bluuebunny/crossref_metadata_2025_split huggingface dataset:
AKTIVITAS EKONOMI PENGRAJIN TANGGUI DI BANTARAN SUNGAI KELURAHAN ALALAK SELATAN
Authors: Istika Martiya , Subiyakto Bambang , Rusmaniah Rusmaniah , Handy Muhammad Rezky Noor , Ilhami M. Ridha 
Published: April 2022

Tanggui menjadi topi tradisional khas dari Kalimantan Selatan yang menjadi warisan budaya turun temurun dari zaman dulu. Kurangnya potensi dan peluang dalam memasarkan produk Tanggui membuat konsumen kurang tertarik pada produk Tanggui, dengan mengembangkan kegiatan ekonomi pengrajin Tanggui bisa dengan melalui distribusi yaitu pemasaran melalui media sosial, mengingat zaman sekarang teknologi sudah semakin maju. Penelitian ini bertujuan mendeskripsikan aktivitas ekonomi pengrajin Tanggui dalam kegiatan produksi, distribusi, konsumsi di Kelurahan Alalak Selatan. Penelitian ini menggunakan pendekatan kualitatif metode deskriptif. Data didapatkan melalui observasi, wawancara, dan dokumentasi. Uji keabsahan data melalui triangulasi sumber, teknik, dan waktu. Data disajikan dalam bentuk deskripsi dan dilengkapi gambar. Hasil penelitian yaitu aktivitas ekonomi pengrajin Tanggui yang dilakukan oleh pengrajin Tanggui di bantaran sungai dengan melalui kegiatan ekonomi memproduksi, mendistribusi, dan konsumsi. Produksi Tanggui yang dilakukan pengrajin Tanggui dengan memakai bahan baku daun nipah dengan mendistribusikannya kepada konsumen melalui media sosial, sehingga membuat konsumen lebih tertarik dalam melihat promosi yang dilakukan oleh pengrajin Tanggui.
PEMANFAATAN MEDIA SOSIAL UNTUK IKLAN KAMPANYE PASANGAN CALON PADA PEMILIHAN
Authors: Vikalista Ellisa , Atika Atika 
Published: April 2022

Due to this continuing and wide-spreading COVID-19 pandemic, the 2020 election processes of the head of governments have been adapting, particularly the campaign processes. This study analysis the utilization of social media in campaign advertisements by candidates of the 2020 Election of the Mayor of Banjarmasin. Research type and approach is descriptive-qualitative. Key informants were mayor candidates both the incumbent and challengers. Additional informants were officers at the Local Election Commission (KPU Banjarmasin) and the Election Surveillance Agency (Bawaslu Banjarmasin). Data obtained from observation, interview and important documents. The research findings showcase that each candidateshave utilized several platform of social media. They reached their followers/voters through Instagram, Facebook, YouTube and Twitter. Instagram was the most used platform. The candidates often shared photos and videos with caption and hastag, commented on comments and Direct Message (DM), and used IG Story and IG TV to reach out their followers. They often also searched and explored the potential persons or teams to be recruited as campaign team through social media. And also, they used social media to investigate their competitors’ activities.
IMPLEMENTASI MODEL PEMBELAJARAN DARING PADA PEMBELAJARAN TEMATIK DI MASA PANDEMI KELAS IV SD NEGERI 001 BATU PUTIH
Authors: Elsawa Vira Erlina, Sukriadi , La Djangka , Rahmat Nur Muhlis, 
Published: April 2022

Tujuan penelitian ini, yaitu 1). Untuk mengetahui bagaimana mengimplementasikan model pembelajaran daring pada pembelajaran tematik. 2). Untuk mengetahui Faktor apa saja yang menjadi penghambat implementasi pembelajaran daring pada pembelajaran tematik. 3). Faktor apa saja yang menjadi pendukung dalam proses pembelajaran daring pada pembelajaran tematik pada masa pandemic covid-19 di kelas IV SD Negeri 001 Batu Putih. Penelitian ini merupakan penelitian kualitatif dengan teknik analisis deskriptif. Analisis data hasil penelitian diperoleh dari proses mencari dan menyusun secara sistematis, data yang diperoleh dari hasil observasi, wawancara dan lapangan yaitu pengumpulan data, reduksi data, penyajian data, kesimpulan dan verifikasi. Hasil penelitian menunjukkan bahwa, 1). Implementasi model pembelajaran daring pada kelas IV yaitu dengan memanfaatkan beberapa aplikasi yaitu, Whatsapp dan Kine master, evaluasi lembar kerja tertulis yang dapat dikumpulkan langsung ke sekolah. 2). Faktor penghambat dalam implementasi pembelajaran daring yaitu, kurangnya efektifitas dan efisiensi waktu, minimnya antusias siswa dan minimnya siswa akan pemahaman materi. 3). Faktor pendukung pembelajaran daring yaitu, sekolah memfasilitasi kuota untuk guru di sekolah, dan kuota internet gratis diberikan kepada siswa.
Community Services and Social Involvement in COVID-19 Governance in Urban China
Authors: Ding JianWen , Xu Jia , Weise Thomas , Wang Huan 
Published: April 2022

Abstract
Background: This study explores how the services provided by different types of Chinese communities varied in their impact on the social involvement of their residents during the COVID-19 pandemic. Previous research has shown that services in traditional Chinese communities have supported pandemic governance because of their human resource advantages. However, we argue that the services provided by intelligent communities not only adhered to COVID-19 pandemic governance but also promoted the social involvement of the residents.Methods: Using a case study approach of the intelligent community Fang Xing and the traditional community Qili Tang, both located in Hefei city in Anhui, China, this article compares traditional and intelligent Chinese community services. We conducted 42 in-person interviews (21 residents, 10 volunteers, 11 staff members), 30 telephone interviews (10 residents, 10 volunteers, 10 staff members), and 50 online video interviews (30 residents, 10 volunteers, 10 staff members) from June to August 2020.Results: The findings suggest that while the traditional community decreased its residents’ social involvement by restricting certain services during the pandemic, the intelligent community was able to apply COVID-19 governance measures without restricting its residents’ social involvement. In the traditional community, family members were obliged to take responsibility for daily living services and family care tasks. This community often responded slowly when providing required services compared to intelligent communities. The intelligent community contributed greatly to its residents’ social involvement in the process of pandemic governance. It offered an attractive option for residents to act as community service managers and prepared its residents for local-level pandemic governance.Conclusions: This study provides a better understanding of the relationship between community services and residents’ social involvement in terms of the different dimensions of community services. The intelligent community model can act as a reference for international community development during health emergencies.
Study on spatial distribution characteristics based on fire spot data in northern China
Authors: Tian Yuping , Wu Zechuan , Wang Bin , Bian Shaojie , Zhang Xiaodi , Li Mingze 
Published: April 2022

Abstract

Forest fires are an important disturbance in forest ecosystems and seriously affect the structure and function of forests. The northern region of China (Heilongjiang, Jilin, Liaoning and Hebei Provinces) is one of these important forest ecosystems in China. This paper analyzes the characteristics of forest fires in northern China in 2020 and 2021 based on the monitoring of historical remote sensing products. Combining the causes associated with time and location, this study explores the spatial and temporal distribution patterns of forest fires to provide a strong scientific basis for forest fire prevention and management. The number of monthly forest fires in the northern region in 2020 and 2021 was counted to obtain seasonal and interannual forest fire variation. The results show that the number of forest fires occurring in Heilongjiang, Jilin and Liaoning Provinces in 2021 is smaller than that in 2020. The occurrence of forest fires is mainly concentrated in spring and autumn, especially in April and October. The number of forest fires that occurred in Hebei Province in 2020 and 2021 was almost the same, showing a slight increase in trend, especially with more growth in February. It is worth noting that Heilongjiang Province is the region with the highest number of forest fires, regardless of the comparison of the total number of forest fires in two years or from the number of forest fires in a single year. Spatial clustering analysis (Ripley's K) was used to analyze the spatial distribution pattern of forest fires in each province of northern China, and the results showed that forest fires were significantly aggregated in all four provinces. Based on this, the hotspot areas of forest fires occurring in four provinces during 2020 and 2021 were obtained based on the kernel density estimation method. The experimental analysis conducted in this paper can provide local forest managers and firefighting agencies with the opportunity to better plan fighting of fires and improve forest management effectiveness. Based on mastering the characteristics of the spatial and temporal dynamics of forest fires, fire prevention publicity and education should be strengthened, and scientific forest fire prevention measures should be applied to plan reasonable forest protection policies.
Evaluation of genetic models for COD and TSS estimation in wastewater through its spectrophotometric response
Authors: Carreres-Prieto Daniel , Ybarra-Moreno Javier , García Juan T. , Cerdán-Cartagena Fernando 
Published: April 2022

Abstract
In an urban wastewater treatment plant (WWTP), early knowledge of the pollutant load levels throughout the plant is key to optimize its processes and achieve better purification levels. Molecular spectrophotometry has begun to gain prominence in this wastewater characterization process, as it is a simple, fast, inexpensive and non-invasive technique. In this research work, different mathematical models based on genetic algorithms have been developed for the estimation of chemical oxygen demand (COD) and total suspended solids (TSS) from the spectral response of the samples, measured in the 380–700 nm range by means of a light-emitting diode (LED) spectrophotometer developed by the researchers. A field campaign was carried out in Mapocho-Trebal WWTP (Chile), where 550 samples were obtained in three different parts of the plant: at the inlet (raw wastewater), at the outlet (secondary treated wastewater) and at the outlet of the primary clarifier. A total of 18 estimation models have been calculated by mean of HeuristicLab software, which have presented a high accuracy, with a Pearson's coefficient between 80 and 90% in most cases. In order to achieve the most accurate models possible to characterize each part of the plant, specific models have also been developed, as well as combined models that are valid for all types of wastewater.
Biological treatment of real textile wastewater containing sulphate, salinity, and surfactant through an anaerobic–aerobic system
Authors: Araújo Sofia , Damianovic Márcia , Foresti Eugenio , Florencio Lourdinha , Kato Mario Takayuki , Gavazza Sávia 
Published: April 2022

Abstract
Real textile wastewater containing high salinity (up to 12.6 g·kg−1) and surfactant (up to 5.9 mg·L−1 of linear alkylbenzene sulfonate – LAS) was submitted to biological treatment for colour (up to 652 mg Pt-Co·L−1) and sulphate (up to 1,568.6 mg SO4−2·L−1) removal. The influence of ethanol and molasses supplementation was firstly evaluated in anaerobic batch reactors for the removal of dyes and sulphate. Subsequently, aiming to remove aromatic amines (dye degradation by-products), an anaerobic–aerobic continuous system supplemented with molasses was applied. Supplementation had no influence on colour removal (maximum efficiencies around 70%), while it improved sulphate reduction (23% without supplementation against 87% with supplementation), and conferred robustness to the reactors, which recovered quickly after higher salinity impact. The aerobic reactor removed aromatic amines when the level of surfactants was lower than 1.0 mg LAS·L−1, but the performance of the system was hindered when the concentration was increased to 5.9 mg LAS·L−1. Findings suggest that the supplementation of an easily biodegradable organic matter might be a strategy to overcome wastewater fluctuation in composition.
A Review of Multifunction Smart Nanoparticle based Drug Delivery Systems
Authors: Fatima Hareem , Naz Muhammad Yasin , Shukrullah Shazia , Aslam Hira , Ullah Sami , Assiri Mohammed Ali 
Published: April 2022

Abstract:
Cancer nano-therapeutics are rapidly evolving and are often used to overcome a number of concerns
with traditional drug delivery methods, including non-specific drug targeting and distribution, low oral bioavailability,
and poor hydrophilicity. Modern nano-based targeting techniques have been developed as a result of
advances in nano vehicle engineering and materials science, which may bring people with cancer a new hope.
Clinical trials have been authorized for a number of medicinal nanocarriers. Nanocarriers with the best feasible
size and surface attributes have been developed to optimize biodistribution and increase blood circulation duration.
Nanotherapeutics can carry preloaded active medicine towards cancerous cells by preferentially leveraging
the specific physiopathology of malignancies. In contrast to passive targeting, active targeting strategies involving
antigens or ligands, developed against specific tumor sites, boost the selectivity of these curative nanovehicles.
Another barrier that nanoparticles may resolve or lessen is drug resistance. Multifunctional and complex
nanoparticles are currently being explored and are predicted to usher in a new era of nanoparticles that will
allow for more individualized and customized cancer therapy. The potential prospects and opportunities of
stimuli-triggered nanosystems in therapeutic trials are also explored in this review.
Progressive Application of Marine Biomaterials in Targeted Cancer Nanotherapeutics
Authors: Muthukaliannan Gothandam Kodiveri , Indrakumar Janani , Sankar Srivarshini , Madhyastha Harishkumar 
Published: April 2022

Abstract:
The marine microenvironment harbors many unique species of organisms that produce a plethora of
compounds that help mankind cure a wide range of diseases. The diversity of products from the ocean bed
serves as potentially healing materials and inert vehicles carrying the drug of interest to the target site. Several
composites still lay undiscovered under the blue canopy, which can provide treatment for untreated diseases
that keep haunting the earth periodically. Cancer is one such disease that has been of interest to several eminent
scientists worldwide due to the heterogenic complexity involved in the disease's pathophysiology. Due to extensive
globalization and environmental changes, cancer has become a lifestyle disease continuously increasing
exponentially in the current decade. This ailment requires a definite remedy that treats by causing minimal
damage to the body's normal cells. The application of nanotechnology in medicine has opened up new avenues
of research in targeted therapeutics due to their highly malleable characteristics. Marine waters contain an immense
ionic environment that succors the production of distinct nanomaterials with exceptional character,
yielding highly flexible molecules to modify, thus facilitating the engineering of targeted biomolecules. This
review provides a short insight into an array of marine biomolecules that can be probed into cancer nanotherapeutics
sparing healthy cells.
Dynamics of Ubiquitination in Differentiation and Dedifferentiation of Pancreatic β-cells: Putative Target for Diabetes
Authors: Kumar Anujith , Francis Meenal , Bhaskar Smitha , Vishnuvajhala Sreya , Prasanna Jyothi 
Published: April 2022

Abstract:
Impairment in the function of insulin-producing pancreatic β-cells is a hallmark of both type
1 and 2 diabetes (T1D/T2D). Despite over a century of effort, there is still no precise treatment regimen
available for acute diabetes. Enhancing the endogenous β-cells either by protecting them from
apoptosis or dedifferentiation is a classic alternative to retaining the β-cell pool. Recent reports have
acknowledged the protein homeostasis mediated by the ubiquitin-proteasome system as one of the essential
components in maintaining the β-cell pool. Degradation of the targeted substrate by the proteasome
is majorly regulated by the ubiquitination status of the targeted protein dictated by E3 ligases
and deubiquitinase enzymes. Imbalance in the function of these enzymes results in the malfunction of
β-cells and, subsequently, hyperglycemia. Ubiquitination involves the covalent attachment of one or
more ubiquitin moieties to the target protein by E3 ubiquitin ligases and deubiquitinases (DUBs) are
the enzymes that antagonize the action of E3 ligases. Knowing different E3 ligases and deubiquitinases
in the process of differentiation and dedifferentiation of β-cells probably paves the way for designing
novel modulators that enhance either the differentiation or abate the dedifferentiation process.
In this review, we will discuss the importance of the balanced ubiquitination process, an understanding
of which would facilitate the restraining of β-cells from exhaustion.
Maternal Metabolic Health, Lifestyle, and Environment – Understanding
How Epigenetics Drives Future Offspring Health
Authors: Schwartz Stanley S. , Amrom Dalia 
Published: April 2022

Abstract:
The incidence of metabolic disorders, such as obesity and type two diabetes (T2DM),
continues to increase worldwide, and their onset is often attributed to adherence to a western diet
and a sedentary lifestyle. However, large variability exists in one's likelihood of developing metabolic
dysregulation, illustrating that our understanding of heritability patterns remains poorly understood.
Diabetes and obesity are multifactorial diseases, and their onset is influenced by both genetic
and environmental factors. Genome-wide association studies report a number of alterations in
the coding sequence associated with the onset of T2DM and obesity. However, these genes explain
only a fraction of the cases, leaving the majority unaccounted for. The missing heritability question
implies that other factors are responsible for the onset and development of the disease. Given that
the developing fetus is susceptible to the maternal environment, a growing body of evidence
demonstrates that maternal metabolic characteristics as well as disruptions to the prenatal environment
may induce long-term genetic, phenotypic, and physiologic adaptations in the developing fetus,
which could have a permanent effect on its future health. This phenomenon is known as developmental
programming and is mediated through epigenetic modifications, which include modulation
of gene expressions that do not alter the original deoxyribonucleic (DNA) sequence. Epigenetic
modifications are capable of changing gene expression in metabolism-related genes and are accomplished
through DNA methylation, histone acetylation, and ribonucleic acid (RNA) mechanisms.
In this review, we discuss maternal metabolic factors, such as obesity, dyslipidemia, and
gestational diabetes (GDM) that lead to epigenetic changes in the offspring and predispose future
generations to metabolic abnormalities. We will also describe the association between maternal
lifestyle factors and exposure to toxins with epigenetic modulations in the offspring. Lastly, we
will provide a brief review of the possibility of using epigenetics as potential interventions and
therapeutic modalities to help in early diagnosis and prevention of metabolic disorders.
The Effectiveness of a Mobile Health Care App and Human Coaching Program in Primary Care Clinics: Pilot Multicenter Real-World Study
Authors: Ju HyoRim , Kang EunKyo , Kim YoungIn , Ko HyunYoung , Cho Belong 
Published: April 2022

Background
As the global burden of chronic conditions increases, their effective management is a concern. Although the need for chronic disease management using mobile self-management health care apps is increasing, there are still many barriers to their practical application in the primary care field.

Objective
This study evaluated the effectiveness of primary care services combining a mobile self-management health care app with human coaching for patients with chronic diseases in the current primary care system.

Methods
A total of 110 patients (mean age 53.2, SD 9.2 years; 64 of 110, 58.2% female) with hypertension, diabetes, dyslipidemia, or metabolic syndrome who visited one of 17 participating primary care clinics from September to November 2020 were included in this study. All participants recorded data regarding changes in body weight, sleep conditions, quality of life, depression, anxiety, stress, BMI, waist circumference, blood sugar levels, blood pressure, and blood lipids levels. The app user group (n=65) used a mobile self-management health care app with human coaching for 12 weeks, and the control group (n=45) underwent conventional self-managed health care.

Results
Patients in the app user group reported significantly more weight loss than those in the control group—the body weight of the app user group decreased by 1.43 kg (95% CI –2.07 to –0.79) and that of the control group decreased by 0.13 kg (95% CI –0.67 to 0.41; P=.002). The weight loss was markedly greater after using the app for 9 weeks than that when used for 4 weeks or 5-8 weeks (P=.002). Patients in the app user group reported better sleep quality (P=.04) and duration (P=.004) than those in the control group.

Conclusions
The combination of primary care clinics and a mobile self-management health care app with human coaching results in better management of chronic conditions. This study shows that the primary care services combining a mobile self-management health care app with human coaching are effective in the current primary care system. An implication of this study is the possibility that a mobile self-management health care app with human coaching is a treatment option in the current primary care system.
The Impact of IFRS on the Use of Private Debt Covenants: International Evidence
Authors: Li Jingduan , Lim Youngdeok , Morris Richard D. 
Published: April 2022

ABSTRACT
We investigate changes to the use of private debt covenants following the mandatory adoption of IFRS globally. Using a difference-in-differences specification, we find a significant decrease in accounting-based debt covenants (mainly balance sheet covenants) in IFRS-adopting countries after IFRS adoption, but not in non-IFRS countries. The post-IFRS decrease in accounting-based debt covenants is greater in countries with low creditor rights or with high depth of credit information sharing. The decreases are greater in countries with high enforcement and/or large differences between IFRS and local GAAP. In contrast, the use of nonaccounting covenants does not change but other loan conditions tighten after IFRS adoption. IFRS also leads to increased technical violations of accounting-based debt covenants. Overall, our findings are consistent with IFRS reducing contractibility.