan software. Dalam penelitian, outseal PLC yang berfungsi sebagai pusat kontrol. Input yang digunakan yaitu sensor load cell untuk mendeteksi berat. HMI weintek MT8071iP untuk membaca hasil penimbangan secara digital. Serial komunikasi antara HMI dengan outseal PLC menggunakan serial RS485. Pada penelitian ini dilakukan dua macam pengujian, pertama pengujian penimbangan berat yang berbeda dengan mengukur tegangan output load cell dari setiap massa yang ditimbang. kedua, Pengujian penimbangan dengan berat yang sama sebanyak sepuluh kali percobaan. Objek yang digunakan dalam pengujian timbangan digital ini yaitu granule cat litter yang diletakan dalam sebuah wadah. Dari pengujian pertama didapatkan hasil grafik perbandingan antara tegangan keluaran load cell dengan nilai berat yang ditimbang. Pada pengujian, didapatkan hasil pengukuran yang memiliki akurasi yang tinggi dan kesalahan yang rendah. Pada pengujian dari hasil penimbangan dengan berat yang sama sebanyak sepuluh kali percobaan didapatkan error rata rata 0.04% dan tingkat akurasi 99.96%.
Rancang Bangun Sistem Monitoring Ketinggian Air Berbasis Internet of Things (IoT)
Authors: Uswelly Herma Robbil , Pulungan Ali Basrah , Sukardi Sukardi , Candra Oriza 
Published: December 2024

Musibah banjir sering terjadi di Indonesia sering kali memakan korban jiwa dan kerugian materil terutama untuk daerah pemukiman yang berada di sekitar aliran sungai dikarenakan tidak adanya peringatan dini dan informasi yang diberikan. Tujuan penelitian pada tugas akhir ini untuk membuat sebuah alat rancang bangun sistem monitoring ketinggian air sungai berbasis internet of things(IoT) dimana penduduk sekitar sungai dapat mengetahui kondisi ketinggian air sungai dan mempersiapkan diri sebelum terjadi banjir. Metode pada perancangan alat meliputi pada diagram blok, flowchart, kemudian perancangan mekanik, dan perancangan software, pada perancangan mekanik dibuat sebuah miniatur sungai serta untuk perancangan software digunakan aplikasi arduino IDE untuk membangun sebuah program, sebagai pusat data dan kontrol mengunakan Arduino Uno serta GSM SIM800L sebagai penghubung ke internet. Dari hasil pengujian dapat disimpulkan bahwa pada saat supply di hidupkan sensor ultrasonik akan membaca ketinggian air, maka Arduino UNO akan mengirim informasi ketinggian air sungai pada aplikasi Blynk dalam bentuk realtime, Serta akan mengirim status ketinggian air sungai siaga 1 jika ketinggian air mencapai 13 cm, siaga 2 jika ketinggian air mencapai 14 cm dan siaga 3 jika ketinggian air mencapai 17 cm pada aplikasi blynk dalam bentuk notifikasi serta pompa air akan otomatis hidup yang beguna untuk memindahkan air ke bak penampungan agar air sungai tetap berada dalam ketinggian normal yaitu pada ketinggian 10 cm.
Rancang Bangun Sistem Pengontrol Alat Pengering Kopi berbasis Internet Of Things (IOT)
Authors: Putra Farhan Raimon , Sukardi Sukardi , Myori Dwiprima Elvanny , Islami Syaiful 
Published: December 2024

Biji Kopi diolah dengan berbagai cara pengolahan yaitu pengolahan basah dan pengolahan kering.Tahapan pengolahan basah kopi robusta yang sangat menentukan mutu adalah fermentasi.Pengeringan kopi merupakan salah satu tahapan terpenting dalam pengolahan biji kopi. Kadar air berperan penting pada proses pengeringan terhadap kualitas biji kopi.Pengeringan merupakan yang sangat penting pada pengolahan kopi, tanpa pengeringan yang baik kualitas biji kopi tidak akan maksimal.Prinsip kerja alat ini berfungsi sebagai pengering biji kopi berbasis internet of things ,dengan alat ini pengeringan biji kopi lebih cepat.Sensor DHT-22 membaca kelembaban dan suhu pada ruangan pengeringan,dimana standarisasi untuk proses pengeringan biji kopi pada suhu 55’C dan kelambaban 15% RH agar kopi dapat kering secara maksimal.Pada alat ini menggunakan aplikasi blynk yang memungkinkan melakukan monitoring dari jarak jauh.Pada perancangan elektronik setiap komponen dihubungkan dengan Arduino yang berfungsi sebagai ‘otak’ dari alat pengering biji kopi ini. Untuk catu daya dari arduino menggunakan sumber dari panel surya dan DC adaptor dengan tegangan 12V, akan tetapi dapat digunakan opsi lain dengan menghubungkan sumber AC 220V. Pengujian alat pengering biji kopi ini dapat dijlalankan dengan menggunakan sistem otomatis dan manual yang mana dapat dikontrol melalui aplikasi blynk. Hasil pengujian alat pengering biji kopi ini dengan menggunakan aplikasi blynk sebagai interface diperoleh hasil pengujian sensor DHT-22 memiliki perbedaan terhadap pembanding sebesar 1–5°C ,sedangkan kelembaban hasil pengujian memiliki perbedaan terhadap pembanding sebesar 2-15%,sedangkan untuk hasil pengujian pemanas dan sirkulasi udara alat ini berjalan dengan baik.