bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detection and Classification of the Different Stages of Alzheimer’s Disease using Sequential Convolutional Neural Network
Authors: Prakasam P , Gnanavel Aakash , Rajendran Karnan , Suresh Sailesh 
Published: December 2022

Background
Alzheimer's disease (AD) is a degenerative disorder known as mild or significant neurocognitive impairment diagnosed in older people and significantly reduces their quality of life. Memory issues are regularly one of the principal indications of Alzheimer's disease; however, beginning manifestations may vary from one individual to another. Detecting Alzheimer's disease is a time-consuming and challenging task but requires brain imaging reports and human expertise.

Objective
More accurate and early diagnosis is essential for timely treatment and risk reduction. The accurate diagnosis of Alzheimer's disease plays an essential role in inpatient treatment, especially at the disease's early stages, because risk awareness allows the patients to undergo preventive measures even before the occurrence of irreversible brain damage. The main objective of this research is to diagnose Alzheimer's disease in its early stage through Magnetic Resonance Imaging (MRI).

Methodology
To detect and classify the various stages of Alzheimer’s disease from the MRI, a Sequential Convolutional Neural Network (S-CNN) model is proposed, which incorporates the advantage of convolution operation and recurrent operation.

Results
The combination of Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset and the Open Access Series of Imaging Studies (OASIS) dataset obtained from the Kaggle is used for training and testing the proposed S-CNN model.

Conclusion
The baseline DenseNet169 model has been fine-tuned and added sequentially to achieve better validation accuracy. From the validation, it is observed that it achieves an accuracy of 88.60% and outperforms other reported methods.
Perencanaan Sistem Distribusi Air Baku di Dusun Ngindeng, Kecamatan Sawoo, Kabupaten Ponorogo dengan Menggunakan Aplikasi WaterCAD V8i
Authors: Yuwansa Satria Ilman , Haribowo Riyanto , Sholichin Moch 
Published: December 2022

Dusun Ngindeng merupakan dusun yang terletak di Kecamatan Sawoo Kabupaten Ponorogo, masyarakat di Dusun Ngindeng sebagian besar mengandalkan sumber air tanah untuk memenuhi kebutuhan air baku, harapan dibangunya Waduk Bendo di Dusun Ngindeng sebagai sumber air baku bisa dipakai dalam mencukupi kebutuhan air. Penelitian ini bertujuan untuk membuat recana pada sistem jaringan air baku di Dusun Ngindeng, yang termasuk kualitas air, hidraulika,Â dan ekonomi. Dalam perencanaan jaringan air bersih, dilakukan dengan aplikasi WaterCAD V8i untuk simulasi dan pemodelan kondisi hidraulik jaringan air bersih. Akan tetapi dalam perhitungan ekonomi dilaksanakan secara manual, proses Analisa memiliki hasil yang menunjukkan kondisi hidrolis jaringan pipa masih terdapat di kategori ketentuan yang ditetapkan, yaitu memiliki kecepatan 0,100 m/dt â€“ 1,902 m/dt, Headloss Gradient 0,065 m/km â€“ 14,428 m/km dan tekanan 3,520 atm â€“ 8,895 atm, kemudian klorin yang tersisa 0,300 mg/l â€“ 0,400 mg/l. Analisa pada ekonomi, bahwa tarif air terendah sebanyak 1.746,95/m3 Â dengan harga proyek sebanyak Rp. 521.700.000,00
Studi Perencanaan Sistem Jaringan Pipa Distribusi Air Bersih dengan Software WaterCad di Perumahan Bulan Terang Utama Kota Malang
Authors: Rinaldy Alif - , Ismoyo M. Janu , Dermawan Very 
Published: December 2022

Perumahan Bulan Terang Utama terletak di Kecamatan Kedung Kandang, Kota Malang. Pada tahun 2020 Perumahan Bulan Terang utama memiliki total rumah sebanyak 1147 unit rumah dengan jumlah penduduk 2867 jiwa. Dalam upaya mendukung ketersediaan perumahan siap huni, Perumahan Bulan Terang Utama pada tahun 2021 akan melakukan pengembangan dengan jumlah rumah sebanyak 201 unit rumah siap huni. WaterCAD v8i adalah program yang berfungsi dalam melakukan simulasi jaringan pipa distribusi air bersih. Program ini juga disertai kalkulasi RAB dengan merujuk pada pedoman HSP Kota Malang. Penelitian ini menggunakan analisa ekonomi berupa NPV, Payback Period, IRR, serta BCR.Â Kebutuhan air bersih rata â€“ rata pada Perumahan Bulan Terang Utama Kota Malang yaitu sejumlah 2,73 lt/dt. Penyimulasian dilangsungkan memakai WaterCAD v8i menampilkan pendistribusian air bersih bagi Perumahan Bulan Terang Utama Kota Malang telah mampu dilayani 100% guna kebutuhan rerata ataupun dalam jam puncak. Rencana anggaran pada perencanaan di Perumahan Bulan Terang Utama sebesar Rp245.589.670. Analisa Ekonomi untuk periode pengembalian pada kurun waktu 2,5 tahun dan tingkat suku bunga 3,75% pada harga air Rp2.400,-/m3.
Evaluasi Dimensi dan Stabilitas Tanggul Kali Lamong di Kabupaten Gresik Jawa Timur
Authors: Dwi Lestari Febby Sekar , Hendrawan Andre Primantyo , Prayogo Tri Budi 
Published: December 2022

Pembangunan tanggul tanah merupakan metode pengendalian banjir yang umum dipakai di wilayah perkotaan. Studi ini bertujuan untuk mengetahui stabilitas tanggul urugan tanah Kali Lamong dalam berbagai kondisi dan untuk mengevaluasi keamanan tanggul dengan bantuan grafik evaluasi (evaluation chart). Penelitian ini dilaksanakan di Kali Lamong, Propinsi Jawa Timur. Â Software yang digunakan untuk analisa stabilitas lereng adalah AutoCAD dan GeoStudio SLOPE/W. Hasil penelitian ini menunjukkan bahwa variasi kondisi tanah yang paling aman/stabil untuk pembangunan tanggul adalah variasi I, III, dan V. Parameter kondisi tanggul yang paling direkomendasikan adalah kondisi tanah variasi I, III, dan V, dengan tinggi tanggul bagian dalam (water-side) 3 m dengan setiap variasi tinggi jagaan. Grafik evaluasi menunjukkan pengaruh parameter kondisi tanah, geometrik, dan muka air terhadap nilai faktor keamanan tanggul eksisting Kali Lamong. Dari grafik evaluasi stabilitas tanggul eksisting Kali Lamong diketahui bahwa pada setiap parameter variasi kondisi tanah untuk sisi tanggul bagian dalam (water-side) mengalami kenaikan nilai faktor keamanan ketika tinggi tanggul bagian dalam (water-side) bertambah sedangkan untuk sisi tanggul bagian luar (land-side) mengalami penurunan nilai faktor keamanan ketika tinggi tanggul bagian dalam (water-side) bertambah.
Giving green grass jelly for mda (malondialdehyde) level in pregnant women with hypertension
Authors: Rochkmana Meika Jaya , Suwondo Ari , Sulistyani Sulistyani 
Published: December 2022

<p align="center"><strong><em> </em></strong></p><p><strong><em>Background:</em></strong><em> Hypertension is a disease that often occurs during pregnancy. Many factors influence the occurrence of hypertension, one of which is oxidative stress. Oxidative stress has an important role in the pathogenesis of hypertension in pregnancy and may be a pathway that can lead to tissue damage. Oxidative stress can stimulate the release of cytokines, antiangiogenic, microparticles and other important molecules in hypertension. Oxidative stress is caused by an imbalance of prooxidants and antioxidants. So we need antioxidants that can suppress oxidative stress in pregnant women with hypertension. Green grass jelly contains alkaloids and flavonoids. Where flavonoids can act as antioxidants and anti-inflammatory. Flavonoids can reduce arterial stiffness making Reactive Oxygen Species (ROS) decrease so that fat peroxide decreases and is followed by decreased oxidative stress, then endothelial function will increase and vasodilation occurs. Malondialdehyde (MDA) is an aldehyde marker compound that is important to see lipid peroxidation and oxidative damage caused by Reactive Oxygen Species (ROS).</em></p><p><strong><em>Objectives:</em></strong><em> To prove that giving green grass jelly has an effect on reducing oxidative stress in pregnant women.</em></p><p><strong><em>Methods</em></strong><em>: This study used a quasy experiment with a pretest and posttest control design. A sample of 30 was divided into 2 groups. The group with green grass jelly intervention was 15 people who were given green grass jelly as much as 150 grams per day for 14 days. The second group as many as 15 people as the control group.</em></p><p><strong><em>Results:</em></strong><em> The green grass jelly intervention group had a significant difference with p-value &lt;0.05. For malondialdehyde results in the control group there was no change in p-value &gt; 0.05. The mean decrease in malondialdehyde levels in the control group was 0.0560 nmol/ml while the average decrease in malondialdehyde in the intervention group was 1.3133 nmol/ml.</em></p><strong><em>Conclusions:</em></strong><em> Green grass jelly is effective and significant for reducing malondialdehyde levels in pregnant women with mild hypertension.</em>
The Role of Dysfunctional Sleep Beliefs in Mediating the Outcomes of Web-Based Cognitive Behavioral Therapy for Insomnia in Community-Dwelling Older Adults: Protocol for a Single-Group, Nonrandomized Trial
Authors: Kutzer Yvonne , Whitehead Lisa , Quigley Eimear , Stanley Mandy 
Published: December 2022

Background
Sleeping well is an essential part of good health. Older adult populations report a high rate of sleep problems, with recent studies suggesting that cognitive processes as well as behavioral and hyperarousal-related mechanisms could be important factors in the development and maintenance of insomnia. Individuals who have an asynchronous or uncoupled sleep pattern and sleep appraisal—those who complain about their sleep but do not have poor sleep quality, and vice versa—might show differences in subjective sleep and sleep perceptions and other characteristics that could impact their treatment outcomes following cognitive behavioral therapy for insomnia (CBT-I).

Objective
The purpose of this protocol is to describe the rationale and methods for a nonrandomized, single-arm trial assessing objective and subjective sleep quality in community-dwelling older adults aged 60-80 years with synchronous sleep patterns and sleep appraisal compared to those in older adults with asynchronous sleep patterns and sleep appraisal. The trial will further examine the role of cognitive, behavioral, and hyperarousal processes in mediating the treatment outcomes of web-based CBT-I.

Methods
This trial aims to recruit a sample of 60 participants, who will be assigned to 1 of 4 sleep groups based on their sleep pattern and sleep appraisal status: complaining good sleepers, complaining poor sleepers, noncomplaining good sleepers, and noncomplaining poor sleepers, respectively. The trial will be completed in 2 phases: phase 1 will assess objective sleep (measured via wrist actigraphy) and subjective (self-reported) sleep. Phase 2 will investigate the impact of a web-based CBT-I program on the sleep outcomes of individuals with uncoupled sleep compared to that of individuals without uncoupled sleep, as well as the mediators of CBT-I.

Results
Recruitment began in March 2020, and the last participants were recruited by March 2021. A total of 65 participants completed phases 1 and 2. Data analysis for phase 1 was finished in December 2021, and data analysis for phase 2 was finalized in July 2022. The results for phase 1 were submitted for publication in March 2022, and those for phase 2 will be submitted by the end of December 2022.

Conclusions
This trial will provide guidance on factors that contribute to the variability of sleep in older adults and their sleep outcomes following CBT-I. The outcomes of this study could be valuable for future research attempting to tailor CBT-I to individual needs.

Trial Registration
Australian New Zealand Clinical Trials Registry ACTRN12619001509156; https://tinyurl.com/69hhdu2w

International Registered Report Identifier (IRRID)
DERR1-10.2196/32705
Pengelompokan Provinsi Prioritas di Indonesia Guna Menilai Efisiensi Proporsi Dana Alokasi Khusus Fisik Bidang Sanitasi dan Air Minum Tahun 2020
Authors: Yumanda Friska Cahya , Vidriza Ullya 
Published: December 2022

Abstrak
Sustainable Development Goals (SDGs) poin enam yang berfokus pada bidang air minum, sanitasi, dan kebersihan lingkungan memiliki target untuk menciptakan akses air minum dan sanitasi layak bagi semua orang dan memastikan terjaganya kuantitas air bersih. Guna mencapainya, Indonesia menghadapi berbagai tantangan terutama disebabkan adanya ketimpangan dan perbedaan kemampuan ekonomi dalam pelaksanaan program-program bidang air minum dan sanitasi di daerah. Tulisan ini bertujuan untuk mengelompokkan provinsi-provinsi di Indonesia berdasarkan kesamaan karakteristiknya pada variabel air minum layak, sanitasi layak, Indeks Kualitas Air (IKA), dan tingkat kemiskinan menggunakan k-means clustering. Hasilnya, terbentuk lima buah klaster, dengan klaster satu hingga lima secara berurutan menunjukkan peringkat prioritas dari yang teratas hingga terbawah. Penentuan urutan prioritas klaster tersebut kemudian dijadikan sebagai dasar dalam melakukan perbandingan deskriptif-statistik Dana Alokasi Khusus (DAK) Fisik pada masing-masing klaster untuk menilai efesiensi DAK Fisik 2020, yang ternyata sudah cukup baik dalam menargetkan daerah-daerah sesuai urutan prioritasnya di bidang air minum dan sanitasi.
Kata kunci: k-means clustering, air, sanitasi, sustainable development goals

Abstract
SDGs 6, which focus on water, sanitation, and hygiene, aims to create acess to drinking water and proper sanitation for all and ensuring the quality of clean water is maintained. In achieving this, Indonesia faces various challenges, mainly due to inequality and differences in economic capacity in implementing programs in the water and sanitation sector in the regions. This paper aims to group provinces in Indonesia based on their similarity of characteristics in proper drinking water, proper sanitation, IKA, and poverty level indicators using k-means clustering. As a result, five clusters were formed, with clusters one to five sequentially showed priority rankings from the highest to the lowest. The priority order of the clusters determined before, is then used as the basis for conducting descriptive statistical comparisons of the DAK Fisik allocation in each cluster to assess the efficiency of DAK Fisik allocation in 2020, which turned out to be quite good at targeting regions according to their priority order in the drinking water and sanitation sector.
Keywords: k-means clustering, water, sanitation, sustainable development goals
Examining Sustainability Dimension in Corporate Social Responsibility of ExxonMobil Cepu: An Overview of Socio-Cultural and Economic Aspects
Authors: Romadhona Mochamad Kevin , Subagyono Bambang Sugeng Ariadi , Agustin Dwi 
Published: December 2022

Abstract
Sustainability in corporate social responsibility is essential. ExxonMobil Company, engaged in natural resource exploration, plays a vital role in realizing sustainability in corporate social responsibility. The concept of sustainability is closely related to the 3Ps (profit, people, and planet), which John Elkington discovered. The company's commitment to implementing CSR programs and the benefits provided are based on sociocultural and economic conditions underlying this research. This study aims to identify the benefits of CSR programs in sociocultural and economic aspects and the implementation of sustainability in corporate social responsibility. The method used is descriptive quantitative with an observational approach, as well as an in-depth, in-depth review technique to support the findings of field data. The sociocultural and economic aspects of the research are categorized into eight main categories. Field findings show that in several types, ExxonMobil's CSR program can still not benefit the community of Ringintunggal village, Gayam, Bojonegoro Regency.
Keywords: Sustainability, Corporate Social Responsibility, Socio-Cultural Benefit, Economic Benefit
Abstrak
Perusahaan ExxonMobil yang bergerak dalam bidang eksplorasi sumber daya alam memegang peranan penting dalam mewujudkan keberlanjutan dalam tanggung jawab sosial perusahaan. Konsep keberlanjutan berkaitan erat dengan profit, people, dan planet (3P) yang dikemukakan oleh John Elkington. Komitmen perusahaan dalam menjalankan program CSR serta manfaat yang diberikan didasari pada sosio-kultural dan ekonomi yang juga mendasari penelitian ini. Tujuan penelitian ini adalah mengidentifikasi manfaat dari program CSR pada aspek sosio-kultural dan ekonomi serta implementasi keberlanjutan dalam tanggung jawab sosial perusahaan. Metode yang digunakan adalah kuantitatif-deskriptif dengan cara observasi dan wawancara mendalam untuk mendukung temuan data lapangaan. Konsep keberlanjutan dalam tanggung jawab sosial perusahaan berkaitan dengan kebermanfaatan yang berkelanjutan meliputi aspek socio-kultural dan economi k edalam lima kategori utama dengan sembilan pertanyaan. Hasil penelitian dengan menggunakan konsep keberlanjutan dalam tanggung jawab sosial perusahaan minyak pada ExxonMobil Blok Cepu menunjukkan bahwa dari sembilan kategori item hanya lima yang memiliki kebermanfaatan secara socio-kultural dan ekonomi. Hal tersebut membuktikan bahwa perusahaan ExxonMobil cukup berkomitmen dalam mengimplementasikan konsep keberlanjutan dalam tanggung jawab sosial perusahaan. Sehingga perlu adanya eveluasi terhadap program tanggung jawab sosial perusahaan yang akan datang.
Kata Kunci: Sustainability, Corporate Social Responsibility, Manfaat Sosio-Cultur, Manfaat Ekonomi
Analisis Tata Kelola Kebijakan Sosial Penanganan Pandemi COVID-19 di Indonesia Berdasarkan Perspektif Adaptive Governance
Authors: Pamungkas Sri Harjanto Adi , Daffaakbar Muhammad Alvarizi , Nurrizky Arya Malik 
Published: December 2022

Abstrak
Pandemi COVID-19 merupakan tantangan besar yang dihadapi seluruh negara di dunia sejak tahun 2020. Kebijakan sosial menjadi instrumen kebijakan paling penting pada masa pandemi. Pandemi COVID-19 memiliki karakteristik dinamis, eksponensial, serta dipenuhi kompleksitas dan ketidakpastian. Hal ini membuat implementasi kebijakan sosial perlu dilakukan dengan dasar tata kelola adaptif (adaptive governance). Studi ini melakukan analisis komparatif terhadap implementasi kebijakan sosial di Indonesia dan Brazil pada periode pandemi. Analisis dilakukan berdasarkan 7 indikator tata kelola adaptif yang dioperasikan dalam flexible arrangements dan barriers to flexible arrangements. Temuan dari studi ini menunjukkan bahwa di Indonesia, proses kebijakan, konten kebijakan, dan struktur organisasi bersifat fleksibel. Namun, terdapat konflik kepentingan, ketidakjelasan distribusi kewenangan, ketidakjelasan distribusi biaya & manfaat, dan distrust. Sementara di Brazil, konten kebijakan fleksibel namun proses kebijakan dan struktur organisasi tidak fleksibel. Selain itu, terdapat konflik kepentingan dan distrust, namun tidak terdapat ketidakjelasan distribusi kewenangan maupun distribusi biaya & manfaat.
Kata Kunci: Pandemi, COVID-19, Adaptive Governance, Kebijakan Sosial.

Abstract
The COVID-19 pandemic is a major challenge faced by countries worldwide since 2020. Social policy, therefore, becomes an important policy instrument. Characteristically, the pandemic is dynamic, exponential, and filled with complexity and uncertainty. This makes adaptive governance crucial to the implementation of social policies. This study compares the implementation of social policies in Indonesia and Brazil during the pandemic. The analysis is based on 7 indicators of adaptive governance, operationalized in flexible arrangements and barriers to flexible arrangements. The findings shows that in Indonesia, the policy process, policy content, and organizational structure are flexible. However, there are conflicts of interest, unclear distribution of authority, unclear distribution of costs & benefits, and distrust. In Brazil, the policy content is flexible, while the policy process and organizational structure are not. Conflict of interest and distrust are present, while the distribution of authority and distribution of costs & benefits are clear.
Keywords: Pandemic, COVID-19, Adaptive Governance, Social Policy.
Estimación de masa de forraje en una pradera mixta por aprendizaje automatizado, datos del manejo de la pradera y meteorológicos satelitales
Authors: Guevara-Escobar Aurelio , Cervantes-Jiménez Mónica , Lemus-Ramírez Vicente , Yabuta-Osorio Adolfo Kunio , García-Muñiz José Guadalupe 
Published: December 2022

Medir la masa de forraje (MF) en la pradera, antes del pastoreo, es fundamental para determinar la asignación diaria de forraje en sistemas pastoriles de producción animal. La MF se estima por corte de forraje en áreas conocidas, utilizando ecuaciones alométricas, o con el uso de sensores de percepción remota (PR); sin embargo, la exactitud y practicidad de los distintos métodos para estimar la MF, es variable. El objetivo fue obtener modelos predictivos usando variables ambientales y del manejo de la pradera para predecir la MF. Se ajustaron modelos de regresión para estimar la MF con base en variables del manejo de la pradera (MP) o mediciones obtenidas por PR, como reflectancia, temperatura del aire y lluvia. Por tres años se estudió una pradera mixta pastoreada con bovinos productores de carne. Con 80 % de datos se modeló por mínimos cuadrados ordinarios (OLS) o por algoritmos de aprendizaje automatizado (ML). El 20 % restante de los datos se utilizó para validar los modelos usando el coeficiente de determinación y el sesgo promedio entre valores estimados y observados. El modelo base de estudio fue la relación entre la altura de la pradera antes del pastoreo y la MF de este modelo se ajustó usando OLS; la r2 fue 0.43. Cuando se ajustaron modelos que incluyeron variables del MP, la r2 fue 0.45 para OLS y 0.63 para ML. Al ajustar modelos con variables de MP y PR, la r2 fue 0.71 para OLS y 0.96 para ML. Los ensambles de modelos ajustados con ML redujeron el sesgo de estimados de MF de la pradera examinada. En general, los modelos de ML representaron mejor la relación entre altura de la pradera antes del pastoreo y MF que los de modelos de OLS, al ajustarlos con variables de manejo de la pradera y con información de PR. Los modelos de ML pueden usarse como herramienta para la toma de decisiones diaria en sistemas productivos pastoriles.
Efficacy and perceived satisfaction of 3-year SLIT in children with allergic rhinitis and asthma: A pilot study in real-life .
Authors: Manti Sara , Tropea Giulia Maria Diletta , Ledda Caterina , Parisi Giuseppe Fabio , Papale Maria , Compalati Enrico , Frati Franco , Leonardi Salvatore 
Published: December 2022

Background. Despite the presence of robust evidence, very
sparse data are available on the efficacy of allergen immunotherapy
(AIT) on selected patients in real-life. Moreover, the obtained
data does not ever fit with the general population; thus, the
translation and the use of data obtained from randomized clinical trials
(RCTs) in real-practice can be questionable. Accordingly, we
aimed to evaluate in real-life efficacy and perceived
satisfaction of 3-year sublingual immunotherapy (SLIT) in a pediatric
population with with allergic rhinitis and/or asthma.
Methods. A pilot, monocenter, retrospective cohort,
real-life study was performed. 153 children who fulfilled the
criteria for allergic rhinitis and asthma and mono- or poly-sensitized
were enrolled. A standardized questionnaire on perceived efficacy,
rescue medication, disease control, number of exacerbations, quality of
life, and perceived satisfaction was administered to each patient.
Results. 70 patients (49 males, 21 females; mean age, 14.3±1.9
years) were included in the final analysis. All 70 patients received
SLIT for up to three years, with 100% treatment adherence throughout
the study duration. Significant improvement in symptoms and quality of
life was reported (p<0.01). A significant decrease in disease
severity, rescue medication use, and sleep disturbances was reported
(p<0.01). A significant improvement was also recorded in
school performance (p<0.01). 60/70 (85.7%) of all
enrolled patients declared themselves very satisfied,
6/70 (8.57%) much satisfied, and 4/60 (5.71%)
satisfied. Conclusions. We firstly showed the efficacy
and perceived satisfaction of 3-year SLIT in a paediatric population,
with 100% treatment adherence throughout the study duration, in
real-life.