bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is increasing income the only reason for rural labor mobility?—A case study of Heilongjiang, China
Authors: Hao Yanzhi , Chi Jia , Wang Gangyi 
Published: September 2023

IntroductionIt is widely known that rural labor mobility is of the utmost importance for the livelihoods of families in rural areas of developing countries. While it increases the income and overall labor productivity of rural households, it also creates many inevitable rural recessions. Existing studies have different views on whether increasing income is the only reason for rural labor mobility.MethodsThis paper discusses the influencing factors of rural labor mobility and investigates research on the causes of rural labor mobility. To do so, the study analyzes micro-survey data of 47 villages in 13 cities in Heilongjiang province, China, from 2014 to 2019. Considering the basic situation of rural families and labor mobility, the actual demand for rural laborers in Heilongjiang province is also analyzed.ResultsThe research results show that increasing income is not the only reason for the flow of rural labor, and that rural labor mobility requires more than just rising incomes.DiscussionThis study's main contribution is identifying that increased income does have a positive and significant impact on rural labor mobility, but seeking job opportunities, pursuing better-quality education for children, and developing prospects are significant factors in the current rural labor mobility.
Assessing the association between supplemented puppyhood dietary fat sources and owner-reported epilepsy in adulthood, among Finnish companion dogs
Authors: Hemida Manal , Rosendahl Sarah , Jokinen Tarja S. , Moore Robin , Vuori Kristiina A. , Anturaniemi Johanna , Hielm-Björkman Anna 
Published: September 2023

IntroductionEpilepsy is a serious and common neurological condition in dogs, despite the wide number of antiepileptic drugs available, in approximately one third of the patients, epilepsy remains unsatisfactorily controlled. We aim to analyze whether feeding dietary fat sources during puppyhood was associated with canine epilepsy in adulthood.MethodsA nested case–control study was compiled from the validated DogRisk food frequency questionnaire (DogRisk FFQ). DogRisk FFQ collected feeding, disease, and background data about the dog. The study sample consisted of 108 owner-reported epileptic cases and 397 non-epileptic controls. Each case was matched with up to four controls for the key confounding factors of sex, breed, and age. We analyzed associations between feeding as a puppy and owner-reported epilepsy as an adult dog using Cox regression. We tested 55 different food variables.ResultsWe found that feeding fish fat from dietary sources at least once a week during puppyhood was inversely associated with epilepsy in later life in the unadjusted analysis [OR 0.46 (95% CI 0.25–0.83),p=0.01], while when adjusting for keeping conditions and dog characteristics the association was [OR 0.45 (95% CI 0.23–0.88),p=0.02]. When adjusted for keeping conditions, dog characteristics, and other feeding factors, the association was of similar magnitude but not significance [OR 0.56 (95% CI 0.27–1.15),p=0.12].DiscussionThe study indicates possible protective associations of feeding the dog with dietary sources of fish fat against epilepsy, although the result could be confounded by other feeding factors. Findings are compatible with current knowledge regarding the role of omega-3 fatty acids and ketogenic diet, a low carbohydrate, high fat diet as supportive treatments of epilepsy. As our findings are based on observations, we suggest the possibility of causality but do not prove it. Dietary intervention studies should now be conducted to confirm our findings.
Investigation of red blood cell and platelet indices in adult dogs suffered from myxomatous mitral valve disease with and without pulmonary hypertension
Authors: Tangmahakul Nattawan , Orton E. Christopher , Surachetpong Sirilak Disatian 
Published: September 2023

BackgroundPulmonary hypertension (PH) is a common complication of cardiopulmonary disease. In dogs, PH commonly occurs secondary to myxomatous mitral valve disease (MMVD). Red blood cell and platelet indices including mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), red cell distribution width (RDW), mean platelet volume (MPV) and platelet distribution width (PDW), have previously been found to be indicators for predicting and prognosing PH in humans. Therefore, this study aimed to investigate whether these indices are associated with MMVD and/or PH in dogs.MethodsTwo hundred and forty-six dogs were retrospectively recruited for the study and classified into 4 groups: normal (n = 49), MMVD (n =102), PH (n =17), MMVD+PH (n =78). A sub-analysis was performed in dogs with MMVD without evidence of PH according to stage B1 (n =20), stage B2 (n =15), stage C (n =67). The data are expressed as median (interquartile range).Results and discussionNo significant differences (p &lt; 0.05) were found in MCV, RDW and MPV among all groups (normal, MMVD, PH and MMVD+PH). However, decreases in MCH and MCHC were found in MMVD [22.40 (20.90-23.50) pg and 35.25 (33.08-36.90) g/dL], MMVD+PH [22.25 (20.85-23.98) pg and 35.65 (33.30-37.33) g/dL] and PH groups [21.20 (20.60-22.20) pg and 33.80 (32.75-35.70) g/dL] compared to the normal dogs [24.29 (23.55-24.90) pg and 38.20 (37.50-39.05) g/dL] (p &lt; 0.001). Decreases in PDW were found in dogs in the MMVD+PH [15.10 (14.98-15.30) %] groups compared to dogs in the normal group [15.30 (15.10-15.50) %] (p = 0.004). Sub-analysis of MMVD dogs without PH showed a decrease in MCH in dogs with stage B2 MMVD [21.00 (20.50-22.90) pg] and stage C MMVD [22.40 (20.90-23.20) pg] compared to normal dogs [24.29 (23.55-24.90) pg] (p &lt; 0.001). MCHC of dogs with stage B1 [36.55 (33.53-37.78) g/dL] (p = 0.004), B2 [32.90 (32.00-35.00) g/dL] (p &lt; 0.001) and C MMVD [35.30 (33.30-36.80) g/dL] (p &lt; 0.001) were lower than those of normal dogs [38.20 (37.50-39.05) g/dL]. PDW in the stage C MMVD group [15.10 (15.00-15.30) %] was reduced compared to the normal group [15.30 (15.10-15.50) %] (p  = 0.042) and the stage B1 MMVD group [15.35 (15.23-15.68) %] (p = 0.002). MCH, MCHC and PDW were negatively correlated with the left atrial and left ventricular size.ConclusionDecreases in MCH and MCHC are related to MMVD, precapillary PH and postcapillary PH while PDW are associated with MMVD severity but not with the presence of PH.
Association of the Clínica Universidad de Navarra-Body Adiposity Estimator With Type 2 Diabetes: A Retrospective Cohort Study
Authors: Geng Shuoji , Chen Xuejiao , Bai Kaizhi , Ding Jiacheng , Li Haojie , Shi Songhe 
Published: September 2023

Objectives: Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) is considered to be a more accurate indicator of body fat estimation. We aimed to investigate the association of CUN-BAE with the risk of type 2 diabetes mellitus (T2DM) and to compare the strength of the association between CUN-BAE, body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR) and T2DM.Methods: The data were obtained from the annual health checkup database of residents in Xinzheng, China. From January 2011 to December 2021, 80,555 subjects aged ≥45 years met the inclusion criteria. Cox proportional hazard regression models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for CUN-BAE, BMI, WC, and WHtR in T2DM.Results: During a mean follow-up of 6.26 years, T2DM occurred in 12,967 subjects. The multivariable-adjusted HRs (95% CIs) of T2DM (highest vs. reference group) were 1.994 (1.811–2.196) for CUN-BAE, 1.751 (1.665–1.842) for WC, 1.715 (1.631–1.804) for WHtR, and 1.510 (1.436–1.588) for BMI, respectively. In addition, the risk of T2DM increased with baseline CUN-BAE (HR: 1.374; 95% CI: 1.328, 1.421), WC (HR: 1.236; 95% CI: 1.215, 1.256), WHtR (HR: 1.228; 95% CI: 1.208, 1.248), and BMI (HR: 1.175; 95% CI: 1.156, 1.195).Conclusion: Compared to BMI, WC or WHtR, CUN-BAE may more adequately reflect the adverse effects of adiposity on the risk of T2DM.
The Functional Components of By-Product Resources from the Aerial Parts of Polygonatum cyrtonema Hua
Authors: Xia Jiabei , Mei Xingyu , Cheng Huan , Chen Shiguo , Ye Xingqian , Chen Jianle 
Published: September 2023

The rhizome of Polygonatum, which has been consumed in China for nearly 2000 years, is rich in oligosaccharides, polysaccharides, saponins, and alkaloids and has various effects such as lowering blood sugar and anti-aging. Its aerial parts are often discarded as by-products and have been rarely studied; moreover, the nutritional composition and carbohydrate composition of these parts are not clear. In this study, the nutritional composition, amino acid evaluation, and the total phenolics content of the leaves, stems, fruits, and flowers of Polygonatum cyrtonema Hua were analyzed, and the composition and content of carbohydrates were determined by high-performance anion-exchange chromatography with pulsed amperometric detection (HPAEC–PAD). The results suggested that the leaves and flowers of Polygonatum cyrtonema Hua (PC) contained 1.12–1.37% phenolic substances. The proteins of the aerial parts had high nutritional values, and the total amino acid content of the leaves and flowers, with the total leaf amino acids amounting to 11.77%, were followed by the flowers at 11.65%. The sugars in the flowers were mainly free monosaccharides at 10.38%, and the fruits were dominated by 9.44% fructo-oligosaccharides. This study provided new evidence for the utilization of the aerial parts of Polygonatum.
Investigating false positive results in urine analysis using the immunoassay method for substance metabolite detection: a retrospective analysis
Authors: ZENGİN İSPİR Gamze , NAZLI Şerif Bora 
Published: September 2023

Objective: This study aims to investigate the false positive outcomes in urine analysis via the immunoassay method within an addiction treatment center outpatient clinic. While widely utilized for substance detection, false positive results in the immunoassay method can cause misleading. This study aims to attract attention to false positivity and its implications.
Methods: Conducted at an Alcohol and Drug Addiction Center outpatient clinic, the study retrospectively examines urine analyses from February to May 2023. Among 5109 immunoassay-based urine analyses, only 25 were subjected to confirmation through liquid chromatography-tandem mass spectrometry (LC-MS).
Results: The findings demonstrate that LC-MS verified 40% of immunoassay-positive urine samples as true positives. Significantly, false positive results were notable, particularly in cases involving benzodiazepines. The study accentuates a noteworthy disparity between initial immunoassay outcomes and subsequent confirmatory tests, casting doubts on the reliability of the immunoassay method. A fundamental discovery is the consistent identification of pregabalin and gabapentin in urine samples yielding false positive benzodiazepine results during confirmation analysis. This revelation prompts inquiries into the potential cross-reactivity of these medications in immunoassay-based tests, suggesting the need for careful consideration in clinical and forensic contexts.
Conclusion: The study underscores the importance of confirmatory testing for result accuracy and the multifaceted implications of false positives on patient-doctor relationships, treatment decisions, and patient safety. Acknowledging the study's limitations, such as its retrospective nature and limited participant pool, the research underscores the requirement for a comprehensive approach to substance detection, merging screening and confirmatory analyses to enhance diagnostic dependability.
ANALIS USER EXPERIECE DALAM APLIKASI SOCO BY SOCIOLLA UNTUK MENINGKATKAN PENGALAMAN PENGGUNA MENGGUNAKAN PENDEKATAN DESIGN THINKING
Authors: Hasibuan Mentari , Hamidah Khoirunnisa , Ridha Azhari Ali 
Published: September 2023

Pengalaman pengguna yang baik dalam aplikasi mobile menjadi faktor kunci dalam keberhasilan sebuah platform digital. Penelitian ini bertujuan untuk menganalisis User Experience (UX) aplikasi SOCO by Sociolla yang merupakan aplikasi di bidang kecantikan. Metode penelitian ini menggunakan pendekatan design thinking untuk menganalisis kebutuhan pengguna dalam menggunakan aplikasi SOCO by Sociolla. Penelitian ini juga bertujuan untuk mengidentifikasi fitur-fitur yang membutuhkan perbaikan ataupun peningkatan. Hasil analisis menujukkan ada beberapa masalah yang harus diperbaiki dari mulai bahasa, tata letak, kekonsistenan tampilan dan yang lainnya. Dari masalah-masalah yang ditemukan dibuatlah desain baru yang diujikan kepada reponden dan mendapatkan hasil yang baik dari perancangan ulang yang baru terhadap aplikasi SOCO by Sociolla.
BLOCKCHAIN UNTUK APLIKASI IOT HEALTHCARE: STUDI LITERATUR
Authors: Cahyono Taufiq Dwi , Hadikurniawati Wiwien 
Published: September 2023

Teknologi blockchain telah mengalami perkembangan pesat dalam beberapa tahun terakhir dan telah menyentuh hampir setiap aspek informasi dan bidang teknologi komunikasi. Potensi blockchain dapat diterapkan di berbagai industri dan bidang, termasuk logistik, rantai suplai pasokan, IoT, dan layanan kesehatan. Dalam industri kesehatan, blockchain memiliki dampak yang signifikan. Namun penilaian kritis terhadap aplikasi blockchain dalam pelayanan kesehatan masih belum tersedia secara komprehensif. Penelitian ini bertujuan untuk memberikan landasan teknis tentang berbagai aplikasi kesehatan berbasis blockchain, dengan fokus pada perkembangan terkini di bidang ini. Studi ini akan membahas teknologi blockchain kontemporer yang telah diterapkan dalam industri kesehatan, termasuk berbagi data medis, manajemen rantai suplai medis, rekam medis elektronik, klaim asuransi kesehatan, farmasi industri, dan pemantauan pasien jarak jauh. Penelitian ini memberikan wawasan mendalam tentang penggunaan blockchain dalam aplikasi pelayanan kesehatan berbasis IoT dan menyediakan analisis SWOT yang komprehensif untuk membantu pemangku kepentingan dalam memahami manfaat, tantangan, peluang, dan ancaman yang terkait dengan teknologi ini. Diharapkan bahwa hasil survei literatur ini akan memberikan landasan yang kuat untuk pengembangan lebih lanjut dan penerapan blockchain dalam pelayanan kesehatan IoT yang aman, efisien, dan terpercaya.
Pemberdayaan Ekonomi Masyarakat melalui Affiliate Marketing dan Peningkatan Pendapatan Afiliator
Authors: Hamzah Muchammad Wilianto , Mulyana Asep , Faisal Yudi Ahmad 
Published: September 2023

Indikator keberhasilan pemberdayaan ekonomi sebagai sebuah proses seringkali diambil dari tujuan sebuah pemberdayaan yang menunjukkan pada keadaan atau hasil yang ingin dicapai oleh sebuah perubahan sosial. Penelitian ini bertujuan untuk menganalisis pengaruh <em>affiliate marketing</em> terhadap pemberdayaan ekonomi melalui peningkatan pendapatan afiliator. Responden penelitian ini merupakan <em>affiliate marketer</em> dari berbagai <em>platform e-commerce</em> yang tersebar diberbagai kota di Indonesia. Pendekatan yang digunakan adalah deskriptif kuantitatif dengan teknik analisis jalur. Hasil penelitian menunjukkan <em>affiliate marketing </em>berpengaruh terhadap peningkatan pendapatan afiliator dan pada akhirnya memberdayakan ekonomi mereka. Konsep ini sangat cocok dengan ide-ide yang merupakan inti dari ekonomi sosial dan mengacu pada aktivitas yang diambil untuk kepentingan publik, yang mengasumsikan dominasi efek sosial atas upaya untuk memaksimalkan keuntungan. Penelitian ini memberikan memberikan pemahaman baru, bahwa program <em>affiliate marketing</em> adalah salah satu bentuk baru dari pemberdayaan ekonomi, yang kedepannya akan terus maju dan berkembang ke arah <em>cooperative economy</em> yang lebih adil dan menyejahterakan.
A Constant Common Mode Voltage Single-Phase Five-Level Transformerless PV Inverter Considering the Effect of Switch Device Junction Capacitance
Authors: Muktevi Vital LN , Sonti Venu , Siwakoti Yam P. , Lee Sze Sing , jain sachin 
Published: September 2023

<p>Constant common mode voltage (CCMV) is critical in Solar Photovoltaic (SPV) systems. Maintaining CCMV further eliminates the transitions in the voltage across the parasitic capacitance of the PV panel, making it a low-frequency output voltage waveform. This further reduces the leakage and common mode current in the SPV systems. This paper presents a five-level switched capacitor PV inverter configuration that maintains the CCMV with low-frequency terminal voltage while considering the effect of switch device junction capacitance (SDJC). Thus, the proposed configuration eliminates the transitions in the common mode and terminal voltage due to the SDJC. The two switched capacitors employed in the proposed configuration are charged and discharged within each switching period, supporting the self-charge balance feature apart from low voltage and RMS current rating, reducing its size and value. Further, the proposed system effectively utilizes the PV source as switch capacitors, and the dc-bus buffer capacitor across the PV source comes in parallel in each switching period. The proposed configuration can also operate at lower modulation indices generating three levels with CCMV. A new mathematical analysis considering SDJC is given for the derivation of expression for terminal voltage and CMV, which is further verified using simulation and experimental results </p>
FPGA based Artificial Neural Network Processor for Detection of Epileptic Seizure
Authors: Gupta Bharat , Balivada Yashwant Kumar , KUMAR ABHASH , Sameer Mustafa 
Published: September 2023

<p> The design of an FPGA based portable seizure detection system for epilepsy patients is presented in this paper. For complete hardware support, an FPGA based epilepsy detection system exploiting Artificial Neural Network (ANN) based classifier with on chip training and testing support have been presented in this paper. With the help of such Neural Network processor, the prevailing problems in software like latency can be overcome and, also one can proceed towards an ASIC design of such system which is in high demand in recent days in the field of neuromorphic computing. The proposed hardware design takes the epileptic seizure characteristics namely—mean, variance, skewness, and, kurtosis as the input vectors to the ANN model and generates the classification output similar to traditional software system but now with complete and isolated hardware support. The total framework which incorporates both training and testing has been designed using Verilog HDL on Xilinx Vivado software. The objective development board chosen for epileptic seizure detection implementation and testing was Xilinx Zedboard. The various seizure groups namely— (SZ, SO, SN, SF, S-ZO, S-NF, ZO-NF, S-ZONF) which are taken from 4 unique frequency based groups which are <em>Alpha</em>, <em>Beta</em>, <em>Delta</em>, <em>Theta</em> accomplishing an accuracy ranging from 70% to 90% for different models. Previously, hardware support had already been presented through software hardware co-design approach, where software based training were accompanied by hardware based testing on FPGA. But, the problem with this approach is that it needs repetitive tuning of weights on software to learn patterns on different datasets and then have to store it on hardware for testing/inference work. So, we troubleshooted this problem by our novel work where our proposed FPGA ANN architecture lessens this intricacy incredibly as hardware can train and test on FPGA itself without the need of external software assistance. </p>
ANALISIS PEMAHAMAN GURU TERHADAP GAYA BELAJAR PESERTA DIDIK KELAS II
Authors: Rifqotul Badriyah  , Bagus Ardi Saputro  , Mei Fita Asri Untari  
Published: September 2023

ABSTRAK
Penelitian ini berisi tentang pemahaman guru terhadap gaya belajar peserta didik kelas II, penelitian ini melatarbelakangi pentingnya guru dalam peran memahami karaker peserta didik dalam gaya belajar. Tujuannya untuk mendeskripsikan pemahaman guru terhadap gaya belajar, layanan yang diberikan guru kepada peserta didik, profil pembelajaran, kendala-kendala yang dialami guru, dan upaya guru dalam mengatasi berbagai tantangan terhadap gaya belajar peserta didik di kelas II. Penelitian ini menggunakan pendekatan kualitatif dengan jenis deskriptif. Pengambilan data dilakukan menggunakan wawanara, hasil observasi dan data angket gaya belajar peserta didik. Pemahaman guru terhadap gaya belajar dari peserta didik sangat penting untuk dimiliki, karena pengetahuan gaya belajar merupakan tujuan untuk mempermudah guru dalam memberikan materi pengajaran yang sesuai dengan kebutuhan dari masing-masing peseerta didik. Untuk itu keterampilan dalam memahami gaya belajar dari peserta didik harus dimiliki guru dengan cara menyebar angket atau melakukan wawancara. Hasil dari penelitian ini bahwa guru sudah memahami gaya belajar yang dimiliki oleh peserta didik, dilihat dari hasil wawancara, dan pembelajaran yang menggunakan gaya belajar peserta didik sebagai acuannya. Saran untuk langkah yang lebih bagus lagi yaitu, guru harus mempersiapkan dengan matang kegiatan-kegiatan, media pembelajaran atau fasilitas apapun yang akan digunakan dalam pembelajaran dengan gaya belajar, agar tidak terjadi kendala-kendala yang tidak diinginkan.
Kata Kunci : Gaya Belajar, Karakter, Pemahan Guru
ANALISIS KEMAMPUAN KOGNITIF PESERTA DIDIK DENGAN MEDIA BERBASIS AUGMENTED REALITY DI SEKOLAH DASAR
Authors: Charisma Annuritza Arliana  , Iin Purnamasari  , Suyoto  , Maflakhah  
Published: September 2023

ABSTRAK
Penelitian ini dilatarbelakangi pada perkembangan teknologi informasi di bidang edukasi yang semakin pesat, salah satunya adalah teknologi Augmented Reality yang dapat dimanfaatkan sebagai media pembelajaran multimedia termasuk media pembelajaran energi alternatif. Energi alternatif merupakan salah satu pelajaran ilmu pengetahuan alam yang diajarkan di Sekolah Dasar, namun saat ini materi mata pelajaran ini masih melalui buku atau gambar 2D sehingga peserta didik harus kebanyakan mengkhayalkan bagaimana cara kerja energi alternatif. Penelitian ini bertujuan untuk mendeskripsikan dan menganalisis kemampuan kognitif peserta didik melalui media berbasis Marker Augmented Reality pada muatan energi alternatif kelas III di SDN Muktiharjo Kidul 03 Semarang. Metode penelitian yang ada dalam penelitian ini adalah kualitatif deskriptif. Berdasarkan dari data hasil tes kemampuan kognitif peserta didik kelas III di SDN Muktharjo Kidul 03 Semarang, diketahui bahwa rata-rata nilai keseluruhan peserta didik memiliki persentase 86,2% melebihi KKM dengan kategori sangat baik. Dengan demikian, dapat disimpulkan bahwa media berbasis Augmented Reality dapat diterapkan sebagai media pembelajaran yang dapat membantu peserta didik dalam mengkonstruksi pengetahuan untuk dapat meningkatkan kemampuan kognitif peserta didik khususnya pada muatan energi alternatif.
Kata Kunci : Augmented Reality, Hasil Belajar.
ANALISIS NILAI KARAKTER KEDISIPLINAN MELALUI KEGIATAN PEMBIASAAN APEL PAGI DI SDN KARANGREJO 01 SEMARANG
Authors: Herlinda Mar’atusholihah  , Endang Wuryandini  , Veryliana Purnamasari  , Pramesti Indriastuti  
Published: September 2023

Penelitian ini dilatar belakangi kurangnya karakter kedisiplinan. Penelitian ini bertujuan untuk pembentukan karakter kedisiplinan terhadap apel pagi. Subjek penelitian adalah peserta didik kelas IV SD Negeri Karangrejo 01 Semarang. Penelitian ini merupakan penelitian deskriptif kualitatif. Teknik pengumpulan data melalui observasi, wawancara dan dokumentasi. Sedangkan untuk menegcek keabsahan data peneliti menggunakan teknik triangulasi. Hasil penelitian menunjukkan bahwa kegiatan pembiasaan apel pagi di SDN Karangrejo 01 Semarang sudah berjalan dengan baik, seperti upacara bendera, menyanyi lagu nasional dan daerah, asmaul husna, literasi, senam dan kerjabakti. Cara penerapan nilai pendidikan karakter kedisiplinan melalui kegiatan pembiasaan apel pagi dilakukan dengan praktik langsung setiap hari. Hal ini diketahui dari hasil observasi yang dilakukan oleh peneliti pada saat kegiatan pembiasaan apel pagi di SDN Karangrejo 01 Semarang.