bluuebunny/crossref_metadata_2025 huggingface dataset:
Intensi Pembelian Tiket pada Aplikasi PT Kereta Api Indonesia
Authors:   Sekolah Bisnis dan Ekonomi, Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Sandadi Clara , Tang Venny ,   Sekolah Bisnis dan Ekonomi, Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Ratna Tercia Christiana Yosevina ,   Sekolah Bisnis dan Ekonomi, Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Sirad Dini Anggraeni ,   Sekolah Bisnis dan Ekonomi, Universitas Prasetiya Mulya, Kampus BSD, BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339
Published: October 2022

Dengan adanya perkembangan teknologi informasi dan komunikasi serta internet di masa kini, masyarakat luas dapat dengan mudah membeli produk dan/ jasa wisata yang mereka inginkan melalui perangkat dimanapun dan kapanpun mereka inginkan secara online tanpa harus mengunjungi toko agen perjalanan untuk membeli produk dan/ jasa wisata tersebut. Perusahaan pun sudah tidak perlu bergantung pada pihak ketiga dalam menyalurkan produk dan/ jasa mereka dan dapat langsung berkomunikasi dan menyampaikannya kepada konsumen. Tujuan dari penelitian adalah untuk mengetahui hal-hal apa saja yang mampu mempengaruhi intensi kaum Millennial menggunakan aplikasi KAI Access untuk membeli tiket kereta api melalui penelitian kuantitatif yang menggunakan Structural Equation Model (SEM) untuk menganalisis data. Hal penelitian yang didapatkan dari 149 sampel menunjukkan bahwa memiliki attitude/sikap yang positif merupakan hal terpenting untuk membentuk intensi tersebut dimana attitude/sikap kaum Millennial ini paling dipengaruhi oleh keinovasian. Temuan lainnya yang unik dalam penelitian ini adalah pengaruh negatif perceived believability terhadap attitude dan subjective norms yang mengindikasikan meskipun mereka percaya akan klaim atau penawaran yang ditawarkan PT KAI, hal ini tidak membuat mereka memiliki sikap yang positif terkait penggunaan aplikasi KAI Access dan orang-orang di sekitar mereka yang dianggap penting tidak mendorong mereka untuk menggunakan aplikasi KAI Access. Oleh karena itu, aplikasi KAI Access harus dirasakan cukup inovatif sehingga mereka memiliki sikap yang positif terkait penggunaan aplikasi KAI Access yang kemudian dapat memunculkan intensi yang positif juga.
Pengaruh Brand Story Telling dalam Pembentukan Brand Loyalty dan WOM pada Brand Socendate
Authors:   Universitas Prasetiya Mulya BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Indonesia., Kwandy Christabella Odelia , Nicholas Hans ,   Universitas Prasetiya Mulya BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Indonesia., Soehadi Agus W. ,   Universitas Prasetiya Mulya BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Indonesia., Utama Freddy ,   Universitas Prasetiya Mulya BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Indonesia., Saragih Harriman Samuel ,   Universitas Prasetiya Mulya BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Indonesia.
Published: October 2022

Perkembangan industri kosmetik di Indonesia dalam beberapa tahun belakangan ini mengalami peningkatan. Hal tersebut tergambar dari ekspor produk kosmetik Indonesia yang mencapai USD 600 juta, lebih tinggi jika dibandingkan dengan tahun 2018 yaitu sebesar USD 556,36 juta. Sampai tahun 2019, Indonesia tercatat memiliki 797 brand industri kosmetik besar dan industri kecil dan menengah (Larissa Huda, 2020). Oleh karena itu, industri kosmetik sangat menarik untuk dijadikan objek penelitian, khususnya untuk brand Secondate, yaitu brand kosmetik lokal yang menggunakan metode brand storytelling dalam kegiatan marketing-nya. Brand storytelling sendiri merupakan salah satu metode terkuat untuk menarik perhatian konsumen (Mossberg dan Johansen, 2006). Penelitian ini bertujuan untuk melihat seberapa besar pengaruh brand storytelling yang dapat mempengaruhi cognitive, sensory, dan affective associations yang kemudian berpengaruh pada brand love sebagai pembentukan brand loyalty dan word of mouth (WOM), khususnya untuk brand Secondate. Penelitian dilakukan secara kuantitatif melibatkan 249 responden yang merupakan konsumen Secondate, brand kosmetik lokal di Indonesia yang menggunakan teknik stortytelling dalam kegiatan aktivasi dan marketing-nya. Data yang didapatkan diuji menggunakan factor analysis dan structural equation model (SEM) di AMOS. Hasil penelitian ini menunjukkan adanya hubungan positif antara brand storytelling terhadap brand associations: cognitive, sensory, dan affective associations, yang mempengaruhi brand love sebagai faktor pembentukan brand loyalty dan word of mouth.
Eksplorasi Brand Associations Taman Hiburan di Masa Pandemi Covid-19
Authors:   Universitas Prasetiya Mulya BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Indonesia., Mahardika Remma Galang , Pangestu Silvia Putri ,   Universitas Prasetiya Mulya BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Indonesia.
Published: October 2022

Tujuan dari penelitian ini adalah mengidentifikasi brand associations yang muncul dari ulasan daring terkait pikiran, pendapat, dan perasaan pengunjung terhadap taman hiburan yang terkenal di Indonesia. Tujuan lanjutan dari penelitian ini adalah untuk melihat brand associations yang menonjol di dalam favorability yang ada untuk mengevaluasi objek penelitian. Teknik content analysis diaplikasikan menggunakan perangkat lunak NVivo 12 untuk mengolah data ulasan yang diekstraksi menggunakan Outscraper, sebuah pengunduh data otomatis. Alat ini kemudian mengekstraksi 1.164 data kualitatif dari Google Maps Review dalam bentuk ulasan yang kemudian digunakan sebagai data utama penelitian ini dalam rangka waktu pandemi COVID-19. Penelitian ini menemukan 363 asosiasi unik terkait objek penelitian dengan 3653 referensi yang terbagi atas 2185 positif, 755 negatif, 607 netral, dan 106 campuran. Berdasarkan analisis Pareto, penelitian ini juga menemukan 8 asosiasi menonjol, yang adalah 4 positif, 1 negatif, 2 netral, dan 1 campuran. Penelitian ini kemudian memberikan implikasi praktis berdasarkan temuan. Studi ini mengidentifikasi kemungkinan penggunaan ulasan tertulis yang tersedia secara daring sebagai pengganti metode pengambilan data yang intrusif seperti wawancara atau survei. Terlebih lagi, penelitian ini adalah salah satu studi yang menggunakan COVID-19 sebagai konteks penelitian untuk mengevaluasi brand image dalam bentuk brand associations.
Eksplorasi Konsumsi Brand Join Kopi
Authors:   Universitas Prasetiya Mulya BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Indonesia., Sugiman Anthony Edward , Dwi Kurnia Samuel ,   Universitas Prasetiya Mulya BSD City Kavling Edutown I.1, Jl. BSD Raya Utama, BSD City, Kec. Pagedangan, Tangerang, Banten 15339, Indonesia.
Published: October 2022

Coffee consumption in Indonesia has seen significant improvement over the last 5 years, specifically – coffee shops and café. News showed that there are substantial increase in production and domestic consumption within the coffee industry. Coffee consumption are often related to the “nongkrong” culture which many Indonesian youths adopt. The term nongkrong is defined as a form of social activity in which at least 2 people are involved without any other purpose besides enjoying each others’ company. Regarding the activities carried out while consuming coffee, little is known about what consumption actually occurs. Facing a growing industry, it is necessary to have an in-depth understanding of consumer behavior and consumption that occurs in order to capitalize on these development opportunities. The purpose of this study is to explore coffee consumption through Holt’s typology (1995). The object of this research is JOIN Kopi, a modest coffee shop located within the Bulungan area, South Jakarta. The data collected are of qualitative nature, thus the use of in-depth interviews are in accord with exploring meaning and consumption. This study will be divided into 4 major themes; experience, integration, play, and classification, with various adjustments around the coffee industry, specifically coffee shop consumption. The study found expansions of meaning surrounding accounting and appreciating practices; the use of self-competence in assimilating practices, redefining producing practices; the addition of bonding practices along with expansions within the play metaphor, specifically socializing.
Az élelmiszervásárlási szokások átalakulása a Covid-19 első hullámában Romániában és Magyarországon
Authors: György Ottilia , Orbán Endre
Published: October 2022

A 2020-as COVID-19 járvány kitörése, a kialakuló gazdasági bizonytalanság, a csökkenő bizalom, a digitális megoldások és a home office következtében megváltozott a fogyasztói magatartás, ezen belül az élelmiszervásárlási szokások. Kutatásunk célja, hogy megvizsgáljuk az élelmiszer-vásárlási szokásokat a járvány kitörésének első hullámában, a járvány által okozott vásárlói döntéseket, illetve motivációkat két ország magyar nemzetiségű városi népességének körében. Jelen tanulmányban a járvány kezdetén, a kijárási tilalom idején végeztünk felmérést romániai magyar városi fogyasztók körében, valamint a magyarországi városi lakosság körében. A két hónapos időszak alatt több, mint 2000 kitöltött kérdőívet gyűjtöttünk össze.
Interventions to address unsafe child feces disposal practices in the Asia-Pacific region: a systematic review
Authors: Sprouse Lauren , Liles Anna , Cronk Ryan , Bauza Valerie , Tidwell James B. , Manga Musa
Published: October 2022

Despite clear evidence of the adverse health impacts of unsafe child feces disposal (CFD), there is little evidence of the effectiveness of interventions targeting the improvement of unsafe CFD practices in the Asia-Pacific region. A systematic review of the literature was conducted to identify and evaluate the quality of both behavior change and hardware interventions targeting the improvement of CFD practices in this region. A total of 695 articles were screened, and 15 studies were included. The combined hardware and behavior change interventions reported the highest rates of safe CFD (SCFD) post-intervention; however, these interventions were of lower quality. Four interventions focused specifically on improving SCFD practices, while the remaining seven studies evaluated the impacts of large-scale interventions, such as India's MANTRA and Total Sanitation Campaign programs, on unsafe CFD practices. Large-scale programs and hardware interventions are important for providing communities with the infrastructure necessary to improve unsafe CFD practices, but such interventions may be improved by the addition of a behavioral change component. With little evidence available on the effectiveness of behavioral interventions on reducing unsafe CFD in the Asia-Pacific region, future work should focus on how behavior change models combined with hardware interventions impact unsafe CFD.
Impact of climate change on groundwater recharge and salinity distribution in the Vientiane basin, Lao PDR
Authors: Soundala Pankham , Saraphirom Phayom
Published: October 2022

Groundwater is widely used for domestic, agricultural, and industrial purposes in the Vientiane basin. The trend of groundwater use is increasing but the usage of the mentioned groundwater is without proper study and monitoring. Six climatic scenarios from three General Circulation Models (GCMs) under Representative Concentration Pathways (RCPs) 4.5 and 8.5 were used to project rainfall and temperature in the future (2021–2050) periods. The numerical models HELP3, MODFLOW, and MT3D were used for groundwater recharge estimation, groundwater potential, and salinity distribution, respectively. The study found that during the following 30 years (2050), rainfall is expected to rise by 16, 17.52, and 49.93% for the MPI-ESM-MR, MIROC5, and CNRM-CM5 (under RCPs 4.5 and 8.5), respectively. Groundwater recharge is estimated to rise from baseline throughout all future climate conditions. Climate change's impact on salinity distribution in depth aquifers, the area with the water with the TDS between 500 and 1,500 mg/l will tend to decrease, whereas the freshwater (TDS <500 mg/l) area will tend to increase. Annual groundwater replenishment is expected to increase from current levels in all future climate scenarios in the range of 334–401 MCM/year or approximately 22.7–47.5%.
Assessment of the impact of climate change on urban flooding: A case study of Beijing, China
Authors: Ding XingChen , Liao WeiHong , Lei XiaoHui , Wang Hao , Yang JiaLi , Wang Hao
Published: October 2022

Global climate change and rapid urbanization increase the risk of urban flooding, especially in China. Climate change and the ‘heat island effect’ have increased the frequency of extreme precipitation. Affected by the backwardness of drainage facilities and the lack of drainage capacity, many cities have experienced large-scale waterlogging in low-lying areas, and ocean-like phenomena appear in cities. The public infrastructure was damaged and caused a lot of economic losses. Therefore, it is important to investigate the adaptability of drainage systems to the future in a changing environment. The Sixth International Coupled Model Intercomparison Project (CMIP6) and Storm Water Management Model (SWMM) were used to quantify the impact of climate change on Beijing's waterlogging under different rainstorm scenarios for the future 40 years. The quantile delta mapping method of daily precipitation based on frequency (DFQDM) is proposed to correct the daily precipitation of the climate model and which is proved to be feasible. After the annual precipitation and extreme precipitation index are corrected, percent bias (PBIAS) is significantly reduced. The PBIAS of the extreme precipitation index of the corrected model is all controlled within 6%. The corrected accuracy of CanESM5 is the best. The total flood volume (TFV) of the node increases with the aggravation of climate change. The TFV of SSP5-8.5 and SSP2-4.5 increased by 45.43 and 20.8% in the 100-year return period, respectively, and more than 94% of the conduits reached the maximum drainage capacity in different return periods. After the low impact development (LID) was installed, the improvement effect on the outflow with a smaller return period was significant, decreasing by about 50%. The LID can effectively reduce the overflow of the drainage system. The results of this study can provide suggestions for the reconstruction of the drainage system and the management of flood risk for Beijing in the future.
Research on the optimization of cooperative advertising strategy in the promotion of water-saving products based on differential game
Authors: Du Peijie , Zhang Shujing , Wang Han , Wang Yanrong
Published: October 2022

The promotion of water-saving products is one of the vital ways to implement water conservation action, and advertising is a significant way to promote water-saving products. Taking the two-level Supply Chain consisting of a leading manufacturer and a retailer as an example and considering the advertising cost-sharing ratio of the two, as well as the government's R&D subsidies to manufacturers and product subsidies to consumers, this study establishes differential game models in three cases, that is, non-cooperative contract without cost sharing, cooperative contract with cost sharing, and collaborative cooperation contract. Also, numerical simulation is adopted to analyze the sensitivity of important parameters. The results show that the product goodwill and market demand for water-saving products can achieve Pareto optimality under the collaborative cooperation contract. In addition, the cooperative contract with cost sharing can realize Pareto improvement of the optimal benefit of the Supply Chain under certain conditions. Moreover, in the absence of the government's R&D subsidies, the overall benefits can achieve Pareto optimality under the collaborative cooperation contract. This study provides theoretical guidance and reference for the advertising cooperation strategy for the main bodies in the Supply Chain.
Predictive modelling physico-chemical properties groundwater in coastal plain area of Vinh Linh and Gio Linh districts of Quang Tri Province, Vietnam
Authors: Nguyen Hong Giang , Tran Dinh Hieu , Hoang Ngo Tu Do , Nguyen Tien Thinh
Published: October 2022

This paper presents to study the performance of machine learning techniques consisting of multivariate adaptive regression spline (MARS), feed forward neural network-back propagation (FFNN-BP), and decision tree regression (DTR) for estimating the physico-chemical properties of groundwater in the coastal plain area in Vinh Linh and Gio Linh districts of Quang Tri province of Vietnam. With 290 groundwater samples collected in two districts, this study has identified three main elements CO2, Ca, CaCO3 for simulation. Quantitative analysis results have shown that these three components are such as CaCO3 with from 0 to 25.8 mg/l, Ca from 0 to 87.55 mg/l and CO2 from 0 to 12 mg/l. In the present examination, groundwater quality index (GQI) values and their representative categories have been referred by the Vietnam Groundwater Standard (QCVN01). Furthermore, the statistical accuracy parameters were used to compare among models. To deploy FFNN-BP and DTR, different types of transfer and kernel functions were tested, respectively. Determining the results of MARS, FFNN-BP and DTR showed that three models have suitable carrying out for forecasting water quality components. Comparison of outcomes of MARS model with the FFNN-BP and DTR models indicated that this model has good performance for forecasting the elements of water quality, its level of accuracy was slightly more than the other. To assess the accurate values of the models according to the measurement parameters for training phase illustrated that the order of the models was MARS to give the best result, followed by DTR and finally FFNN-BP, respectively.
Understanding short-term organic matter fluctuations to optimize drinking water treatment
Authors: Klante Clemens , Hägg Kristofer , Larson Magnus
Published: October 2022

Increases in organic content and the resulting browning of freshwater are a current and growing challenge for the ecology of these waters, leading to the need for more efforts in drinking water production. This study investigated the implications of short-term changes in the water quality from Lake Bolmen on the treatment process at the downstream located at the Ringsjö water treatment plant. The main objective was to understand short-term organic matter fluctuations to efficiently manage drinking water treatment. The ability to make predictions about expected raw water quality based on variations in the watershed and upstream waters facilitates optimal adjustment of drinking water treatment processes. Key elements in the water supply system studied included a tunnel and pipeline system and a sub-basin of Lake Bolmen. A wealth of data were available for the analysis to establish temporal and spatial properties of the water quality in the system and its dependence on the governing factors. The main factors controlling water quality were identified, both regarding the transport in the tunnel and through the sub-basin, including surface runoff, hydrodynamic properties, sedimentation, resuspension, and biomass availability. Although a particular case was investigated, the study has implications for improving drinking water treatment.
Öğretmenlerin Algılarına Göre Örgütsel İkiyüzlülük, Örgütsel Vatandaşlık ve Motivasyon Arasındaki İlişki Üzerine Bir İnceleme
Authors: BUYRUK AKIL Yeşim , YALÇIN Sinan
Published: October 2022

Bu çalışmada öğretmenlerin algılarına göre örgütsel ikiyüzlülük, örgütsel vatandaşlık ve motivasyon arasındaki ilişki incelenmiştir. Araştırma nicel araştırma yönteminde ilişkisel tarama modelinde tasarlanmıştır. Araştırma evrenini, 2020-2021 eğitim öğretim yılı içerisinde Erzincan İl merkezinde görev yapan anaokulu, ilkokul, ortaokul ve lise öğretmenleri oluşturmaktadır. Araştırma örneklemini ise basit tesadüfi örnekleme yöntemiyle seçilen 195 öğretmen oluşturmaktadır. Araştırmada kullanılan veriler, salgın sebebiyle elektronik ortamda toplanarak elde edilmiştir. Araştırma verileri SPSS paket programıyla analiz edilmiştir. Veriler analiz edilmeden önce normal dağılım testine tabi tutulmuş ve verilerin normal dağılım gösterdiği görülmüştür. Verilerin analizinde ortalama, bağımsız gruplar t testi, tek yönlü anova, korelasyon analizi ve regresyon analizi yöntemleri kullanılmıştır. Araştırmadan elde edilen sonuçlara göre öğretmenlerin örgütsel ikiyüzlülük algıları düşük düzeyde çıkarken örgütsel vatandaşlık davranışı ve motivasyon algıları yüksek düzeyde çıkmıştır. Öğretmenlerin cinsiyet, medeni durum, görev yapılan okul türü ve kıdem değişkenine göre örgütsek ikiyüzlülük ve motivasyon algıları anlamlı bir farklılık göstermezken, öğretmenlerin örgütsel vatandaşlık algılarının sadece görev yapılan okul türü değişkenine göre anlamlı bir farklılık gösterdiği sonucuna ulaşılmıştır. Öğretmenlerin örgütsel ikiyüzlülük ile örgütsel vatandaşlık algıları ile örgütsel ikiyüzlülük ile motivasyon algıları arasında negatif yönlü orta düzeyde anlamlı bir ilişki, örgütsel vatandaşlık ile motivasyon algıları arasında pozitif yönlü yüksek düzeyde anlamlı bir ilişki olduğu söylenebilir. Araştırmadan elde edilen bir diğer sonuca göre öğretmenlerin örgütsel ikiyüzlülük ve motivasyon algılarının örgütsel vatandaşlık algılarının anlamlı bir yordayıcısı olduğu sonucuna ulaşılmıştır.
Melatonin in Reproductive Medicine: A Promising Therapeutic
Target?
Authors: Feng Xueqin , Zhang Yumeng , Li Na , Zhang Yingying , Zheng Qiutong , Sun Minya , Tang Jiaqi , Xu Zhice
Published: October 2022

Melatonin, mainly released from the pineal gland, also produced in the reproductive
organs and cells, plays important roles in rhythms of the sleep-wake cycle, retardation
of ageing processes, and antioxidant/anti-inflammatory functions. As a key mediator
in reproductive systems, melatonin is participated in the reproductive process via regulating
gamete and embryo development and influences reproductive diseases and pregnancy
outcomes. The underlying mechanisms include epigenetic and other regulations,
which are interesting for exploring new targets in the prevention and treatment of reproductive
diseases. This review discusses the relationship between melatonin and reproductive
functions and dysfunction, as well as potential clinical applications of melatonin in
reproductive medicine. Notably, Developmental Origins of Health and Diseases (DOHaD)
is closely linked to reproduction, this article is the first to review the new progress
in studies on the possible relationship between melatonin and DOHaD.
HDAC3 Impairs Cardiac Function in Chronic Heart Failure Rats via
Mediating MicroRNA-26b-3p to Target High Mobility Group
AT-Hook 2
Authors: Han Xinyuan , Wang Shunda , Yong Zhijun , Zhang Xueting , Wang Xuanqi , Sun Chaofeng
Published: October 2022

Background:

Histone deacetylase 3 (HDAC3) has been studied in chronic heart failure (CHF), while the regulatory mechanism of HDAC3 on the development of CHF though regulating microRNA (miR)-26b-3p/high mobility group AT-hook 2 (HMGA2) axis has not been extensively investigated. This study aimed to probe the effects of HDAC3, miR-26b-3p and HMGA2 on CHF.

Methods:

CHF rat models were established using aortic coarctation. Then the HDAC3, miR-26b-3p and HMGA2 levels in CHF rats were examined. Thereafter, the CHF rats were injected with relative oligonucleotides and plasmids of HDAC3, miR-26b-3p and HMGA2 to detect the cardiac function, inflammatory reaction, myocardial tissue pathological changes, and cardiomyocyte apoptosis. The binding relationship between miR-26b-3p and HMGA2 and the interaction between HDAC3 and miR-26b-3p were validated.

Results:

HDAC3 and HMGA2 were elevated while miR-26b-3p was decreased in CHF rats. The reduced HDAC3 or HMGA2 or enriched miR-26b-3p attenuated cardiac dysfunction, inflammatory reaction, myocardial tissue pathological changes and cardiomyocyte apoptosis in CHF rats, while the reduction of miR-26b-3p exerted the opposite effects. Furthermore, the inhibition of the miR-26b-3p or elevation of HMGA2 reversed the effect of reduced HDAC3 on mitigating CHF progression. Mechanically, miR-26b-3p targeted HMGA2 and HDAC3 bound to miR-26-3p.

Conclusion:

Downregulation of HDAC3 relieves cardiac function in CHF rats via mediating miR-26b-3p/HMGA2 axis. This study provides novel theory references and a distinct direction for the therapy strategies of CHF.
Nanoparticle-based CRISPR/Cas Delivery: An Emerging Tactic for
Cancer Therapy
Authors: Dilnawaz Fahima , Acharya Sarbari
Published: October 2022

Genome editing arose as a new promising approach for treating numerous intricate
ailm ents including cancer. Over the past couple of decades, delivery technologies
that have serendipitously been developed using viral vectors are successful to some extent
in protein and nucleic acid delivery but their effectiveness still lags due to their efficiency,
tissue targeting capabilities, and toxicity which must be further improved. With
the infiltration of nanotechnology into every sphere of life, nano-vehicles can be implemented
as an ideal modality that can overcome challenges, also can be introspective as
new genome editing tools for cancer therapy owing to the safety and efficiency in clinical
settings. Such projected substitution can help in developing highly efficacious therapy
regimes which are successful in clinical settings. This emerging approach of incorporation
of genome editors (CRISPR/Cas) in different nano vehicles and their utility in targeting
various aspects of cancer therapy like treatment, diagnostics, modelling has been
comprehensively done in this review.
Potential for Novel Therapeutic Uses of Alpha Lipoic Acid
Authors: Fasipe Babatunde , Faria Andre , Laher Ismail
Published: October 2022

Alpha-lipoic acid (ALA) is a potent antioxidant used in the management of diabetic
neuropathy due to its ability to prevent neuronal lipid peroxidation. ALA also chelates
transition metals, which can be beneficial in some diseases related to metal overload.
Due to its unique antioxidant properties, ALA has potential novel applications in
other diseases related to oxidative stress and inflammation. This review summarizes aspects
of recent clinical trials and describes the uses of ALA in managing neuropathies.
The unique pharmacological actions of ALA, coupled with relatively low toxicity, have
led to several trials on the potential therapeutic uses of ALA in the management of diseases
associated with increased oxidative stress, inflammation, and metal overload.
Novel Anti-Pseudomonas Cephalosporins
Authors: Chang M.H. , Koh H.Y. , Cho Y.S. , Choi K.I.
Published: October 2022

Since the catechol type cephalosporins having a potent activity against P. aeruginosa strain were introduced, many kinds of derivatives have been developed. These cephalosporins adopted various substituents as siderophores such as catechol or pyridone type derivatives at C-7 or C-3 position to facilitate their penetration through the bacterial cell membrane. In this review, the structural specifications of the recently developed cephalosporins and their biological activity against P. aeruginosa bacterial strain would be overviewed.
Antiviral Nucleosides
Authors: Storer Richard , Mansour Tarek S.
Published: October 2022

This article provides an overview of the field of nucleoside antiviral agents in so far as they have some level of current interest. It considers compounds in a number of structural classes: conventional nucleoside analogues, acyclics, carbocyclics, thio, heterosubstituted and those having "unnatural" L stereochemistry. In addition, it deals with important derivative subclasses such as phosphonate mimics of nucleotides. We indicate the current•status of leading compounds, which in many cases is clinical evaluation, and position with regard to licensing, and reflect the current level and style of activities within each particular class.
Our other major objective has been to incorporate a review of the major publications appearing in the last two years in the area of antiviral nucleosides. This includes both biological and clinical studies as well as the more significant advances in synthetic approaches to compounds in all classes. We refer extensively throughout to other relevant review articles which have covered particular areas -of investigation or have dealt in depth with a single compound.
Advances in Anti-metabolic Disease Treatments Targeting CD47
Authors: Wu Yonggui , Gao Li , He Zhe
Published: October 2022

Metabolic disorders include a cluster of conditions that result from hyperglycemia, hyperlipidemia, insulin resistance, obesity, and hepatic steatosis, which cause the dysfunction of immune cells and innate cells such as macrophages, natural killer cells, vascular endothelial cells, hepatocytes, and human kidney tubular epithelial cells. Besides targeting the derangements in lipid metabolism, therapeutic modulations to regulate abnormal responses in the immune system and innate cell dysfunctions may prove to be promising strategies in the management of metabolic diseases. In recent years, several targets have been explored for CD47 molecule (CD47), a glycosylated protein, which was originally reported to transmit an anti-phagocytic signal known as “don’t eat me” in the atherosclerotic environment, hindering the efferocytosis of immune cells and promoting arterial plaque accumulation. Subsequently, the role of CD47 has been explored in obesity, fatty liver, and lipotoxic nephropathy and its utility as a therapeutic target has been investigated using anti-CD47 antibodies or inhibitors of the THBS1/CD47 axis and the CD47/SIRPα signaling pathway. This review summarizes the mechanisms of action of CD47 in different cell types during metabolic diseases and the clinical research progress to date, providing a reference for the comprehensive targeting of CD47 to treat metabolic diseases and the devising of potential improvements to possible side effects.
Discovery of Resveratrol and its Derivatives as Novel Antiviral and Anti-
Phytopathogenic-Fungus Agents
Authors: Yu Xiuling , Feng Feng , Wang Qingmin , Xia Zongwei , Song Pengfei , Yang Wenqiang , Wang Jiacai
Published: October 2022

Background:

Plant diseases caused by viruses and pathogens have posed a serious threat to
global agricultural production and are difficult to control. Natural products have always been a valuable
source for lead discovery in medicinal and agricultural chemistry. The natural product resveratrol was
found to have good antiviral activity against the tobacco mosaic virus (TMV) and fungicidal activities
against 14 kinds of phytopathogenic fungi.

Objective:

The aim of this work was to design, synthesize a series of derivatives of resveratrol, and
evaluate their antiviral and fungicidal activities systematically.

Method:

Novel resveratrol sulfonate derivatives were prepared by a convenient synthesis method from
resveratrol, alkyl sulfonyl chloride, aryl sulfonyl chloride, and heterocyclic sulfonyl chloride. Their
structures were also identified by nuclear magnetic resonance (NMR) spectroscopy and high-resolution
mass spectrometry (HRMS).

Results:

Most of the targets were obtained at a high yield. Compounds I-2, I-5, I-10, II-2, and II-4, with
excellent antiviral activities, showed higher anti-TMV activities than those of lead compounds and
commercial ribavirin (inhibitory rates of 38, 37, and 38% at 500 μg/mL for inactivation, curative, and
protection activities in vivo, respectively). In particular, compounds I-5, I-10, II-2, and II-4 displayed
similar inhibitory effects as ningnanmycin (inhibitory rates of 54, 56, and 58% at 500 μg/mL for inactivation,
curative, and protection activities in vivo, respectively), the best antiviral agent at present,
thereby emerging as new antiviral pilot compounds. Further fungicidal activity tests showed that
resveratrol derivatives also displayed broad-spectrum fungicidal activities.

Conclusion:

The anti-TMV activities of these compounds were discovered for the first time. Some of
these simply structured compounds showed higher TMV inhibitory effects than ribavirin. The current
study provided valuable insights into the antiviral and fungicidal activities of resveratrol derivatives,
but more modification of the structure should be conducted.
Overview of Inorganic Nanoparticles: An Expanding Horizon in Tumor
Therapeutics
Authors: Kumar Lalit , Verma Shivani , Utreja Puneet , Kumar Dinesh
Published: October 2022

Background:

Cancer is characterized by uncontrolled cell division in the human body
damaging normal tissues. There are almost a hundred types of cancers studied to date that are conventionally
treated with chemotherapy, radiation therapy, and surgery. Conventional methods have
drawbacks like non-specific distribution of drugs, low concentration of drugs in tumors, and adverse
effects like cardiotoxicity. Therefore, inorganic nanoparticles are explored nowadays to
achieve better results in cancer treatment.

Objective:

The objective of this review paper was to summarize the role of inorganic nanoparticles
in cancer treatment by revealing their preclinical status and patents.

Methods:

Literature survey for the present work was conducted by exploring various search engines
like PubMed, Google Scholar, and Google patents.

Results:

Inorganic nanoparticles come under the advanced category of nanomedicine explored in
cancer therapeutics. The structural properties of inorganic nanoparticles make them excellent candidates
for targeting, imaging, and eradication of cancer cells. Besides this, they also show high
biocompatibility and minimum systemic toxicity.

Conclusion:

This review paper concludes that inorganic nanoparticles may be better alternatives
to conventional approaches for the treatment of cancer. However, their presence in global pharmaceutical
markets will be governed by the development of novel scale-up techniques and clinical
evaluation.
Neuroprotective and Anti-Inflammatory Effects of Pioglitazone on
Parkinson's Disease: A Comprehensive Narrative Review of Clinical and
Experimental Findings
Authors: Zamanian Mohammad Yassin , Terefe Ermias Mergia , Taheri Niloofar , Kujawska Małgorzata , Tork Yekta Jahedi , Abdelbasset Walid Kamal , Shoukat Shehla , Catalan Opulencia Maria Jade , Heidari Mahsa , Alesaeidi Samira
Published: October 2022

Parkinson's disease (PD) is a chronic and progressive neurological disorder characterized by
the degeneration of dopaminergic neurons in the substantia nigra pars compacta (SNc). The pathogenesis
of PD is strongly related to mitochondrial dysfunction, oxidative stress, and neuroinflammation.
This indicates that PD can be treated with anti-oxidative substitutes and anti-inflammatory compounds.
The neuroprotective and anti-inflammatory effects of peroxisome proliferator-activated receptor
γ (PPAR-γ) agonists decrease cell death and halt the increase in neurodegeneration, which is why
they have been given a lot of importance in research. Antidiabetic and anti-inflammatory effects have
been observed to be generated by pioglitazone (PG), a selective peroxisome proliferator-activated receptor
γ (PPAR-γ) agonist that regulates neural plasticity in various neurodegenerative disorders. The
neuroprotective and anti-inflammatory effects of PG are assessed in this article. It was found that the
patients with DM who received PG treatment were noticeably at a lower risk of PD. However, some
clinical studies have not proven a strong link between the therapeutic effects of PG on PD. As per
suggestions of preclinical studies, the therapeutic effects of PG treatment include; increased life expectancy
of neurons, decreased oxidative stress, halted microglial activity, lower inflammation (reduced
NF-κB, COX-2, and iNOS), reduced mitochondrial dysfunction, rise in motor function (motor agility)
and non-motor function (lowered cognitive dysfunction). In conclusion, we determined that PG exerts
neuroprotective and anti-inflammatory effects in PD models and it can be considered a potential therapeutic
candidate for PD.
The Protective Role of L-carnitine on Psychosocial Stress-induced Changes in Gene Expression and Protein Levels of Matrix Metalloproteinases, Serum Corticosterone in a Rat Model
Authors: Rababa’h Suzie Y. , Alzoubi Karem H. , Hammad Hana , AlQuraan Laiali , Rababa’h Abeer M.
Published: October 2022

Background:

Psychosocial stress (STS) is a common stress in modern societies. Chronic STS is associated with the impairment of a broad range of cognitive functions in humans and with prolonged abnormalities in memory. Matrix metalloproteinases (MMPs), a protein family of zinccontaining endopeptidases, are essential in neuro-inflammation and involved in neurodegenerative diseases. L-Car possessed neuroprotective, antioxidant, and anti-inflammatory properties and was shown to modulate MMPs.

Objective:

The current study aimed to examine the protective effect of L-Carnitine (L-CAR) on STSinduced changes in serum corticosterone levels, MMP-2, -9, and -12 protein and mRNA expression in the hippocampus as a possible mechanism for L-CAR protective effect on STS-induced memory impairment.

Methods:

The chronic STS and L-CAR (300 mg/kg/day, i.p) were simultaneously administered for 6 weeks to adult male Wistar rats. Serum corticosterone and protein levels of MMP-2, -9 and -12 were evaluated using ELISA. Real-Time PCR techniques were used to determine the mRNA levels of MMP-2, -9 and -12 in the hippocampus.

Results:

The findings showed that serum corticosterone levels and MMP-2 and -9 protein levels were significantly increased (p<0.05) in the STS group compared to the control. Similarly, RT-PCR findings showed that the mRNA of those proteinases significantly increased (p<0.05) following the intruder method. On the other hand, the administration of L-CAR restored the alterations in corticosterone levels and MMPs gene and protein expression induced by chronic STS.

Conclusions:

STS induced elevations in corticosterone and MMP-2 and -9 levels in the hippocampus. L-CAR, on the other hand, exhibited protective effects against the STS-induced changes in MMP-2 and -9.
Assessment of the Erosive Potential of Mineral Waters in Bovine Dental Enamel
Authors: Xavier Gabriela Monteiro Barbosa , De Almeida Aila Silva , de Souza Bentes Alexandra Gabrielly , Sano Issae Sousa , Silva Cecy Martins , Araújo Jesuína Lamartine Nogueira
Published: October 2022

Background:

High intake of acidic foods and beverages has been often associated with the onset of dental erosive wear.

Objetive:

This study in vitro assessed the pH of different mineral waters marketed in Brazil and their effects on the properties and surface of dental enamel.

Methods:

Forty-eight bovine incisor specimens were divided into four groups (n=12): CG-control group, PeG-Perrier, PrG-Prata, and SLG-São Lourenço. The immersion cycles were performed after analysis of the pH of the waters, for 5 days (5 minutes in mineral water and 60 minutes in artificial saliva). Knoop micro-hardness was assessed by means of three indentations with a load of 50kgf for 15 seconds, and surface roughness with a cut off of 0.25mm. The data were analysed using Student's t-test, ANOVA, and Tukey test, with a significance level of 5%.

Results:

The groups of waters with lower pH (Perrier® and São Lourenço®) exhibited a reduction in Knoop micro-hardness (p<0.0001) and an increase in surface roughness (p=0.04 and p=0.004, respectively). The Prata water group did not exhibit significant changes in Knoop micro-hardness (p=0.07) and surface roughness (p=0.26).

Conclusion:

Mineral waters with a pH below the critical value can lead to a reduction in surface hardness and roughness in the bovine enamel.
Application of 3D Printing Technology in the Medical Field
Authors: Gao Bingwei , Zhao Hongjian , Yu Hongtao , Lin Yihan , Liu Jun , Wang Jiawei
Published: October 2022

Background:

3D printing technology is widely used, with its application majorly prevailing
in the medical field.

Objective:

In this paper, the applications of 3D printing technology in the medical field are classified
and summarized, and their characteristics are introduced.

Methods:

This paper mainly summarizes the contribution of 3D printing technology to the field of
medicine, as well as four applications of 3D printing technology in medicine, and also introduces
some examples of clinical application of 3D printing.

Results:

3D printing has proved to be an emerging art and a new innovation. It has a variety of different
medical applications. Because of its limitations, it is not routinely used in clinical practice. However,
it will be open to the public in the near future due to technological advances. It will provide new
opportunities for every healthcare provider and seeker, and it will become a modern technology for
innovative medical practices.

Conclusion:

3D printing technology has been significantly developed and applied to oral cavity, implants
and even human organs in the medical field，and shows a vigorous development trend. It is
believed that this technology will significantly benefit mankind in the future.
Convolutional Neural Network for Denoising Left Ventricle Magnetic Resonance Images
Authors: Farea Shaaf Zakarya , Mahadi Abdul Jamil Muhammad , Ambar Radzi , Abd Wahab Mohd Helmy
Published: October 2022

Medical image processing is critical in disease detection and prediction. For
example, they locate lesions and measure an organ's morphological structures.
Currently, cardiac magnetic resonance imaging (CMRI) plays an essential role in
cardiac motion tracking and analyzing regional and global heart functions with high
accuracy and reproducibility. Cardiac MRI datasets are images taken during the heart's
cardiac cycles. These datasets require expert labeling to accurately recognize features
and train neural networks to predict cardiac disease. Any erroneous prediction caused
by image impairment will impact patients' diagnostic decisions. As a result, image
preprocessing is used, including enhancement tools such as filtering and denoising.
This paper introduces a denoising algorithm that uses a convolution neural network
(CNN) to delineate left ventricle (LV) contours (endocardium and epicardium borders)
from MRI images. With only a small amount of training data from the EMIDEC
database, this network performs well for MRI image denoising.
Early Diabetic Retinopathy Detection Using Elevated Continuous Particle Swarm Optimization Clustering With Raspberry PI
Authors: Usharani Bhimavarapu
Published: October 2022

Diabetic retinopathy is a disease in an eye caused due to the diabetic
condition present in the person, resulting in blindness. Early diagnosis of the disease
prevents the progression of blindness. Microaneurysms are the significant symptoms of
the early detection of diabetic retinopathy and are initiated by dilating the thin blood
vessels. Microaneurysms are red lesions, which may be round and sometimes irregular
in shape. Generally, microaneurysms appear near the macula or close to the blood
vessel. The present study concentrates on detecting microaneurysms to detect diabetic
retinopathy in the early stage. This chapter utilizes the Particle Swarm Optimization
(PSO) algorithm to effectively segment the microaneurysms. The segmented
microaneurysm is analyzed using the measures of Entropy, Skewness, and Kurtosis.
The elevated PSO clustering gives high performance irrespective of image contrast.
The elevated continuous PSO clustering successfully detects microaneurysms and helps
diagnose diabetic retinopathy in the early stage in an efficient way. This work uses
digital image processing techniques and mainly concentrates on the effective detection
of microaneurysms. The results proved that the proposed approach improves
performance in the early detection of diabetic retinopathy.
A Bibliometric Analysis of Fault Prediction System using Machine Learning Techniques
Authors: Uppal Mudita , Gupta Deepali , Mehta Vaishali
Published: October 2022

Fault prediction in software is an important aspect to be considered in software development because it ensures reliability and the quality of a software product. A high-quality software product consists of a few numbers of faults and failures. Software fault prediction (SFP) is crucial for the software quality assurance process as it examines the vulnerability of software products towards failures. Fault detection is a significant aspect of cost estimation in the initial stage, and hence, a fault predictor model is required to lower the expenses used during the development and maintenance phase. SFP is applied to identify the faulty modules of the software in order to complement the development as well as the testing process. Software metric based fault prediction reflects several aspects of the software. Several Machine Learning (ML) techniques have been implemented to eliminate faulty and unnecessary data from faulty modules. This chapter gives a brief introduction to SFP and includes a bibliometric analysis. The objective of the bibliometric analysis is to analyze research trends of ML techniques that are used for predicting software faults. This chapter uses the VOSviewer software and Biblioshiny tool to visually analyze 1623 papers fetched from the Scopus database for the past twenty years. It explores the distribution of publications over the years, top-rated publishers, contributing authors, funding agencies, cited papers and citations per paper. The collaboration of countries and cooccurrence analysis as well as over the year’s trend of author keywords are also explored. This chapter can be beneficial for young researchers to locate attractive and relevant research insights within SFP.
effect of using learning video media towards students’ study achievement of fiqh subject grade VII (research at state Islamic junior high school model Pasirsukarayat)
Authors: Yuniar Euis Ismayati , Trikawati Trikawati , Nurani Siti
Published: October 2022

This research aims to determine whether studying video media affects students' study accomplishment of Fiqh in grade 7 at State Islamic Junior High School Model Pasirsukarayat. The research is based on the assumption that students' study success is tied to the educational medium employed. Using learning material that engages and motivates students will impact their learning accomplishment. This study used a pretest-posttest two-group design. Observation, documentation, interview, and test are data collection methods. Based on the hypothesis significance test result, employing learning video media (t-count 2,58 t-table = 1,71) at the real level = 0.05 and the degree of freedom (df) = 78 has the lowest score = 7 and the maximum score = 10. The group that does not utilize learning video media scores (t-count 2,45 t-table = 1,71) at the actual level = 0,05 the degree of freedom (df) = 78 with the lowest score = 5 and the maximum score = 7. Ho is rejected, hence it may be concluded that utilizing learning video medium affects pupils' Fiqh grade 7 study success.