bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Kualitas Produk, Persepsi Harga, dan Lokasi Terhadap Keputusan Pembelian di Bozzi Coffee Jakarta Selatan
Authors: Hemas Dinda Putri , Cyasmoro Verry 
Published: August 2024

Penelitian ini ditujukan untuk mengidentifikasi apakah terdapat pengaruh dari kualitas produk, persepsi harga, dan lokasi terhadap keputusan pembelian di Bozzi Coffee Jakarta Selatan. Metode deskriptif pendekatan kuantitatif digunakan untuk mengumpulkan data. Pelanggan bozzi coffee berjumlah 100 responden digunakan sebagai populasi. Teknik purposive sampling digunakan untuk mengambil sempel. Survei dilakukan selama bulan April sampai dengan Juni 2024. Peneliti menggunakan 20 responden untuk diukur melalui uji validitas dan reliabilitas. Sedangkan metode analisis yang digunakan analisis linear berganda meliputi uji normalitas data, uji heteroskedastisitas, uji multikolinearitas, uji linearitas, uji regresi linear berganda dan pengujian hipotesis dengan uji F dan uji T. perangkat lunak IBM SPSS tipe 27 digunakan untuk melakukan pengolahan data. Hasil dari penelitian ini menyatakan bahwa kualitas produk dengan nilai signifikansi 0,153 yang berarti terdapat pengaruh yang positif namun tidak berpengaruh signifikansi terhadap keputusan pembelian sedangkan persepsi harga dengan nilai signifikansi 0,003 dan lokasi dengan nilai signifikansi 0,000 yang berarti keduanya berpengaruh positif, dan signifikansi terhadap keputusan pembelian di Bozzi Coffee Jakarta Selatan. Pada uji F menunjukkan nilai signifikansi sebesar 0,001 < 0,05 menunjukkan bahwa secara simultan H1 diterima dan dinyatakan variable kualitas produk, persepsi harga dan lokasi memiliki pengaruh signifikansi terhadap keputusan pembelian di Bozzi Coffee. Temuan ini memberikan implikasi bagi Bozzi Coffee untuk terus meningkatkan kualitas produk dan memperhatikan harga serta lokasi untuk menarik lebih banyak pelanggan.
ANALISIS BUSINESS MODEL CANVAS DAN VALUE PROPOSITION CANVAS SEBAGAI STRATEGI PENGEMBANGAN USAHA BISNIS MAKANAN SEHAT PASCA PANDEMI COVID-19
Authors: Afidah Nur 
Published: August 2024

Pandemi Covid-19 membuat banyak perubahan dalam bagaimana pelaku usaha menjalankan bisnisnya. Berbagai adaptasi dilakukan untuk mempertahankan bisnis. Banyak usaha yang pada akhirnya terpaksa berhenti beroperasi namun tidak sedikit juga yang justru data bertahan dan berkembang dengan bisnis model yang baru. Asinan Niekting adalah salah satu UMKM kuliner yang tetap bertahan semasa pandemi. Produknya yang memiliki banyak manfaat baik untuk kesehatan menjadi salah satu makanan yang banyak dibeli orang, baik untuk konsumsi sendiri maupun untuk mengirimkan kepada yang sedang diisolasi. Saat pandemi berakhir, terjadi perubahan pula dalam metode belanja dan pilihan asupan masyarakat, di mana offline shopping kembali banyak dilakukan dan pilihan makanan pun semakin banyak. Kesadaran masyarakat akan makanan sehat pun terdistraksi dengan banyaknya pilihan makanan lain yang banyak ditemukan di tempat-tempat umum seperti mall, pusat kuliner dan juga pasar. Hal tersebut membuat Asinan Niekting merasa terancam mengenai kesinambungan bisnisnya di masa setelah pandemi. Untuk itu, tujuan dari penelitian ini adalah dapat memberikan sebuah strategi pengembangan usaha bagi bisnis. Metode yang digunakan adalah deskriptif kualitatif dengan cara menganalisis business model canvas dan juga value proposition canvas untuk melihat peluang pengembangan usaha yang dapat dilakukan. Data didaptkan dari hasil wawancara langsung dengan pemilik usaha dan juga analisis data internal Perusahaan. Hasil dari penelitian ditemukan bahwa pada saluran penjualan masih terdapat ruang untuk pengembangan. Untuk itu strategi yang direkomendasikan kepada Asinan Niekting adalah perluasan saluran penjualan dengan toko offline, penjualan di toko ritel, penjualan melalui aplikasi seperti GoFood, GrabFood, ShopeeFood dan juga Maxim serta penjualan melalui e commerce yaitu Shopee dan Tokopedia
Pengaruh Komunikasi dan Disiplin Kerja Terhadap Kinerja Karyawan Pada PT Active Marine Industries Batam
Authors: Shofwan Ferdi , Khoiri M. 
Published: August 2024

Penelitian ditujukan guna mencari besarnya pengaruh dari komunikasi dan juga disiplin kerja pada kinerja karyawan PT Active Marine Industries Batam. Proses penelitian akan berlangsung di PT Active Marine Industries Batam yang berperan sebagai objek penelitian. Untuk populasi maupun sampel yang dipakai selama proses penelitian ini adalah karyawan dari PT Active Marine Industries Batam. Untuk jumlah dari populasi penelitian ini adalah sebanyak 155, dan juga menjadi total sampel yang dibutuhkan. Untuk penggunaan teknik sampling adalah simple random sampling sehingga semua dapat dijadikan sampel pada penelitian ini. Proses penelitian ini akan memerlukan data yang akan dikumpulkan dengan penyebaran kuesioner sebagai angket untuk variabel yang diteliti. Hasil dari angket yang dikumpulkan akan di olah dengan bantuan program SPSS versi 26. Dari hasil olah data yang keluar, dapat diketahui bahwa komunikasi dan disiplin kerja berpengaruh bersama-sama pada PT Active Marine Industries Batam pada variabel kinerja karyawan. Adapun nilai f hitung dari hasil olah data yang dilakukan adalah 116,804 > 2,66.
Mutation analysis of SHP2, SOS1, and SOS2 related to dysregulation of Ras/MAPK pathway in Noonan syndrome
Authors: Karimah Nihayatul 
Published: August 2024

Background: Noonan syndrome, characterized by short stature, congenital heart defects, and facial dysmorphology, results from dysregulation of the Ras/MAPK pathway. Mutations in Ras/MAPK pathway proteins such as SHP2, SOS1, and SOS2 are responsible for this condition.
Objective: This study aimed to model the mutations in SHP2, SOS1, and SOS2 using FoldX and predict the structural impact.
Methods: Mutations were sourced from the OMIM Database. Protein sequence was retrieved from UniProt, and evolutionary conservation profiles were estimated by ConSurf. The structures of SHP2 and SOS1 were obtained from Protein Data Bank, while the undefined structure of SOS2 was modeled using YASARA. FoldX was used to model the mutations in two steps: structure repair and residue mutation.
Results: The evolutionary conservation profile indicated that most mutations occur in the highly conserved residues. These mutations disrupt various important interactions at domain interfaces. The total energy changes were predominantly positive, indicating instability in the mutated proteins due to the loss of the domain interactions and some unfavorable local conformational changes.
Conclusion: FoldX is a valuable tool for modeling protein mutations and predicting altered function. The models demonstrate that the mutations contribute to the aberrant autoinhibitory control and catalytic activity of the proteins.
Optimizing sheep B-cell epitopes in Echinococcus granulosus recombinant antigen P29 for vaccine development
Authors: Yang Jihui , Lv Yongxue , Zhu Yazhou , Song Jiahui , Zhu Mingxing , Wu Changyou , Fu Yong , Zhao Wei , Zhao Yinqi 
Published: August 2024

BackgroundEchinococcus granulosus is a widespread zoonotic parasitic disease, significantly impacting human health and livestock development; however, no vaccine is currently available for humans. Our preliminary studies indicate that recombinant antigen P29 (rEg.P29) is a promising candidate for vaccine.MethodsSheep were immunized with rEg.P29, and venous blood was collected at various time points. Serum was isolated, and the presence of specific antibodies was detected using ELISA. We designed and synthesized a total of 45 B cell monopeptides covering rEg.P29 using the overlap method. ELISA was employed to assess the serum antibodies of the immunized sheep for recognition of these overlapping peptides, leading to the preliminary identification of B cell epitopes. Utilizing these identified epitopes, new single peptides were designed, synthesized, and used to optimize and confirm B-cell epitopes.ResultsrEg.P29 effectively induces a sustained antibody response in sheep, particularly characterized by high and stable levels of IgG. Eight B-cell epitopes of were identified, which were mainly distributed in three regions of rEg.P29. Finally, three B cell epitopes were identified and optimized: rEg.P2971-90, rEg.P29151-175, and rEg.P29211-235. These optimized epitopes were well recognized by antibodies in sheep and mice, and the efficacy of these three epitopes significantly increased when they were linked in tandem.ConclusionThree B-cell epitopes were identified and optimized, and the efficacy of these epitopes was significantly enhanced by tandem connection, which indicated the feasibility of tandem peptide vaccine research. This laid a solid foundation for the development of epitope peptide vaccine for Echinococcus granulosus.
Deep learning-based quantification of brain atrophy using 2D T1-weighted MRI for Alzheimer’s disease classification
Authors: Park Chae Jung , Park Yu Hyun , Kwak Kichang , Choi Soohwan , Kim Hee Jin , Na Duk L. , Seo Sang Won , Chun Min Young 
Published: August 2024

BackgroundDetermining brain atrophy is crucial for the diagnosis of neurodegenerative diseases. Despite detailed brain atrophy assessments using three-dimensional (3D) T1-weighted magnetic resonance imaging, their practical utility is limited by cost and time. This study introduces deep learning algorithms for quantifying brain atrophy using a more accessible two-dimensional (2D) T1, aiming to achieve cost-effective differentiation of dementia of the Alzheimer’s type (DAT) from cognitively unimpaired (CU), while maintaining or exceeding the performance obtained with T1-3D individuals and to accurately predict AD-specific atrophy similarity and atrophic changes [W-scores and Brain Age Index (BAI)].MethodsInvolving 924 participants (478 CU and 446 DAT), our deep learning models were trained on cerebrospinal fluid (CSF) volumes from 2D T1 images and compared with 3D T1 images. The performance of the models in differentiating DAT from CU was assessed using receiver operating characteristic analysis. Pearson’s correlation analyses were used to evaluate the relations between 3D T1 and 2D T1 measurements of cortical thickness and CSF volumes, AD-specific atrophy similarity, W-scores, and BAIs.ResultsOur deep learning models demonstrated strong correlations between 2D and 3D T1-derived CSF volumes, with correlation coefficients r ranging from 0.805 to 0.971. The algorithms based on 2D T1 accurately distinguished DAT from CU with high accuracy (area under the curve values of 0.873), which were comparable to those of algorithms based on 3D T1. Algorithms based on 2D T1 image-derived CSF volumes showed high correlations in AD-specific atrophy similarity (r = 0.915), W-scores for brain atrophy (0.732 ≤ r ≤ 0.976), and BAIs (r = 0.821) compared with those based on 3D T1 images.ConclusionDeep learning-based analysis of 2D T1 images is a feasible and accurate alternative for assessing brain atrophy, offering diagnostic precision comparable to that of 3D T1 imaging. This approach offers the advantage of the availability of T1-2D imaging, as well as reduced time and cost, while maintaining diagnostic precision comparable to T1-3D.
Dietary inflammatory index and type 2 diabetes in US women: a cross-sectional analysis of the National Health and Nutrition Examination Survey, 2007–2018
Authors: Mo Tingyan , Wei Man , Fu Jinyan 
Published: August 2024

ObjectiveType 2 diabetes (T2D) is a major public health concern in the United States and worldwide. The dietary inflammatory index (DII) is a useful tool for assessing dietary inflammation. Although much research links the DII to diabetes, little is known about the relationship in adult women with a reproductive history in the United States. We aimed to investigate how the relationship between the DII and T2D varies among different subgroups of American women.MethodsSecondary data from the National Health and Nutrition Examination Survey from 2007 to 2018 were analyzed. Cross-sectional analysis of 8,394 American women aged 20 years or older who had at least one live birth. The main outcome was the diagnosis of T2D. Multivariate survey-weighted regression was used to determine the odds ratio (OR) and 95% confidence interval (95%CI) for the association between DII and T2D. A weighted restricted cubic spline (RCS) model was constructed to establish OR curves at three knots to examine the dose–response association between DII and T2D. Additionally, a weighted subgroup analysis was performed in a fully adjusted model to verify that the association was robust.ResultsThe study main found a significant association between the DII and T2D (OR = 1.19, 95%CI: 1.12, 1.26, p &lt; 0.001). Participants in the highest third of DII scores had a 56% increased risk of T2D (OR = 1.56, 95%CI: 1.16, 2.10; p for trend = 0.003) compared with those in the lowest third of DII scores, after adjusting for all covariates. The multivariable RCS demonstrated a linear association between DII and T2D (p = 0.892). The subsidiary found that subgroup analyses revealed a significant variation in the association between DII and T2D according to obesity, oral health, and poverty-income ratio (PIR) status. Among non-obese women, the OR was 1.22 (95%CI: 1.08, 1.37); among women with good oral health, the OR was 1.17 (95%CI: 1.07, 1.28); among women with low PIR, the OR was 1.17 (95%CI: 1.05, 1.30); and among women with high PIR, the OR was 1.26 (95% CI: 1.07, 1.48).ConclusionOur findings suggest that there is a significant association between DII and T2D and that oral health, obesity, and PIR status may influence the relationship between DII and T2D risk. Further studies are warranted to validate our results and evaluate whether the results are similar in other populations.
Relationships of mental budgeting of the self-employed without personnel with tax compliance, pension, and disability arrangements
Authors: Antonides Gerrit , de Groot I. Manon 
Published: August 2024

IntroductionSelf-employed people without personnel mostly behave like consumers in managing their business finances, frequently leading to ill-management of the company finances. Ill-management may lead to inability to fulfill important financial obligations and making financial arrangements for the future. Here, we investigate the hypothesis that financial management is related to tax compliance.MethodsWe use having an overview of expenses, making ends meet, occurrence of a business bank overdraft, and how long the business could survive without income, as indicators of financial management. Four measures of tax compliance, i.e., the OECD measure of tax compliance, measures taken by the tax administration, enforced tax compliance, and voluntary tax compliance, and two measures of social security, i.e., pension and disability arrangements, are included. We use survey data from a sample of 1,191 Dutch self-employed people without personnel, roughly equally divided between starters ( ≤ 3 years in business) and non-starters (&gt;3 years in business).ResultsWe found both significant direct and indirect effects of mental budgeting on tax compliance and social security arrangements, thus showing incomplete mediation effects of financial management.DiscussionThe mediation effects of having an overview of expenses were relatively strong for the OECD and voluntary compliance measures, whereas the mediation effects of not making ends meet and bank overdrafts were relatively strong for measures taken by the tax administration and enforced compliance, thus indicating different financial management processes matching different motivations of tax compliance.
Unveiling the dynamic evolution of comparative advantage: assessing the competitiveness of China’s main winter and spring vegetable production regions
Authors: Hou Dainan , Wang Xin 
Published: August 2024

IntroductionChina is the world’s largest producer and consumer of vegetables, with all provinces, cities, and autonomous regions cultivating vegetables. The main production areas for winter and spring vegetables have higher accumulated temperatures, allowing for multiple planting seasons throughout the year. Therefore, this article examines the competitiveness of vegetable production in China’s main winter and spring vegetable producing areas from the perspective of the dynamic evolution of comparative advantages.MethodsDrawing on statistical data from 2000 to 2018 on the development of the vegetable industry in these key provinces, our analysis incorporates methods such as the Resource Endowment Coefficient, the Comprehensive Comparative Advantage Index, the entropy method, and systematic cluster analysis to explore the evolution of competitive advantages in vegetable production across various provinces and cities.Results and discussionThe findings reveal significant regional disparities in resource endowments and overall advantages in vegetable production during the winter and spring seasons. Notably, Chongqing, Hubei Province, and Shanghai exhibit a Resource Endowment Factor (EF) averaging above 1, indicating a relative abundance of production resources and a comparative advantage. Similarly, Hainan Province, the Guangxi Zhuang Autonomous Region, Guangdong Province, Fujian Province, Shanghai, and Zhejiang Province each demonstrate an average Comprehensive Advantage Index (AAI) exceeding 1, affirming their comprehensive comparative strengths. Overall, the competitiveness of vegetable production in these regions exhibits a fluctuating yet ascending trend, with notable disparities in competitive strengths across different areas. The ranking of annual average competitiveness scores in vegetable production is as follows: Shanghai &gt; Zhejiang &gt; Hubei &gt; Hunan &gt; Guangdong &gt; Sichuan &gt; Chongqing &gt; Fujian &gt; Guangxi &gt; Jiangxi &gt; Hainan &gt; Yunnan. Based on these outcomes, the study proposes tailored strategic recommendations for provinces and cities according to their unique resource endowments and comparative advantages, aiming to enhance the sector’s productivity and competitive stance.
Exact Reliability and Signature Formulas for Linear m-Consecutive-k-out-of-n: F Systems
Authors: Gökdere Gökhan , Bugatekin Ayse 
Published: August 2024

An m-consecutive-k-out-of-n: F (m/C/k/n: F) system consists of n linearly ordered components such that the system fails if and only if there are at least m nonoverlapping runs of k consecutive failed components. Our motivation in this work is to obtain efficient formulas for the signature and reliability of the m/C/k/n: F system with independent and identical (i.i.d) components that are easy to implement and have a low computational time. We demonstrate that the reliability formula derived for this system requires less computational time than the m/C/k/n: F system formula currently in use. For the minimal and maximal signatures of the m/C/k/n: F system, we provide precise equations. In addition, the average number of faulty components at the time of an m/C/k/n: F system failure and mean time to failure (MTTF) of an m/C/k/n: F system are analyzed through the system signature.
Phenotypic and Genotypic Characterization of Resistance and Virulence Markers in Candida spp. Isolated from Community-Acquired Infections in Bucharest, and the Impact of AgNPs on the Highly Resistant Isolates
Authors: Corbu Viorica Maria , Georgescu Ana-Maria , Marinas Ioana Cristina , Pericleanu Radu , Mogos Denisa Vasilica , Dumbravă Andreea Ștefania , Marinescu Liliana , Pecete Ionut , Vassu-Dimov Tatiana , Czobor Barbu Ilda , Csutak Ortansa , Ficai Denisa , Gheorghe-Barbu Irina 
Published: August 2024

Background: This study aimed to determine, at the phenotypic and molecular levels, resistance and virulence markers in Candida spp. isolated from community-acquired infections in Bucharest outpatients during 2021, and to demonstrate the efficiency of alternative solutions against them based on silver nanoparticles (AgNPs). Methods: A total of 62 Candida spp. strains were isolated from dermatomycoses and identified using chromogenic culture media and MALDI-TOF MS, and then investigated for their antimicrobial resistance and virulence markers (VMs), as well as for metabolic enzymes using enzymatic tests for the expression of soluble virulence factors, their biofilm formation and adherence capacity on HeLa cells, and PCR assays for the detection of virulence markers and the antimicrobial activity of alternative solutions based on AgNPs. Results: Of the total of 62 strains, 45.16% were Candida parapsilosis; 29.03% Candida albicans; 9.67% Candida guilliermondii; 3.22% Candida lusitaniae, Candia pararugosa, and Candida tropicalis; and 1.66% Candida kefyr, Candida famata, Candida haemulonii, and Candida metapsilosis. Aesculin hydrolysis, caseinase, and amylase production were detected in the analyzed strains. The strains exhibited different indices of adherence to HeLa cells and were positive in decreasing frequency order for the LIP1, HWP1, and ALS1,3 genes (C. tropicalis/C. albicans). An inhibitory effect on microbial growth, adherence capacity, and on the production of virulence factors was obtained using AgNPs. Conclusions: The obtained results in C. albicans and Candida non-albicans circulating in Bucharest outpatients were characterized by moderate-to-high potential to produce VMs, necessitating epidemiological surveillance measures to minimize the chances of severe invasive infections.
METHOD DEVELOPMENT AND VALIDATION OF TOTAL VIABLE COUNT USING SPECIFIED TECHNIQUES AND PERFORMANCE CHARACTERISTICS OF ISO/IEC 17025:2017 IN MICROBIOLOGICAL SAMPLES
Authors: Qureshi Muhammad Amjad , Niaz Abid , Ali Muhammad Asif , Rahman Sajid ur , Ehsan Shabana , Nazir Shahid , Rafique Munazza , Javed Hina , Ijaz Fraza , Nawaz Allah , Shahid Muhammad , Saleem Ifra 
Published: August 2024

Biofertilizers are microbial based products, and their quality control is very much tricky job due to their biological nature and susceptibility to environmental factors. There are certain parameters that needs to be satisfied for the fitness of product. The principal parameter that showed the presence of microbes in the desired number is Total Viable Count besides other parameters etc. The series of lab studies were carried out at Biofertilizer Testing Laboratory (BTL-FSD), Soil Bacteriology Section, Faisalabad to evaluate the method development and validation characters mentioned in ISO/IEC 17025: 2017 standard for testing laboratories. The method developed keeping in view of (PSQCA standard) PS: 5330/2014 and amended according to the lab conditions and validated. Different techniques mentioned in clauses 7.2.2 and 7.2.2.3 were carried out in the lab environment. The bias expressed as LOG 10 were within the range of -0.024 to 0.034 and relative standard deviation (RSD) was <2%. The RSD of repeatability was 0.607% and reproducibility was 0.656 and 0.744%. The significance determined as t-stat was 0.280 well below the t-critical one and two tail i.e., 1.86 and 2.31, respectively and accuracy of method using robust mean was 99.8%. The measurement of uncertainty (MoU) was ±0.05 at 95% confidence interval and expanded uncertainty of the method was 0.1145. The LOD and LOQ of the method was evaluated as 0.090897 and 0.275445 expressed as LOG 10. On the basis of techniques and characters under assessment, it was concluded that method of total viable count satisfied the requirements of ISO/IEC 17025:2017 standard and validated